fix(docs): preserve Python pages alongside package index

- add the Rust-backed Python API with PyStemmer compatibility
- distribute standard compiled models as a separate Python package
- generate model artifacts during builds instead of storing them in Git
- add GitHub release and Pages-backed package index workflows
- add Python tests, benchmarks, documentation, and Gradle integration
- refresh the documentation site, branding, and language benchmarks

.github/RELEASING-PYTHON.md

@@ -0,0 +1,52 @@
+# Releasing the Python distributions
+
+This maintainer-only checklist is intentionally outside the public MkDocs site.
+
+The repository descriptors use `0.0.0` as a non-release placeholder. Release
+workflows create isolated staging trees and inject the stable version selected
+by the tag. Never commit a release-number rewrite of the descriptors.
+Standard `.rxc` resources are also generated in that staging tree from the
+canonical model sources. The workflow compiles every model twice and rejects
+non-deterministic output; generated payload must never be added to Git.
+
+## Validate without publishing
+
+Run **Python Standard Models Release** manually with version `1.0.0`, then run
+**Python Native Release** with version `4.1.0`. `workflow_dispatch` validates
+artifacts but cannot publish. The native run must pass Linux x86-64, Linux
+ARM64, macOS universal2, and Windows x86-64.
+
+For the Linux paths, maintainers can use `act` with rootless Podman and the
+event files under `.github/act/`. Do not pass production secrets to `act`.
+
+## Publish in dependency order
+
+Both tags must point to a commit already contained in `main`.
+
+```bash
+git tag -a 'python-models-standard@1.0.0' \
+  -m 'Python standard models 1.0.0'
+git push origin 'python-models-standard@1.0.0'
+```
+
+Wait until the models workflow has published its GitHub Release and Pages
+index entry. Then publish the native distribution:
+
+```bash
+git tag -a 'python@4.1.0' -m 'Python Radixor 4.1.0'
+git push origin 'python@4.1.0'
+```
+
+Do not push both tags together: native publication requires the standard-model
+release to exist first.
+
+## Artifact identity
+
+Python releases use `SHA256SUMS` and GitHub keyless build-provenance
+attestations. They do not use the Java Maven OpenPGP key. Verify a downloaded
+artifact with:
+
+```bash
+sha256sum --check SHA256SUMS
+gh attestation verify <artifact> --repo leogalambos/Radixor
+```

.github/act/python-models-standard.json

@@ -0,0 +1,5 @@
+{
+  "inputs": {
+    "version": "1.0.0"
+  }
+}

.github/act/python-native.json

@@ -0,0 +1,5 @@
+{
+  "inputs": {
+    "version": "4.1.0"
+  }
+}

.github/workflows/pages.yml

@@ -26,42 +26,43 @@ on:
   workflow_dispatch:
 
 permissions:
-  contents: write
+  contents: read
 
 concurrency:
-  group: pages-${{ github.ref }}
-  cancel-in-progress: true
+  group: github-python-pages
+  cancel-in-progress: false
 
 jobs:
-  publish-pages:
-    name: Publish static reports
+  build-pages:
+    name: Build static reports
     runs-on: ubuntu-latest
 
     steps:
       - name: Check out source repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262 # v4
         with:
           fetch-depth: 0
+          persist-credentials: false
 
       - name: Validate Gradle wrapper
-        uses: gradle/actions/wrapper-validation@v4
+        uses: gradle/actions/wrapper-validation@0b6dd653ba04f4f93bf581ec31e66cbd7dcb644d # v4
 
       - name: Set up Temurin JDK 21
-        uses: actions/setup-java@v4
+        uses: actions/setup-java@cf277c60eb25467037889841efdb72551f06f6c3 # v4
         with:
           distribution: temurin
           java-version: '21'
 
       - name: Set up Gradle caching and instrumentation
-        uses: gradle/actions/setup-gradle@v4
+        uses: gradle/actions/setup-gradle@0b6dd653ba04f4f93bf581ec31e66cbd7dcb644d # v4
 
       - name: Set up Python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
         with:
-          python-version: '3.x'
+          python-version: '3.14.6'
 
       - name: Install MkDocs Material
-        run: python -m pip install --upgrade pip mkdocs-material
+        run: python -m pip install --disable-pip-version-check mkdocs-material==9.7.6
 
       - name: Verify reproducibility inputs
         shell: bash
@@ -326,18 +327,84 @@ jobs:
         run: |
           set -euo pipefail
           mkdocs build --strict --config-file build/mkdocs/mkdocs.yml
-          rsync -a --delete --exclude '.git' --exclude '.git/' --exclude 'builds/' build/mkdocs-site/ .gh-pages/
+          rsync -a --delete \
+            --exclude '.git' --exclude '.git/' \
+            --exclude 'builds/' --exclude 'python/simple/' \
+            build/mkdocs-site/ .gh-pages/
           mkdir -p .gh-pages/builds
           cp build/mkdocs-site/builds/index.html .gh-pages/builds/index.html
           cat > .gh-pages/.nojekyll <<EOF
           EOF
 
-      - name: Commit and push gh-pages
+      - name: Prepare read-only publication candidate
         shell: bash
         run: |
           set -euo pipefail
-          cd .gh-pages
+          rm -rf .gh-pages/python/simple
+          rm -f .gh-pages/.git
+          if find .gh-pages -type l -print -quit | grep -q .; then
+            echo 'Publication candidate contains a symbolic link.' >&2
+            exit 1
+          fi
 
+      - name: Upload static-site candidate
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
+        with:
+          name: pages-site-${{ github.run_id }}
+          path: .gh-pages
+          if-no-files-found: error
+          include-hidden-files: true
+          retention-days: 1
+
+  publish-pages:
+    name: Publish static reports
+    needs: build-pages
+    runs-on: ubuntu-latest
+    environment: python-github-pages
+    permissions:
+      contents: write
+
+    steps:
+      - name: Check out repository for publication
+        uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262 # v4
+        with:
+          fetch-depth: 0
+          path: pages
+
+      - name: Select or initialize gh-pages
+        shell: bash
+        run: |
+          set -euo pipefail
+          cd pages
+          if git ls-remote --exit-code --heads origin gh-pages >/dev/null 2>&1; then
+            git fetch origin gh-pages:refs/remotes/origin/gh-pages
+            git checkout -B gh-pages origin/gh-pages
+          else
+            git checkout --orphan gh-pages
+            git rm -rf .
+          fi
+
+      - name: Download static-site candidate
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
+        with:
+          name: pages-site-${{ github.run_id }}
+          path: candidate
+
+      - name: Validate and publish static site
+        shell: bash
+        run: |
+          set -euo pipefail
+          test ! -e candidate/python/simple
+          test ! -e candidate/.git
+          if find candidate -type l -print -quit | grep -q .; then
+            echo 'Publication candidate contains a symbolic link.' >&2
+            exit 1
+          fi
+          rsync -a --delete \
+            --exclude '.git' --exclude '.git/' \
+            --exclude 'python/simple' --exclude 'python/simple/' \
+            candidate/ pages/
+          cd pages
           git config user.name "github-actions[bot]"
           git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
 
@@ -348,4 +415,4 @@ jobs:
           fi
 
           git commit -m "Publish reports for run ${GITHUB_RUN_NUMBER}"
-          git push origin gh-pages
+          git push origin HEAD:gh-pages

.github/workflows/python-models-standard-release.yml

@@ -0,0 +1,238 @@
+name: Python Standard Models Release
+
+on:
+  push:
+    tags:
+      - 'python-models-standard@*'
+  workflow_dispatch:
+    inputs:
+      version:
+        description: Stable distribution version to validate without publishing
+        required: true
+        default: '1.0.0'
+        type: string
+
+permissions:
+  contents: read
+
+concurrency:
+  group: github-python-pages
+  cancel-in-progress: false
+
+jobs:
+  build:
+    name: Build and verify standard models
+    runs-on: ubuntu-latest
+    outputs:
+      version: ${{ steps.release.outputs.version }}
+      tag: ${{ steps.release.outputs.tag }}
+
+    steps:
+      - name: Check out repository
+        if: ${{ env.ACT != 'true' }}
+        uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262 # v4
+        with:
+          fetch-depth: 0
+          persist-credentials: false
+
+      - name: Set up Python
+        uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
+        with:
+          python-version: '3.12.10'
+
+      - name: Install pinned Rust toolchain
+        uses: dtolnay/rust-toolchain@4360b52568e2003a75bf9bc1d59f33a8e3fc893c
+        with:
+          toolchain: 1.88.0
+
+      - name: Select and validate release
+        id: release
+        shell: bash
+        env:
+          REQUESTED_VERSION: ${{ inputs.version }}
+        run: |
+          set -euo pipefail
+          if [[ "${GITHUB_EVENT_NAME}" == 'push' ]]; then
+            tag="${GITHUB_REF_NAME}"
+          else
+            tag="python-models-standard@${REQUESTED_VERSION}"
+          fi
+          eval "$(./tools/parse-python-release-tag.sh "${tag}")"
+          [[ "${PYTHON_DISTRIBUTION}" == 'radixor-models-standard' ]]
+          if [[ "${GITHUB_EVENT_NAME}" == 'push' ]]; then
+            [[ "$(git rev-parse "${tag}^{commit}")" == "${GITHUB_SHA}" ]]
+            git merge-base --is-ancestor "${GITHUB_SHA}" origin/main
+          fi
+          printf 'version=%s\ntag=%s\n' "${PYTHON_VERSION}" "${tag}" >> "${GITHUB_OUTPUT}"
+
+      - name: Install pinned build tools
+        run: >-
+          python -m pip install --disable-pip-version-check
+          maturin==1.14.1 setuptools==80.9.0 wheel==0.45.1
+
+      - name: Compile models and build isolated release tree
+        shell: bash
+        run: |
+          set -euo pipefail
+          rm -rf build/python-release
+          mkdir -p build/python-release/compiler-wheel build/python-release/compiler-runtime
+          maturin build --release --locked --manifest-path python/Cargo.toml \
+            --out build/python-release/compiler-wheel
+          python -c "from pathlib import Path; import zipfile; wheels=list(Path('build/python-release/compiler-wheel').glob('*.whl')); assert len(wheels) == 1; zipfile.ZipFile(wheels[0]).extractall('build/python-release/compiler-runtime')"
+          PYTHONPATH=build/python-release/compiler-runtime \
+            python python/scripts/build_standard_models.py \
+              --project build/python-release/models-standard \
+              --distribution-version '${{ steps.release.outputs.version }}'
+          python python/scripts/build_standard_distribution.py \
+            --project build/python-release/models-standard \
+            --outdir build/python-release/artifacts
+
+      - name: Verify archives and offline installation
+        shell: bash
+        run: |
+          set -euo pipefail
+          python python/scripts/verify_distributions.py \
+            --standard-dir build/python-release/artifacts \
+            --standard-version '${{ steps.release.outputs.version }}'
+          python python/scripts/assemble_release.py \
+            models-standard '${{ steps.release.outputs.version }}' \
+            build/python-release/artifacts build/python-release/release
+          python -m venv build/python-release/venv
+          build/python-release/venv/bin/python -m pip install \
+            --no-index --find-links build/python-release/release \
+            radixor-models-standard
+          build/python-release/venv/bin/python -c \
+            "from importlib import resources; assert resources.files('radixor_models_standard').joinpath('manifest.json').is_file()"
+
+      - name: Prepare complete PEP 503 index candidate
+        shell: bash
+        run: |
+          set -euo pipefail
+          index_root='build/python-release/index/python/simple'
+          if [[ "${ACT:-false}" != 'true' ]] && git ls-remote --exit-code --heads origin gh-pages >/dev/null 2>&1; then
+            git fetch origin gh-pages:refs/remotes/origin/gh-pages
+            git worktree add --detach build/python-release/pages origin/gh-pages
+            mkdir -p "$(dirname "${index_root}")"
+            if [[ -d build/python-release/pages/python/simple ]]; then
+              cp -R build/python-release/pages/python/simple "${index_root}"
+            fi
+          fi
+          python python/scripts/update_simple_index.py \
+            --root "${index_root}" \
+            --repository "${GITHUB_REPOSITORY}" \
+            --package radixor-models-standard \
+            --version '${{ steps.release.outputs.version }}' \
+            --tag '${{ steps.release.outputs.tag }}' \
+            --artifacts build/python-release/release
+
+      - name: Upload verified release candidate
+        if: ${{ env.ACT != 'true' }}
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
+        with:
+          name: python-models-standard-release-${{ steps.release.outputs.version }}
+          path: build/python-release/release/*
+          if-no-files-found: error
+          retention-days: 14
+
+      - name: Upload package-index candidate
+        if: ${{ env.ACT != 'true' }}
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
+        with:
+          name: python-models-standard-index-${{ steps.release.outputs.version }}
+          path: build/python-release/index/python/simple
+          if-no-files-found: error
+          retention-days: 14
+
+  publish:
+    name: Publish immutable GitHub Release
+    if: github.event_name == 'push'
+    needs: build
+    runs-on: ubuntu-latest
+    environment: python-github-release
+    permissions:
+      contents: write
+      id-token: write
+      attestations: write
+
+    steps:
+      - name: Download verified release candidate
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
+        with:
+          name: python-models-standard-release-${{ needs.build.outputs.version }}
+          path: release
+
+      - name: Verify release inventory
+        shell: bash
+        run: |
+          set -euo pipefail
+          cd release
+          sha256sum --check SHA256SUMS
+          awk '{print $2}' SHA256SUMS | LC_ALL=C sort > expected-files
+          find . -maxdepth 1 -type f \( -name '*.whl' -o -name '*.tar.gz' \) \
+            -printf '%f\n' | LC_ALL=C sort > actual-files
+          diff -u expected-files actual-files
+          rm expected-files actual-files
+
+      - name: Attest package artifacts
+        uses: actions/attest-build-provenance@e8998f949152b193b063cb0ec769d69d929409be # v2
+        with:
+          subject-path: |
+            release/*.whl
+            release/*.tar.gz
+
+      - name: Create and publish draft release exactly once
+        shell: bash
+        env:
+          GH_TOKEN: ${{ github.token }}
+          RELEASE_TAG: ${{ needs.build.outputs.tag }}
+          RELEASE_VERSION: ${{ needs.build.outputs.version }}
+        run: |
+          set -euo pipefail
+          if gh release view "${RELEASE_TAG}" \
+            --repo "${GITHUB_REPOSITORY}" >/dev/null 2>&1; then
+            echo "Release already exists; refusing to replace its assets: ${RELEASE_TAG}" >&2
+            exit 1
+          fi
+          gh release create "${RELEASE_TAG}" \
+            release/*.whl release/*.tar.gz release/SHA256SUMS \
+            --repo "${GITHUB_REPOSITORY}" \
+            --verify-tag --draft --title "radixor-models-standard ${RELEASE_VERSION}" \
+            --notes "Precompiled standard Radixor model distribution ${RELEASE_VERSION}."
+          gh release edit "${RELEASE_TAG}" \
+            --repo "${GITHUB_REPOSITORY}" --draft=false
+
+  publish-index:
+    name: Publish Python package index
+    if: github.event_name == 'push'
+    needs: [build, publish]
+    runs-on: ubuntu-latest
+    environment: python-github-pages
+    permissions:
+      contents: write
+
+    steps:
+      - name: Check out gh-pages only
+        uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262 # v4
+        with:
+          ref: gh-pages
+          path: pages
+
+      - name: Download validated index candidate
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
+        with:
+          name: python-models-standard-index-${{ needs.build.outputs.version }}
+          path: candidate
+
+      - name: Commit package index
+        shell: bash
+        run: |
+          set -euo pipefail
+          mkdir -p pages/python/simple
+          rsync -a --delete candidate/ pages/python/simple/
+          cd pages
+          git config user.name 'github-actions[bot]'
+          git config user.email '41898282+github-actions[bot]@users.noreply.github.com'
+          git add python/simple
+          git diff --cached --quiet && exit 0
+          git commit -m 'Index radixor-models-standard ${{ needs.build.outputs.version }}'
+          git push origin HEAD:gh-pages

.github/workflows/python-release.yml

@@ -0,0 +1,456 @@
+name: Python Native Release
+
+on:
+  push:
+    tags:
+      - 'python@*'
+  workflow_dispatch:
+    inputs:
+      version:
+        description: Stable distribution version to validate without publishing
+        required: true
+        default: '4.1.0'
+        type: string
+
+permissions:
+  contents: read
+
+concurrency:
+  group: github-python-pages
+  cancel-in-progress: false
+
+jobs:
+  prepare:
+    name: Prepare versioned sources and sdist
+    runs-on: ubuntu-latest
+    outputs:
+      version: ${{ steps.release.outputs.version }}
+      tag: ${{ steps.release.outputs.tag }}
+
+    steps:
+      - name: Check out repository
+        if: ${{ env.ACT != 'true' }}
+        uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262 # v4
+        with:
+          fetch-depth: 0
+          persist-credentials: false
+
+      - name: Set up Python
+        uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
+        with:
+          python-version: '3.12.10'
+
+      - name: Install pinned Rust toolchain
+        uses: dtolnay/rust-toolchain@4360b52568e2003a75bf9bc1d59f33a8e3fc893c
+        with:
+          toolchain: 1.88.0
+
+      - name: Select and validate release
+        id: release
+        shell: bash
+        env:
+          REQUESTED_VERSION: ${{ inputs.version }}
+        run: |
+          set -euo pipefail
+          if [[ "${GITHUB_EVENT_NAME}" == 'push' ]]; then
+            tag="${GITHUB_REF_NAME}"
+          else
+            tag="python@${REQUESTED_VERSION}"
+          fi
+          eval "$(./tools/parse-python-release-tag.sh "${tag}")"
+          [[ "${PYTHON_DISTRIBUTION}" == 'radixor' ]]
+          if [[ "${GITHUB_EVENT_NAME}" == 'push' ]]; then
+            [[ "$(git rev-parse "${tag}^{commit}")" == "${GITHUB_SHA}" ]]
+            git merge-base --is-ancestor "${GITHUB_SHA}" origin/main
+          fi
+          printf 'version=%s\ntag=%s\n' "${PYTHON_VERSION}" "${tag}" >> "${GITHUB_OUTPUT}"
+
+      - name: Install pinned source-build tools
+        run: >-
+          python -m pip install --disable-pip-version-check
+          maturin==1.14.1 setuptools==80.9.0 wheel==0.45.1
+
+      - name: Materialize versioned native source
+        shell: bash
+        run: |
+          set -euo pipefail
+          rm -rf build/python-release
+          python python/scripts/prepare_release_tree.py \
+            native '${{ steps.release.outputs.version }}' \
+            build/python-release/native-source
+
+      - name: Build and verify source distributions
+        shell: bash
+        run: |
+          set -euo pipefail
+          mkdir -p build/python-release/compiler-wheel build/python-release/compiler-runtime \
+            build/python-release/native-sdist build/python-release/models
+          maturin build --release --locked \
+            --manifest-path build/python-release/native-source/Cargo.toml \
+            --out build/python-release/compiler-wheel
+          python -c "from pathlib import Path; import zipfile; wheels=list(Path('build/python-release/compiler-wheel').glob('*.whl')); assert len(wheels) == 1; zipfile.ZipFile(wheels[0]).extractall('build/python-release/compiler-runtime')"
+          PYTHONPATH=build/python-release/compiler-runtime \
+            python python/scripts/build_standard_models.py \
+              --project build/python-release/models-source \
+              --distribution-version 1.0.0
+          maturin sdist --manifest-path build/python-release/native-source/Cargo.toml \
+            --out build/python-release/native-sdist
+          python python/scripts/build_standard_distribution.py \
+            --project build/python-release/models-source \
+            --outdir build/python-release/models
+          python python/scripts/verify_distributions.py \
+            --standard-dir build/python-release/models \
+            --standard-version 1.0.0
+          PYTHONPATH=python/scripts python -c \
+            "from pathlib import Path; from verify_distributions import _verify_main_sdist; _verify_main_sdist(next(Path('build/python-release/native-sdist').glob('*.tar.gz')), '${{ steps.release.outputs.version }}')"
+
+      - name: Upload versioned native source
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
+        with:
+          name: native-source-${{ steps.release.outputs.version }}
+          path: |
+            build/python-release/native-source
+            !build/python-release/native-source/target/**
+          if-no-files-found: error
+          retention-days: 1
+
+      - name: Upload native sdist
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
+        with:
+          name: native-sdist-${{ steps.release.outputs.version }}
+          path: build/python-release/native-sdist/*.tar.gz
+          if-no-files-found: error
+          retention-days: 14
+
+      - name: Upload verified model fixture
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
+        with:
+          name: native-model-fixture-${{ steps.release.outputs.version }}
+          path: build/python-release/models/*
+          if-no-files-found: error
+          retention-days: 1
+
+  build-linux-x86-64:
+    name: Build Linux x86-64 wheel
+    needs: prepare
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Set up Python
+        uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
+        with:
+          python-version: '3.12.10'
+
+      - name: Install pinned Rust toolchain
+        uses: dtolnay/rust-toolchain@4360b52568e2003a75bf9bc1d59f33a8e3fc893c
+        with:
+          toolchain: 1.88.0
+
+      - name: Download versioned native source
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
+        with:
+          name: native-source-${{ needs.prepare.outputs.version }}
+          path: build/python-release/native-source
+
+      - name: Download model fixture
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
+        with:
+          name: native-model-fixture-${{ needs.prepare.outputs.version }}
+          path: build/python-release/models
+
+      - name: Select Linux build isolation
+        id: linux-isolation
+        shell: bash
+        run: |
+          if [[ "${ACT:-}" == 'true' ]]; then
+            echo 'manylinux=off' >> "${GITHUB_OUTPUT}"
+            echo 'container=' >> "${GITHUB_OUTPUT}"
+          else
+            echo 'manylinux=auto' >> "${GITHUB_OUTPUT}"
+            echo 'container=quay.io/pypa/manylinux2014_x86_64@sha256:0a42cb7e5f4ba6bbfb8d0a86d1aab0c8876ba9c3be16bd99360ae42bf010ec77' >> "${GITHUB_OUTPUT}"
+          fi
+
+      - name: Build manylinux wheel
+        uses: PyO3/maturin-action@e83996d129638aa358a18fbd1dfb82f0b0fb5d3b # v1
+        with:
+          command: build
+          target: x86_64
+          manylinux: ${{ steps.linux-isolation.outputs.manylinux }}
+          container: ${{ steps.linux-isolation.outputs.container }}
+          maturin-version: v1.14.1
+          rust-toolchain: 1.88.0
+          working-directory: build/python-release/native-source
+          args: --release --locked --out ../wheel
+
+      - name: Smoke-test wheel with standard models
+        shell: bash
+        run: |
+          set -euo pipefail
+          python -m pip install --no-index \
+            --find-links build/python-release/wheel \
+            --find-links build/python-release/models radixor
+          python -c "from radixor import Stemmer; assert Stemmer('en').stem('running') == 'run'"
+
+      - name: Upload Linux x86-64 wheel
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
+        with:
+          name: native-wheel-linux-x86-64-${{ needs.prepare.outputs.version }}
+          path: build/python-release/wheel/*.whl
+          if-no-files-found: error
+          retention-days: 14
+
+  build-platform-wheels:
+    name: Build ${{ matrix.name }} wheel
+    needs: prepare
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - name: Linux aarch64
+            os: ubuntu-24.04-arm
+            target: aarch64
+            manylinux: auto
+            container: quay.io/pypa/manylinux2014_aarch64@sha256:63bfa74be47f0277e998cb7c1b571b27664ac848bb356b0f4588438f930285dd
+            artifact: linux-aarch64
+          - name: macOS universal2
+            os: macos-14
+            target: universal2-apple-darwin
+            manylinux: 'off'
+            container: ''
+            artifact: macos-universal2
+          - name: Windows x86-64
+            os: windows-2022
+            target: x86_64-pc-windows-msvc
+            manylinux: 'off'
+            container: ''
+            artifact: windows-x86-64
+    runs-on: ${{ matrix.os }}
+
+    steps:
+      - name: Set up Python
+        uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
+        with:
+          python-version: '3.12.10'
+
+      - name: Install pinned Rust toolchain
+        uses: dtolnay/rust-toolchain@4360b52568e2003a75bf9bc1d59f33a8e3fc893c
+        with:
+          toolchain: 1.88.0
+
+      - name: Download versioned native source
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
+        with:
+          name: native-source-${{ needs.prepare.outputs.version }}
+          path: build/python-release/native-source
+
+      - name: Download model fixture
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
+        with:
+          name: native-model-fixture-${{ needs.prepare.outputs.version }}
+          path: build/python-release/models
+
+      - name: Build platform wheel
+        uses: PyO3/maturin-action@e83996d129638aa358a18fbd1dfb82f0b0fb5d3b # v1
+        with:
+          command: build
+          target: ${{ matrix.target }}
+          manylinux: ${{ matrix.manylinux }}
+          container: ${{ matrix.container }}
+          maturin-version: v1.14.1
+          rust-toolchain: 1.88.0
+          working-directory: build/python-release/native-source
+          args: --release --locked --out ../wheel
+
+      - name: Smoke-test wheel with standard models
+        shell: bash
+        run: |
+          set -euo pipefail
+          python -m pip install --no-index \
+            --find-links build/python-release/wheel \
+            --find-links build/python-release/models radixor
+          python -c "from radixor import Stemmer; assert Stemmer('en').stem('running') == 'run'"
+
+      - name: Upload platform wheel
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
+        with:
+          name: native-wheel-${{ matrix.artifact }}-${{ needs.prepare.outputs.version }}
+          path: build/python-release/wheel/*.whl
+          if-no-files-found: error
+          retention-days: 14
+
+  assemble:
+    name: Assemble verified release
+    needs: [prepare, build-linux-x86-64, build-platform-wheels]
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Check out repository
+        if: ${{ env.ACT != 'true' }}
+        uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262 # v4
+        with:
+          fetch-depth: 0
+          persist-credentials: false
+
+      - name: Set up Python
+        uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
+        with:
+          python-version: '3.12.10'
+
+      - name: Download native artifacts only
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
+        with:
+          pattern: native-wheel-*
+          path: build/python-release/artifacts
+          merge-multiple: true
+
+      - name: Download native sdist
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
+        with:
+          name: native-sdist-${{ needs.prepare.outputs.version }}
+          path: build/python-release/artifacts
+
+      - name: Enforce release allowlist and checksums
+        run: >-
+          python python/scripts/assemble_release.py native
+          '${{ needs.prepare.outputs.version }}'
+          build/python-release/artifacts build/python-release/release
+
+      - name: Prepare complete PEP 503 index candidate
+        shell: bash
+        run: |
+          set -euo pipefail
+          index_root='build/python-release/index/python/simple'
+          if git ls-remote --exit-code --heads origin gh-pages >/dev/null 2>&1; then
+            git fetch origin gh-pages:refs/remotes/origin/gh-pages
+            git worktree add --detach build/python-release/pages origin/gh-pages
+            mkdir -p "$(dirname "${index_root}")"
+            if [[ -d build/python-release/pages/python/simple ]]; then
+              cp -R build/python-release/pages/python/simple "${index_root}"
+            fi
+          fi
+          python python/scripts/update_simple_index.py \
+            --root "${index_root}" \
+            --repository "${GITHUB_REPOSITORY}" \
+            --package radixor \
+            --version '${{ needs.prepare.outputs.version }}' \
+            --tag '${{ needs.prepare.outputs.tag }}' \
+            --artifacts build/python-release/release
+
+      - name: Upload verified release candidate
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
+        with:
+          name: python-native-release-${{ needs.prepare.outputs.version }}
+          path: build/python-release/release/*
+          if-no-files-found: error
+          retention-days: 14
+
+      - name: Upload package-index candidate
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
+        with:
+          name: python-native-index-${{ needs.prepare.outputs.version }}
+          path: build/python-release/index/python/simple
+          if-no-files-found: error
+          retention-days: 14
+
+  publish:
+    name: Publish immutable GitHub Release
+    if: github.event_name == 'push'
+    needs: [prepare, assemble]
+    runs-on: ubuntu-latest
+    environment: python-github-release
+    permissions:
+      contents: write
+      id-token: write
+      attestations: write
+
+    steps:
+      - name: Download verified release candidate
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
+        with:
+          name: python-native-release-${{ needs.prepare.outputs.version }}
+          path: release
+
+      - name: Verify release inventory
+        shell: bash
+        run: |
+          set -euo pipefail
+          cd release
+          sha256sum --check SHA256SUMS
+          awk '{print $2}' SHA256SUMS | LC_ALL=C sort > expected-files
+          find . -maxdepth 1 -type f \( -name '*.whl' -o -name '*.tar.gz' \) \
+            -printf '%f\n' | LC_ALL=C sort > actual-files
+          diff -u expected-files actual-files
+          rm expected-files actual-files
+
+      - name: Require published standard models
+        shell: bash
+        env:
+          GH_TOKEN: ${{ github.token }}
+        run: |
+          set -euo pipefail
+          [[ "$(gh release view 'python-models-standard@1.0.0' \
+            --repo "${GITHUB_REPOSITORY}" --json isDraft --jq '.isDraft')" == 'false' ]]
+
+      - name: Attest package artifacts
+        uses: actions/attest-build-provenance@e8998f949152b193b063cb0ec769d69d929409be # v2
+        with:
+          subject-path: |
+            release/*.whl
+            release/*.tar.gz
+
+      - name: Create and publish draft release exactly once
+        shell: bash
+        env:
+          GH_TOKEN: ${{ github.token }}
+          RELEASE_TAG: ${{ needs.prepare.outputs.tag }}
+          RELEASE_VERSION: ${{ needs.prepare.outputs.version }}
+        run: |
+          set -euo pipefail
+          if gh release view "${RELEASE_TAG}" \
+            --repo "${GITHUB_REPOSITORY}" >/dev/null 2>&1; then
+            echo "Release already exists; refusing to replace its assets: ${RELEASE_TAG}" >&2
+            exit 1
+          fi
+          gh release create "${RELEASE_TAG}" \
+            release/*.whl release/*.tar.gz release/SHA256SUMS \
+            --repo "${GITHUB_REPOSITORY}" \
+            --verify-tag --draft --title "radixor ${RELEASE_VERSION}" \
+            --notes "Native Rust/Python Radixor distribution ${RELEASE_VERSION}."
+          gh release edit "${RELEASE_TAG}" \
+            --repo "${GITHUB_REPOSITORY}" --draft=false
+
+  publish-index:
+    name: Publish Python package index
+    if: github.event_name == 'push'
+    needs: [prepare, assemble, publish]
+    runs-on: ubuntu-latest
+    environment: python-github-pages
+    permissions:
+      contents: write
+
+    steps:
+      - name: Check out gh-pages only
+        uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262 # v4
+        with:
+          ref: gh-pages
+          path: pages
+
+      - name: Download validated index candidate
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4
+        with:
+          name: python-native-index-${{ needs.prepare.outputs.version }}
+          path: candidate
+
+      - name: Commit package index
+        shell: bash
+        run: |
+          set -euo pipefail
+          mkdir -p pages/python/simple
+          rsync -a --delete candidate/ pages/python/simple/
+          cd pages
+          git config user.name 'github-actions[bot]'
+          git config user.email '41898282+github-actions[bot]@users.noreply.github.com'
+          git add python/simple
+          git diff --cached --quiet && exit 0
+          git commit -m 'Index radixor ${{ needs.prepare.outputs.version }}'
+          git push origin HEAD:gh-pages

.gitignore

@@ -88,6 +88,9 @@ local.properties
 # Typically, this file would be tracked if it contains build/dependency configurations:
 #.project
 
+# Eclipse and Buildship create project descriptors during import.
+**/.project
+
 # PMD plugin conf
 .pmd
 
@@ -109,3 +112,21 @@ gradle-app.setting
 
 # Gradle task-name cache
 .gradletasknamecache
+
+##---------------------------------------------------------------------------------------- Python tooling
+__pycache__/
+*.py[cod]
+.pytest_cache/
+.ruff_cache/
+.mypy_cache/
+.coverage
+.coverage.*
+htmlcov/
+
+# Workspace-local Rust/Python build and test scratch directories.
+/.cargo-target/
+/pytest-of-*/
+
+# tempfile.NamedTemporaryFile-style dictionary scratch files must not survive
+# as repository candidates when a process is interrupted.
+/tmp*.gz

.project

@@ -1,22 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<projectDescription>
-	<name>Radixor</name>
-	<comment></comment>
-	<projects/>
-	<natures>
-		<nature>org.eclipse.jdt.core.javanature</nature>
-		<nature>org.eclipse.buildship.core.gradleprojectnature</nature>
-	</natures>
-	<buildSpec>
-		<buildCommand>
-			<name>org.eclipse.jdt.core.javabuilder</name>
-			<arguments/>
-		</buildCommand>
-		<buildCommand>
-			<name>org.eclipse.buildship.core.gradleprojectbuilder</name>
-			<arguments/>
-		</buildCommand>
-	</buildSpec>
-	<linkedResources/>
-	<filteredResources/>
-</projectDescription>

README.md

@@ -1,16 +1,19 @@
-<img src="docs/assets/images/banner.jpg" width="100%" alt="Radixor banner" />
+<p align="center">
+  <img src="docs/assets/images/radixor-logo.png" width="160" alt="Radixor logo" />
+</p>
 
 [![License](https://img.shields.io/github/license/leogalambos/Radixor)](LICENSE)
 [![Java](https://img.shields.io/badge/Java-21%2B-brightgreen)](#)
+[![Python](https://img.shields.io/badge/Python-3.9%2B-1769ef)](docs/python/fast-track.md)
 [![Maven Central](https://img.shields.io/maven-central/v/org.egothor/radixor)](https://central.sonatype.com/artifact/org.egothor/radixor)
 [![Published reports](https://img.shields.io/badge/reports-GitHub%20Pages-blue)](https://leogalambos.github.io/Radixor/builds/latest/)
 [![Quality gates](https://github.com/leogalambos/Radixor/actions/workflows/build.yml/badge.svg?branch=main)](https://github.com/leogalambos/Radixor/actions/workflows/build.yml)
 [![Coverage](https://img.shields.io/endpoint?url=https://leogalambos.github.io/Radixor/builds/latest/metrics/coverage-badge.json)](https://leogalambos.github.io/Radixor/builds/latest/coverage/)
 [![Mutation score](https://img.shields.io/endpoint?url=https://leogalambos.github.io/Radixor/builds/latest/metrics/pitest-badge.json)](https://leogalambos.github.io/Radixor/builds/latest/pitest/)
 
-*Deterministic, multi-language stemming for Java, built around compact dictionary-derived patch-command tries with an explicit quality/speed trade-off.*
+*Deterministic, multi-language stemming for Java and Python, built around compact dictionary-trained patch-command tries with an explicit quality/speed trade-off.*
 
-**Radixor** is a modern multi-language stemming toolkit for Java in the tradition of the original **Egothor** approach. It learns compact word-to-stem transformations from dictionary data, stores them in compiled patch-command tries, and exposes a runtime model designed for speed, determinism, and operational simplicity. Unlike a closed-form dictionary lookup stemmer, Radixor can also generalize beyond explicitly listed word forms.
+**Radixor** is a modern multi-language stemming toolkit for Java and Python in the tradition of the original **Egothor** approach. It learns compact word-to-stem transformations from dictionary data, stores them in compiled patch-command tries, and exposes native runtime implementations designed for speed, determinism, and operational simplicity. Unlike a closed-form dictionary lookup stemmer, Radixor can also generalize beyond explicitly listed word forms.
 
 It is particularly well suited to systems that need stemming which is:
 
@@ -22,7 +25,35 @@ It is particularly well suited to systems that need stemming which is:
 
 It also retains the operational advantages of a compiled artifact model: predictable runtime behavior, direct binary loading, and clear separation between preparation-time compilation and live request processing.
 
-## Add Radixor and a model
+## Choose a runtime
+
+For Python, one installation provides the native runtime and the separate
+standard package of 20 precompiled models:
+
+From PyPI, once publication is enabled:
+
+```bash
+python -m pip install --only-binary=:all: radixor
+```
+
+Or from the GitHub Releases-backed index:
+
+```bash
+python -m pip install --only-binary=:all: \
+  --index-url https://leogalambos.github.io/Radixor/python/simple/ radixor
+```
+
+```python
+from radixor import Stemmer
+
+english = Stemmer("en")
+print(english.stemWord("running"))  # run
+```
+
+Continue with the [Python Fast Track](docs/python/fast-track.md) or
+[Python Quick Start](docs/python/quick-start.md).
+
+### Java dependencies
 
 The core artifact contains the algorithm and registry, but no language dictionary. Add either one minimal model or the optional standard default pack:
 
@@ -87,16 +118,16 @@ Radixor performance is best read together with stemming quality. The English dic
 
 | Used rows | Actual row ratio | All exact | Changed exact | Root preserved | Speed ms/op | Error ms | ns/token |
 | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
-| 100% | 100.000% | 97.478% | 97.197% | 97.552% | 23.113 | 7.065 | 109.8 |
-| 90% | 90.000% | 97.047% | 94.913% | 97.613% | 21.270 | 9.914 | 101.0 |
-| 80% | 80.000% | 96.635% | 92.768% | 97.661% | 19.170 | 6.609 | 91.1 |
-| 70% | 70.000% | 96.209% | 90.565% | 97.705% | 20.857 | 6.734 | 99.1 |
-| 60% | 60.000% | 95.750% | 88.384% | 97.703% | 14.975 | 1.215 | 71.1 |
-| 50% | 50.000% | 95.262% | 86.107% | 97.690% | 15.249 | 1.078 | 72.4 |
-| 40% | 40.000% | 94.753% | 83.855% | 97.643% | 15.323 | 2.340 | 72.8 |
-| 30% | 30.000% | 94.208% | 81.651% | 97.537% | 16.778 | 2.643 | 79.7 |
-| 20% | 20.000% | 93.633% | 79.366% | 97.416% | 18.929 | 3.241 | 89.9 |
-| 10% | 10.000% | 92.868% | 76.516% | 97.204% | 19.124 | 1.883 | 90.9 |
+| 100% | 100.000% | 97.478% | 97.197% | 97.552% | 15.064 | 0.658 | 71.6 |
+| 90% | 90.000% | 97.047% | 94.913% | 97.613% | 17.798 | 2.161 | 84.6 |
+| 80% | 80.000% | 96.635% | 92.768% | 97.661% | 13.900 | 0.941 | 66.0 |
+| 70% | 70.000% | 96.209% | 90.565% | 97.705% | 14.809 | 1.376 | 70.3 |
+| 60% | 60.000% | 95.750% | 88.384% | 97.703% | 13.186 | 0.930 | 62.6 |
+| 50% | 50.000% | 95.262% | 86.107% | 97.690% | 12.852 | 0.943 | 61.1 |
+| 40% | 40.000% | 94.753% | 83.855% | 97.643% | 12.358 | 0.831 | 58.7 |
+| 30% | 30.000% | 94.208% | 81.651% | 97.537% | 11.657 | 0.921 | 55.4 |
+| 20% | 20.000% | 93.633% | 79.366% | 97.416% | 11.494 | 1.256 | 54.6 |
+| 10% | 10.000% | 92.868% | 76.516% | 97.204% | 9.895 | 0.925 | 47.0 |
 
 Column meanings:
 
@@ -109,7 +140,7 @@ Column meanings:
 - `Error ms` is the JMH score error converted to milliseconds.
 - `ns/token` is average nanoseconds per changed token in that operation.
 
-The contracted trie result is materially stronger than the older uncontracted profile: full English coverage reaches 97.478% all-token exactness and 97.197% changed-token exactness at 109.8 ns/token, while even a 10% deterministic dictionary slice remains at 92.868% all-token exactness and 76.516% changed-token exactness at 90.9 ns/token. This is why Radixor benchmark results are documented with both speed and quality instead of a single Porter speed badge.
+The contracted trie result is materially stronger than the older uncontracted profile: full English coverage reaches 97.478% all-token exactness and 97.197% changed-token exactness at 71.6 ns/token, while even a 10% deterministic dictionary slice remains at 92.868% all-token exactness and 76.516% changed-token exactness at 47.0 ns/token. This is why Radixor benchmark results are documented with both speed and quality instead of a single Porter speed badge.
 
 For benchmark scope, workload design, environment, commands, report locations, and interpretation guidance, see [Benchmarking](docs/benchmarking.md).
 
@@ -182,13 +213,22 @@ The repository keeps the front page concise and places detailed documentation un
 
 ### Getting Started
 
-- [Fast Track](docs/fast-track.md)  
-  The shortest path from adding core plus a model artifact to getting a first stem.
+- [Python Fast Track](docs/python/fast-track.md)
+  The shortest path from `pip install` to the first native Python stem.
 
-- [Quick Start](docs/quick-start.md)  
-  A broader developer walkthrough covering loading options, querying, extension, persistence, and metadata.
+- [Java Fast Track](docs/fast-track.md)
+  The shortest Java path from adding core plus a model artifact to getting a first stem.
 
-- [Integration Deep Dive](docs/integration-deep-dive.md)  
+- [Python Quick Start](docs/python/quick-start.md)
+  Installation, standard models, batch use, PyStemmer migration, and deployment guidance.
+
+- [Java Quick Start](docs/quick-start.md)
+  A broader Java walkthrough covering loading options, querying, extension, persistence, and metadata.
+
+- [Python Overview](docs/python/index.md)
+  Runtime architecture, model packaging, API capabilities, and Java interoperability.
+
+- [Java Integration Deep Dive](docs/integration-deep-dive.md)
   Dependency setup, model selection, production lifecycle, search-pipeline guidance, and operational checklist.
 
 - [Built-in Languages](docs/built-in-languages.md)  
@@ -197,10 +237,29 @@ The repository keeps the front page concise and places detailed documentation un
 - [Dictionary Format](docs/dictionary-format.md)  
   How to write and normalize stemming dictionaries.
 
-- [Compilation (CLI tool)](docs/cli-compilation.md)  
-  How to compile dictionaries into deployable binary artifacts.
+- [Java CLI Compilation](docs/cli-compilation.md)
+  How to compile dictionaries into deployable binary artifacts from Java.
 
-### Programmatic Usage
+### Python
+
+The Python installation installs the native package together with the pure
+`radixor-models-standard` 1.x distribution of the 2026.1 catalog: 20 precompiled v7 models, excluding
+the optional PoliMorf model. Python runtime distributions contain no textual
+dictionaries.
+
+- [Installation and Builds](docs/python/installation.md)
+  Wheels, source builds, Gradle tasks, host builds, and cross-compilation requirements.
+
+- [Usage and API](docs/python/usage.md)
+  Single and batch stemming, caching, custom dictionaries, and compiled models.
+
+- [Dictionary Compilation](docs/python/model-compilation.md)
+  Compile a textual dictionary once, load it directly, or share its version 7 binary with Java.
+
+- [Python Benchmarks](docs/python/performance.md)
+  Batch methodology and comparisons with available Python stemmers.
+
+### Java Programmatic Usage
 
 - [Programmatic Usage Overview](docs/programmatic-usage.md)  
   Entry point to the Java API and the overall usage model.

build-logic/src/main/groovy/org/egothor/radixor/PrepareModelCatalogBundleInputTask.groovy

@@ -0,0 +1,113 @@
+package org.egothor.radixor
+
+import org.gradle.api.DefaultTask
+import org.gradle.api.GradleException
+import org.gradle.api.file.DirectoryProperty
+import org.gradle.api.provider.Property
+import org.gradle.api.tasks.Input
+import org.gradle.api.tasks.InputDirectory
+import org.gradle.api.tasks.OutputDirectory
+import org.gradle.api.tasks.PathSensitive
+import org.gradle.api.tasks.PathSensitivity
+import org.gradle.api.tasks.TaskAction
+
+import java.nio.file.Files
+import java.nio.file.Path
+import java.nio.file.StandardCopyOption
+import java.security.MessageDigest
+import java.util.stream.Stream
+
+/** Prepares the two POM-only catalog publications for a Maven Central bundle. */
+abstract class PrepareModelCatalogBundleInputTask extends DefaultTask {
+    @InputDirectory
+    @PathSensitive(PathSensitivity.RELATIVE)
+    abstract DirectoryProperty getRawRepositoryDirectory()
+
+    @OutputDirectory
+    abstract DirectoryProperty getPreparedBundleDirectory()
+
+    @Input
+    abstract Property<String> getCatalogVersion()
+
+    /** Copies permitted publication files and creates Central's required legacy checksums. */
+    @TaskAction
+    void prepare() {
+        prepareBundle(rawRepositoryDirectory.get().asFile.toPath(),
+                preparedBundleDirectory.get().asFile.toPath(), catalogVersion.get())
+    }
+
+    static void prepareBundle(final Path rawRepository, final Path preparedDirectory,
+            final String version) {
+        if (!Files.isDirectory(rawRepository)) {
+            throw new GradleException("The raw model catalog staging repository does not exist: ${rawRepository}.")
+        }
+        deleteTree(preparedDirectory)
+        Files.createDirectories(preparedDirectory)
+
+        final Set<String> expectedPoms = [
+                "org/egothor/radixor-models-standard/${version}/radixor-models-standard-${version}.pom",
+                "org/egothor/radixor-models-bom/${version}/radixor-models-bom-${version}.pom"
+        ] as Set<String>
+        final List<Path> copied = []
+        Files.walk(rawRepository).withCloseable { Stream<Path> paths ->
+            paths.filter(Files::isRegularFile).sorted().forEach { Path source ->
+                final String relative = rawRepository.relativize(source).toString().replace(File.separatorChar, '/' as char)
+                if (isExcludedPublicationMetadata(relative)) return
+                if (relative.endsWith('.jar') || relative.endsWith('/stemmer.gz')
+                        || relative.contains('benchmark-pack')) {
+                    throw new GradleException("Unsupported model catalog publication file: ${relative}.")
+                }
+                final String pom = expectedPoms.find { String candidate ->
+                    relative == candidate || relative.startsWith(candidate + '.')
+                }
+                if (pom == null) {
+                    throw new GradleException("Unexpected file in the raw model catalog repository: ${relative}.")
+                }
+                if (relative == pom || relative == pom + '.asc') {
+                    final Path target = preparedDirectory.resolve(relative)
+                    Files.createDirectories(target.parent)
+                    Files.copy(source, target, StandardCopyOption.REPLACE_EXISTING)
+                    copied.add(target)
+                } else if (!(relative ==~ /.*\.pom(?:\.asc)?\.(?:md5|sha1|sha256|sha512)/)) {
+                    throw new GradleException("Unsupported model catalog publication file: ${relative}.")
+                }
+            }
+        }
+
+        final List<Path> poms = copied.findAll { Path path -> path.fileName.toString().endsWith('.pom') }
+        if (copied.isEmpty()) {
+            throw new GradleException('No model catalog publication files were copied from the raw staging repository.')
+        }
+        if (poms.size() != 2 || !expectedPoms.every { String expected -> Files.isRegularFile(preparedDirectory.resolve(expected)) }) {
+            throw new GradleException("The prepared model catalog must contain exactly the standard and BOM POMs; found ${poms.size()} POM files.")
+        }
+        copied.each { Path artifact ->
+            writeDigest(artifact, 'MD5', artifact.resolveSibling(artifact.fileName.toString() + '.md5'))
+            writeDigest(artifact, 'SHA-1', artifact.resolveSibling(artifact.fileName.toString() + '.sha1'))
+        }
+    }
+
+    private static boolean isExcludedPublicationMetadata(final String relative) {
+        final String name = relative.substring(relative.lastIndexOf('/') + 1)
+        return name ==~ /maven-metadata.*\.xml(?:\..*)?/ || relative ==~ /.*\.module(?:\..*)?/
+    }
+
+    private static void writeDigest(final Path source, final String algorithm, final Path target) {
+        final MessageDigest digest = MessageDigest.getInstance(algorithm)
+        Files.newInputStream(source).withCloseable { InputStream input ->
+            final byte[] buffer = new byte[16 * 1024]
+            int count
+            while ((count = input.read(buffer)) >= 0) {
+                if (count > 0) digest.update(buffer, 0, count)
+            }
+        }
+        Files.writeString(target, digest.digest().encodeHex().toString(), java.nio.charset.StandardCharsets.US_ASCII)
+    }
+
+    private static void deleteTree(final Path directory) {
+        if (!Files.exists(directory)) return
+        Files.walk(directory).withCloseable { Stream<Path> paths ->
+            paths.sorted(Comparator.reverseOrder()).forEach(Files::delete)
+        }
+    }
+}

build-logic/src/main/groovy/org/egothor/radixor/RadixorBuildSupportPlugin.groovy

@@ -12,5 +12,13 @@ final class RadixorBuildSupportPlugin implements Plugin<Project> {
             group = 'verification'
             description = 'Creates an isolated local Maven repository for model dependency-resolution integration tests.'
         }
+        project.tasks.register('prepareModelCatalogReleaseCandidate', PrepareModelCatalogBundleInputTask) {
+            group = 'publishing'
+            description = 'Prepares the isolated POM-only model catalog input for Maven Central.'
+        }
+        project.tasks.register('verifyModelCatalogReleaseCandidate', VerifyModelCatalogReleaseCandidateTask) {
+            group = 'verification'
+            description = 'Verifies catalog bundle contents, checksums, coordinates, and dependency semantics.'
+        }
     }
 }

build-logic/src/main/groovy/org/egothor/radixor/VerifyModelCatalogReleaseCandidateTask.groovy

@@ -0,0 +1,194 @@
+package org.egothor.radixor
+
+import org.gradle.api.DefaultTask
+import org.gradle.api.GradleException
+import org.gradle.api.file.RegularFileProperty
+import org.gradle.api.provider.ListProperty
+import org.gradle.api.provider.Property
+import org.gradle.api.tasks.Input
+import org.gradle.api.tasks.InputFile
+import org.gradle.api.tasks.OutputFile
+import org.gradle.api.tasks.PathSensitive
+import org.gradle.api.tasks.PathSensitivity
+import org.gradle.api.tasks.TaskAction
+import org.w3c.dom.Element
+
+import javax.xml.XMLConstants
+import javax.xml.parsers.DocumentBuilderFactory
+import java.nio.charset.StandardCharsets
+import java.nio.file.Files
+import java.security.MessageDigest
+import java.util.zip.ZipEntry
+import java.util.zip.ZipFile
+
+/** Verifies the contents and Maven semantics of the model catalog Central bundle. */
+abstract class VerifyModelCatalogReleaseCandidateTask extends DefaultTask {
+    @InputFile
+    @PathSensitive(PathSensitivity.RELATIVE)
+    abstract RegularFileProperty getBundleFile()
+
+    @OutputFile
+    abstract RegularFileProperty getReportFile()
+
+    @Input abstract Property<String> getCatalogVersion()
+    @Input abstract Property<String> getModelVersion()
+    @Input abstract ListProperty<String> getDefaultModelIds()
+    @Input abstract ListProperty<String> getAllModelIds()
+
+    /** Performs byte-level archive and semantic POM validation. */
+    @TaskAction
+    void verify() {
+        final List<String> entries = verifyBundle(bundleFile.get().asFile, catalogVersion.get(),
+                modelVersion.get(), defaultModelIds.get(), allModelIds.get())
+        final File report = reportFile.get().asFile
+        Files.createDirectories(report.toPath().parent)
+        Files.writeString(report.toPath(), "Bundle: ${bundleFile.get().asFile.name}\nBytes: ${bundleFile.get().asFile.length()}\n"
+                + entries.join('\n') + '\n', StandardCharsets.UTF_8)
+    }
+
+    static List<String> verifyBundle(final File bundle, final String catalogVersion,
+            final String modelVersion, final List<String> defaultIds, final List<String> allIds) {
+        if (!bundle.isFile() || bundle.length() == 0L) {
+            throw new GradleException("The model catalog Central bundle is missing or empty: ${bundle}.")
+        }
+        final Map<String, byte[]> content = new TreeMap<>()
+        new ZipFile(bundle).withCloseable { ZipFile archive ->
+            archive.entries().each { ZipEntry entry ->
+                if (!entry.directory) {
+                    archive.getInputStream(entry).withCloseable { InputStream input ->
+                        content.put(entry.name, input.readAllBytes())
+                    }
+                }
+            }
+        }
+        final List<String> entries = content.keySet().toList()
+        final List<String> poms = entries.findAll { String entry -> entry.endsWith('.pom') }
+        final List<String> unsupported = entries.findAll { String entry ->
+            !(entry ==~ 'org/egothor/radixor-models-(?:standard|bom)/[^/]+/'
+                    + 'radixor-models-(?:standard|bom)-[^/]+\\.pom(?:\\.asc)?(?:\\.(?:md5|sha1))?')
+        }
+        if (!unsupported.isEmpty()) {
+            throw new GradleException("The model catalog bundle contains unsupported files: ${unsupported}.")
+        }
+        if (poms.size() != 2) {
+            throw new GradleException("The model catalog bundle must contain exactly two POM files; found ${poms.size()}.")
+        }
+        if (entries.any { String entry -> entry.endsWith('.jar') || entry.endsWith('/stemmer.gz')
+                || entry.endsWith('.module') || entry.contains('maven-metadata') || entry.contains('benchmark-pack') }) {
+            throw new GradleException('The model catalog bundle contains forbidden publication content.')
+        }
+        poms.each { String pom -> verifyChecksums(content, pom) }
+        entries.findAll { String entry -> entry.endsWith('.pom.asc') }.each { String signature ->
+            verifyChecksums(content, signature)
+        }
+
+        final String standardPath = expectedPomPath('standard', catalogVersion)
+        final String bomPath = expectedPomPath('bom', catalogVersion)
+        if (!content.containsKey(standardPath) || !content.containsKey(bomPath)) {
+            throw new GradleException('The bundle does not contain the expected standard and BOM coordinates.')
+        }
+        final Element standard = parsePom(content.get(standardPath))
+        final Element bom = parsePom(content.get(bomPath))
+        verifyCoordinates(standard, 'radixor-models-standard', catalogVersion)
+        verifyCoordinates(bom, 'radixor-models-bom', catalogVersion)
+
+        final Map<String, String> standardDependencies = dependencies(standard, false)
+        final Map<String, String> bomConstraints = dependencies(bom, true)
+        final Set<String> expectedDefaults = defaultIds.collect { String id -> "org.egothor:radixor-model-${id}" } as Set<String>
+        final Set<String> expectedAll = allIds.collect { String id -> "org.egothor:radixor-model-${id}" } as Set<String>
+        if (standardDependencies.keySet() != expectedDefaults
+                || standardDependencies.values().any { String version -> version != modelVersion }
+                || standardDependencies.containsKey('org.egothor:radixor-model-pl-pl-polimorf')
+                || dependencyScopes(standard).any { String scope -> scope != 'runtime' }) {
+            throw new GradleException('The standard catalog POM must reference exactly the 20 default model artifacts at the model version.')
+        }
+        if (!dependencies(bom, false).isEmpty()) {
+            throw new GradleException('The model BOM must not introduce runtime dependencies.')
+        }
+        if (bomConstraints.keySet() != expectedAll
+                || bomConstraints.values().any { String version -> version != modelVersion }) {
+            throw new GradleException('The model BOM must manage exactly all 21 model artifacts at the model version.')
+        }
+        return entries
+    }
+
+    private static String expectedPomPath(final String kind, final String version) {
+        return "org/egothor/radixor-models-${kind}/${version}/radixor-models-${kind}-${version}.pom"
+    }
+
+    private static void verifyChecksums(final Map<String, byte[]> content, final String artifact) {
+        ['MD5': 'md5', 'SHA-1': 'sha1'].each { String algorithm, String extension ->
+            final String checksum = artifact + '.' + extension
+            if (!content.containsKey(checksum)) {
+                throw new GradleException("The catalog artifact is missing its ${algorithm} checksum: ${artifact}.")
+            }
+            final String expected = MessageDigest.getInstance(algorithm).digest(content.get(artifact)).encodeHex().toString()
+            final String actual = new String(content.get(checksum), StandardCharsets.US_ASCII).trim()
+            if (actual != expected) {
+                throw new GradleException("The ${algorithm} checksum does not match ${artifact}.")
+            }
+        }
+    }
+
+    private static Element parsePom(final byte[] xml) {
+        final DocumentBuilderFactory factory = DocumentBuilderFactory.newInstance()
+        factory.setNamespaceAware(true)
+        factory.setFeature('http://apache.org/xml/features/disallow-doctype-decl', true)
+        factory.setFeature('http://xml.org/sax/features/external-general-entities', false)
+        factory.setFeature('http://xml.org/sax/features/external-parameter-entities', false)
+        factory.setAttribute(XMLConstants.ACCESS_EXTERNAL_DTD, '')
+        factory.setAttribute(XMLConstants.ACCESS_EXTERNAL_SCHEMA, '')
+        return factory.newDocumentBuilder().parse(new ByteArrayInputStream(xml)).documentElement
+    }
+
+    private static void verifyCoordinates(final Element project, final String artifactId, final String version) {
+        if (directText(project, 'groupId') != 'org.egothor'
+                || directText(project, 'artifactId') != artifactId
+                || directText(project, 'version') != version) {
+            throw new GradleException("Unexpected Maven coordinates for ${artifactId}.")
+        }
+    }
+
+    private static Map<String, String> dependencies(final Element project, final boolean managed) {
+        final Map<String, String> result = new TreeMap<>()
+        final Element parent = managed ? directChild(project, 'dependencyManagement') : project
+        final Element container = parent == null ? null : directChild(parent, 'dependencies')
+        if (container == null) return result
+        childElements(container, 'dependency').each { Element dependency ->
+            final String coordinate = directText(dependency, 'groupId') + ':' + directText(dependency, 'artifactId')
+            if (result.put(coordinate, directText(dependency, 'version')) != null) {
+                throw new GradleException("The catalog POM contains duplicate dependency ${coordinate}.")
+            }
+        }
+        return result
+    }
+
+    private static List<String> dependencyScopes(final Element project) {
+        final Element container = directChild(project, 'dependencies')
+        if (container == null) return []
+        return childElements(container, 'dependency').collect { Element dependency -> directText(dependency, 'scope') }
+    }
+
+    private static String directText(final Element parent, final String name) {
+        final Element child = directChild(parent, name)
+        return child == null ? null : child.textContent.trim()
+    }
+
+    private static Element directChild(final Element parent, final String name) {
+        if (parent == null) return null
+        for (int index = 0; index < parent.childNodes.length; index++) {
+            if (parent.childNodes.item(index) instanceof Element
+                    && parent.childNodes.item(index).localName == name) return (Element) parent.childNodes.item(index)
+        }
+        return null
+    }
+
+    private static List<Element> childElements(final Element parent, final String name) {
+        final List<Element> result = []
+        for (int index = 0; index < parent.childNodes.length; index++) {
+            if (parent.childNodes.item(index) instanceof Element
+                    && parent.childNodes.item(index).localName == name) result.add((Element) parent.childNodes.item(index))
+        }
+        return result
+    }
+}

build-logic/src/test/groovy/org/egothor/radixor/ModelCatalogBundleTaskTest.groovy

@@ -0,0 +1,259 @@
+package org.egothor.radixor
+
+import org.gradle.api.GradleException
+import org.gradle.testkit.runner.GradleRunner
+import org.junit.jupiter.api.Test
+import org.junit.jupiter.api.io.TempDir
+
+import java.nio.charset.StandardCharsets
+import java.nio.file.Files
+import java.nio.file.Path
+import java.security.MessageDigest
+import java.util.zip.ZipEntry
+import java.util.zip.ZipOutputStream
+
+import static org.junit.jupiter.api.Assertions.assertArrayEquals
+import static org.junit.jupiter.api.Assertions.assertEquals
+import static org.junit.jupiter.api.Assertions.assertFalse
+import static org.junit.jupiter.api.Assertions.assertThrows
+import static org.junit.jupiter.api.Assertions.assertTrue
+
+/** Exercises catalog publication filtering, isolation, checksums, and semantic verification. */
+final class ModelCatalogBundleTaskTest {
+    private static final String CATALOG_VERSION = '2026.1'
+    private static final String MODEL_VERSION = '1.0.0'
+    private static final List<String> DEFAULTS = ['alpha', 'beta']
+    private static final List<String> ALL = ['alpha', 'beta', 'pl-pl-polimorf']
+
+    @TempDir Path temporaryDirectory
+
+    /** Prepares exactly two unsigned POMs and their checksums without changing raw bytes. */
+    @Test
+    void preparesUnsignedPublicationsWithoutMutatingRawInput() {
+        final Path raw = fixture(false)
+        final byte[] before = Files.readAllBytes(standardPom(raw))
+        final Path prepared = temporaryDirectory.resolve('prepared')
+        PrepareModelCatalogBundleInputTask.prepareBundle(raw, prepared, CATALOG_VERSION)
+        assertArrayEquals(before, Files.readAllBytes(standardPom(raw)))
+        assertEquals(6L, regularFiles(prepared))
+        assertTrue(Files.isRegularFile(prepared.resolve(relativeStandardPom() + '.md5')))
+        assertTrue(Files.isRegularFile(prepared.resolve(relativeBomPom() + '.sha1')))
+    }
+
+    /** Copies test-only signatures and generates checksums for both signatures. */
+    @Test
+    void preparesSignedPublications() {
+        final Path prepared = temporaryDirectory.resolve('prepared')
+        PrepareModelCatalogBundleInputTask.prepareBundle(fixture(true), prepared, CATALOG_VERSION)
+        assertEquals(12L, regularFiles(prepared))
+        assertTrue(Files.isRegularFile(prepared.resolve(relativeStandardPom() + '.asc.md5')))
+        assertTrue(Files.isRegularFile(prepared.resolve(relativeBomPom() + '.asc.sha1')))
+    }
+
+    /** Deletes stale prepared content before copying current publication files. */
+    @Test
+    void removesStalePreparedContent() {
+        final Path prepared = temporaryDirectory.resolve('prepared')
+        Files.createDirectories(prepared)
+        Files.writeString(prepared.resolve('stale.jar'), 'stale')
+        PrepareModelCatalogBundleInputTask.prepareBundle(fixture(false), prepared, CATALOG_VERSION)
+        assertFalse(Files.exists(prepared.resolve('stale.jar')))
+    }
+
+    /** Excludes Gradle module metadata, its sidecars, and Maven metadata. */
+    @Test
+    void excludesModuleAndMavenMetadata() {
+        final Path raw = fixture(false)
+        final Path module = standardPom(raw).resolveSibling("radixor-models-standard-${CATALOG_VERSION}.module")
+        Files.writeString(module, 'module')
+        Files.writeString(module.resolveSibling(module.fileName.toString() + '.asc'), 'signature')
+        Files.writeString(module.resolveSibling(module.fileName.toString() + '.sha1'), 'checksum')
+        Files.writeString(module.parent.resolve('maven-metadata-local.xml'), 'metadata')
+        final Path prepared = temporaryDirectory.resolve('prepared')
+        PrepareModelCatalogBundleInputTask.prepareBundle(raw, prepared, CATALOG_VERSION)
+        assertEquals(6L, regularFiles(prepared))
+    }
+
+    /** Rejects a missing standard publication. */
+    @Test
+    void rejectsMissingStandardPom() {
+        final Path raw = fixture(false)
+        Files.delete(standardPom(raw))
+        assertThrows(GradleException) {
+            PrepareModelCatalogBundleInputTask.prepareBundle(raw, temporaryDirectory.resolve('prepared'), CATALOG_VERSION)
+        }
+    }
+
+    /** Rejects a missing BOM publication. */
+    @Test
+    void rejectsMissingBomPom() {
+        final Path raw = fixture(false)
+        Files.delete(bomPom(raw))
+        assertThrows(GradleException) {
+            PrepareModelCatalogBundleInputTask.prepareBundle(raw, temporaryDirectory.resolve('prepared'), CATALOG_VERSION)
+        }
+    }
+
+    /** Rejects unexpected binary publication content. */
+    @Test
+    void rejectsUnexpectedJar() {
+        final Path raw = fixture(false)
+        Files.writeString(standardPom(raw).resolveSibling('unexpected.jar'), 'binary')
+        assertThrows(GradleException) {
+            PrepareModelCatalogBundleInputTask.prepareBundle(raw, temporaryDirectory.resolve('prepared'), CATALOG_VERSION)
+        }
+    }
+
+    /** Rejects dictionary content in the catalog staging repository. */
+    @Test
+    void rejectsDictionaryContent() {
+        final Path raw = fixture(false)
+        final Path dictionary = raw.resolve('unrelated/stemmer.gz')
+        Files.createDirectories(dictionary.parent)
+        Files.writeString(dictionary, 'dictionary')
+        assertThrows(GradleException) {
+            PrepareModelCatalogBundleInputTask.prepareBundle(raw, temporaryDirectory.resolve('prepared'), CATALOG_VERSION)
+        }
+    }
+
+    /** Produces and semantically verifies a nonempty ZIP from prepared files. */
+    @Test
+    void verifiesRealPreparedArchive() {
+        final Path prepared = temporaryDirectory.resolve('prepared')
+        PrepareModelCatalogBundleInputTask.prepareBundle(fixture(false), prepared, CATALOG_VERSION)
+        final File archive = zip(prepared, temporaryDirectory.resolve('catalog.zip'))
+        final List<String> entries = VerifyModelCatalogReleaseCandidateTask.verifyBundle(
+                archive, CATALOG_VERSION, MODEL_VERSION, DEFAULTS, ALL)
+        assertEquals(6, entries.size())
+    }
+
+    /** Rejects an archived checksum that does not match its POM. */
+    @Test
+    void rejectsIncorrectArchivedChecksum() {
+        final Path prepared = temporaryDirectory.resolve('prepared')
+        PrepareModelCatalogBundleInputTask.prepareBundle(fixture(false), prepared, CATALOG_VERSION)
+        Files.writeString(prepared.resolve(relativeStandardPom() + '.sha1'), 'incorrect')
+        final File archive = zip(prepared, temporaryDirectory.resolve('catalog.zip'))
+        assertThrows(GradleException) {
+            VerifyModelCatalogReleaseCandidateTask.verifyBundle(
+                    archive, CATALOG_VERSION, MODEL_VERSION, DEFAULTS, ALL)
+        }
+    }
+
+    /** Repeated preparation replaces restored or stale output deterministically. */
+    @Test
+    void repeatedPreparationRecreatesValidInput() {
+        final Path raw = fixture(false)
+        final Path prepared = temporaryDirectory.resolve('prepared')
+        PrepareModelCatalogBundleInputTask.prepareBundle(raw, prepared, CATALOG_VERSION)
+        final String first = treeDigest(prepared)
+        Files.writeString(prepared.resolve('restored-history-stale.txt'), 'stale')
+        PrepareModelCatalogBundleInputTask.prepareBundle(raw, prepared, CATALOG_VERSION)
+        assertEquals(first, treeDigest(prepared))
+    }
+
+    /** Creates a real Gradle ZIP, rebuilds a missing output, and reuses Configuration Cache. */
+    @Test
+    void gradleZipRebuildsWithConfigurationCacheReuse() {
+        final Path project = temporaryDirectory.resolve('testkit-project')
+        Files.createDirectories(project)
+        Files.writeString(project.resolve('settings.gradle'), "rootProject.name = 'catalog-fixture'\n")
+        Files.writeString(project.resolve('build.gradle'), '''plugins {
+    id 'org.egothor.radixor.build-support'
+}
+tasks.named('prepareModelCatalogReleaseCandidate') {
+    rawRepositoryDirectory = layout.projectDirectory.dir('raw')
+    preparedBundleDirectory = layout.buildDirectory.dir('prepared')
+    catalogVersion = '2026.1'
+}
+tasks.register('bundle', Zip) {
+    dependsOn(tasks.named('prepareModelCatalogReleaseCandidate'))
+    from(layout.buildDirectory.dir('prepared'))
+    destinationDirectory = layout.buildDirectory.dir('candidate')
+    archiveFileName = 'catalog.zip'
+}
+''')
+        final Path raw = project.resolve('raw')
+        write(standardPom(raw), pom('radixor-models-standard', false))
+        write(bomPom(raw), pom('radixor-models-bom', true))
+
+        final List<String> arguments = ['bundle', '--configuration-cache',
+                '--configuration-cache-problems=fail', '--warning-mode=fail']
+        final String first = GradleRunner.create().withProjectDir(project.toFile())
+                .withPluginClasspath().withArguments(arguments).build().output
+        final Path archive = project.resolve('build/candidate/catalog.zip')
+        assertTrue(Files.size(archive) > 0L)
+        Files.delete(archive)
+        final String second = GradleRunner.create().withProjectDir(project.toFile())
+                .withPluginClasspath().withArguments(arguments).build().output
+        assertTrue(Files.size(archive) > 0L)
+        assertTrue(first.contains('Configuration cache entry stored.'))
+        assertTrue(second.contains('Configuration cache entry reused.'))
+    }
+
+    private Path fixture(final boolean signed) {
+        final Path raw = temporaryDirectory.resolve('raw')
+        write(standardPom(raw), pom('radixor-models-standard', false))
+        write(bomPom(raw), pom('radixor-models-bom', true))
+        if (signed) {
+            Files.writeString(standardPom(raw).resolveSibling(standardPom(raw).fileName.toString() + '.asc'), 'test signature')
+            Files.writeString(bomPom(raw).resolveSibling(bomPom(raw).fileName.toString() + '.asc'), 'test signature')
+        }
+        return raw
+    }
+
+    private static String pom(final String artifact, final boolean managed) {
+        final List<String> ids = managed ? ALL : DEFAULTS
+        final String dependencies = ids.collect { String id ->
+            "<dependency><groupId>org.egothor</groupId><artifactId>radixor-model-${id}</artifactId>" +
+                    "<version>${MODEL_VERSION}</version>${managed ? '' : '<scope>runtime</scope>'}</dependency>"
+        }.join()
+        final String body = managed ? "<dependencyManagement><dependencies>${dependencies}</dependencies></dependencyManagement>"
+                : "<dependencies>${dependencies}</dependencies>"
+        return "<?xml version=\"1.0\"?><project xmlns=\"http://maven.apache.org/POM/4.0.0\">" +
+                "<modelVersion>4.0.0</modelVersion><groupId>org.egothor</groupId>" +
+                "<artifactId>${artifact}</artifactId><version>${CATALOG_VERSION}</version>${body}</project>"
+    }
+
+    private static Path standardPom(final Path raw) { raw.resolve(relativeStandardPom()) }
+    private static Path bomPom(final Path raw) { raw.resolve(relativeBomPom()) }
+    private static String relativeStandardPom() {
+        "org/egothor/radixor-models-standard/${CATALOG_VERSION}/radixor-models-standard-${CATALOG_VERSION}.pom"
+    }
+    private static String relativeBomPom() {
+        "org/egothor/radixor-models-bom/${CATALOG_VERSION}/radixor-models-bom-${CATALOG_VERSION}.pom"
+    }
+
+    private static void write(final Path path, final String value) {
+        Files.createDirectories(path.parent)
+        Files.writeString(path, value, StandardCharsets.UTF_8)
+    }
+
+    private static long regularFiles(final Path root) {
+        Files.walk(root).withCloseable { paths -> paths.filter(Files::isRegularFile).count() }
+    }
+
+    private static File zip(final Path root, final Path target) {
+        new ZipOutputStream(Files.newOutputStream(target)).withCloseable { ZipOutputStream output ->
+            Files.walk(root).withCloseable { paths ->
+                paths.filter(Files::isRegularFile).sorted().forEach { Path file ->
+                    output.putNextEntry(new ZipEntry(root.relativize(file).toString().replace(File.separatorChar, '/' as char)))
+                    Files.copy(file, output)
+                    output.closeEntry()
+                }
+            }
+        }
+        return target.toFile()
+    }
+
+    private static String treeDigest(final Path root) {
+        final MessageDigest digest = MessageDigest.getInstance('SHA-256')
+        Files.walk(root).withCloseable { paths ->
+            paths.filter(Files::isRegularFile).sorted().forEach { Path path ->
+                digest.update(root.relativize(path).toString().getBytes(StandardCharsets.UTF_8))
+                digest.update(Files.readAllBytes(path))
+            }
+        }
+        return digest.digest().encodeHex().toString()
+    }
+}

build.gradle

@@ -603,12 +603,13 @@ tasks.named('prepareModelConsumerTestRepository') {
     repositoryDirectory = layout.buildDirectory.dir('model-consumer-repository')
 }
 
-def cleanModelCatalogStaging = tasks.register('cleanModelCatalogStaging') {
+def rawModelCatalogRepository = layout.buildDirectory.dir('model-catalog-staging-repository')
+def preparedModelCatalogBundleInput = layout.buildDirectory.dir('model-catalog-bundle-input')
+
+def cleanModelCatalogStaging = tasks.register('cleanModelCatalogStaging', Delete) {
     group = 'publishing'
     description = 'Cleans the isolated model catalog Maven staging repository.'
-    doLast {
-        project.delete(layout.buildDirectory.dir('model-catalog-staging-repository'))
-    }
+    delete(rawModelCatalogRepository)
 }
 
 gradle.projectsEvaluated {
@@ -620,40 +621,28 @@ gradle.projectsEvaluated {
     }
 }
 
-tasks.register('prepareModelCatalogReleaseCandidate') {
-    group = 'publishing'
-    description = 'Stages the POM-only standard aggregate and model BOM with Central checksums.'
+def prepareModelCatalogReleaseCandidate = tasks.named('prepareModelCatalogReleaseCandidate') {
     dependsOn(project(':models:standard').tasks.named('check'))
     dependsOn(project(':models:bom').tasks.named('check'))
     dependsOn(':models:standard:publishStandardPublicationToCatalogStagingRepository')
     dependsOn(':models:bom:publishBomPublicationToCatalogStagingRepository')
-    outputs.dir(layout.buildDirectory.dir('model-catalog-staging-repository'))
-    doLast {
-        File repository = layout.buildDirectory.dir('model-catalog-staging-repository').get().asFile
-        repository.eachFileRecurse { File artifact ->
-            if (artifact.isFile() && !['.md5', '.sha1', '.sha256', '.sha512'].any {
-                String extension -> artifact.name.endsWith(extension)
-            }) {
-                ['MD5': 'md5', 'SHA-1': 'sha1'].each { String algorithm, String extension ->
-                    String digest = java.security.MessageDigest.getInstance(algorithm)
-                            .digest(artifact.bytes).encodeHex().toString()
-                    new File(artifact.absolutePath + ".${extension}").setText(digest, 'US-ASCII')
-                }
-            }
-        }
-    }
+    rawRepositoryDirectory = rawModelCatalogRepository
+    preparedBundleDirectory = preparedModelCatalogBundleInput
+    catalogVersion = project(':models:standard').version.toString()
 }
 
-tasks.register('modelCatalogCentralBundle', Zip) {
+def modelCatalogCentralBundle = tasks.register('modelCatalogCentralBundle', Zip) {
     group = 'publishing'
     description = 'Builds the local POM-only model catalog bundle without remote publication.'
-    dependsOn(tasks.named('prepareModelCatalogReleaseCandidate'))
-    from(layout.buildDirectory.dir('model-catalog-staging-repository')) {
-        exclude('**/maven-metadata*.xml*', '**/*.module*')
-    }
+    dependsOn(prepareModelCatalogReleaseCandidate)
+    from(preparedModelCatalogBundleInput)
     destinationDirectory = layout.buildDirectory.dir('model-catalog-release-candidate')
     archiveFileName = "radixor-models-catalog-${project(':models:standard').version}-central-bundle.zip"
     doFirst {
+        File preparedInput = preparedModelCatalogBundleInput.get().asFile
+        if (!preparedInput.isDirectory() || preparedInput.listFiles() == null || preparedInput.listFiles().length == 0) {
+            throw new GradleException("The prepared model catalog bundle input is missing or empty: ${preparedInput}.")
+        }
         if (providers.environmentVariable('GITHUB_REF_TYPE').orNull == 'tag'
                 && (providers.environmentVariable('SIGNING_KEY').orNull?.isBlank() != false
                 || providers.environmentVariable('SIGNING_PASSWORD').orNull?.isBlank() != false)) {
@@ -662,45 +651,20 @@ tasks.register('modelCatalogCentralBundle', Zip) {
     }
 }
 
-tasks.register('verifyModelCatalogReleaseCandidate') {
-    group = 'verification'
-    description = 'Verifies that the local catalog bundle contains only two POM publications, signatures when configured, and checksums.'
-    dependsOn(tasks.named('modelCatalogCentralBundle'))
-    outputs.file(layout.buildDirectory.file('reports/models/catalog-release-candidate.txt'))
-    doLast {
-        File bundle = tasks.named('modelCatalogCentralBundle', Zip).get().archiveFile.get().asFile
-        List<String> entries = []
-        new java.util.zip.ZipFile(bundle).withCloseable { java.util.zip.ZipFile archive ->
-            archive.entries().each { java.util.zip.ZipEntry entry ->
-                if (!entry.directory) entries.add(entry.name)
-            }
-        }
-        entries.sort()
-        List<String> poms = entries.findAll { String entry -> entry.endsWith('.pom') }
-        if (poms.size() != 2 || entries.any { String entry ->
-            entry.endsWith('.jar') || entry.endsWith('/stemmer.gz') || entry.contains('benchmark-pack')
-        }) {
-            throw new GradleException('The model catalog bundle must contain only the standard and BOM POM publications.')
-        }
-        List<String> unsupported = entries.findAll { String entry ->
-            !(entry.endsWith('.pom') || entry.endsWith('.pom.md5') || entry.endsWith('.pom.sha1')
-                    || entry.endsWith('.pom.sha256') || entry.endsWith('.pom.sha512')
-                    || entry.endsWith('.pom.asc') || entry.endsWith('.pom.asc.md5')
-                    || entry.endsWith('.pom.asc.sha1') || entry.endsWith('.pom.asc.sha256')
-                    || entry.endsWith('.pom.asc.sha512'))
-        }
-        if (!unsupported.isEmpty()) {
-            throw new GradleException("The model catalog bundle contains unsupported files: ${unsupported}.")
-        }
-        poms.each { String pom ->
-            if (!entries.contains(pom + '.md5') || !entries.contains(pom + '.sha1')) {
-                throw new GradleException("The model catalog POM is missing Central checksums: ${pom}.")
-            }
-        }
-        File report = layout.buildDirectory.file('reports/models/catalog-release-candidate.txt').get().asFile
-        report.parentFile.mkdirs()
-        report.setText("Bundle: ${bundle.name}\nBytes: ${bundle.length()}\n" + entries.join('\n') + '\n', 'UTF-8')
-    }
+def publishedModelVersions = modelProjects().collect { Project modelProject ->
+    modelProject.file('model-version.txt').getText('UTF-8').trim()
+}.toSet()
+if (publishedModelVersions.size() != 1) {
+    throw new GradleException("The catalog verifier requires one common model version; found ${publishedModelVersions}.")
+}
+
+tasks.named('verifyModelCatalogReleaseCandidate') {
+    bundleFile = modelCatalogCentralBundle.flatMap { Zip archive -> archive.archiveFile }
+    reportFile = layout.buildDirectory.file('reports/models/catalog-release-candidate.txt')
+    catalogVersion = project(':models:standard').version.toString()
+    modelVersion = publishedModelVersions.first()
+    defaultModelIds = defaultModelProjects().collect { Project modelProject -> modelProject.name }
+    allModelIds = modelProjects().collect { Project modelProject -> modelProject.name }
 }
 
 tasks.register('verifyArtifactSizes') {
@@ -751,9 +715,18 @@ def modelCatalogText = providers.provider {
     return output.toString()
 }
 
+def modelCatalogDocumentationInputs = files(modelProjects().collectMany { Project modelProject ->
+    [
+            modelProject.file('build.gradle'),
+            modelProject.file('model-version.txt'),
+            modelProject.file('src/modelInput/stemmer.gz')
+    ]
+})
+
 tasks.register('generateModelCatalogDocumentation') {
     group = 'documentation'
     description = 'Generates the deterministic model catalog in the build documentation staging tree.'
+    inputs.files(modelCatalogDocumentationInputs)
     outputs.file(layout.buildDirectory.file('mkdocs-source/stemmer-model-catalog.md'))
     doLast {
         File catalog = layout.buildDirectory.file('mkdocs-source/stemmer-model-catalog.md').get().asFile
@@ -762,10 +735,24 @@ tasks.register('generateModelCatalogDocumentation') {
     }
 }
 
+tasks.register('publishModelCatalogDocumentation') {
+    group = 'documentation'
+    description = 'Updates the checked-in model catalog used by a direct local MkDocs invocation.'
+    dependsOn(tasks.named('generateModelCatalogDocumentation'))
+    inputs.file(layout.buildDirectory.file('mkdocs-source/stemmer-model-catalog.md'))
+    outputs.file(layout.projectDirectory.file('docs/stemmer-model-catalog.md'))
+    doLast {
+        File generated = layout.buildDirectory.file('mkdocs-source/stemmer-model-catalog.md').get().asFile
+        File published = layout.projectDirectory.file('docs/stemmer-model-catalog.md').asFile
+        published.setText(generated.getText('UTF-8'), 'UTF-8')
+    }
+}
+
 tasks.register('prepareMkDocsSource', Sync) {
     group = 'documentation'
     description = 'Stages maintained documentation, generated catalog, and MkDocs configuration under build/.'
     dependsOn(modelProjects().collect { Project modelProject -> modelProject.path + ':verifyModelDescriptor' })
+    inputs.files(modelCatalogDocumentationInputs)
     into(layout.buildDirectory.dir('mkdocs-source'))
     from(layout.projectDirectory.dir('docs'))
     doLast {
@@ -775,14 +762,16 @@ tasks.register('prepareMkDocsSource', Sync) {
         buildsPage.setText('# Historical Builds\n\nThe Pages publication workflow replaces this staging placeholder with the retained build index.\n', 'UTF-8')
         File configuration = layout.buildDirectory.file('mkdocs/mkdocs.yml').get().asFile
         configuration.parentFile.mkdirs()
-        configuration.setText(layout.projectDirectory.file('mkdocs.yml').asFile.getText('UTF-8')
+        String configurationText = layout.projectDirectory.file('mkdocs.yml').asFile.getText('UTF-8')
+                .replace('custom_dir: docs/overrides', 'custom_dir: ../mkdocs-source/overrides')
+        configuration.setText(configurationText
                 + '\ndocs_dir: ../mkdocs-source\nsite_dir: ../mkdocs-site\n', 'UTF-8')
     }
 }
 
 tasks.register('verifyModelCatalogDocumentation') {
     group = 'verification'
-    description = 'Validates model metadata and the generated build-directory MkDocs catalog.'
+    description = 'Validates model metadata and both the checked-in and staged MkDocs catalogs.'
     dependsOn(tasks.named('prepareMkDocsSource'))
     dependsOn(tasks.named('verifyAllDefaultModels'))
     doLast {
@@ -791,6 +780,11 @@ tasks.register('verifyModelCatalogDocumentation') {
         if (!catalog.isFile() || catalog.getText('UTF-8') != expected) {
             throw new GradleException('The staged model catalog is missing or nondeterministic.')
         }
+        File publishedCatalog = layout.projectDirectory.file('docs/stemmer-model-catalog.md').asFile
+        if (!publishedCatalog.isFile() || publishedCatalog.getText('UTF-8') != expected) {
+            throw new GradleException(
+                    'The checked-in model catalog is stale; run ./gradlew publishModelCatalogDocumentation.')
+        }
         List<String> identifiers = modelProjects().collect { Project modelProject -> modelProject.name }
         if (identifiers != identifiers.sort()) {
             throw new GradleException('Published model projects are not in deterministic model-ID order.')
@@ -990,6 +984,31 @@ tasks.register('stemmingQuality', JavaExec) {
     maxHeapSize = '6g'
 }
 
+tasks.register('benchmarkCorpusReport', JavaExec) {
+    group = 'verification'
+    description = 'Reports corpus and preferred patch-command counts for every default model.'
+    dependsOn(tasks.named('jmhClasses'))
+    classpath = files(sourceSets.jmh.runtimeClasspath, configurations.stemmingQualityJmhRuntime)
+    mainClass = 'org.egothor.stemmer.benchmark.BenchmarkCorpusReportApplication'
+    args layout.buildDirectory.file('reports/jmh/benchmark-corpora.csv').get().asFile.absolutePath
+    maxHeapSize = '6g'
+}
+
+tasks.register('writeJmhRuntimeClasspath') {
+    group = 'verification'
+    description = 'Writes the complete modular JMH runtime classpath for isolated direct JMH execution.'
+    dependsOn(tasks.named('jmhJar'))
+    dependsOn(modelProjects().collect { Project modelProject -> modelProject.tasks.named('jar') })
+    outputs.file(layout.buildDirectory.file('reports/jmh/jmh-runtime-classpath.txt'))
+    doLast {
+        File report = layout.buildDirectory.file('reports/jmh/jmh-runtime-classpath.txt').get().asFile
+        report.parentFile.mkdirs()
+        File executable = tasks.named('jmhJar', Jar).get().archiveFile.get().asFile
+        report.setText(executable.absolutePath + File.pathSeparator
+                + sourceSets.jmh.runtimeClasspath.asPath + System.lineSeparator(), 'UTF-8')
+    }
+}
+
 tasks.register('prepareBenchmarkModelInputs', Sync) {
     group = 'verification'
     description = 'Prepares default model inputs for JMH and quality evaluation without changing source data.'
@@ -1116,6 +1135,7 @@ apply from: 'gradle/paicehusk-benchmarks.gradle'
 apply from: 'gradle/opennlp-benchmarks.gradle'
 apply from: 'gradle/hunspell-benchmarks.gradle'
 apply from: 'gradle/cistem-benchmarks.gradle'
+apply from: 'gradle/python.gradle'
 
 gradle.taskGraph.whenReady { taskGraph ->
     def banner = """

docs/architecture-and-reduction.md

@@ -13,11 +13,29 @@ Radixor does not keep a large flat table of final stems. Instead, it converts di
 
 The build-time flow is:
 
-```text
-Dictionary -> Mutable trie -> Reduced trie -> Compiled trie
+```mermaid
+flowchart TD
+    dictionary[Training dictionary]
+    mutable[Mutable trie]
+    reduced[Reduced trie]
+    compiled[Compiled trie]
+
+    dictionary --> mutable --> reduced --> compiled
 ```
 
-For registered models, the dictionary is an independently versioned GZip resource discovered through a descriptor and verified before this flow begins. The model resource is input to trie construction, not a precompiled trie. See [Model Selection and Loading](model-selection-and-loading.md) for discovery and [Architecture](architecture.md) for component and release boundaries.
+Both implementations follow this conceptual flow. Java materializes its
+object-based compiled trie and exposes multiple reduction modes; the Python
+extension implements the production dominant-result profile in Rust and stores
+the runtime trie in flat arrays. Their persisted interoperability boundary is
+the version 7 binary stream, not their in-memory representation.
+
+For registered Java models, the dictionary is an independently versioned GZip
+resource discovered through a descriptor and verified before this flow begins.
+For Python's standard models, this flow runs during package preparation and the
+installed `radixor-models-standard` distribution already contains validated
+compiled version 7 tries. See [Model Selection and Loading](model-selection-and-loading.md)
+for Java discovery and [Architecture](architecture.md) for component and release
+boundaries.
 
 Explicit descriptors and stable model IDs now use the same compiled-value path as language defaults. `loadCompiled(descriptor, ...)` and `loadCompiled(modelId, ...)` first build with serialized patch commands and then map those values to `CompiledPatchCommand` while preserving metadata, reduction semantics, and ranked `getAll` order. Very large inputs can have a high temporary construction peak; PoliMorf is verified in an isolated 6 GiB JVM rather than increasing ordinary test or Gradle daemon heaps.
 

docs/architecture.md

@@ -2,7 +2,7 @@
 
 This document explains the structural architecture of **Radixor**: what data is stored, how it flows through the build pipeline, and how runtime lookup works once a compiled trie has been produced.
 
-## Component boundaries
+## Java component boundaries
 
 | Component | Responsibility |
 |---|---|
@@ -19,6 +19,23 @@ This document explains the structural architecture of **Radixor**: what data is
 
 Read [Model Selection and Loading](model-selection-and-loading.md) for executable application examples and [Stemmer Models](stemmer-models.md) for artifact maintenance.
 
+## Python component boundaries
+
+The Python distribution is a separate native implementation rather than a JVM
+wrapper. The `radixor` wheel contains the Rust/PyO3 runtime but no language
+data. Its mandatory `radixor-models-standard` dependency supplies 20 validated,
+precompiled, GZip-compressed version 7 `.rxc` tries. It does not use Java model
+JARs, `ServiceLoader`, descriptors, or the Java registry.
+
+`Stemmer("<alias>")` resolves and synchronously loads a compiled standard model;
+it does not parse a textual dictionary at application startup.
+`radixor.compile(...)` remains available for application-owned textual
+dictionaries, and `Stemmer(compiled=...)` loads the resulting version 7
+artifact. The Java and Python in-memory layouts are intentionally different;
+the shared dictionary syntax and version 7 binary stream are their
+interoperability boundaries. See [Radixor for Python](python/index.md) and
+[Compiling Dictionaries in Python](python/model-compilation.md).
+
 ## Runtime model discovery and loading
 
 The implemented sequence is:
@@ -100,8 +117,14 @@ That matters because many words share similar transformation patterns. Once thos
 
 The full build-time flow is:
 
-```text
-Dictionary -> Mutable trie -> Reduced trie -> Compiled trie
+```mermaid
+flowchart TD
+    dictionary[Training dictionary]
+    mutable[Mutable trie]
+    reduced[Reduced trie]
+    compiled[Compiled trie]
+
+    dictionary --> mutable --> reduced --> compiled
 ```
 
 Each stage has a different purpose.

docs/assets/data/homepage-performance.json

@@ -0,0 +1,50 @@
+{
+  "source": "Python all-language batch benchmark, 2026-08-08",
+  "environment": {
+    "processor": "AMD Ryzen 5 5625U with Radeon Graphics",
+    "platform": "Linux-7.1.6-201.fc44.x86_64-x86_64-with-glibc2.43",
+    "python": "CPython 3.14.6",
+    "cpu_governor": "schedutil"
+  },
+  "batch_size": 100,
+  "direct_pystemmer_comparisons": 18,
+  "direct_pystemmer_wins": 18,
+  "geometric_mean_speedup_vs_pystemmer": 1.665046904842523,
+  "maximum_speedup_vs_pystemmer": {
+    "language": "it",
+    "speedup": 3.027396185495421
+  },
+  "radixor_throughput_mwords_per_second": {
+    "minimum": {
+      "language": "ru",
+      "value": 3.6574304356731138
+    },
+    "maximum": {
+      "language": "pt",
+      "value": 5.99085795076713
+    }
+  },
+  "languages": {
+    "cs": {"radixor_ns_per_word": 224.3, "radixor_mwords_per_second": 4.46, "pystemmer_ns_per_word": 236.6, "speedup_vs_pystemmer": 1.05},
+    "da": {"radixor_ns_per_word": 178.3, "radixor_mwords_per_second": 5.61, "pystemmer_ns_per_word": 267.6, "speedup_vs_pystemmer": 1.50},
+    "de": {"radixor_ns_per_word": 230.9, "radixor_mwords_per_second": 4.33, "pystemmer_ns_per_word": 635.5, "speedup_vs_pystemmer": 2.75},
+    "en": {"radixor_ns_per_word": 180.5, "radixor_mwords_per_second": 5.54, "pystemmer_ns_per_word": 331.9, "speedup_vs_pystemmer": 1.84},
+    "es": {"radixor_ns_per_word": 184.2, "radixor_mwords_per_second": 5.43, "pystemmer_ns_per_word": 316.6, "speedup_vs_pystemmer": 1.72},
+    "fa": {"radixor_ns_per_word": 210.1, "radixor_mwords_per_second": 4.76, "pystemmer_ns_per_word": 497.1, "speedup_vs_pystemmer": 2.37},
+    "fi": {"radixor_ns_per_word": 227.8, "radixor_mwords_per_second": 4.39, "pystemmer_ns_per_word": 258.8, "speedup_vs_pystemmer": 1.14},
+    "fr": {"radixor_ns_per_word": 234.2, "radixor_mwords_per_second": 4.27, "pystemmer_ns_per_word": 503.7, "speedup_vs_pystemmer": 2.15},
+    "he": {"radixor_ns_per_word": 228.6, "radixor_mwords_per_second": 4.37, "pystemmer_ns_per_word": null, "speedup_vs_pystemmer": null},
+    "hu": {"radixor_ns_per_word": 198.2, "radixor_mwords_per_second": 5.04, "pystemmer_ns_per_word": 264.7, "speedup_vs_pystemmer": 1.34},
+    "it": {"radixor_ns_per_word": 170.8, "radixor_mwords_per_second": 5.86, "pystemmer_ns_per_word": 517.0, "speedup_vs_pystemmer": 3.03},
+    "nb": {"radixor_ns_per_word": 187.1, "radixor_mwords_per_second": 5.34, "pystemmer_ns_per_word": 239.7, "speedup_vs_pystemmer": 1.28},
+    "nl": {"radixor_ns_per_word": 187.1, "radixor_mwords_per_second": 5.35, "pystemmer_ns_per_word": 354.8, "speedup_vs_pystemmer": 1.90},
+    "nn": {"radixor_ns_per_word": 168.7, "radixor_mwords_per_second": 5.93, "pystemmer_ns_per_word": 231.2, "speedup_vs_pystemmer": 1.37},
+    "pl": {"radixor_ns_per_word": 194.6, "radixor_mwords_per_second": 5.14, "pystemmer_ns_per_word": 214.5, "speedup_vs_pystemmer": 1.10},
+    "pt": {"radixor_ns_per_word": 166.9, "radixor_mwords_per_second": 5.99, "pystemmer_ns_per_word": 293.2, "speedup_vs_pystemmer": 1.76},
+    "ru": {"radixor_ns_per_word": 273.4, "radixor_mwords_per_second": 3.66, "pystemmer_ns_per_word": 414.4, "speedup_vs_pystemmer": 1.52},
+    "sv": {"radixor_ns_per_word": 189.3, "radixor_mwords_per_second": 5.28, "pystemmer_ns_per_word": 212.5, "speedup_vs_pystemmer": 1.12},
+    "uk": {"radixor_ns_per_word": 221.5, "radixor_mwords_per_second": 4.51, "pystemmer_ns_per_word": null, "speedup_vs_pystemmer": null},
+    "yi": {"radixor_ns_per_word": 227.5, "radixor_mwords_per_second": 4.39, "pystemmer_ns_per_word": 624.2, "speedup_vs_pystemmer": 2.74}
+  },
+  "pystemmer_missing_for_radixor_languages": ["he", "uk"]
+}

docs/assets/images/flags/cs.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="32" fill="#fff"/><rect y="32" width="64" height="32" fill="#d7141a"/><path d="M0 0 34 32 0 64Z" fill="#11457e"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/da.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="64" fill="#c8102e"/><rect x="19" width="8" height="64" fill="#fff"/><rect y="27" width="64" height="8" fill="#fff"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/de.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="22" fill="#111"/><rect y="22" width="64" height="21" fill="#dd0000"/><rect y="43" width="64" height="21" fill="#ffce00"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/en.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="64" fill="#234b9b"/><path d="M0 0 64 64M64 0 0 64" stroke="white" stroke-width="14"/><path d="M0 0 64 64M64 0 0 64" stroke="#d4253f" stroke-width="7"/><path d="M32 0v64M0 32h64" stroke="white" stroke-width="18"/><path d="M32 0v64M0 32h64" stroke="#d4253f" stroke-width="10"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/es.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="64" fill="#aa151b"/><rect y="16" width="64" height="32" fill="#f1bf00"/><circle cx="23" cy="32" r="4" fill="#aa151b"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/fa.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="22" fill="#239f40"/><rect y="22" width="64" height="20" fill="#fff"/><rect y="42" width="64" height="22" fill="#da0000"/><circle cx="32" cy="32" r="5" fill="none" stroke="#da0000" stroke-width="2"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/fi.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="64" fill="#fff"/><rect x="19" width="9" height="64" fill="#003580"/><rect y="27" width="64" height="9" fill="#003580"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/fr.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="22" height="64" fill="#0055a4"/><rect x="22" width="20" height="64" fill="#fff"/><rect x="42" width="22" height="64" fill="#ef4135"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/he.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="64" fill="#fff"/><rect y="13" width="64" height="6" fill="#0038b8"/><rect y="45" width="64" height="6" fill="#0038b8"/><path d="M32 22 39 35H25Zm0 20-7-13h14Z" fill="none" stroke="#0038b8" stroke-width="2.3"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/hu.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="22" fill="#ce2939"/><rect y="22" width="64" height="20" fill="#fff"/><rect y="42" width="64" height="22" fill="#477050"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/it.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="22" height="64" fill="#009246"/><rect x="22" width="20" height="64" fill="#fff"/><rect x="42" width="22" height="64" fill="#ce2b37"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/nb.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="64" fill="#ba0c2f"/><rect x="18" width="12" height="64" fill="#fff"/><rect y="25" width="64" height="12" fill="#fff"/><rect x="21" width="6" height="64" fill="#00205b"/><rect y="28" width="64" height="6" fill="#00205b"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/nl.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="22" fill="#ae1c28"/><rect y="22" width="64" height="20" fill="#fff"/><rect y="42" width="64" height="22" fill="#21468b"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/nn.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="64" fill="#ba0c2f"/><rect x="18" width="12" height="64" fill="#fff"/><rect y="25" width="64" height="12" fill="#fff"/><rect x="21" width="6" height="64" fill="#00205b"/><rect y="28" width="64" height="6" fill="#00205b"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/pl.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="32" fill="#fff"/><rect y="32" width="64" height="32" fill="#dc143c"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/pt.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="25" height="64" fill="#046a38"/><rect x="25" width="39" height="64" fill="#da291c"/><circle cx="25" cy="32" r="7" fill="#ffcd00"/><circle cx="25" cy="32" r="4" fill="#fff"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/ru.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="22" fill="#fff"/><rect y="22" width="64" height="20" fill="#0039a6"/><rect y="42" width="64" height="22" fill="#d52b1e"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/sv.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="64" fill="#006aa7"/><rect x="19" width="8" height="64" fill="#fecc00"/><rect y="27" width="64" height="8" fill="#fecc00"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/uk.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="32" fill="#0057b7"/><rect y="32" width="64" height="32" fill="#ffd700"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/flags/yi.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"><defs><clipPath id="c"><circle cx="32" cy="32" r="30"/></clipPath></defs><g clip-path="url(#c)"><rect width="64" height="64" fill="#fff"/><rect y="13" width="64" height="6" fill="#0038b8"/><rect y="45" width="64" height="6" fill="#0038b8"/><path d="M32 22 39 35H25Zm0 20-7-13h14Z" fill="none" stroke="#0038b8" stroke-width="2.3"/></g><circle cx="32" cy="32" r="30" fill="none" stroke="#d8e2ee" stroke-width="2"/></svg>

docs/assets/images/hero-lines.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 900 700" fill="none"><defs><linearGradient id="g" x1="0" y1="0" x2="1" y2="1"><stop stop-color="#6759ff" stop-opacity=".10"/><stop offset=".5" stop-color="#2d8cff" stop-opacity=".13"/><stop offset="1" stop-color="#12bfa7" stop-opacity=".10"/></linearGradient></defs><g stroke="url(#g)" stroke-width="1.25"><path d="M-40 585C150 328 262 493 408 255S665 12 927 50"/><path d="M-55 620C142 363 274 507 424 273S689 16 940 78"/><path d="M-65 652C151 403 289 526 447 301S704 34 958 112"/><path d="M-71 679C162 442 311 548 471 336S727 63 970 148"/><path d="M-74 704C186 481 338 574 500 371S748 94 985 190"/><path d="M244 8C400 46 516 22 622 93S780 236 940 227"/><path d="M270 -7C428 28 540 8 655 78S811 209 964 197"/></g><g fill="#0ea5e9" opacity=".18"><circle cx="408" cy="255" r="3.8"/><circle cx="500" cy="371" r="3.8"/><circle cx="655" cy="78" r="3.8"/><circle cx="811" cy="209" r="3.8"/></g></svg>

docs/assets/images/java-award.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 220 190" fill="none"><defs><linearGradient id="s" x1="35" y1="25" x2="173" y2="172"><stop stop-color="#8b78ff"/><stop offset=".55" stop-color="#5b49e9"/><stop offset="1" stop-color="#3158f5"/></linearGradient><filter id="f"><feDropShadow dx="0" dy="8" stdDeviation="8" flood-color="#4f46e5" flood-opacity=".18"/></filter></defs><g stroke="#7667f2" stroke-width="5" stroke-linecap="round" fill="none" opacity=".8"><path d="M49 143c-23-9-32-25-37-45M42 127c-12-3-21-11-26-21M171 143c23-9 32-25 37-45M178 127c12-3 21-11 26-21"/><path d="M51 144c-17 6-28 7-38 5M169 144c17 6 28 7 38 5"/></g><path filter="url(#f)" d="M110 18 168 42v52c0 41-25 66-58 82-33-16-58-41-58-82V42Z" fill="url(#s)" stroke="#b7afff" stroke-width="3"/><path d="M88 114h44M96 124h28" stroke="white" stroke-width="5" stroke-linecap="round"/><path d="M90 92c0 12 8 20 20 20s20-8 20-20v-6H90v6Z" fill="none" stroke="white" stroke-width="5"/><path d="M130 88h8c9 0 9 13 0 13h-9" stroke="white" stroke-width="5" stroke-linecap="round"/><path d="M102 79c-13-12 9-16-2-30M115 78c-10-11 8-15 0-27M126 79c-8-9 7-13 0-23" stroke="white" stroke-width="4" stroke-linecap="round"/></svg>

docs/assets/javascripts/landing-v2.js

@@ -0,0 +1 @@
+document.addEventListener("DOMContentLoaded",()=>{const b=document.querySelector(".rx2-menu"),n=document.querySelector(".rx2-nav");if(b&&n)b.addEventListener("click",()=>{const o=n.classList.toggle("open");b.setAttribute("aria-expanded",String(o));});document.querySelectorAll("[data-copy]").forEach(btn=>btn.addEventListener("click",async()=>{const el=document.getElementById(btn.dataset.copy);if(!el)return;try{await navigator.clipboard.writeText(el.innerText);const t=btn.textContent;btn.textContent="Copied";setTimeout(()=>btn.textContent=t,1200);}catch(e){}}));});

docs/assets/javascripts/mermaid.js

@@ -0,0 +1,14 @@
+const renderRadixorDiagrams = () => {
+  mermaid.initialize({
+    startOnLoad: false,
+    theme: "neutral",
+    flowchart: { htmlLabels: true, useMaxWidth: true },
+  });
+  return mermaid.run({ querySelector: ".mermaid" });
+};
+
+if (typeof document$ === "undefined") {
+  document.addEventListener("DOMContentLoaded", renderRadixorDiagrams);
+} else {
+  document$.subscribe(renderRadixorDiagrams);
+}

docs/assets/stylesheets/extra.css

@@ -67,64 +67,62 @@
   padding: 0.45rem 0.7rem;
 }
 
-/* Publication-quality benchmark tables retain identity columns while scrolling. */
-.quality-table {
-  max-width: 100%;
-  overflow-x: auto;
+/* Primary quality rankings fit the content column; raw counts remain in details. */
+.quality-summary {
+  width: 100%;
   margin: 0.65rem 0 1rem;
-  border: 1px solid var(--md-default-fg-color--lightest);
-  border-radius: 0.2rem;
-  scrollbar-gutter: stable;
+  font-size: 0.72rem;
 }
 
-.quality-table:focus {
-  outline: 0.15rem solid var(--md-accent-fg-color);
-  outline-offset: 0.1rem;
-}
-
-.quality-table::before {
-  content: "Scrollable table: Rank, Stemmer, and Output policy remain visible.";
+.quality-summary .md-typeset__table,
+.quality-summary table {
   display: block;
-  padding: 0.35rem 0.55rem;
-  color: var(--md-default-fg-color--light);
-  font-size: 0.68rem;
-}
-
-.quality-table .md-typeset__table,
-.quality-table table {
+  width: 100%;
   margin: 0;
+  overflow: visible;
 }
 
-.quality-table table th:nth-child(1),
-.quality-table table td:nth-child(1),
-.quality-table table th:nth-child(2),
-.quality-table table td:nth-child(2),
-.quality-table table th:nth-child(3),
-.quality-table table td:nth-child(3) {
-  position: sticky;
-  z-index: 2;
-  background: var(--md-default-bg-color);
-  background-clip: padding-box;
+.quality-summary table {
+  display: table;
+  table-layout: fixed;
 }
 
-.quality-table table th:nth-child(1),
-.quality-table table td:nth-child(1) {
-  left: 0;
-  min-width: 2.8rem;
+.quality-summary th,
+.quality-summary td {
+  padding: 0.4rem 0.45rem !important;
+  line-height: 1.3;
+  letter-spacing: 0;
 }
 
-.quality-table table th:nth-child(2),
-.quality-table table td:nth-child(2) {
-  left: 2.8rem;
-  min-width: 13rem;
-  white-space: normal;
+.quality-summary th:nth-child(1),
+.quality-summary td:nth-child(1) {
+  width: 7%;
 }
 
-.quality-table table th:nth-child(3),
-.quality-table table td:nth-child(3) {
-  left: 15.8rem;
-  min-width: 8.5rem;
-  box-shadow: 0.2rem 0 0.25rem rgb(0 0 0 / 8%);
+.quality-summary th:nth-child(2),
+.quality-summary td:nth-child(2) {
+  width: 39%;
+  overflow-wrap: anywhere;
+}
+
+.quality-summary th:nth-child(n + 3),
+.quality-summary td:nth-child(n + 3) {
+  width: 18%;
+}
+
+.quality-summary td:nth-child(n + 3) {
+  white-space: nowrap;
+}
+
+.quality-summary--oracle th:nth-child(1),
+.quality-summary--oracle td:nth-child(1) {
+  width: 46%;
+  overflow-wrap: anywhere;
+}
+
+.quality-summary--oracle th:nth-child(n + 2),
+.quality-summary--oracle td:nth-child(n + 2) {
+  width: 27%;
 }
 
 .quality-details > summary {
@@ -132,34 +130,17 @@
 }
 
 @media screen and (max-width: 44.99em) {
-  .quality-table table th:nth-child(2),
-  .quality-table table td:nth-child(2) {
-    min-width: 10rem;
+  .quality-summary {
+    font-size: 0.62rem;
   }
 
-  .quality-table table th:nth-child(3),
-  .quality-table table td:nth-child(3) {
-    position: static;
-    min-width: 7.5rem;
-    box-shadow: none;
+  .quality-summary th,
+  .quality-summary td {
+    padding: 0.3rem 0.2rem !important;
   }
 }
 
 @media print {
-  .quality-table {
-    overflow: visible;
-    border: 0;
-  }
-
-  .quality-table::before {
-    display: none;
-  }
-
-  .quality-table table th,
-  .quality-table table td {
-    position: static !important;
-  }
-
   .quality-details:not([open]) > *:not(summary) {
     display: block;
   }

docs/assets/stylesheets/radixor-docs-safety.css

@@ -0,0 +1,146 @@
+/*
+ * Radixor documentation safety constraints.
+ *
+ * The landing page uses custom page chrome while standard documentation pages
+ * use Material for MkDocs. These size constraints ensure that a documentation
+ * logo can never inherit unconstrained intrinsic dimensions. The remaining
+ * rules carry the landing page's light blue/teal visual language into the
+ * standard Material documentation shell.
+ */
+:root,
+[data-md-color-scheme="default"] {
+  --md-primary-fg-color: #ffffff;
+  --md-primary-fg-color--light: #ffffff;
+  --md-primary-fg-color--dark: #f7faff;
+  --md-primary-bg-color: #11182e;
+  --md-primary-bg-color--light: #4b5b74;
+  --md-accent-fg-color: #1769ef;
+  --md-accent-fg-color--transparent: rgba(23, 105, 239, 0.1);
+  --md-typeset-a-color: #0e62df;
+  --rx-doc-line: #dce6f2;
+  --rx-doc-soft: #f7faff;
+  --rx-doc-text: #172554;
+  --rx-doc-muted: #53627b;
+  --rx-doc-teal: #078d7a;
+  --rx-doc-purple: #6544ef;
+}
+
+.md-header {
+  color: var(--rx-doc-text);
+  background: rgba(255, 255, 255, 0.97);
+  border-bottom: 1px solid var(--rx-doc-line);
+  box-shadow: 0 5px 18px rgba(33, 64, 112, 0.06);
+  backdrop-filter: blur(8px);
+}
+
+.md-header__title,
+.md-header__button,
+.md-header__topic,
+.md-source {
+  color: var(--rx-doc-text);
+}
+
+.md-search__form {
+  background: #f3f7fc;
+  border: 1px solid #d8e4f0;
+}
+
+.md-search__input,
+.md-search__icon {
+  color: var(--rx-doc-text);
+}
+
+.md-search__input::placeholder {
+  color: #69778d;
+}
+
+.md-tabs {
+  color: var(--rx-doc-text);
+  background: #fbfdff;
+  border-bottom: 1px solid var(--rx-doc-line);
+}
+
+.md-nav__link--active,
+.md-nav__link:focus,
+.md-nav__link:hover {
+  color: #145ff5;
+}
+
+.md-nav__item--section > .md-nav__link {
+  color: #263653;
+}
+
+.md-typeset h1,
+.md-typeset h2,
+.md-typeset h3 {
+  color: #0b1537;
+}
+
+.md-typeset a:hover {
+  color: var(--rx-doc-purple);
+}
+
+.md-typeset code {
+  border-radius: 0.22rem;
+  background: #f3f7fc;
+}
+
+.md-typeset .admonition,
+.md-typeset details {
+  border-color: #8bb6f2;
+  box-shadow: 0 3px 12px rgba(33, 64, 112, 0.06);
+}
+
+.md-typeset table:not([class]) {
+  border-color: var(--rx-doc-line);
+  box-shadow: 0 2px 10px rgba(33, 64, 112, 0.04);
+}
+
+.md-footer {
+  --md-footer-fg-color: var(--rx-doc-text);
+  --md-footer-fg-color--light: #31516f;
+  --md-footer-fg-color--lighter: var(--rx-doc-muted);
+  --md-footer-bg-color: #fbfdff;
+  --md-footer-bg-color--dark: #f5f9fe;
+  color: var(--rx-doc-muted);
+  background: #fbfdff;
+  border-top: 1px solid var(--rx-doc-line);
+}
+
+.md-footer-meta {
+  color: var(--rx-doc-muted);
+  background: #f5f9fe;
+}
+
+.md-footer a,
+.md-footer-meta a {
+  color: #31516f;
+}
+
+.md-header__button.md-logo img,
+.md-header__button.md-logo svg,
+.md-nav__button.md-logo img,
+.md-nav__button.md-logo svg {
+  width: 1.6rem;
+  height: 1.6rem;
+  max-width: 1.6rem;
+  max-height: 1.6rem;
+  object-fit: cover;
+  border-radius: 0.38rem;
+  box-shadow: 0 2px 8px rgba(24, 82, 176, 0.18);
+}
+
+.md-typeset .mermaid {
+  width: 100%;
+  max-width: 100%;
+  overflow-x: auto;
+  text-align: center;
+}
+
+.md-typeset .mermaid svg {
+  display: block;
+  width: auto;
+  max-width: 100%;
+  height: auto;
+  margin-inline: auto;
+}

docs/benchmarking.md

@@ -1,10 +1,10 @@
 # Benchmarking
 
-Radixor contains internal trie microbenchmarks, a separate stemmer comparison suite, and a dictionary coverage benchmark for Radixor itself. Published stemmer comparison results must come only from benchmark classes matching `.*StemmerComparisonBenchmark.*`; internal `FrequencyTrie*` microbenchmarks are not part of those results.
+Radixor contains internal trie microbenchmarks, a separate stemmer comparison suite, and a dictionary coverage benchmark for Radixor itself. The current default-model publication uses the same-language speed and exact-root methods selected by the command recorded on the [environment page](benchmarks/reference/environment.md). Internal `FrequencyTrie*` microbenchmarks, the optional `PolishPolimorfStemmerComparisonBenchmark`, and the separate German CISTEM gold-standard experiment are not part of these language tables.
 
 Every current default Radixor benchmark scenario uses the model ID declared by its `Language.defaultModelId()`. The root JMH runtime configuration depends directly on all default model projects plus optional `pl-pl-polimorf`; no benchmark-pack project or artifact exists. These dependencies are benchmark-only and never enter the root published POM. A PoliMorf comparison must be labeled with model ID `pl-pl-polimorf`, while the default Polish row remains `pl-pl-unimorph`.
 
-The optional model now has a verified complete compiled loading path. This does not alter existing benchmark rows or make PoliMorf part of the representative English JMH run. Any future full PoliMorf benchmark must provision its documented startup heap independently and record the exact model artifact version and checksum.
+The optional model now has a verified complete compiled loading path. It is not included in the 2026-07-23 corpus, accuracy, speed, coverage, or stemming-quality measurements. Any future full PoliMorf benchmark must provision its documented startup heap independently and record the exact model artifact version and checksum.
 
 This page is the entry point for benchmark interpretation. Detailed tables and long reference material are split into focused subpages so that important points do not get buried.
 
@@ -14,7 +14,7 @@ This page is the entry point for benchmark interpretation. Detailed tables and l
 - Radixor is the quality-oriented baseline in same-language comparisons. Its exact-root accuracy is often close to 100%, while many faster competitors are light, minimal, possessive, or aggressive rule-based stemmers with much lower root agreement.
 - The measured Radixor cost buys dictionary-trained stemming precision. That precision improves search quality by mapping inflected forms to intended dictionary roots instead of approximate or over-reduced stems.
 - Speed benchmarks process changed dictionary tokens where the surface form differs from the expected root. Accuracy benchmarks process the complete dictionary.
-- Accuracy tables use deterministic auxiliary counters from the current JMH reports. Repeated measurement samples duplicate the same exact-root accounting and are not interpreted as timing results.
+- Accuracy tables use deterministic auxiliary counters from a single non-timed JMH evaluation, while Radixor counters are independently cross-checked by the default-model corpus report. Runtime scores from accuracy methods are not interpreted.
 - The historical Porter performance badge is retired. Benchmark reporting now uses speed and quality tables rather than a single Porter ratio.
 
 ## Benchmark Documentation Map
@@ -44,4 +44,4 @@ The [English dictionary coverage benchmark](benchmarks/reference/english-coverag
 The current measured language results are published in [Language Benchmark Pages](benchmarks/languages/index.md). Generated local report files for this benchmark update are listed in [Benchmark environment and reports](benchmarks/reference/environment.md).
 
 JMH TXT and CSV reports are still published as benchmark artifacts. They are no longer converted into a Shields endpoint benchmark badge.
-Model IDs, independent artifact versions, and descriptor checksums identify inputs for future reproducibility. Historical snapshots remain tied to the model inputs used when measured; the optional PoliMorf model must not be retroactively attributed to results that predate it. See [Model Selection and Loading](model-selection-and-loading.md) and [Reproducibility](benchmarks/reference/reproducibility.md).
+Model IDs, independent artifact versions, and descriptor checksums identify the inputs in the checked corpus snapshot. The optional PoliMorf model must not be attributed to the default Polish results. See [Model Selection and Loading](model-selection-and-loading.md) and [Reproducibility](benchmarks/reference/reproducibility.md).

docs/benchmarks/data/stemming-quality.csv

@@ -1,309 +1,315 @@
-Stemmer,Language,Dictionary mode,Output policy,Applied dictionary rows,Processed word forms,Singleton dictionary rows,Forms with one candidate,Forms with multiple candidates,Maximum candidates for one form,Total candidate assignments,Distinct output stems,True-positive pairs,False-positive pairs,False-negative pairs,True-negative pairs,Over-stemming error pairs,Over-stemming possible pairs,Over-stemming percentage,Under-stemming error pairs,Under-stemming possible pairs,Under-stemming percentage,Pairwise precision,Pairwise recall,Pairwise specificity,Pairwise accuracy,Balanced accuracy,Pairwise F0.5,Pairwise F1,Pairwise F2,Jaccard index,Fowlkes-Mallows index,Matthews correlation coefficient,Pairwise error rate,Adjusted Rand Index,Homogeneity,Completeness,V-measure,Normalized mutual information
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docs/benchmarks/data/stemming-quality.sha256

@@ -1 +1 @@
-5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28  stemming-quality.csv
+d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5  stemming-quality.csv

docs/benchmarks/index.md

@@ -10,7 +10,7 @@ two layers:
   candidate-policy, classification, and partition measurements from one checked result snapshot.
 
 This structure keeps methodology separate from per-language result pages, while preserving all
-measured data and the command-class analysis for each Radixor language resource.
+measured data and the command-class analysis for each Radixor default model.
 
 ## Read This First
 
@@ -52,8 +52,8 @@ Open [Language Benchmark Pages](languages/index.md) for the complete language li
 
 The English dictionary coverage benchmark shows the current contracted-trie operating curve. With
 the full English dictionary, Radixor reaches `97.478%` all-token exactness and `97.197%`
-changed-token exactness at `135.8 ns/token`. Even with a deterministic 10% dictionary slice, it
-keeps `92.868%` all-token exactness and `76.516%` changed-token exactness at `86.0 ns/token`.
+changed-token exactness at `71.6 ns/token`. Even with a deterministic 10% dictionary slice, it
+keeps `92.868%` all-token exactness and `76.516%` changed-token exactness at `47.0 ns/token`.
 
 Those figures should not be reduced to a single speed badge. The professional interpretation is a
 quality/speed envelope: the amount and quality of dictionary knowledge affect stemming precision,
@@ -61,83 +61,80 @@ while contracted tries reduce lookup cost in uniform regions of the compiled gra
 
 ## Quality versus performance
 
-Each language page keeps exact-root accuracy, JMH latency, and pairwise linguistic-quality results in separate tables. No undocumented scalar combines them. The current repository checkout does not contain the dated machine-readable JMH CSV files named by the performance provenance page, so this revision preserves the existing performance tables but does not regenerate a cross-language Pareto frontier from rounded Markdown values. A defensible Pareto analysis requires the original unrounded JMH snapshot on the same hardware and JVM. Readers can still inspect the quality and speed dimensions side by side on every language page.
+Each language page keeps exact-root accuracy, JMH latency, and pairwise linguistic-quality results in separate tables. No undocumented scalar combines them. The 2026-08-10 language tables are generated exclusively from the current unrounded JMH comparison report produced on the environment documented for this refresh. The Snowball 3.1.0 matrix adds direct Czech, Persian, and Polish stemmers; all previously published Java stemmers were measured again in the same run. Readers should inspect the quality and speed dimensions side by side; no cross-language Pareto ranking is inferred from workloads with different dictionaries and token counts.
+
+### New Snowball 3.1.0 rows
+
+| New direct stemmer | All exact | Changed exact | Root preserved | Speed | Relative to same-language Radixor |
+| --- | ---: | ---: | ---: | ---: | ---: |
+| Czech | 19.865% | 18.186% | 27.645% | 82.4 ns/token | 1.187× |
+| Persian | 3.660% | 0.000% | 100.000% | 298.1 ns/token | 6.486× |
+| Polish | 22.315% | 20.225% | 34.078% | 86.5 ns/token | 1.196× |
+
+These rows describe exact agreement with each Radixor model dictionary and the measured direct API workload; they are not a universal linguistic ranking. In this dataset the three new Snowball stemmers are both less exact and slower than their same-language Radixor baseline. Lucene 10.5.0 does not expose the three new algorithms through `SnowballFilter`, so no synthetic Lucene wrapper rows were added.
 
 <!-- STEMMING-QUALITY-OVERVIEW:START -->
 
 ## Pairwise Quality Findings
 
-The validated snapshot is a broad multilingual comparison covering the complete 20-language Radixor dictionary universe; 19 languages have existing benchmark pages. The direct ranking below uses only deterministic `PRIMARY_OUTPUT` rows over identical per-language inputs. Candidate-aware rows are intentionally excluded from this claim.
+The validated snapshot is a broad multilingual comparison covering the complete 20-language Radixor default-model universe, with one benchmark page per language. The direct ranking below uses only deterministic `PRIMARY_OUTPUT` rows over identical per-language inputs. Candidate-aware rows are intentionally excluded from this claim.
 
 !!! success "Evidence-based primary-output result"
-    Radixor achieved the highest balanced accuracy among the evaluated deterministic stemmers for every documented language in both `ALL_WORDS` and `LOWERCASE_GROUPS_ONLY`: **38 wins in 38 language-mode comparisons, with no exact first-place ties**. This statement is limited to the evaluated implementations, versions, dictionaries, adapters, and balanced-accuracy metric; it is not a universal claim about every stemming use case.
+    Radixor achieved the highest balanced accuracy among the evaluated deterministic stemmers for every documented language in both `ALL_WORDS` and `LOWERCASE_GROUPS_ONLY`: **40 wins in 40 language-mode comparisons, with no exact first-place ties**. This statement is limited to the evaluated implementations, versions, dictionaries, adapters, and balanced-accuracy metric; it is not a universal claim about every stemming use case.
 
 ### Per-language winner matrix
 
 | Language | Dictionary mode | Winner | Balanced accuracy | Runner-up | Difference | Exact tie | Deterministic stemmers |
 |---|---|---|---:|---|---:|---|---:|
-|Czech (`CS_CZ`)|ALL_WORDS|Radixor|0.996565|HUNSPELL CZECH LUCENE FILTER|0.142812638|no|3|
-|Czech (`CS_CZ`)|LOWERCASE_GROUPS_ONLY|Radixor|0.997139|HUNSPELL CZECH LUCENE FILTER|0.144369049|no|3|
-|Danish (`DA_DK`)|ALL_WORDS|Radixor|0.996066|SNOWBALL DANISH LUCENE FILTER|0.058096771|no|3|
-|Danish (`DA_DK`)|LOWERCASE_GROUPS_ONLY|Radixor|0.996305|SNOWBALL DANISH DIRECT|0.058230346|no|3|
-|Dutch (`NL_NL`)|ALL_WORDS|Radixor|0.988661|SNOWBALL DUTCH DIRECT|0.261574077|no|4|
-|Dutch (`NL_NL`)|LOWERCASE_GROUPS_ONLY|Radixor|0.989040|SNOWBALL DUTCH DIRECT|0.258544404|no|4|
-|English (`US_UK`)|ALL_WORDS|Radixor|0.965159|ENGLISH LUCENE PORTER COPIED|0.010532535|no|11|
-|English (`US_UK`)|LOWERCASE_GROUPS_ONLY|Radixor|0.965820|ENGLISH LUCENE PORTER COPIED|0.010920064|no|11|
-|Finnish (`FI_FI`)|ALL_WORDS|Radixor|0.984594|SNOWBALL FINNISH LUCENE FILTER|0.244241861|no|4|
-|Finnish (`FI_FI`)|LOWERCASE_GROUPS_ONLY|Radixor|0.988068|SNOWBALL FINNISH DIRECT|0.249668284|no|4|
-|French (`FR_FR`)|ALL_WORDS|Radixor|0.956992|SNOWBALL FRENCH DIRECT|0.111730673|no|6|
-|French (`FR_FR`)|LOWERCASE_GROUPS_ONLY|Radixor|0.957224|SNOWBALL FRENCH DIRECT|0.111809799|no|6|
-|German (`DE_DE`)|ALL_WORDS|Radixor|0.907901|GERMAN CISTEM|0.027131083|no|8|
-|German (`DE_DE`)|LOWERCASE_GROUPS_ONLY|Radixor|0.966157|GERMAN CISTEM|0.050868631|no|8|
-|Hungarian (`HU_HU`)|ALL_WORDS|Radixor|0.995491|SNOWBALL HUNGARIAN LUCENE FILTER|0.172884951|no|4|
-|Hungarian (`HU_HU`)|LOWERCASE_GROUPS_ONLY|Radixor|0.996163|SNOWBALL HUNGARIAN DIRECT|0.174455479|no|4|
-|Italian (`IT_IT`)|ALL_WORDS|Radixor|0.996507|SNOWBALL ITALIAN DIRECT|0.130318040|no|4|
-|Italian (`IT_IT`)|LOWERCASE_GROUPS_ONLY|Radixor|0.996512|SNOWBALL ITALIAN DIRECT|0.130307087|no|4|
-|Norwegian Bokmal (`NB_NO`)|ALL_WORDS|Radixor|0.974783|SNOWBALL NORWEGIAN BOKMAL DIRECT|0.099819340|no|5|
-|Norwegian Bokmal (`NB_NO`)|LOWERCASE_GROUPS_ONLY|Radixor|0.975000|SNOWBALL NORWEGIAN BOKMAL DIRECT|0.100008544|no|5|
-|Norwegian Nynorsk (`NN_NO`)|ALL_WORDS|Radixor|0.935777|SNOWBALL NORWEGIAN NYNORSK DIRECT|0.076868986|no|3|
-|Norwegian Nynorsk (`NN_NO`)|LOWERCASE_GROUPS_ONLY|Radixor|0.935853|SNOWBALL NORWEGIAN NYNORSK DIRECT|0.076816096|no|3|
-|Persian (`FA_IR`)|ALL_WORDS|Radixor|0.974922|PERSIAN LUCENE PERSIAN STEM FILTER|0.472751327|no|2|
-|Persian (`FA_IR`)|LOWERCASE_GROUPS_ONLY|Radixor|0.974922|PERSIAN LUCENE PERSIAN STEM FILTER|0.472751327|no|2|
-|Polish (`PL_PL`)|ALL_WORDS|Radixor|0.990388|POLISH LUCENE MORFOLOGIK FILTER|0.042233990|no|5|
-|Polish (`PL_PL`)|LOWERCASE_GROUPS_ONLY|Radixor|0.990579|POLISH LUCENE MORFOLOGIK FILTER|0.042401633|no|5|
-|Portuguese (`PT_PT`)|ALL_WORDS|Radixor|0.998502|SNOWBALL PORTUGUESE DIRECT|0.059701750|no|6|
-|Portuguese (`PT_PT`)|LOWERCASE_GROUPS_ONLY|Radixor|0.998502|SNOWBALL PORTUGUESE DIRECT|0.059701750|no|6|
-|Russian (`RU_RU`)|ALL_WORDS|Radixor|0.989827|SNOWBALL RUSSIAN LUCENE FILTER|0.154951419|no|4|
-|Russian (`RU_RU`)|LOWERCASE_GROUPS_ONLY|Radixor|0.989852|SNOWBALL RUSSIAN DIRECT|0.154997931|no|4|
-|Spanish (`ES_ES`)|ALL_WORDS|Radixor|0.989295|SNOWBALL SPANISH LUCENE FILTER|0.336680479|no|7|
-|Spanish (`ES_ES`)|LOWERCASE_GROUPS_ONLY|Radixor|0.989429|SNOWBALL SPANISH DIRECT|0.336708826|no|7|
-|Swedish (`SV_SE`)|ALL_WORDS|Radixor|0.974636|SNOWBALL SWEDISH DIRECT|0.167101450|no|5|
-|Swedish (`SV_SE`)|LOWERCASE_GROUPS_ONLY|Radixor|0.974584|SNOWBALL SWEDISH DIRECT|0.166984893|no|5|
-|Ukrainian (`UK_UA`)|ALL_WORDS|Radixor|0.995343|UKRAINIAN LUCENE MORFOLOGIK FILTER|0.066574583|no|4|
-|Ukrainian (`UK_UA`)|LOWERCASE_GROUPS_ONLY|Radixor|0.995342|UKRAINIAN LUCENE MORFOLOGIK FILTER|0.066590889|no|4|
-|Yiddish (`YI`)|ALL_WORDS|Radixor|0.988241|SNOWBALL YIDDISH DIRECT|0.097253207|no|3|
-|Yiddish (`YI`)|LOWERCASE_GROUPS_ONLY|Radixor|0.988241|SNOWBALL YIDDISH DIRECT|0.097253207|no|3|
+|Czech (`CS_CZ`)|ALL_WORDS|Radixor|0.996617|HUNSPELL CZECH LUCENE FILTER|0.142485045|no|4|
+|Czech (`CS_CZ`)|LOWERCASE_GROUPS_ONLY|Radixor|0.997195|HUNSPELL CZECH LUCENE FILTER|0.144045088|no|4|
+|Danish (`DA_DK`)|ALL_WORDS|Radixor|0.996243|SNOWBALL DANISH DIRECT|0.053760569|no|3|
+|Danish (`DA_DK`)|LOWERCASE_GROUPS_ONLY|Radixor|0.996482|SNOWBALL DANISH DIRECT|0.054099342|no|3|
+|Dutch (`NL_NL`)|ALL_WORDS|Radixor|0.988733|SNOWBALL DUTCH DIRECT|0.261639748|no|4|
+|Dutch (`NL_NL`)|LOWERCASE_GROUPS_ONLY|Radixor|0.989114|SNOWBALL DUTCH DIRECT|0.258605347|no|4|
+|English (`US_UK`)|ALL_WORDS|Radixor|0.965537|ENGLISH LUCENE PORTER COPIED|0.010741250|no|11|
+|English (`US_UK`)|LOWERCASE_GROUPS_ONLY|Radixor|0.966202|ENGLISH LUCENE PORTER COPIED|0.011138557|no|11|
+|Finnish (`FI_FI`)|ALL_WORDS|Radixor|0.984838|SNOWBALL FINNISH LUCENE FILTER|0.244558928|no|4|
+|Finnish (`FI_FI`)|LOWERCASE_GROUPS_ONLY|Radixor|0.988242|SNOWBALL FINNISH DIRECT|0.249699076|no|4|
+|French (`FR_FR`)|ALL_WORDS|Radixor|0.958627|SNOWBALL FRENCH DIRECT|0.109964908|no|6|
+|French (`FR_FR`)|LOWERCASE_GROUPS_ONLY|Radixor|0.958856|SNOWBALL FRENCH DIRECT|0.110030565|no|6|
+|German (`DE_DE`)|ALL_WORDS|Radixor|0.910445|GERMAN CISTEM|0.031918024|no|8|
+|German (`DE_DE`)|LOWERCASE_GROUPS_ONLY|Radixor|0.966959|GERMAN CISTEM|0.052231588|no|8|
+|Hebrew (`HE_IL`)|ALL_WORDS|Radixor|0.986075|n/a|n/a|no|1|
+|Hebrew (`HE_IL`)|LOWERCASE_GROUPS_ONLY|Radixor|0.986075|n/a|n/a|no|1|
+|Hungarian (`HU_HU`)|ALL_WORDS|Radixor|0.995555|SNOWBALL HUNGARIAN LUCENE FILTER|0.172591951|no|4|
+|Hungarian (`HU_HU`)|LOWERCASE_GROUPS_ONLY|Radixor|0.996227|SNOWBALL HUNGARIAN DIRECT|0.174150583|no|4|
+|Italian (`IT_IT`)|ALL_WORDS|Radixor|0.996651|SNOWBALL ITALIAN DIRECT|0.130360651|no|4|
+|Italian (`IT_IT`)|LOWERCASE_GROUPS_ONLY|Radixor|0.996656|SNOWBALL ITALIAN DIRECT|0.130349693|no|4|
+|Norwegian Bokmal (`NB_NO`)|ALL_WORDS|Radixor|0.976021|SNOWBALL NORWEGIAN BOKMAL DIRECT|0.101762107|no|5|
+|Norwegian Bokmal (`NB_NO`)|LOWERCASE_GROUPS_ONLY|Radixor|0.976240|SNOWBALL NORWEGIAN BOKMAL DIRECT|0.101954266|no|5|
+|Norwegian Nynorsk (`NN_NO`)|ALL_WORDS|Radixor|0.950991|SNOWBALL NORWEGIAN NYNORSK DIRECT|0.082896791|no|3|
+|Norwegian Nynorsk (`NN_NO`)|LOWERCASE_GROUPS_ONLY|Radixor|0.951104|SNOWBALL NORWEGIAN NYNORSK DIRECT|0.082851757|no|3|
+|Persian (`FA_IR`)|ALL_WORDS|Radixor|0.976360|SNOWBALL PERSIAN DIRECT|0.441236451|no|3|
+|Persian (`FA_IR`)|LOWERCASE_GROUPS_ONLY|Radixor|0.976360|SNOWBALL PERSIAN DIRECT|0.441236451|no|3|
+|Polish (`PL_PL`)|ALL_WORDS|Radixor|0.991105|POLISH LUCENE MORFOLOGIK FILTER|0.042712804|no|6|
+|Polish (`PL_PL`)|LOWERCASE_GROUPS_ONLY|Radixor|0.991301|POLISH LUCENE MORFOLOGIK FILTER|0.042883749|no|6|
+|Portuguese (`PT_PT`)|ALL_WORDS|Radixor|0.998542|SNOWBALL PORTUGUESE DIRECT|0.059619854|no|6|
+|Portuguese (`PT_PT`)|LOWERCASE_GROUPS_ONLY|Radixor|0.998542|SNOWBALL PORTUGUESE DIRECT|0.059619854|no|6|
+|Russian (`RU_RU`)|ALL_WORDS|Radixor|0.990188|SNOWBALL RUSSIAN LUCENE FILTER|0.155623602|no|4|
+|Russian (`RU_RU`)|LOWERCASE_GROUPS_ONLY|Radixor|0.990213|SNOWBALL RUSSIAN DIRECT|0.155670422|no|4|
+|Spanish (`ES_ES`)|ALL_WORDS|Radixor|0.989448|SNOWBALL SPANISH LUCENE FILTER|0.337009985|no|7|
+|Spanish (`ES_ES`)|LOWERCASE_GROUPS_ONLY|Radixor|0.989580|SNOWBALL SPANISH DIRECT|0.337037572|no|7|
+|Swedish (`SV_SE`)|ALL_WORDS|Radixor|0.977619|SNOWBALL SWEDISH DIRECT|0.169075635|no|5|
+|Swedish (`SV_SE`)|LOWERCASE_GROUPS_ONLY|Radixor|0.977573|SNOWBALL SWEDISH DIRECT|0.168961385|no|5|
+|Ukrainian (`UK_UA`)|ALL_WORDS|Radixor|0.995816|UKRAINIAN LUCENE MORFOLOGIK FILTER|0.066909929|no|4|
+|Ukrainian (`UK_UA`)|LOWERCASE_GROUPS_ONLY|Radixor|0.995815|UKRAINIAN LUCENE MORFOLOGIK FILTER|0.066926372|no|4|
+|Yiddish (`YI`)|ALL_WORDS|Radixor|0.989079|SNOWBALL YIDDISH DIRECT|0.097960961|no|3|
+|Yiddish (`YI`)|LOWERCASE_GROUPS_ONLY|Radixor|0.989079|SNOWBALL YIDDISH DIRECT|0.097960961|no|3|
 
 ### Secondary-metric trade-offs
 
-Balanced-accuracy leadership does not imply leadership on every error trade-off. The table below lists all **15** deterministic primary-output language-mode-metric cases where a non-Radixor adapter has the best displayed value. Equal values are resolved by the authoritative row ordering and should be read as ties when the unrounded values are equal. Throughput leadership remains in the separate performance tables.
+Balanced-accuracy leadership does not imply leadership on every error trade-off. The table below lists all **0** deterministic primary-output language-mode-metric cases where a non-Radixor adapter has the best displayed value. Equal values are resolved by the authoritative row ordering and should be read as ties when the unrounded values are equal. Throughput leadership remains in the separate performance tables.
 
 <details class="quality-details" markdown="1"><summary>Non-Radixor secondary-metric leaders</summary>
 
 | Language | Dictionary mode | Metric | Leader | Value |
 |---|---|---|---|---:|
-|English|ALL_WORDS|Over-stemming percentage|ENGLISH LUCENE POSSESSIVE FILTER|0.000604|
-|English|LOWERCASE_GROUPS_ONLY|Over-stemming percentage|ENGLISH LUCENE POSSESSIVE FILTER|0.000653|
-|French|ALL_WORDS|Over-stemming percentage|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|0.000177|
-|French|LOWERCASE_GROUPS_ONLY|Over-stemming percentage|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|0.000166|
-|German|LOWERCASE_GROUPS_ONLY|Over-stemming percentage|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|0.000188|
-|Italian|ALL_WORDS|Over-stemming percentage|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|0.000020|
-|Italian|LOWERCASE_GROUPS_ONLY|Over-stemming percentage|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|0.000020|
-|Persian|ALL_WORDS|Over-stemming percentage|PERSIAN LUCENE PERSIAN STEM FILTER|0.002652|
-|Persian|LOWERCASE_GROUPS_ONLY|Over-stemming percentage|PERSIAN LUCENE PERSIAN STEM FILTER|0.002652|
-|Portuguese|ALL_WORDS|Over-stemming percentage|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|0.000003|
-|Portuguese|LOWERCASE_GROUPS_ONLY|Over-stemming percentage|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|0.000003|
-|Spanish|ALL_WORDS|Over-stemming percentage|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|0.000013|
-|Spanish|LOWERCASE_GROUPS_ONLY|Over-stemming percentage|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|0.000012|
-|Ukrainian|ALL_WORDS|Over-stemming percentage|HUNSPELL UKRAINIAN LUCENE FILTER|0.000783|
-|Ukrainian|LOWERCASE_GROUPS_ONLY|Over-stemming percentage|HUNSPELL UKRAINIAN LUCENE FILTER|0.000784|
 
 </details>
 
@@ -149,7 +146,7 @@ Counts use `PRIMARY_OUTPUT` only and retain each adapter configuration as a sepa
 
 | Stemmer | Evaluated languages | Wins | Exact first-place ties | Top-three placements | Average rank | Median rank |
 |---|---:|---:|---:|---:|---:|---:|
-|Radixor|19|19|0|19|1.000|1.000|
+|Radixor|20|20|0|20|1.000|1.000|
 |CZECH LUCENE CZECH STEM FILTER|1|0|0|1|3.000|3.000|
 |ENGLISH LUCENE KSTEM FILTER|1|0|0|0|8.000|8.000|
 |ENGLISH LUCENE MINIMAL FILTER|1|0|0|0|9.000|9.000|
@@ -179,7 +176,7 @@ Counts use `PRIMARY_OUTPUT` only and retain each adapter configuration as a sepa
 |ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|1|0|0|0|4.000|4.000|
 |NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|1|0|0|0|4.000|4.000|
 |NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|1|0|0|0|5.000|5.000|
-|PERSIAN LUCENE PERSIAN STEM FILTER|1|0|0|1|2.000|2.000|
+|PERSIAN LUCENE PERSIAN STEM FILTER|1|0|0|1|3.000|3.000|
 |POLISH LUCENE MORFOLOGIK FILTER|1|0|0|1|2.000|2.000|
 |POLISH LUCENE STEMPEL DIRECT|1|0|0|0|4.000|4.000|
 |POLISH LUCENE STEMPEL FILTER|1|0|0|0|5.000|5.000|
@@ -187,8 +184,9 @@ Counts use `PRIMARY_OUTPUT` only and retain each adapter configuration as a sepa
 |PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|1|0|0|0|6.000|6.000|
 |PORTUGUESE LUCENE PORTUGUESE STEM FILTER|1|0|0|0|4.000|4.000|
 |RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|1|0|0|0|4.000|4.000|
-|SNOWBALL DANISH DIRECT|1|0|0|1|3.000|3.000|
-|SNOWBALL DANISH LUCENE FILTER|1|0|0|1|2.000|2.000|
+|SNOWBALL CZECH DIRECT|1|0|0|0|4.000|4.000|
+|SNOWBALL DANISH DIRECT|1|0|0|1|2.000|2.000|
+|SNOWBALL DANISH LUCENE FILTER|1|0|0|1|3.000|3.000|
 |SNOWBALL DUTCH DIRECT|1|0|0|1|2.000|2.000|
 |SNOWBALL DUTCH LUCENE FILTER|1|0|0|0|4.000|4.000|
 |SNOWBALL FINNISH DIRECT|1|0|0|1|3.000|3.000|
@@ -205,6 +203,8 @@ Counts use `PRIMARY_OUTPUT` only and retain each adapter configuration as a sepa
 |SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|1|0|0|1|3.000|3.000|
 |SNOWBALL NORWEGIAN NYNORSK DIRECT|1|0|0|1|2.000|2.000|
 |SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|1|0|0|1|3.000|3.000|
+|SNOWBALL PERSIAN DIRECT|1|0|0|1|2.000|2.000|
+|SNOWBALL POLISH DIRECT|1|0|0|0|6.000|6.000|
 |SNOWBALL PORTUGUESE DIRECT|1|0|0|1|2.000|2.000|
 |SNOWBALL PORTUGUESE LUCENE FILTER|1|0|0|1|3.000|3.000|
 |SNOWBALL RUSSIAN DIRECT|1|0|0|1|3.000|3.000|
@@ -229,7 +229,7 @@ Counts use `PRIMARY_OUTPUT` only and retain each adapter configuration as a sepa
 
 | Stemmer | Evaluated languages | Wins | Exact first-place ties | Top-three placements | Average rank | Median rank |
 |---|---:|---:|---:|---:|---:|---:|
-|Radixor|19|19|0|19|1.000|1.000|
+|Radixor|20|20|0|20|1.000|1.000|
 |CZECH LUCENE CZECH STEM FILTER|1|0|0|1|3.000|3.000|
 |ENGLISH LUCENE KSTEM FILTER|1|0|0|0|8.000|8.000|
 |ENGLISH LUCENE MINIMAL FILTER|1|0|0|0|9.000|9.000|
@@ -259,7 +259,7 @@ Counts use `PRIMARY_OUTPUT` only and retain each adapter configuration as a sepa
 |ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|1|0|0|0|4.000|4.000|
 |NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|1|0|0|0|4.000|4.000|
 |NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|1|0|0|0|5.000|5.000|
-|PERSIAN LUCENE PERSIAN STEM FILTER|1|0|0|1|2.000|2.000|
+|PERSIAN LUCENE PERSIAN STEM FILTER|1|0|0|1|3.000|3.000|
 |POLISH LUCENE MORFOLOGIK FILTER|1|0|0|1|2.000|2.000|
 |POLISH LUCENE STEMPEL DIRECT|1|0|0|0|4.000|4.000|
 |POLISH LUCENE STEMPEL FILTER|1|0|0|0|5.000|5.000|
@@ -267,6 +267,7 @@ Counts use `PRIMARY_OUTPUT` only and retain each adapter configuration as a sepa
 |PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|1|0|0|0|6.000|6.000|
 |PORTUGUESE LUCENE PORTUGUESE STEM FILTER|1|0|0|0|4.000|4.000|
 |RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|1|0|0|0|4.000|4.000|
+|SNOWBALL CZECH DIRECT|1|0|0|0|4.000|4.000|
 |SNOWBALL DANISH DIRECT|1|0|0|1|2.000|2.000|
 |SNOWBALL DANISH LUCENE FILTER|1|0|0|1|3.000|3.000|
 |SNOWBALL DUTCH DIRECT|1|0|0|1|2.000|2.000|
@@ -285,6 +286,8 @@ Counts use `PRIMARY_OUTPUT` only and retain each adapter configuration as a sepa
 |SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|1|0|0|1|3.000|3.000|
 |SNOWBALL NORWEGIAN NYNORSK DIRECT|1|0|0|1|2.000|2.000|
 |SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|1|0|0|1|3.000|3.000|
+|SNOWBALL PERSIAN DIRECT|1|0|0|1|2.000|2.000|
+|SNOWBALL POLISH DIRECT|1|0|0|0|6.000|6.000|
 |SNOWBALL PORTUGUESE DIRECT|1|0|0|1|2.000|2.000|
 |SNOWBALL PORTUGUESE LUCENE FILTER|1|0|0|1|3.000|3.000|
 |SNOWBALL RUSSIAN DIRECT|1|0|0|1|2.000|2.000|
@@ -308,17 +311,17 @@ Counts use `PRIMARY_OUTPUT` only and retain each adapter configuration as a sepa
 
 ### Radixor full-coverage aggregates
 
-These aggregates cover all 19 documented languages. Macro balanced accuracy gives each language equal weight. Micro metrics first sum raw pair counts across languages. Unsupported third-party languages are never inserted as zero results, so this full-coverage table is not presented as a cross-stemmer common-language ranking.
+These aggregates cover all 20 documented languages. Macro balanced accuracy gives each language equal weight. Micro metrics first sum raw pair counts across languages. Unsupported third-party languages are never inserted as zero results, so this full-coverage table is not presented as a cross-stemmer common-language ranking.
 
 | Dictionary mode | Languages | Macro balanced accuracy | Micro balanced accuracy | Micro precision | Micro recall | Micro F1 |
 |---|---:|---:|---:|---:|---:|---:|
-|ALL_WORDS|19|0.978929|0.987664|0.975113|0.975328|0.975221|
-|LOWERCASE_GROUPS_ONLY|19|0.982354|0.989366|0.975322|0.978734|0.977025|
+|ALL_WORDS|20|0.980724|0.987976|0.999988|0.975952|0.987824|
+|LOWERCASE_GROUPS_ONLY|20|0.983891|0.989614|0.999992|0.979228|0.989501|
 
 ### Reproducible data
 
 - [Machine-readable quality snapshot](data/stemming-quality.csv)
-- SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
+- SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
 - [Linguistic quality methodology](reference/linguistic-quality.md)
 - [Tested stemmer inventory](reference/tested-stemmers.md)
 - [Reproducibility and raw data](reference/reproducibility.md)

docs/benchmarks/languages/czech.md

@@ -8,21 +8,21 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `CS_CZ` | 5,113 | 56,612 | 10,049 | 46,563 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `cs-cz-default` | `1.0.0` | `CS_CZ` | 5,113 | 56,612 | 10,049 | 46,563 | 46,563 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **56,612**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **56,612**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
-| `AppendCharacterCommand` | Appends one character to the end of the word form. | 675 | 1.192% |
-| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 22,681 | 40.064% |
-| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 14,980 | 26.461% |
-| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 10,109 | 17.857% |
-| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 8,167 | 14.426% |
+| `AppendCharacterCommand` | Appends one character to the end of the word form. | 711 | 1.256% |
+| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 22,643 | 39.997% |
+| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 15,007 | 26.509% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 10,046 | 17.745% |
+| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 8,205 | 14.493% |
 
 ## Accuracy
 
@@ -30,23 +30,25 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 99.465% | 99.439% | 99.582% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 99.465% | 99.439% | 99.582% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene HunspellStemFilter | 84.850% | 82.269% | 96.806% | Benchmark-only Czech Hunspell dictionary compared via Lucene HunspellStemFilter. |
 | Lucene CzechStemFilter | 16.784% | 15.538% | 22.559% | Lucene Czech suffix stemmer implemented as a TokenFilter. |
+| Official Snowball direct | 19.865% | 18.186% | 27.645% | Official Snowball 3.1.0 generated Java stemmer; rule-based suffix algorithm. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `czechRadixor` | 3.332 | 0.240 | 71.6 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 346.819 | 3.622 | 7448.4 | 104.091 | Benchmark-only Czech Hunspell dictionary compared via Lucene HunspellStemFilter. |
-| Lucene CzechStemFilter | `czechLuceneCzechStemFilter` | 3.163 | 0.253 | 67.9 | 0.949 | Czech suffix stemmer implemented as a Lucene TokenFilter. |
+| Radixor | `czechRadixor` | 3.230 | 0.050 | 69.4 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 349.111 | 24.459 | 7497.6 | 108.091 | Benchmark-only Czech Hunspell dictionary compared via Lucene HunspellStemFilter. |
+| Lucene CzechStemFilter | `czechLuceneCzechStemFilter` | 2.927 | 0.032 | 62.9 | 0.906 | Czech suffix stemmer implemented as a Lucene TokenFilter. |
+| Official Snowball direct | `snowballDirect[CZECH]` | 3.835 | 0.320 | 82.4 | 1.187 | Official Snowball 3.1.0 generated Java stemmer; direct API. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -56,29 +58,30 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `CS_CZ` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `CS_CZ` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/cs_cz/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `cs-cz-default`, loaded from classpath resource `org/egothor/stemmer/models/cs-cz-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.996565** among 3 deterministic stemmers. The runner-up is `HUNSPELL CZECH LUCENE FILTER` at 0.853752, a difference of 0.142813. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.997139** among 3 deterministic stemmers. The runner-up is `HUNSPELL CZECH LUCENE FILTER` at 0.852770, a difference of 0.144369. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.996617** among 4 deterministic stemmers. The runner-up is `HUNSPELL CZECH LUCENE FILTER` at 0.854132, a difference of 0.142485. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.997195** among 4 deterministic stemmers. The runner-up is `HUNSPELL CZECH LUCENE FILTER` at 0.853150, a difference of 0.144045. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **7 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.996565|3867 / 1334876815 (0.000290%)|2073 / 301835 (0.686799%)|0.988432|0.990189|0.990191|
-|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|0.853752|11408 / 1334876815 (0.000855%)|88283 / 301835 (29.248762%)|0.888560|0.810759|0.819499|
-|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|0.793614|14480 / 1334876815 (0.001085%)|124586 / 301835 (41.276194%)|0.829234|0.718241|0.736765|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.996617|0.000000%|0.676519%|
+|2|HUNSPELL CZECH LUCENE FILTER|0.854132|0.000691%|29.172837%|
+|3|CZECH LUCENE CZECH STEM FILTER|0.794343|0.000928%|41.130549%|
+|4|SNOWBALL CZECH DIRECT|0.786366|0.000904%|42.725842%|
 
 </div>
 
@@ -86,9 +89,10 @@ This mode contains **7 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.987264|0.993132|0.999997|0.996565|0.999996|0.000004|
-|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|0.949289|0.707512|0.999991|0.853752|0.999925|0.000075|
-|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|0.924477|0.587238|0.999989|0.793614|0.999896|0.000104|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.993235|1.000000|0.996617|0.999998|0.000002|
+|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|0.958877|0.708272|0.999993|0.854132|0.999927|0.000073|
+|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|0.935210|0.588695|0.999991|0.794343|0.999897|0.000103|
+|4|SNOWBALL CZECH DIRECT|PRIMARY_OUTPUT|0.935153|0.572742|0.999991|0.786366|0.999894|0.000106|
 
 </details>
 
@@ -96,19 +100,10 @@ This mode contains **7 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.988432|0.990189|0.991953|0.980569|0.990194|0.990191|
-|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|0.888560|0.810759|0.745486|0.681745|0.819533|0.819499|
-|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|0.829234|0.718241|0.633453|0.560356|0.736809|0.736765|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.990187|0.998733|0.998686|0.998709|0.998709|
-|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|0.810723|0.995777|0.952852|0.973842|0.973842|
-|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|0.718192|0.993801|0.944977|0.968774|0.968774|
+|1|Radixor|PRIMARY_OUTPUT|0.998640|0.996606|0.994581|0.993235|0.996612|0.996611|
+|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|0.895506|0.814739|0.747335|0.687392|0.824103|0.824070|
+|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|0.836710|0.722556|0.635811|0.565626|0.741992|0.741949|
+|4|SNOWBALL CZECH DIRECT|PRIMARY_OUTPUT|0.830101|0.710396|0.620864|0.550864|0.731848|0.731804|
 
 </details>
 
@@ -116,67 +111,43 @@ This mode contains **7 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|299762|3867|2073|1334872948|3867 / 1334876815|2073 / 301835|
-|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|213552|11408|88283|1334865407|11408 / 1334876815|88283 / 301835|
-|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|177249|14480|124586|1334862335|14480 / 1334876815|124586 / 301835|
+|1|Radixor|PRIMARY_OUTPUT|298476|0|2033|1320705191|0 / 1320705191|2033 / 300509|
+|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|212842|9128|87667|1320696063|9128 / 1320705191|87667 / 300509|
+|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|176908|12256|123601|1320692935|12256 / 1320705191|123601 / 300509|
+|4|SNOWBALL CZECH DIRECT|PRIMARY_OUTPUT|172114|11935|128395|1320693256|11935 / 1320705191|128395 / 300509|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 1334876815 (0.000000%)|0 / 301835 (0.000000%)|1.000000|1.000000|1.000000|
-|2|HUNSPELL CZECH LUCENE FILTER|ANY_CANDIDATE|0.871577|10102 / 1334876815 (0.000757%)|77523 / 301835 (25.683900%)|0.904855|0.836596|0.843258|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
+|HUNSPELL CZECH LUCENE FILTER|0.000650%|25.611213%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-|2|HUNSPELL CZECH LUCENE FILTER|ANY_CANDIDATE|0.956905|0.743161|0.999992|0.871577|0.999934|0.000066|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-|2|HUNSPELL CZECH LUCENE FILTER|ANY_CANDIDATE|0.904855|0.836596|0.777914|0.719094|0.843288|0.843258|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL CZECH LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|301835|0|0|1334876815|0 / 1334876815|0 / 301835|
-|2|HUNSPELL CZECH LUCENE FILTER|ANY_CANDIDATE|224312|10102|77523|1334866713|10102 / 1334876815|77523 / 301835|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 1320705191|0 / 300509|
+|HUNSPELL CZECH LUCENE FILTER|8582 / 1320705191|76964 / 300509|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999998|5850 / 1334876815 (0.000438%)|0 / 301835 (0.000000%)|0.984732|0.990402|0.990446|
-|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|0.871575|13917 / 1334876815 (0.001043%)|77523 / 301835 (25.683900%)|0.893851|0.830687|0.836477|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
+|2|HUNSPELL CZECH LUCENE FILTER|0.871940|0.000816%|25.611213%|
 
 </div>
 
@@ -184,8 +155,8 @@ This mode contains **7 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.980987|1.000000|0.999996|0.999998|0.999996|0.000004|
-|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|0.941581|0.743161|0.999990|0.871575|0.999932|0.000068|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
+|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|0.954016|0.743888|0.999992|0.871940|0.999934|0.000066|
 
 </details>
 
@@ -193,17 +164,8 @@ This mode contains **7 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.984732|0.990402|0.996139|0.980987|0.990448|0.990446|
-|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|0.893851|0.830687|0.775861|0.710406|0.836509|0.836477|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
+|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|0.903001|0.835949|0.778167|0.718138|0.842426|0.842395|
 
 </details>
 
@@ -211,8 +173,8 @@ This mode contains **7 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|301835|5850|0|1334870965|5850 / 1334876815|0 / 301835|
-|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|224312|13917|77523|1334862898|13917 / 1334876815|77523 / 301835|
+|1|Radixor|ALL_CANDIDATES|300509|0|0|1320705191|0 / 1320705191|0 / 300509|
+|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|223545|10775|76964|1320694416|10775 / 1320705191|76964 / 300509|
 
 </details>
 
@@ -222,22 +184,23 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|2073|3867|1983|596|1.153340%|4|52319|
-|HUNSPELL CZECH LUCENE FILTER|10760|1306|2509|3317|6.418840%|5|55596|
+|Radixor|2033|0|0|321|0.624501%|4|51739|
+|HUNSPELL CZECH LUCENE FILTER|10703|546|1647|3194|6.213887%|5|55179|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **7 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.997139|3863 / 1298544215 (0.000297%)|1709 / 298813 (0.571930%)|0.988580|0.990710|0.990714|
-|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|0.852770|11239 / 1298544215 (0.000866%)|87986 / 298813 (29.445171%)|0.888009|0.809505|0.818403|
-|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|0.791794|13950 / 1298544215 (0.001074%)|124426 / 298813 (41.640089%)|0.828709|0.715948|0.735055|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.997195|0.000000%|0.561033%|
+|2|HUNSPELL CZECH LUCENE FILTER|0.853150|0.000700%|29.369351%|
+|3|CZECH LUCENE CZECH STEM FILTER|0.792522|0.000918%|41.494586%|
+|4|SNOWBALL CZECH DIRECT|0.784821|0.000923%|43.034822%|
 
 </div>
 
@@ -245,9 +208,10 @@ This mode contains **7 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.987165|0.994281|0.999997|0.997139|0.999996|0.000004|
-|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|0.949389|0.705548|0.999991|0.852770|0.999924|0.000076|
-|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|0.925931|0.583599|0.999989|0.791794|0.999893|0.000107|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.994390|1.000000|0.997195|0.999999|0.000001|
+|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|0.958957|0.706306|0.999993|0.853150|0.999925|0.000075|
+|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|0.936557|0.585054|0.999991|0.792522|0.999895|0.000105|
+|4|SNOWBALL CZECH DIRECT|PRIMARY_OUTPUT|0.934577|0.569652|0.999991|0.784821|0.999891|0.000109|
 
 </details>
 
@@ -255,19 +219,10 @@ This mode contains **7 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.988580|0.990710|0.992849|0.981591|0.990716|0.990714|
-|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|0.888009|0.809505|0.743753|0.679973|0.818437|0.818403|
-|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|0.828709|0.715948|0.630198|0.557569|0.735100|0.735055|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.990708|0.998726|0.999030|0.998878|0.998878|
-|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|0.809467|0.995812|0.952394|0.973619|0.973619|
-|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|0.715897|0.993897|0.944297|0.968463|0.968463|
+|1|Radixor|PRIMARY_OUTPUT|0.998873|0.997187|0.995507|0.994390|0.997191|0.997190|
+|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|0.894932|0.813466|0.745594|0.685581|0.822993|0.822960|
+|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|0.836092|0.720206|0.632534|0.562751|0.740227|0.740184|
+|4|SNOWBALL CZECH DIRECT|PRIMARY_OUTPUT|0.828436|0.707849|0.617907|0.547807|0.729646|0.729601|
 
 </details>
 
@@ -275,67 +230,43 @@ This mode contains **7 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|297104|3863|1709|1298540352|3863 / 1298544215|1709 / 298813|
-|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|210827|11239|87986|1298532976|11239 / 1298544215|87986 / 298813|
-|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|174387|13950|124426|1298530265|13950 / 1298544215|124426 / 298813|
+|1|Radixor|PRIMARY_OUTPUT|295818|0|1669|1284770069|0 / 1284770069|1669 / 297487|
+|2|HUNSPELL CZECH LUCENE FILTER|PRIMARY_OUTPUT|210117|8993|87370|1284761076|8993 / 1284770069|87370 / 297487|
+|3|CZECH LUCENE CZECH STEM FILTER|PRIMARY_OUTPUT|174046|11790|123441|1284758279|11790 / 1284770069|123441 / 297487|
+|4|SNOWBALL CZECH DIRECT|PRIMARY_OUTPUT|169464|11863|128023|1284758206|11863 / 1284770069|128023 / 297487|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 1298544215 (0.000000%)|0 / 298813 (0.000000%)|1.000000|1.000000|1.000000|
-|2|HUNSPELL CZECH LUCENE FILTER|ANY_CANDIDATE|0.870432|10028 / 1298544215 (0.000772%)|77431 / 298813 (25.912862%)|0.904004|0.835052|0.841852|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
+|HUNSPELL CZECH LUCENE FILTER|0.000663%|25.840457%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-|2|HUNSPELL CZECH LUCENE FILTER|ANY_CANDIDATE|0.956666|0.740871|0.999992|0.870432|0.999933|0.000067|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-|2|HUNSPELL CZECH LUCENE FILTER|ANY_CANDIDATE|0.904004|0.835052|0.775874|0.716815|0.841883|0.841852|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL CZECH LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|298813|0|0|1298544215|0 / 1298544215|0 / 298813|
-|2|HUNSPELL CZECH LUCENE FILTER|ANY_CANDIDATE|221382|10028|77431|1298534187|10028 / 1298544215|77431 / 298813|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 1284770069|0 / 297487|
+|HUNSPELL CZECH LUCENE FILTER|8518 / 1284770069|76872 / 297487|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999998|5782 / 1298544215 (0.000445%)|0 / 298813 (0.000000%)|0.984756|0.990418|0.990461|
-|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|0.870430|13601 / 1298544215 (0.001047%)|77431 / 298813 (25.912862%)|0.893574|0.829463|0.835425|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
+|2|HUNSPELL CZECH LUCENE FILTER|0.870794|0.000819%|25.840457%|
 
 </div>
 
@@ -343,8 +274,8 @@ This mode contains **7 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.981017|1.000000|0.999996|0.999998|0.999996|0.000004|
-|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|0.942119|0.740871|0.999990|0.870430|0.999930|0.000070|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
+|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|0.954473|0.741595|0.999992|0.870794|0.999932|0.000068|
 
 </details>
 
@@ -352,17 +283,8 @@ This mode contains **7 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.984756|0.990418|0.996145|0.981017|0.990463|0.990461|
-|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|0.893574|0.829463|0.773936|0.708617|0.835457|0.835425|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
+|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|0.902651|0.834675|0.776220|0.716259|0.841328|0.841297|
 
 </details>
 
@@ -370,8 +292,8 @@ This mode contains **7 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|298813|5782|0|1298538433|5782 / 1298544215|0 / 298813|
-|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|221382|13601|77431|1298530614|13601 / 1298544215|77431 / 298813|
+|1|Radixor|ALL_CANDIDATES|297487|0|0|1284770069|0 / 1284770069|0 / 297487|
+|2|HUNSPELL CZECH LUCENE FILTER|ALL_CANDIDATES|220615|10523|76872|1284759546|10523 / 1284770069|76872 / 297487|
 
 </details>
 
@@ -381,20 +303,20 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|1709|3863|1919|540|1.059488%|4|51543|
-|HUNSPELL CZECH LUCENE FILTER|10555|1211|2362|3237|6.351044%|5|54804|
+|Radixor|1669|0|0|269|0.530603%|4|50975|
+|HUNSPELL CZECH LUCENE FILTER|10498|475|1530|3117|6.148293%|5|54394|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -403,16 +325,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `CS_CZ`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/danish.md

@@ -8,20 +8,20 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `DA_DK` | 4,179 | 32,256 | 8,356 | 23,900 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `da-dk-default` | `1.0.0` | `DA_DK` | 4,179 | 32,256 | 8,356 | 23,900 | 23,900 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **32,256**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **32,256**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
-| `AppendCharacterCommand` | Appends one character to the end of the word form. | 137 | 0.425% |
+| `AppendCharacterCommand` | Appends one character to the end of the word form. | 179 | 0.555% |
 | `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 1,127 | 3.494% |
-| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 22,586 | 70.021% |
-| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 8,405 | 26.057% |
+| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 22,680 | 70.312% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 8,269 | 25.636% |
 | `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 1 | 0.003% |
 
 ## Accuracy
@@ -30,23 +30,23 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 99.371% | 99.527% | 98.923% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 99.371% | 99.527% | 98.923% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene SnowballFilter | 55.509% | 54.159% | 59.371% | Lucene TokenFilter integration path around the Snowball algorithm. |
-| Official Snowball direct | 55.509% | 54.159% | 59.371% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
+| Official Snowball direct | 55.971% | 54.791% | 59.347% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `radixor[DANISH]` | 1.143 | 0.017 | 47.8 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Official Snowball direct | `snowballDirect[DANISH]` | 2.168 | 0.058 | 90.7 | 1.896 | Official Snowball generated Java stemmer; direct API. |
-| Lucene SnowballFilter | `luceneSnowballFilter[DANISH]` | 2.975 | 0.143 | 124.5 | 2.602 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
+| Radixor | `radixor[DANISH]` | 1.146 | 0.122 | 47.9 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Official Snowball direct | `snowballDirect[DANISH]` | 2.542 | 0.179 | 106.4 | 2.219 | Official Snowball generated Java stemmer; direct API. |
+| Lucene SnowballFilter | `luceneSnowballFilter[DANISH]` | 2.879 | 0.239 | 120.4 | 2.512 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -56,29 +56,29 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `DA_DK` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `DA_DK` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/da_dk/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `da-dk-default`, loaded from classpath resource `org/egothor/stemmer/models/da-dk-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.996066** among 3 deterministic stemmers. The runner-up is `SNOWBALL DANISH LUCENE FILTER` at 0.937969, a difference of 0.058097. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.996305** among 3 deterministic stemmers. The runner-up is `SNOWBALL DANISH DIRECT` at 0.938074, a difference of 0.058230. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.996243** among 3 deterministic stemmers. The runner-up is `SNOWBALL DANISH DIRECT` at 0.942482, a difference of 0.053761. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.996482** among 3 deterministic stemmers. The runner-up is `SNOWBALL DANISH DIRECT` at 0.942383, a difference of 0.054099. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.996066|1165 / 394111186 (0.000296%)|707 / 89895 (0.786473%)|0.988108|0.989614|0.989615|
-|2|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|0.937969|6507 / 394111186 (0.001651%)|11151 / 89895 (12.404472%)|0.913718|0.899181|0.899475|
-|3|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|0.937903|6341 / 394111186 (0.001609%)|11163 / 89895 (12.417821%)|0.915090|0.899959|0.900279|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.996243|0.000000%|0.751435%|
+|2|SNOWBALL DANISH DIRECT|0.942482|0.001236%|11.502313%|
+|3|SNOWBALL DANISH LUCENE FILTER|0.937905|0.001273%|12.417638%|
 
 </div>
 
@@ -86,9 +86,9 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.987106|0.992135|0.999997|0.996066|0.999995|0.000005|
-|2|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|0.923672|0.875955|0.999983|0.937969|0.999955|0.000045|
-|3|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|0.925464|0.875822|0.999984|0.937903|0.999956|0.000044|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.992486|1.000000|0.996243|0.999998|0.000002|
+|2|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|0.942799|0.884977|0.999988|0.942482|0.999961|0.000039|
+|3|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|0.940600|0.875824|0.999987|0.937905|0.999959|0.000041|
 
 </details>
 
@@ -96,19 +96,9 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.988108|0.989614|0.991125|0.979442|0.989618|0.989615|
-|2|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|0.913718|0.899181|0.885100|0.816830|0.899498|0.899475|
-|3|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|0.915090|0.899959|0.885320|0.818114|0.900301|0.900279|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.989612|0.998466|0.998719|0.998592|0.998592|
-|2|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|0.899159|0.994053|0.978603|0.986268|0.986268|
-|3|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|0.899937|0.994196|0.978579|0.986326|0.986326|
+|1|Radixor|PRIMARY_OUTPUT|0.998488|0.996229|0.993979|0.992486|0.996236|0.996235|
+|2|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|0.930638|0.912973|0.895967|0.839881|0.913430|0.913411|
+|3|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|0.926889|0.907057|0.888055|0.829921|0.907634|0.907614|
 
 </details>
 
@@ -116,61 +106,39 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|89188|1165|707|394110021|1165 / 394111186|707 / 89895|
-|2|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|78744|6507|11151|394104679|6507 / 394111186|11151 / 89895|
-|3|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|78732|6341|11163|394104845|6341 / 394111186|11163 / 89895|
+|1|Radixor|PRIMARY_OUTPUT|89021|0|674|389687465|0 / 389687465|674 / 89695|
+|2|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|79378|4816|10317|389682649|4816 / 389687465|10317 / 89695|
+|3|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|78557|4961|11138|389682504|4961 / 389687465|11138 / 89695|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 394111186 (0.000000%)|0 / 89895 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|89895|0|0|394111186|0 / 394111186|0 / 89895|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 389687465|0 / 89695|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999998|1849 / 394111186 (0.000469%)|0 / 89895 (0.000000%)|0.983812|0.989820|0.989869|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -178,7 +146,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.979846|1.000000|0.999995|0.999998|0.999995|0.000005|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -186,15 +154,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.983812|0.989820|0.995903|0.979846|0.989872|0.989869|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -202,7 +162,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|89895|1849|0|394109337|1849 / 394111186|0 / 89895|
+|1|Radixor|ALL_CANDIDATES|89695|0|0|389687465|0 / 389687465|0 / 89695|
 
 </details>
 
@@ -212,21 +172,21 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|707|1165|684|323|1.150326%|3|28405|
+|Radixor|674|0|0|165|0.590953%|3|28087|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.996305|1165 / 392820788 (0.000297%)|663 / 89740 (0.738801%)|0.988190|0.989843|0.989845|
-|2|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|0.938074|6341 / 392820788 (0.001614%)|11113 / 89740 (12.383552%)|0.915093|0.900096|0.900410|
-|3|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|0.938074|6341 / 392820788 (0.001614%)|11113 / 89740 (12.383552%)|0.915093|0.900096|0.900410|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.996482|0.000000%|0.703596%|
+|2|SNOWBALL DANISH DIRECT|0.942383|0.001240%|11.522225%|
+|3|SNOWBALL DANISH LUCENE FILTER|0.938010|0.001235%|12.396694%|
 
 </div>
 
@@ -234,9 +194,9 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.987090|0.992612|0.999997|0.996305|0.999995|0.000005|
-|2|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|0.925372|0.876164|0.999984|0.938074|0.999956|0.000044|
-|3|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|0.925372|0.876164|0.999984|0.938074|0.999956|0.000044|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.992964|1.000000|0.996482|0.999998|0.000002|
+|2|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|0.942693|0.884778|0.999988|0.942383|0.999961|0.000039|
+|3|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|0.942392|0.876033|0.999988|0.938010|0.999959|0.000041|
 
 </details>
 
@@ -244,19 +204,9 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.988190|0.989843|0.991503|0.979891|0.989847|0.989845|
-|2|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|0.915093|0.900096|0.885583|0.818341|0.900432|0.900410|
-|3|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|0.915093|0.900096|0.885583|0.818341|0.900432|0.900410|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.989841|0.998463|0.998812|0.998637|0.998637|
-|2|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|0.900074|0.994185|0.978644|0.986354|0.986354|
-|3|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|0.900074|0.994185|0.978644|0.986354|0.986354|
+|1|Radixor|PRIMARY_OUTPUT|0.998585|0.996470|0.994363|0.992964|0.996476|0.996475|
+|2|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|0.930511|0.912818|0.895784|0.839618|0.913277|0.913257|
+|3|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|0.928328|0.908002|0.888547|0.831505|0.908607|0.908587|
 
 </details>
 
@@ -264,61 +214,39 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|89077|1165|663|392819623|1165 / 392820788|663 / 89740|
-|2|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|78627|6341|11113|392814447|6341 / 392820788|11113 / 89740|
-|3|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|78627|6341|11113|392814447|6341 / 392820788|11113 / 89740|
+|1|Radixor|PRIMARY_OUTPUT|88910|0|630|388404335|0 / 388404335|630 / 89540|
+|2|SNOWBALL DANISH DIRECT|PRIMARY_OUTPUT|79223|4816|10317|388399519|4816 / 388404335|10317 / 89540|
+|3|SNOWBALL DANISH LUCENE FILTER|PRIMARY_OUTPUT|78440|4795|11100|388399540|4795 / 388404335|11100 / 89540|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 392820788 (0.000000%)|0 / 89740 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|89740|0|0|392820788|0 / 392820788|0 / 89740|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 388404335|0 / 89540|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999998|1849 / 392820788 (0.000471%)|0 / 89740 (0.000000%)|0.983784|0.989803|0.989852|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -326,7 +254,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.979812|1.000000|0.999995|0.999998|0.999995|0.000005|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -334,15 +262,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.983784|0.989803|0.995896|0.979812|0.989855|0.989852|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -350,7 +270,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|89740|1849|0|392818939|1849 / 392820788|0 / 89740|
+|1|Radixor|ALL_CANDIDATES|89540|0|0|388404335|0 / 388404335|0 / 89540|
 
 </details>
 
@@ -360,19 +280,19 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|663|1165|684|315|1.123676%|3|28351|
+|Radixor|630|0|0|157|0.563229%|3|28033|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -381,16 +301,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `DA_DK`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/dutch.md

@@ -8,13 +8,13 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `NL_NL` | 4,992 | 31,466 | 9,981 | 21,485 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `nl-nl-default` | `1.0.0` | `NL_NL` | 4,992 | 31,466 | 9,981 | 21,485 | 21,485 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **31,466**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **31,466**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
@@ -30,25 +30,25 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 99.120% | 98.711% | 100.000% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 99.120% | 98.711% | 100.000% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene HunspellStemFilter | 46.590% | 22.718% | 97.976% | Benchmark-only Dutch Hunspell dictionary compared via Lucene HunspellStemFilter. |
 | Official Snowball direct | 15.954% | 8.992% | 30.939% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
 | Lucene SnowballFilter | 12.620% | 5.441% | 28.073% | Lucene TokenFilter integration path around the Snowball algorithm. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `radixor[DUTCH]` | 1.331 | 0.114 | 61.9 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 22.760 | 1.387 | 1059.3 | 17.105 | Benchmark-only Dutch Hunspell dictionary compared via Lucene HunspellStemFilter. |
-| Official Snowball direct | `snowballDirect[DUTCH]` | 4.146 | 0.291 | 193.0 | 3.116 | Official Snowball generated Java stemmer; direct API. |
-| Lucene SnowballFilter | `luceneSnowballFilter[DUTCH]` | 7.375 | 0.595 | 343.3 | 5.543 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
+| Radixor | `radixor[DUTCH]` | 1.340 | 0.127 | 62.4 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 22.275 | 2.325 | 1036.8 | 16.621 | Benchmark-only Dutch Hunspell dictionary compared via Lucene HunspellStemFilter. |
+| Official Snowball direct | `snowballDirect[DUTCH]` | 4.298 | 0.185 | 200.0 | 3.207 | Official Snowball generated Java stemmer; direct API. |
+| Lucene SnowballFilter | `luceneSnowballFilter[DUTCH]` | 7.317 | 0.255 | 340.6 | 5.460 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -58,30 +58,30 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `NL_NL` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `NL_NL` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/nl_nl/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `nl-nl-default`, loaded from classpath resource `org/egothor/stemmer/models/nl-nl-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.988661** among 4 deterministic stemmers. The runner-up is `SNOWBALL DUTCH DIRECT` at 0.727087, a difference of 0.261574. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.989040** among 4 deterministic stemmers. The runner-up is `SNOWBALL DUTCH DIRECT` at 0.730495, a difference of 0.258544. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.988733** among 4 deterministic stemmers. The runner-up is `SNOWBALL DUTCH DIRECT` at 0.727093, a difference of 0.261640. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.989114** among 4 deterministic stemmers. The runner-up is `SNOWBALL DUTCH DIRECT` at 0.730509, a difference of 0.258605. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.988661|1214 / 350437960 (0.000346%)|1464 / 64566 (2.267447%)|0.980362|0.979221|0.979219|
-|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|0.727087|4382 / 350437960 (0.001250%)|35241 / 64566 (54.581359%)|0.735353|0.596807|0.628557|
-|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.643123|1333 / 350437960 (0.000380%)|46084 / 64566 (71.375027%)|0.642512|0.438061|0.516674|
-|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.618497|1588 / 350437960 (0.000453%)|49264 / 64566 (76.300220%)|0.579068|0.375712|0.463333|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.988733|0.000000%|2.253364%|
+|2|SNOWBALL DUTCH DIRECT|0.727093|0.000870%|54.580443%|
+|3|HUNSPELL DUTCH LUCENE FILTER|0.642844|0.000104%|71.431010%|
+|4|SNOWBALL DUTCH LUCENE FILTER|0.617975|0.000221%|76.404861%|
 
 </div>
 
@@ -89,10 +89,10 @@ This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.981124|0.977326|0.999997|0.988661|0.999992|0.000008|
-|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|0.869997|0.454186|0.999987|0.727087|0.999887|0.000113|
-|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.932728|0.286250|0.999996|0.643123|0.999865|0.000135|
-|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.905980|0.236998|0.999995|0.618497|0.999855|0.000145|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.977466|1.000000|0.988733|0.999996|0.000004|
+|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|0.907391|0.454196|0.999991|0.727093|0.999889|0.000111|
+|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.981029|0.285690|0.999999|0.642844|0.999865|0.000135|
+|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.952453|0.235951|0.999998|0.617975|0.999854|0.000146|
 
 </details>
 
@@ -100,21 +100,10 @@ This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.980362|0.979221|0.978083|0.959289|0.979223|0.979219|
-|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|0.735353|0.596807|0.502190|0.425321|0.628602|0.628557|
-|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.642512|0.438061|0.332316|0.280459|0.516714|0.516674|
-|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.579068|0.375712|0.278062|0.231309|0.463374|0.463333|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.979217|0.997464|0.997003|0.997234|0.997234|
-|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|0.596756|0.992815|0.917346|0.953590|0.953590|
-|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.438012|0.996932|0.889026|0.939892|0.939892|
-|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.375664|0.995828|0.888410|0.939057|0.939057|
+|1|Radixor|PRIMARY_OUTPUT|0.995411|0.988605|0.981891|0.977466|0.988669|0.988667|
+|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|0.756437|0.605372|0.504600|0.434074|0.641976|0.641934|
+|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.659835|0.442513|0.332878|0.284120|0.529405|0.529368|
+|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.592568|0.378209|0.277738|0.233204|0.474060|0.474022|
 
 </details>
 
@@ -122,68 +111,43 @@ This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|63102|1214|1464|350436746|1214 / 350437960|1464 / 64566|
-|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|29325|4382|35241|350433578|4382 / 350437960|35241 / 64566|
-|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|18482|1333|46084|350436627|1333 / 350437960|46084 / 64566|
-|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|15302|1588|49264|350436372|1588 / 350437960|49264 / 64566|
+|1|Radixor|PRIMARY_OUTPUT|62985|0|1452|343168663|0 / 343168663|1452 / 64437|
+|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|29267|2987|35170|343165676|2987 / 343168663|35170 / 64437|
+|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|18409|356|46028|343168307|356 / 343168663|46028 / 64437|
+|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|15204|759|49233|343167904|759 / 343168663|49233 / 64437|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 350437960 (0.000000%)|0 / 64566 (0.000000%)|1.000000|1.000000|1.000000|
-|2|HUNSPELL DUTCH LUCENE FILTER|ANY_CANDIDATE|0.665519|1164 / 350437960 (0.000332%)|43192 / 64566 (66.895889%)|0.690741|0.490770|0.560268|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|HUNSPELL DUTCH LUCENE FILTER|0.000096%|66.975495%|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-|2|HUNSPELL DUTCH LUCENE FILTER|ANY_CANDIDATE|0.948354|0.331041|0.999997|0.665519|0.999873|0.000127|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-|2|HUNSPELL DUTCH LUCENE FILTER|ANY_CANDIDATE|0.690741|0.490770|0.380588|0.325179|0.560307|0.560268|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL DUTCH LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|64566|0|0|350437960|0 / 350437960|0 / 64566|
-|2|HUNSPELL DUTCH LUCENE FILTER|ANY_CANDIDATE|21374|1164|43192|350436796|1164 / 350437960|43192 / 64566|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|HUNSPELL DUTCH LUCENE FILTER|330 / 343168663|43157 / 64437|
+|Radixor|0 / 343168663|0 / 64437|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999996|2651 / 350437960 (0.000756%)|0 / 64566 (0.000000%)|0.968198|0.979884|0.980078|
-|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|0.665518|1738 / 350437960 (0.000496%)|43192 / 64566 (66.895889%)|0.680640|0.487557|0.553265|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
+|2|HUNSPELL DUTCH LUCENE FILTER|0.665122|0.000147%|66.975495%|
 
 </div>
 
@@ -191,8 +155,8 @@ This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.960561|1.000000|0.999992|0.999996|0.999992|0.000008|
-|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|0.924801|0.331041|0.999995|0.665518|0.999872|0.000128|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
+|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|0.976909|0.330245|0.999999|0.665122|0.999873|0.000127|
 
 </details>
 
@@ -200,17 +164,8 @@ This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.968198|0.979884|0.991855|0.960561|0.980082|0.980078|
-|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|0.680640|0.487557|0.379812|0.322364|0.553306|0.553265|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
+|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|0.701991|0.493621|0.380638|0.327687|0.567996|0.567958|
 
 </details>
 
@@ -218,8 +173,8 @@ This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|64566|2651|0|350435309|2651 / 350437960|0 / 64566|
-|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|21374|1738|43192|350436222|1738 / 350437960|43192 / 64566|
+|1|Radixor|ALL_CANDIDATES|64437|0|0|343168663|0 / 343168663|0 / 64437|
+|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|21280|503|43157|343168160|503 / 343168663|43157 / 64437|
 
 </details>
 
@@ -229,23 +184,23 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|HUNSPELL DUTCH LUCENE FILTER|2892|169|405|1254|4.736186%|3|27763|
-|Radixor|1464|1214|1437|572|2.160366%|3|27061|
+|HUNSPELL DUTCH LUCENE FILTER|2871|26|147|1199|4.576161%|3|27429|
+|Radixor|1452|0|0|296|1.129728%|3|26501|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.989040|1214 / 329603856 (0.000368%)|1384 / 63147 (2.191711%)|0.980194|0.979401|0.979398|
-|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|0.730495|4382 / 329603856 (0.001329%)|34036 / 63147 (53.899631%)|0.738412|0.602463|0.632953|
-|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.645159|1310 / 329603856 (0.000397%)|44814 / 63147 (70.967742%)|0.646808|0.442880|0.520498|
-|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.618546|1544 / 329603856 (0.000468%)|48175 / 63147 (76.290243%)|0.579362|0.375883|0.463566|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.989114|0.000000%|2.177156%|
+|2|SNOWBALL DUTCH DIRECT|0.730509|0.000926%|53.897299%|
+|3|HUNSPELL DUTCH LUCENE FILTER|0.644879|0.000103%|71.024152%|
+|4|SNOWBALL DUTCH LUCENE FILTER|0.618013|0.000222%|76.397220%|
 
 </div>
 
@@ -253,10 +208,10 @@ This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.980723|0.978083|0.999996|0.989040|0.999992|0.000008|
-|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|0.869167|0.461004|0.999987|0.730495|0.999883|0.000117|
-|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.933310|0.290323|0.999996|0.645159|0.999860|0.000140|
-|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.906515|0.237098|0.999995|0.618546|0.999849|0.000151|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.978228|1.000000|0.989114|0.999996|0.000004|
+|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|0.906773|0.461027|0.999991|0.730509|0.999885|0.000115|
+|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.982090|0.289758|0.999999|0.644879|0.999860|0.000140|
+|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.954134|0.236028|0.999998|0.618013|0.999849|0.000151|
 
 </details>
 
@@ -264,21 +219,10 @@ This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.980194|0.979401|0.978610|0.959634|0.979402|0.979398|
-|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|0.738412|0.602463|0.508789|0.431089|0.633000|0.632953|
-|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.646808|0.442880|0.336718|0.284422|0.520539|0.520498|
-|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.579362|0.375883|0.278182|0.231439|0.463608|0.463566|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.979397|0.997373|0.997139|0.997256|0.997256|
-|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|0.602410|0.992557|0.918059|0.953856|0.953856|
-|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.442829|0.996884|0.889061|0.939890|0.939890|
-|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.375834|0.995817|0.887492|0.938539|0.938539|
+|1|Radixor|PRIMARY_OUTPUT|0.995569|0.988994|0.982507|0.978228|0.989054|0.989052|
+|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|0.759842|0.611269|0.511295|0.440164|0.646565|0.646521|
+|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.664532|0.447489|0.337317|0.288235|0.533450|0.533411|
+|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|0.593185|0.378440|0.277851|0.233380|0.474555|0.474515|
 
 </details>
 
@@ -286,68 +230,43 @@ This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|61763|1214|1384|329602642|1214 / 329603856|1384 / 63147|
-|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|29111|4382|34036|329599474|4382 / 329603856|34036 / 63147|
-|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|18333|1310|44814|329602546|1310 / 329603856|44814 / 63147|
-|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|14972|1544|48175|329602312|1544 / 329603856|48175 / 63147|
+|1|Radixor|PRIMARY_OUTPUT|61646|0|1372|322555083|0 / 322555083|1372 / 63018|
+|2|SNOWBALL DUTCH DIRECT|PRIMARY_OUTPUT|29053|2987|33965|322552096|2987 / 322555083|33965 / 63018|
+|3|HUNSPELL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|18260|333|44758|322554750|333 / 322555083|44758 / 63018|
+|4|SNOWBALL DUTCH LUCENE FILTER|PRIMARY_OUTPUT|14874|715|48144|322554368|715 / 322555083|48144 / 63018|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 329603856 (0.000000%)|0 / 63147 (0.000000%)|1.000000|1.000000|1.000000|
-|2|HUNSPELL DUTCH LUCENE FILTER|ANY_CANDIDATE|0.667956|1141 / 329603856 (0.000346%)|41935 / 63147 (66.408539%)|0.695206|0.496187|0.564555|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|HUNSPELL DUTCH LUCENE FILTER|0.000095%|66.488940%|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-|2|HUNSPELL DUTCH LUCENE FILTER|ANY_CANDIDATE|0.948955|0.335915|0.999997|0.667956|0.999869|0.000131|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-|2|HUNSPELL DUTCH LUCENE FILTER|ANY_CANDIDATE|0.695206|0.496187|0.385755|0.329953|0.564595|0.564555|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL DUTCH LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|63147|0|0|329603856|0 / 329603856|0 / 63147|
-|2|HUNSPELL DUTCH LUCENE FILTER|ANY_CANDIDATE|21212|1141|41935|329602715|1141 / 329603856|41935 / 63147|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|HUNSPELL DUTCH LUCENE FILTER|307 / 322555083|41900 / 63018|
+|Radixor|0 / 322555083|0 / 63018|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999996|2651 / 329603856 (0.000804%)|0 / 63147 (0.000000%)|0.967506|0.979441|0.979644|
-|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|0.667955|1712 / 329603856 (0.000519%)|41935 / 63147 (66.408539%)|0.684952|0.492895|0.557477|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
+|2|HUNSPELL DUTCH LUCENE FILTER|0.667555|0.000148%|66.488940%|
 
 </div>
 
@@ -355,8 +274,8 @@ This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.959710|1.000000|0.999992|0.999996|0.999992|0.000008|
-|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|0.925318|0.335915|0.999995|0.667955|0.999868|0.000132|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
+|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|0.977912|0.335111|0.999999|0.667555|0.999869|0.000131|
 
 </details>
 
@@ -364,17 +283,8 @@ This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.967506|0.979441|0.991674|0.959710|0.979648|0.979644|
-|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|0.684952|0.492895|0.384956|0.327048|0.557519|0.557477|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
+|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|0.706770|0.499167|0.385834|0.332593|0.572458|0.572419|
 
 </details>
 
@@ -382,8 +292,8 @@ This mode contains **8 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|63147|2651|0|329601205|2651 / 329603856|0 / 63147|
-|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|21212|1712|41935|329602144|1712 / 329603856|41935 / 63147|
+|1|Radixor|ALL_CANDIDATES|63018|0|0|322555083|0 / 322555083|0 / 63018|
+|2|HUNSPELL DUTCH LUCENE FILTER|ALL_CANDIDATES|21118|477|41900|322554606|477 / 322555083|41900 / 63018|
 
 </details>
 
@@ -393,20 +303,20 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|HUNSPELL DUTCH LUCENE FILTER|2879|169|402|1186|4.618740%|3|26896|
-|Radixor|1384|1214|1437|549|2.138017%|3|26239|
+|HUNSPELL DUTCH LUCENE FILTER|2858|26|144|1131|4.452405%|3|26562|
+|Radixor|1372|0|0|273|1.074719%|3|25679|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -415,16 +325,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `NL_NL`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/english.md

@@ -8,21 +8,21 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `US_UK` | 396,939 | 1,004,374 | 793,874 | 210,500 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `us-uk-default` | `1.0.0` | `US_UK` | 396,939 | 1,004,374 | 793,874 | 210,500 | 210,500 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **1,004,374**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **1,004,374**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
-| `AppendCharacterCommand` | Appends one character to the end of the word form. | 28 | 0.003% |
-| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 22,493 | 2.240% |
-| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 186,764 | 18.595% |
-| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 795,024 | 79.156% |
-| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 65 | 0.006% |
+| `AppendCharacterCommand` | Appends one character to the end of the word form. | 73 | 0.007% |
+| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 22,481 | 2.238% |
+| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 202,637 | 20.175% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 779,106 | 77.571% |
+| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 77 | 0.008% |
 
 ## Accuracy
 
@@ -30,12 +30,12 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 97.478% | 97.197% | 97.552% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 97.478% | 97.197% | 97.552% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene EnglishMinimalStemFilter | 90.981% | 65.189% | 97.820% | Minimal English plural reduction, not a full stemmer. |
 | Lucene KStemFilter | 80.076% | 76.608% | 80.996% | Krovetz-style English stemming TokenFilter; broader than minimal suffix reducers. |
 | Lucene HunspellStemFilter | 80.243% | 12.750% | 98.139% | Benchmark-only English Hunspell dictionary compared via Lucene HunspellStemFilter. |
 | Lucene EnglishPossessiveFilter | 79.032% | 0.003% | 99.987% | Possessive-ending remover only, not a full stemmer. |
-| Snowball English / Porter2 | 40.342% | 46.296% | 38.763% | Porter2 rule-based suffix stemmer, distinct from original Porter. |
+| Snowball English / Porter2 | 40.346% | 46.302% | 38.767% | Porter2 rule-based suffix stemmer, distinct from original Porter. |
 | Lucene PorterStemFilter | 39.538% | 46.201% | 37.772% | Lucene TokenFilter path for Porter suffix rules; not dictionary-root equivalent. |
 | Lucene PorterStemmer direct copy | 39.538% | 46.201% | 37.772% | Direct Porter suffix-rule implementation generated under build for benchmark-only use. |
 | OpenNLP PorterStemmer | 39.538% | 46.201% | 37.772% | Apache OpenNLP Porter suffix-rule implementation. |
@@ -44,25 +44,25 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `radixorUsUkProfiPreferredStem` | 21.987 | 8.707 | 104.5 | 1.000 | Full dictionary patch-command stemmer using compiled patch commands. |
-| Lucene EnglishPossessiveFilter | `luceneEnglishPossessiveFilter` | 24.539 | 1.515 | 116.6 | 1.116 | Possessive-ending remover only; not a full stemmer. |
-| Lucene EnglishMinimalStemFilter | `luceneEnglishMinimalStemFilter` | 22.702 | 1.195 | 107.8 | 1.032 | Narrow plural reduction filter; not a full stemmer. |
-| Lucene PorterStemmer direct copy | `lucenePorterStemmerCopied` | 24.696 | 13.235 | 117.3 | 1.123 | Benchmark-only generated copy of Lucene package-private Porter implementation. |
-| OpenNLP PorterStemmer | `opennlpPorterStemmer` | 23.121 | 12.528 | 109.8 | 1.052 | Apache OpenNLP Porter implementation. |
-| Snowball original Porter | `snowballOriginalPorter` | 38.904 | 10.353 | 184.8 | 1.769 | Classic Porter suffix-rule stemmer; historical English baseline, not a dictionary-equivalent stemmer. |
-| Lucene PorterStemFilter | `lucenePorterStemFilter` | 37.021 | 1.196 | 175.9 | 1.684 | Lucene TokenFilter integration path for Porter; includes TokenStream overhead. |
-| Lucene KStemFilter | `luceneKStemFilter` | 51.640 | 2.591 | 245.3 | 2.349 | Krovetz-style English TokenFilter; broader than minimal suffix filters. |
-| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 79.785 | 1.347 | 379.0 | 3.629 | Benchmark-only English Hunspell comparison using the benchmark Hunspell corpus. |
-| Snowball English / Porter2 | `snowballEnglishPorter2` | 52.437 | 0.773 | 249.1 | 2.385 | Porter2 suffix-rule stemmer, distinct from original Porter. |
-| Paice/Husk Lancaster | `paiceHuskLancaster` | 141.556 | 12.324 | 672.5 | 6.438 | Aggressive rule-based English stemmer. |
+| Radixor | `radixorUsUkProfiPreferredStem` | 14.397 | 0.915 | 68.4 | 1.000 | Full dictionary patch-command stemmer using compiled patch commands. |
+| Lucene EnglishPossessiveFilter | `luceneEnglishPossessiveFilter` | 15.034 | 0.322 | 71.4 | 1.044 | Possessive-ending remover only; not a full stemmer. |
+| Lucene EnglishMinimalStemFilter | `luceneEnglishMinimalStemFilter` | 16.352 | 0.244 | 77.7 | 1.136 | Narrow plural reduction filter; not a full stemmer. |
+| Lucene PorterStemmer direct copy | `lucenePorterStemmerCopied` | 16.491 | 0.149 | 78.3 | 1.145 | Benchmark-only generated copy of Lucene package-private Porter implementation. |
+| OpenNLP PorterStemmer | `opennlpPorterStemmer` | 16.481 | 0.175 | 78.3 | 1.145 | Apache OpenNLP Porter implementation. |
+| Snowball original Porter | `snowballOriginalPorter` | 30.634 | 1.620 | 145.5 | 2.128 | Classic Porter suffix-rule stemmer; historical English baseline, not a dictionary-equivalent stemmer. |
+| Lucene PorterStemFilter | `lucenePorterStemFilter` | 29.666 | 0.536 | 140.9 | 2.061 | Lucene TokenFilter integration path for Porter; includes TokenStream overhead. |
+| Lucene KStemFilter | `luceneKStemFilter` | 41.485 | 0.509 | 197.1 | 2.882 | Krovetz-style English TokenFilter; broader than minimal suffix filters. |
+| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 74.399 | 1.223 | 353.4 | 5.168 | Benchmark-only English Hunspell comparison using the benchmark Hunspell corpus. |
+| Snowball English / Porter2 | `snowballEnglishPorter2` | 43.117 | 1.983 | 204.8 | 2.995 | Porter2 suffix-rule stemmer, distinct from original Porter. |
+| Paice/Husk Lancaster | `paiceHuskLancaster` | 137.952 | 2.443 | 655.4 | 9.582 | Aggressive rule-based English stemmer. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -72,37 +72,37 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `US_UK` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `US_UK` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/us_uk/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `us-uk-default`, loaded from classpath resource `org/egothor/stemmer/models/us-uk-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.965159** among 11 deterministic stemmers. The runner-up is `ENGLISH LUCENE PORTER COPIED` at 0.954627, a difference of 0.010533. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.965820** among 11 deterministic stemmers. The runner-up is `ENGLISH LUCENE PORTER COPIED` at 0.954900, a difference of 0.010920. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.965537** among 11 deterministic stemmers. The runner-up is `ENGLISH LUCENE PORTER COPIED` at 0.954796, a difference of 0.010741. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.966202** among 11 deterministic stemmers. The runner-up is `ENGLISH LUCENE PORTER COPIED` at 0.955064, a difference of 0.011139. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.965159|1149886 / 184490451771 (0.000623%)|21869 / 313870 (6.967534%)|0.240076|0.332621|0.434052|
-|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|0.954627|1557406 / 184490451771 (0.000844%)|28480 / 313870 (9.073820%)|0.185679|0.264659|0.375252|
-|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|0.954627|1557406 / 184490451771 (0.000844%)|28480 / 313870 (9.073820%)|0.185679|0.264659|0.375252|
-|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|0.954627|1557406 / 184490451771 (0.000844%)|28480 / 313870 (9.073820%)|0.185679|0.264659|0.375252|
-|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|0.954537|1566711 / 184490451771 (0.000849%)|28536 / 313870 (9.091662%)|0.184753|0.263477|0.374240|
-|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|0.954490|1555293 / 184490451771 (0.000843%)|28566 / 313870 (9.101220%)|0.185835|0.264849|0.375363|
-|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|0.952394|3062661 / 184490451771 (0.001660%)|29879 / 313870 (9.519546%)|0.103643|0.155164|0.277089|
-|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|0.878441|1368501 / 184490451771 (0.000742%)|76305 / 313870 (24.311020%)|0.176284|0.247472|0.334598|
-|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|0.718599|1122264 / 184490451771 (0.000608%)|176645 / 313870 (56.279670%)|0.128204|0.174436|0.218251|
-|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|0.573277|1981986 / 184490451771 (0.001074%)|267868 / 313870 (85.343614%)|0.027298|0.039287|0.057655|
-|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|0.500008|1115154 / 184490451771 (0.000604%)|313863 / 313870 (99.997770%)|0.000007|0.000010|0.000009|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.965537|&lt;0.000001%|6.892502%|
+|2|ENGLISH LUCENE PORTER COPIED|0.954796|0.000207%|9.040545%|
+|3|ENGLISH LUCENE PORTER FILTER|0.954796|0.000207%|9.040545%|
+|4|ENGLISH OPENNLP PORTER|0.954796|0.000207%|9.040545%|
+|5|ENGLISH SNOWBALL PORTER2|0.954732|0.000212%|9.053310%|
+|6|ENGLISH SNOWBALL ORIGINAL PORTER|0.954659|0.000206%|9.067990%|
+|7|ENGLISH PAICE HUSK LANCASTER|0.952535|0.000960%|9.492110%|
+|8|ENGLISH LUCENE KSTEM FILTER|0.878645|0.000110%|24.270875%|
+|9|ENGLISH LUCENE MINIMAL FILTER|0.718958|0.000001%|56.208454%|
+|10|HUNSPELL ENGLISH LUCENE FILTER|0.573139|0.000012%|85.372182%|
+|11|ENGLISH LUCENE POSSESSIVE FILTER|0.500011|&lt;0.000001%|99.997766%|
 
 </div>
 
@@ -110,17 +110,17 @@ This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.202513|0.930325|0.999994|0.965159|0.999994|0.000006|
-|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|0.154868|0.909262|0.999992|0.954627|0.999991|0.000009|
-|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|0.154868|0.909262|0.999992|0.954627|0.999991|0.000009|
-|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|0.154868|0.909262|0.999992|0.954627|0.999991|0.000009|
-|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|0.154064|0.909083|0.999992|0.954537|0.999991|0.000009|
-|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|0.155006|0.908988|0.999992|0.954490|0.999991|0.000009|
-|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|0.084858|0.904805|0.999983|0.952394|0.999983|0.000017|
-|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|0.147917|0.756890|0.999993|0.878441|0.999992|0.000008|
-|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|0.108953|0.437203|0.999994|0.718599|0.999993|0.000007|
-|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|0.022684|0.146564|0.999989|0.573277|0.999988|0.000012|
-|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|0.000006|0.000022|0.999994|0.500008|0.999992|0.000008|
+|1|Radixor|PRIMARY_OUTPUT|0.999990|0.931075|1.000000|0.965537|1.000000|0.000000|
+|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|0.440121|0.909595|0.999998|0.954796|0.999998|0.000002|
+|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|0.440121|0.909595|0.999998|0.954796|0.999998|0.000002|
+|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|0.440121|0.909595|0.999998|0.954796|0.999998|0.000002|
+|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|0.434309|0.909467|0.999998|0.954732|0.999998|0.000002|
+|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|0.441440|0.909320|0.999998|0.954659|0.999998|0.000002|
+|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|0.144284|0.905079|0.999990|0.952535|0.999990|0.000010|
+|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|0.551014|0.757291|0.999999|0.878645|0.999998|0.000002|
+|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|0.989894|0.437915|1.000000|0.718958|0.999999|0.000001|
+|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|0.681277|0.146278|1.000000|0.573139|0.999998|0.000002|
+|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|0.148936|0.000022|1.000000|0.500011|0.999998|0.000002|
 
 </details>
 
@@ -128,35 +128,17 @@ This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.240076|0.332621|0.541270|0.199487|0.434054|0.434052|
-|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|0.185679|0.264659|0.460563|0.152511|0.375254|0.375252|
-|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|0.185679|0.264659|0.460563|0.152511|0.375254|0.375252|
-|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|0.185679|0.264659|0.460563|0.152511|0.375254|0.375252|
-|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|0.184753|0.263477|0.459102|0.151727|0.374242|0.374240|
-|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|0.185835|0.264849|0.460751|0.152637|0.375365|0.375363|
-|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|0.103643|0.155164|0.308543|0.084107|0.277092|0.277089|
-|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|0.176284|0.247472|0.415099|0.141208|0.334600|0.334598|
-|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|0.128204|0.174436|0.272816|0.095552|0.218253|0.218251|
-|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|0.027298|0.039287|0.070051|0.020037|0.057659|0.057655|
-|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|0.000007|0.000010|0.000015|0.000005|0.000012|0.000009|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.332619|0.994215|0.997770|0.995989|0.995989|
-|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|0.264656|0.969648|0.997199|0.983231|0.983231|
-|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|0.264656|0.969648|0.997199|0.983231|0.983231|
-|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|0.264656|0.969648|0.997199|0.983231|0.983231|
-|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|0.263474|0.969037|0.997182|0.982908|0.982908|
-|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|0.264847|0.969891|0.997193|0.983353|0.983353|
-|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|0.155162|0.937768|0.996600|0.966289|0.966289|
-|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|0.247470|0.980687|0.992108|0.986364|0.986364|
-|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|0.174433|0.995202|0.981174|0.988138|0.988138|
-|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|0.039284|0.993096|0.963677|0.978166|0.978166|
-|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|0.000007|0.995789|0.958019|0.976539|0.976539|
+|1|Radixor|PRIMARY_OUTPUT|0.985403|0.964303|0.944087|0.931066|0.964917|0.964917|
+|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|0.490783|0.593208|0.749662|0.421675|0.632717|0.632716|
+|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|0.490783|0.593208|0.749662|0.421675|0.632717|0.632716|
+|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|0.490783|0.593208|0.749662|0.421675|0.632717|0.632716|
+|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|0.484986|0.587880|0.746192|0.416310|0.628482|0.628481|
+|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|0.492079|0.594348|0.750277|0.422827|0.633570|0.633569|
+|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|0.173443|0.248891|0.440518|0.142133|0.361370|0.361368|
+|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|0.582762|0.637891|0.704541|0.468312|0.645971|0.645970|
+|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|0.790591|0.607210|0.492883|0.435966|0.658399|0.658399|
+|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|0.393465|0.240844|0.173533|0.136909|0.315683|0.315683|
+|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|0.000112|0.000045|0.000028|0.000022|0.001824|0.001824|
 
 </details>
 
@@ -164,75 +146,50 @@ This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|292001|1149886|21869|184489301885|1149886 / 184490451771|21869 / 313870|
-|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|285390|1557406|28480|184488894365|1557406 / 184490451771|28480 / 313870|
-|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|285390|1557406|28480|184488894365|1557406 / 184490451771|28480 / 313870|
-|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|285390|1557406|28480|184488894365|1557406 / 184490451771|28480 / 313870|
-|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|285334|1566711|28536|184488885060|1566711 / 184490451771|28536 / 313870|
-|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|285304|1555293|28566|184488896478|1555293 / 184490451771|28566 / 313870|
-|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|283991|3062661|29879|184487389110|3062661 / 184490451771|29879 / 313870|
-|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|237565|1368501|76305|184489083270|1368501 / 184490451771|76305 / 313870|
-|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|137225|1122264|176645|184489329507|1122264 / 184490451771|176645 / 313870|
-|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|46002|1981986|267868|184488469785|1981986 / 184490451771|267868 / 313870|
-|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|7|1115154|313863|184489336617|1115154 / 184490451771|313863 / 313870|
+|1|Radixor|PRIMARY_OUTPUT|291757|3|21598|175199424127|3 / 175199424130|21598 / 313355|
+|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|285026|362583|28329|175199061547|362583 / 175199424130|28329 / 313355|
+|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|285026|362583|28329|175199061547|362583 / 175199424130|28329 / 313355|
+|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|285026|362583|28329|175199061547|362583 / 175199424130|28329 / 313355|
+|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|284986|371197|28369|175199052933|371197 / 175199424130|28369 / 313355|
+|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|284940|360538|28415|175199063592|360538 / 175199424130|28415 / 313355|
+|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|283611|1682034|29744|175197742096|1682034 / 175199424130|29744 / 313355|
+|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|237301|193361|76054|175199230769|193361 / 175199424130|76054 / 313355|
+|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|137223|1401|176132|175199422729|1401 / 175199424130|176132 / 313355|
+|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|45837|21444|267518|175199402686|21444 / 175199424130|267518 / 313355|
+|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|7|40|313348|175199424090|40 / 175199424130|313348 / 313355|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|0.999976|12 / 184490451771 (0.000000%)|15 / 313870 (0.004779%)|0.999960|0.999957|0.999957|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ANY_CANDIDATE|0.581603|1978852 / 184490451771 (0.001073%)|262641 / 313870 (83.678274%)|0.030370|0.043712|0.064174|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.004787%|
+|HUNSPELL ENGLISH LUCENE FILTER|0.000012%|83.719424%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|0.999962|0.999952|1.000000|0.999976|1.000000|0.000000|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ANY_CANDIDATE|0.025235|0.163217|0.999989|0.581603|0.999988|0.000012|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|0.999960|0.999957|0.999954|0.999914|0.999957|0.999957|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ANY_CANDIDATE|0.030370|0.043712|0.077961|0.022344|0.064178|0.064174|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|313855|12|15|184490451759|12 / 184490451771|15 / 313870|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ANY_CANDIDATE|51229|1978852|262641|184488472919|1978852 / 184490451771|262641 / 313870|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 175199424130|15 / 313355|
+|HUNSPELL ENGLISH LUCENE FILTER|20367 / 175199424130|262339 / 313355|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999945|11482166 / 184490451771 (0.006224%)|15 / 313870 (0.004779%)|0.033039|0.051834|0.163107|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|0.581603|2008917 / 184490451771 (0.001089%)|262641 / 313870 (83.678274%)|0.029943|0.043158|0.063704|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.999976|&lt;0.000001%|0.004787%|
+|2|HUNSPELL ENGLISH LUCENE FILTER|0.581403|0.000022%|83.719424%|
 
 </div>
 
@@ -240,8 +197,8 @@ This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.026607|0.999952|0.999938|0.999945|0.999938|0.000062|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|0.024867|0.163217|0.999989|0.581603|0.999988|0.000012|
+|1|Radixor|ALL_CANDIDATES|0.999825|0.999952|1.000000|0.999976|1.000000|0.000000|
+|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|0.568132|0.162806|1.000000|0.581403|0.999998|0.000002|
 
 </details>
 
@@ -249,17 +206,8 @@ This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.033039|0.051834|0.120237|0.026607|0.163112|0.163107|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|0.029943|0.043158|0.077254|0.022055|0.063708|0.063704|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|0.999850|0.999888|0.999927|0.999777|0.999888|0.999888|
+|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|0.379279|0.253086|0.189902|0.144876|0.304130|0.304130|
 
 </details>
 
@@ -267,8 +215,8 @@ This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|313855|11482166|15|184478969605|11482166 / 184490451771|15 / 313870|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|51229|2008917|262641|184488442854|2008917 / 184490451771|262641 / 313870|
+|1|Radixor|ALL_CANDIDATES|313340|55|15|175199424075|55 / 175199424130|15 / 313355|
+|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|51016|38780|262339|175199385350|38780 / 175199424130|262339 / 313355|
 
 </details>
 
@@ -278,30 +226,30 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|21854|1149874|10332280|29208|4.808384%|1355|2838145|
-|HUNSPELL ENGLISH LUCENE FILTER|5227|3134|26931|6837|1.125545%|4|614296|
+|Radixor|21583|3|52|13718|2.317441%|1355|607918|
+|HUNSPELL ENGLISH LUCENE FILTER|5179|1077|17336|5736|0.969007%|4|597698|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.965820|1148489 / 170474840204 (0.000674%)|21319 / 311891 (6.835401%)|0.239424|0.331902|0.433722|
-|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|0.954900|1552702 / 170474840204 (0.000911%)|28130 / 311891 (9.019177%)|0.185277|0.264166|0.374937|
-|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|0.954900|1552702 / 170474840204 (0.000911%)|28130 / 311891 (9.019177%)|0.185277|0.264166|0.374937|
-|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|0.954900|1552702 / 170474840204 (0.000911%)|28130 / 311891 (9.019177%)|0.185277|0.264166|0.374937|
-|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|0.954850|1561891 / 170474840204 (0.000916%)|28161 / 311891 (9.029116%)|0.184375|0.263016|0.373964|
-|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|0.954762|1550615 / 170474840204 (0.000910%)|28216 / 311891 (9.046750%)|0.185431|0.264353|0.375045|
-|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|0.952710|3045870 / 170474840204 (0.001787%)|29493 / 311891 (9.456188%)|0.103633|0.155157|0.277170|
-|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|0.880820|1367069 / 170474840204 (0.000802%)|74340 / 311891 (23.835250%)|0.176477|0.247899|0.335789|
-|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|0.719516|1120871 / 170474840204 (0.000657%)|174959 / 311891 (56.096200%)|0.128139|0.174470|0.218621|
-|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|0.573619|1978041 / 170474840204 (0.001160%)|265965 / 311891 (85.274984%)|0.027312|0.039323|0.057799|
-|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|0.500005|1113773 / 170474840204 (0.000653%)|311886 / 311891 (99.998397%)|0.000005|0.000007|0.000005|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.966202|&lt;0.000001%|6.759543%|
+|2|ENGLISH LUCENE PORTER COPIED|0.955064|0.000222%|8.987032%|
+|3|ENGLISH LUCENE PORTER FILTER|0.955064|0.000222%|8.987032%|
+|4|ENGLISH OPENNLP PORTER|0.955064|0.000222%|8.987032%|
+|5|ENGLISH SNOWBALL PORTER2|0.955040|0.000228%|8.991849%|
+|6|ENGLISH SNOWBALL ORIGINAL PORTER|0.954926|0.000221%|9.014651%|
+|7|ENGLISH PAICE HUSK LANCASTER|0.952850|0.001032%|9.428933%|
+|8|ENGLISH LUCENE KSTEM FILTER|0.881028|0.000120%|23.794246%|
+|9|ENGLISH LUCENE MINIMAL FILTER|0.719875|0.000001%|56.025075%|
+|10|HUNSPELL ENGLISH LUCENE FILTER|0.573484|0.000012%|85.303261%|
+|11|ENGLISH LUCENE POSSESSIVE FILTER|0.500008|&lt;0.000001%|99.998394%|
 
 </div>
 
@@ -309,17 +257,17 @@ This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.201918|0.931646|0.999993|0.965820|0.999993|0.000007|
-|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|0.154515|0.909808|0.999991|0.954900|0.999991|0.000009|
-|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|0.154515|0.909808|0.999991|0.954900|0.999991|0.000009|
-|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|0.154515|0.909808|0.999991|0.954900|0.999991|0.000009|
-|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|0.153731|0.909709|0.999991|0.954850|0.999991|0.000009|
-|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|0.154651|0.909532|0.999991|0.954762|0.999991|0.000009|
-|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|0.084848|0.905438|0.999982|0.952710|0.999982|0.000018|
-|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|0.148042|0.761647|0.999992|0.880820|0.999992|0.000008|
-|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|0.108866|0.439038|0.999993|0.719516|0.999992|0.000008|
-|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|0.022691|0.147250|0.999988|0.573619|0.999987|0.000013|
-|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|0.000004|0.000016|0.999993|0.500005|0.999992|0.000008|
+|1|Radixor|PRIMARY_OUTPUT|0.999990|0.932405|1.000000|0.966202|1.000000|0.000000|
+|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|0.440920|0.910130|0.999998|0.955064|0.999998|0.000002|
+|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|0.440920|0.910130|0.999998|0.955064|0.999998|0.000002|
+|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|0.440920|0.910130|0.999998|0.955064|0.999998|0.000002|
+|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|0.435153|0.910082|0.999998|0.955040|0.999998|0.000002|
+|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|0.442235|0.909853|0.999998|0.954926|0.999998|0.000002|
+|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|0.144700|0.905711|0.999990|0.952850|0.999990|0.000010|
+|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|0.551013|0.762058|0.999999|0.881028|0.999998|0.000002|
+|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|0.989965|0.439749|1.000000|0.719875|0.999999|0.000001|
+|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|0.700136|0.146967|1.000000|0.573484|0.999998|0.000002|
+|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|0.121951|0.000016|1.000000|0.500008|0.999998|0.000002|
 
 </details>
 
@@ -327,35 +275,17 @@ This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.239424|0.331902|0.540775|0.198970|0.433723|0.433722|
-|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|0.185277|0.264166|0.460049|0.152184|0.374939|0.374937|
-|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|0.185277|0.264166|0.460049|0.152184|0.374939|0.374937|
-|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|0.185277|0.264166|0.460049|0.152184|0.374939|0.374937|
-|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|0.184375|0.263016|0.458637|0.151421|0.373966|0.373964|
-|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|0.185431|0.264353|0.460234|0.152308|0.375047|0.375045|
-|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|0.103633|0.155157|0.308576|0.084103|0.277173|0.277170|
-|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|0.176477|0.247899|0.416437|0.141487|0.335791|0.335789|
-|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|0.128139|0.174470|0.273277|0.095572|0.218624|0.218621|
-|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|0.027312|0.039323|0.070190|0.020056|0.057804|0.057799|
-|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|0.000005|0.000007|0.000011|0.000004|0.000008|0.000005|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.331900|0.993959|0.997731|0.995842|0.995842|
-|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|0.264164|0.968645|0.997109|0.982671|0.982671|
-|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|0.264164|0.968645|0.997109|0.982671|0.982671|
-|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|0.264164|0.968645|0.997109|0.982671|0.982671|
-|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|0.263014|0.968020|0.997096|0.982343|0.982343|
-|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|0.264351|0.968894|0.997102|0.982795|0.982795|
-|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|0.155154|0.936077|0.996487|0.965338|0.965338|
-|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|0.247897|0.979822|0.991991|0.985869|0.985869|
-|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|0.174467|0.994994|0.980520|0.987704|0.987704|
-|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|0.039320|0.993066|0.962317|0.977450|0.977450|
-|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|0.000004|0.995605|0.956423|0.975621|0.975621|
+|1|Radixor|PRIMARY_OUTPUT|0.985700|0.965015|0.945181|0.932396|0.965606|0.965606|
+|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|0.491609|0.594049|0.750417|0.422524|0.633478|0.633477|
+|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|0.491609|0.594049|0.750417|0.422524|0.633478|0.633477|
+|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|0.491609|0.594049|0.750417|0.422524|0.633478|0.633477|
+|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|0.485863|0.588782|0.747021|0.417215|0.629305|0.629304|
+|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|0.492900|0.595181|0.751027|0.423671|0.634326|0.634325|
+|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|0.173928|0.249533|0.441413|0.142553|0.362017|0.362015|
+|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|0.583322|0.639575|0.707836|0.470129|0.648000|0.647999|
+|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|0.791820|0.608984|0.494744|0.437798|0.659800|0.659800|
+|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|0.399444|0.242939|0.174549|0.138264|0.320776|0.320775|
+|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|0.000080|0.000032|0.000020|0.000016|0.001399|0.001399|
 
 </details>
 
@@ -363,75 +293,50 @@ This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|290572|1148489|21319|170473691715|1148489 / 170474840204|21319 / 311891|
-|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|283761|1552702|28130|170473287502|1552702 / 170474840204|28130 / 311891|
-|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|283761|1552702|28130|170473287502|1552702 / 170474840204|28130 / 311891|
-|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|283761|1552702|28130|170473287502|1552702 / 170474840204|28130 / 311891|
-|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|283730|1561891|28161|170473278313|1561891 / 170474840204|28161 / 311891|
-|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|283675|1550615|28216|170473289589|1550615 / 170474840204|28216 / 311891|
-|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|282398|3045870|29493|170471794334|3045870 / 170474840204|29493 / 311891|
-|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|237551|1367069|74340|170473473135|1367069 / 170474840204|74340 / 311891|
-|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|136932|1120871|174959|170473719333|1120871 / 170474840204|174959 / 311891|
-|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|45926|1978041|265965|170472862163|1978041 / 170474840204|265965 / 311891|
-|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|5|1113773|311886|170473726431|1113773 / 170474840204|311886 / 311891|
+|1|Radixor|PRIMARY_OUTPUT|290334|3|21048|161561989635|3 / 161561989638|21048 / 311382|
+|2|ENGLISH LUCENE PORTER COPIED|PRIMARY_OUTPUT|283398|359344|27984|161561630294|359344 / 161561989638|27984 / 311382|
+|3|ENGLISH LUCENE PORTER FILTER|PRIMARY_OUTPUT|283398|359344|27984|161561630294|359344 / 161561989638|27984 / 311382|
+|4|ENGLISH OPENNLP PORTER|PRIMARY_OUTPUT|283398|359344|27984|161561630294|359344 / 161561989638|27984 / 311382|
+|5|ENGLISH SNOWBALL PORTER2|PRIMARY_OUTPUT|283383|367843|27999|161561621795|367843 / 161561989638|27999 / 311382|
+|6|ENGLISH SNOWBALL ORIGINAL PORTER|PRIMARY_OUTPUT|283312|357325|28070|161561632313|357325 / 161561989638|28070 / 311382|
+|7|ENGLISH PAICE HUSK LANCASTER|PRIMARY_OUTPUT|282022|1666990|29360|161560322648|1666990 / 161561989638|29360 / 311382|
+|8|ENGLISH LUCENE KSTEM FILTER|PRIMARY_OUTPUT|237291|193354|74091|161561796284|193354 / 161561989638|74091 / 311382|
+|9|ENGLISH LUCENE MINIMAL FILTER|PRIMARY_OUTPUT|136930|1388|174452|161561988250|1388 / 161561989638|174452 / 311382|
+|10|HUNSPELL ENGLISH LUCENE FILTER|PRIMARY_OUTPUT|45763|19600|265619|161561970038|19600 / 161561989638|265619 / 311382|
+|11|ENGLISH LUCENE POSSESSIVE FILTER|PRIMARY_OUTPUT|5|36|311377|161561989602|36 / 161561989638|311377 / 311382|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 170474840204 (0.000000%)|0 / 311891 (0.000000%)|1.000000|1.000000|1.000000|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ANY_CANDIDATE|0.581994|1974950 / 170474840204 (0.001158%)|260741 / 311891 (83.600040%)|0.030387|0.043756|0.064341|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
+|HUNSPELL ENGLISH LUCENE FILTER|0.000011%|83.640994%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ANY_CANDIDATE|0.025246|0.164000|0.999988|0.581994|0.999987|0.000013|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ANY_CANDIDATE|0.030387|0.043756|0.078123|0.022367|0.064345|0.064341|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|311891|0|0|170474840204|0 / 170474840204|0 / 311891|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ANY_CANDIDATE|51150|1974950|260741|170472865254|1974950 / 170474840204|260741 / 311891|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 161561989638|0 / 311382|
+|HUNSPELL ENGLISH LUCENE FILTER|18564 / 161561989638|260443 / 311382|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999966|11470018 / 170474840204 (0.006728%)|0 / 311891 (0.000000%)|0.032872|0.051579|0.162697|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|0.581994|2004598 / 170474840204 (0.001176%)|260741 / 311891 (83.600040%)|0.029965|0.043208|0.063875|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|&lt;0.000001%|0.000000%|
+|2|HUNSPELL ENGLISH LUCENE FILTER|0.581795|0.000023%|83.640994%|
 
 </div>
 
@@ -439,8 +344,8 @@ This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.026472|1.000000|0.999933|0.999966|0.999933|0.000067|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|0.024881|0.164000|0.999988|0.581994|0.999987|0.000013|
+|1|Radixor|ALL_CANDIDATES|0.999952|1.000000|1.000000|1.000000|1.000000|0.000000|
+|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|0.581828|0.163590|1.000000|0.581795|0.999998|0.000002|
 
 </details>
 
@@ -448,17 +353,8 @@ This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.032872|0.051579|0.119687|0.026472|0.162702|0.162697|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|0.029965|0.043208|0.077422|0.022081|0.063879|0.063875|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|0.999961|0.999976|0.999990|0.999952|0.999976|0.999976|
+|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|0.384979|0.255377|0.191058|0.146379|0.308515|0.308514|
 
 </details>
 
@@ -466,8 +362,8 @@ This mode contains **15 result rows**, **11 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|311891|11470018|0|170463370186|11470018 / 170474840204|0 / 311891|
-|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|51150|2004598|260741|170472835606|2004598 / 170474840204|260741 / 311891|
+|1|Radixor|ALL_CANDIDATES|311382|15|0|161561989623|15 / 161561989638|0 / 311382|
+|2|HUNSPELL ENGLISH LUCENE FILTER|ALL_CANDIDATES|50939|36611|260443|161561953027|36611 / 161561989638|260443 / 311382|
 
 </details>
 
@@ -477,20 +373,20 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|21319|1148489|10321529|28826|4.936720%|1355|2812871|
-|HUNSPELL ENGLISH LUCENE FILTER|5224|3091|26557|6786|1.162165%|4|590716|
+|Radixor|21048|3|12|13357|2.349760%|1355|584042|
+|HUNSPELL ENGLISH LUCENE FILTER|5176|1036|17011|5685|1.000104%|4|574142|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -499,16 +395,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `US_UK`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/finnish.md

@@ -8,21 +8,21 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `FI_FI` | 57,027 | 1,865,215 | 110,525 | 1,754,690 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `fi-fi-default` | `1.0.0` | `FI_FI` | 57,027 | 1,865,215 | 110,525 | 1,754,690 | 1,754,690 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **1,865,215**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **1,865,215**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
-| `AppendCharacterCommand` | Appends one character to the end of the word form. | 745 | 0.040% |
-| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 1,176,003 | 63.049% |
-| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 565,585 | 30.323% |
-| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 116,946 | 6.270% |
-| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 5,936 | 0.318% |
+| `AppendCharacterCommand` | Appends one character to the end of the word form. | 1,117 | 0.060% |
+| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 1,175,880 | 63.043% |
+| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 570,130 | 30.566% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 112,029 | 6.006% |
+| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 6,059 | 0.325% |
 
 ## Accuracy
 
@@ -30,25 +30,25 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 98.661% | 98.803% | 96.408% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 98.661% | 98.803% | 96.408% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene SnowballFilter | 10.991% | 10.268% | 22.471% | Lucene TokenFilter integration path around the Snowball algorithm. |
-| Official Snowball direct | 10.991% | 10.268% | 22.471% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
-| Lucene FinnishLightStemFilter | 4.351% | 4.294% | 5.264% | Light suffix stemmer; intentionally narrower than a dictionary-derived stemmer. |
+| Official Snowball direct | 10.995% | 10.272% | 22.462% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
+| Lucene FinnishLightStemFilter | 4.351% | 4.294% | 5.264% | Light suffix stemmer; intentionally narrower than Radixor's dictionary-trained transformation model. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `finnishRadixor` | 308.076 | 15.529 | 175.6 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Lucene FinnishLightStemFilter | `finnishLuceneFinnishLightStemFilter` | 175.250 | 46.995 | 99.9 | 0.569 | Light Finnish suffix stemmer. |
-| Official Snowball direct | `snowballDirect[FINNISH]` | 264.652 | 63.054 | 150.8 | 0.859 | Official Snowball generated Java stemmer; direct API. |
-| Lucene SnowballFilter | `luceneSnowballFilter[FINNISH]` | 374.883 | 238.157 | 213.6 | 1.217 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
+| Radixor | `finnishRadixor` | 225.954 | 2.940 | 128.8 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Lucene FinnishLightStemFilter | `finnishLuceneFinnishLightStemFilter` | 168.756 | 6.027 | 96.2 | 0.747 | Light Finnish suffix stemmer. |
+| Official Snowball direct | `snowballDirect[FINNISH]` | 247.984 | 16.083 | 141.3 | 1.097 | Official Snowball generated Java stemmer; direct API. |
+| Lucene SnowballFilter | `luceneSnowballFilter[FINNISH]` | 321.331 | 9.790 | 183.1 | 1.422 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -58,30 +58,30 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `FI_FI` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `FI_FI` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/fi_fi/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `fi-fi-default`, loaded from classpath resource `org/egothor/stemmer/models/fi-fi-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.984594** among 4 deterministic stemmers. The runner-up is `SNOWBALL FINNISH LUCENE FILTER` at 0.740353, a difference of 0.244242. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.988068** among 4 deterministic stemmers. The runner-up is `SNOWBALL FINNISH DIRECT` at 0.738400, a difference of 0.249668. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.984838** among 4 deterministic stemmers. The runner-up is `SNOWBALL FINNISH LUCENE FILTER` at 0.740279, a difference of 0.244559. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.988242** among 4 deterministic stemmers. The runner-up is `SNOWBALL FINNISH DIRECT` at 0.738543, a difference of 0.249699. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.984594|731279 / 1641126814491 (0.000045%)|971268 / 31523695 (3.081073%)|0.975128|0.972893|0.972899|
-|2|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|0.740353|1922153 / 1641126814491 (0.000117%)|16370057 / 31523695 (51.929372%)|0.758996|0.623613|0.653138|
-|3|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|0.739729|1544812 / 1641126814491 (0.000094%)|16409363 / 31523695 (52.054060%)|0.769880|0.627374|0.659540|
-|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.695969|2223150 / 1641126814491 (0.000135%)|19168306 / 31523695 (60.806025%)|0.687649|0.536000|0.576338|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.984838|&lt;0.000001%|3.032474%|
+|2|SNOWBALL FINNISH LUCENE FILTER|0.740279|0.000081%|51.944179%|
+|3|SNOWBALL FINNISH DIRECT|0.739870|0.000060%|52.025976%|
+|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|0.695725|0.000094%|60.854936%|
 
 </div>
 
@@ -89,10 +89,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.976624|0.969189|1.000000|0.984594|0.999999|0.000001|
-|2|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|0.887434|0.480706|0.999999|0.740353|0.999989|0.000011|
-|3|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|0.907269|0.479459|0.999999|0.739729|0.999989|0.000011|
-|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.847505|0.391940|0.999999|0.695969|0.999987|0.000013|
+|1|Radixor|PRIMARY_OUTPUT|0.999974|0.969675|1.000000|0.984838|0.999999|0.000001|
+|2|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|0.921471|0.480558|0.999999|0.740279|0.999989|0.000011|
+|3|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|0.940647|0.479740|0.999999|0.739870|0.999989|0.000011|
+|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.890914|0.391451|0.999999|0.695725|0.999987|0.000013|
 
 </details>
 
@@ -100,21 +100,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.975128|0.972893|0.970667|0.947216|0.972900|0.972899|
-|2|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|0.758996|0.623613|0.529216|0.453080|0.653142|0.653138|
-|3|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|0.769880|0.627374|0.529384|0.457061|0.659544|0.659540|
-|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.687649|0.536000|0.439152|0.366120|0.576343|0.576338|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.972892|0.996085|0.993746|0.994914|0.994914|
-|2|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|0.623608|0.990718|0.904385|0.945585|0.945585|
-|3|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|0.627369|0.991872|0.904139|0.945975|0.945975|
-|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.535994|0.988126|0.886473|0.934544|0.934544|
+|1|Radixor|PRIMARY_OUTPUT|0.993763|0.984591|0.975587|0.969650|0.984708|0.984708|
+|2|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|0.778598|0.631685|0.531413|0.461652|0.665448|0.665443|
+|3|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|0.789035|0.635413|0.531862|0.465645|0.671764|0.671760|
+|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.709787|0.543915|0.440884|0.373546|0.590550|0.590545|
 
 </details>
 
@@ -122,62 +111,40 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|30552427|731279|971268|1641126083212|731279 / 1641126814491|971268 / 31523695|
-|2|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|15153638|1922153|16370057|1641124892338|1922153 / 1641126814491|16370057 / 31523695|
-|3|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|15114332|1544812|16409363|1641125269679|1544812 / 1641126814491|16409363 / 31523695|
-|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|12355389|2223150|19168306|1641124591341|2223150 / 1641126814491|19168306 / 31523695|
+|1|Radixor|PRIMARY_OUTPUT|30511413|804|954186|1599841738533|804 / 1599841739337|954186 / 31465599|
+|2|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|15121052|1288634|16344547|1599840450703|1288634 / 1599841739337|16344547 / 31465599|
+|3|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|15095314|952479|16370285|1599840786858|952479 / 1599841739337|16370285 / 31465599|
+|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|12317229|1508153|19148370|1599840231184|1508153 / 1599841739337|19148370 / 31465599|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 1641126814491 (0.000000%)|0 / 31523695 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|31523695|0|0|1641126814491|0 / 1641126814491|0 / 31523695|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 1599841739337|0 / 31465599|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999999|1683575 / 1641126814491 (0.000103%)|0 / 31523695 (0.000000%)|0.959025|0.973991|0.974320|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|&lt;0.000001%|0.000000%|
 
 </div>
 
@@ -185,7 +152,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.949301|1.000000|0.999999|0.999999|0.999999|0.000001|
+|1|Radixor|ALL_CANDIDATES|0.999926|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -193,15 +160,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.959025|0.973991|0.989432|0.949301|0.974321|0.974320|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|0.999941|0.999963|0.999985|0.999926|0.999963|0.999963|
 
 </details>
 
@@ -209,7 +168,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|31523695|1683575|0|1641125130916|1683575 / 1641126814491|0 / 31523695|
+|1|Radixor|ALL_CANDIDATES|31465599|2327|0|1599841737010|2327 / 1599841739337|0 / 31465599|
 
 </details>
 
@@ -219,22 +178,22 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|971268|731279|952296|57328|3.164291%|6|1876272|
+|Radixor|954186|804|1523|34395|1.922815%|6|1826768|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.988068|730145 / 1543589444152 (0.000047%)|735305 / 30813833 (2.386282%)|0.976268|0.976219|0.976218|
-|2|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|0.738400|1513705 / 1543589444152 (0.000098%)|16121763 / 30813833 (52.319888%)|0.768117|0.624934|0.657464|
-|3|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|0.738400|1513705 / 1543589444152 (0.000098%)|16121763 / 30813833 (52.319888%)|0.768117|0.624934|0.657464|
-|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.694529|1806392 / 1543589444152 (0.000117%)|18825444 / 30813833 (61.094133%)|0.697056|0.537492|0.581469|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.988242|&lt;0.000001%|2.351587%|
+|2|SNOWBALL FINNISH DIRECT|0.738543|0.000062%|52.291340%|
+|3|SNOWBALL FINNISH LUCENE FILTER|0.738344|0.000062%|52.331112%|
+|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|0.694308|0.000077%|61.138333%|
 
 </div>
 
@@ -242,10 +201,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.976301|0.976137|1.000000|0.988068|0.999999|0.000001|
-|2|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|0.906595|0.476801|0.999999|0.738400|0.999989|0.000011|
-|3|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|0.906595|0.476801|0.999999|0.738400|0.999989|0.000011|
-|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.869053|0.389059|0.999999|0.694529|0.999987|0.000013|
+|1|Radixor|PRIMARY_OUTPUT|0.999973|0.976484|1.000000|0.988242|1.000000|0.000000|
+|2|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|0.939988|0.477087|0.999999|0.738543|0.999989|0.000011|
+|3|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|0.939951|0.476689|0.999999|0.738344|0.999989|0.000011|
+|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.911893|0.388617|0.999999|0.694308|0.999987|0.000013|
 
 </details>
 
@@ -253,21 +212,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.976268|0.976219|0.976170|0.953543|0.976219|0.976218|
-|2|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|0.768117|0.624934|0.526744|0.454475|0.657469|0.657464|
-|3|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|0.768117|0.624934|0.526744|0.454475|0.657469|0.657464|
-|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.697056|0.537492|0.437372|0.367514|0.581474|0.581469|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.976218|0.996000|0.996069|0.996035|0.996035|
-|2|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|0.624929|0.991732|0.902933|0.945252|0.945252|
-|3|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|0.624929|0.991732|0.902933|0.945252|0.945252|
-|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.537486|0.989268|0.885294|0.934397|0.934397|
+|1|Radixor|PRIMARY_OUTPUT|0.995185|0.988089|0.981093|0.976459|0.988159|0.988159|
+|2|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|0.787224|0.632932|0.529209|0.462985|0.669668|0.669664|
+|3|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|0.786987|0.632573|0.528815|0.462601|0.669376|0.669372|
+|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.718421|0.544981|0.438999|0.374553|0.595296|0.595291|
 
 </details>
 
@@ -275,62 +223,40 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|30078528|730145|735305|1543588714007|730145 / 1543589444152|735305 / 30813833|
-|2|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|14692070|1513705|16121763|1543587930447|1513705 / 1543589444152|16121763 / 30813833|
-|3|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|14692070|1513705|16121763|1543587930447|1513705 / 1543589444152|16121763 / 30813833|
-|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|11988389|1806392|18825444|1543587637760|1806392 / 1543589444152|18825444 / 30813833|
+|1|Radixor|PRIMARY_OUTPUT|30037514|804|723369|1504706134249|804 / 1504706135053|723369 / 30760883|
+|2|SNOWBALL FINNISH DIRECT|PRIMARY_OUTPUT|14675605|936938|16085278|1504705198115|936938 / 1504706135053|16085278 / 30760883|
+|3|SNOWBALL FINNISH LUCENE FILTER|PRIMARY_OUTPUT|14663371|936765|16097512|1504705198288|936765 / 1504706135053|16097512 / 30760883|
+|4|FINNISH LUCENE FINNISH LIGHT STEM FILTER|PRIMARY_OUTPUT|11954192|1155011|18806691|1504704980042|1155011 / 1504706135053|18806691 / 30760883|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 1543589444152 (0.000000%)|0 / 30813833 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|30813833|0|0|1543589444152|0 / 1543589444152|0 / 30813833|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 1504706135053|0 / 30760883|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999999|1653320 / 1543589444152 (0.000107%)|0 / 30813833 (0.000000%)|0.958843|0.973873|0.974205|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|&lt;0.000001%|0.000000%|
 
 </div>
 
@@ -338,7 +264,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.949077|1.000000|0.999999|0.999999|0.999999|0.000001|
+|1|Radixor|ALL_CANDIDATES|0.999927|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -346,15 +272,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.958843|0.973873|0.989383|0.949077|0.974206|0.974205|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|0.999942|0.999964|0.999985|0.999927|0.999964|0.999964|
 
 </details>
 
@@ -362,7 +280,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|30813833|1653320|0|1543587790832|1653320 / 1543589444152|0 / 30813833|
+|1|Radixor|ALL_CANDIDATES|30760883|2235|0|1504706132818|2235 / 1504706135053|0 / 30760883|
 
 </details>
 
@@ -372,19 +290,19 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|735305|730145|923175|44331|2.523029%|6|1805864|
+|Radixor|723369|804|1431|22060|1.271628%|6|1758300|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -393,16 +311,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `FI_FI`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/french.md

@@ -8,21 +8,21 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `FR_FR` | 59,240 | 474,110 | 108,141 | 365,969 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `fr-fr-default` | `1.0.0` | `FR_FR` | 59,240 | 474,110 | 108,141 | 365,969 | 365,969 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **474,110**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **474,110**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
-| `AppendCharacterCommand` | Appends one character to the end of the word form. | 5,370 | 1.133% |
-| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 185,263 | 39.076% |
-| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 153,886 | 32.458% |
-| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 116,519 | 24.576% |
-| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 13,072 | 2.757% |
+| `AppendCharacterCommand` | Appends one character to the end of the word form. | 10,082 | 2.127% |
+| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 184,521 | 38.919% |
+| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 154,760 | 32.642% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 110,933 | 23.398% |
+| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 13,814 | 2.914% |
 
 ## Accuracy
 
@@ -30,29 +30,29 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 94.831% | 94.859% | 94.734% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 94.831% | 94.859% | 94.734% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene HunspellStemFilter | 68.923% | 63.617% | 86.876% | Benchmark-only French Hunspell dictionary compared via Lucene HunspellStemFilter. |
 | Lucene FrenchMinimalStemFilter | 11.472% | 6.236% | 29.192% | Minimal suffix reducer; narrow baseline, not a full stemmer. |
 | Lucene SnowballFilter | 8.551% | 5.183% | 19.952% | Lucene TokenFilter integration path around the Snowball algorithm. |
 | Official Snowball direct | 8.462% | 5.067% | 19.952% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
-| Lucene FrenchLightStemFilter | 6.377% | 3.965% | 14.540% | Light suffix stemmer; intentionally narrower than a dictionary-derived stemmer. |
+| Lucene FrenchLightStemFilter | 6.377% | 3.965% | 14.540% | Light suffix stemmer; intentionally narrower than Radixor's dictionary-trained transformation model. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `frenchRadixor` | 47.033 | 4.146 | 128.5 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 1664.935 | 65.928 | 4549.4 | 35.399 | Benchmark-only French Hunspell dictionary compared via Lucene HunspellStemFilter. |
-| Lucene FrenchMinimalStemFilter | `frenchLuceneFrenchMinimalStemFilter` | 19.234 | 2.098 | 52.6 | 0.409 | Minimal French suffix reducer; narrow baseline. |
-| Lucene FrenchLightStemFilter | `frenchLuceneFrenchLightStemFilter` | 30.560 | 3.680 | 83.5 | 0.650 | Light French suffix stemmer. |
-| Official Snowball direct | `snowballDirect[FRENCH]` | 111.057 | 8.172 | 303.5 | 2.361 | Official Snowball generated Java stemmer; direct API. |
-| Lucene SnowballFilter | `luceneSnowballFilter[FRENCH]` | 123.648 | 3.500 | 337.9 | 2.629 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
+| Radixor | `frenchRadixor` | 37.443 | 0.520 | 102.3 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 1673.192 | 57.385 | 4572.0 | 44.686 | Benchmark-only French Hunspell dictionary compared via Lucene HunspellStemFilter. |
+| Lucene FrenchMinimalStemFilter | `frenchLuceneFrenchMinimalStemFilter` | 18.034 | 0.181 | 49.3 | 0.482 | Minimal French suffix reducer; narrow baseline. |
+| Lucene FrenchLightStemFilter | `frenchLuceneFrenchLightStemFilter` | 27.961 | 0.493 | 76.4 | 0.747 | Light French suffix stemmer. |
+| Official Snowball direct | `snowballDirect[FRENCH]` | 112.255 | 4.045 | 306.7 | 2.998 | Official Snowball generated Java stemmer; direct API. |
+| Lucene SnowballFilter | `luceneSnowballFilter[FRENCH]` | 119.555 | 4.560 | 326.7 | 3.193 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -62,32 +62,32 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `FR_FR` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `FR_FR` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/fr_fr/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `fr-fr-default`, loaded from classpath resource `org/egothor/stemmer/models/fr-fr-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.956992** among 6 deterministic stemmers. The runner-up is `SNOWBALL FRENCH DIRECT` at 0.845262, a difference of 0.111731. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.957224** among 6 deterministic stemmers. The runner-up is `SNOWBALL FRENCH DIRECT` at 0.845414, a difference of 0.111810. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.958627** among 6 deterministic stemmers. The runner-up is `SNOWBALL FRENCH DIRECT` at 0.848662, a difference of 0.109965. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.958856** among 6 deterministic stemmers. The runner-up is `SNOWBALL FRENCH DIRECT` at 0.848826, a difference of 0.110031. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.956992|318767 / 90396104830 (0.000353%)|469160 / 5454615 (8.601157%)|0.934603|0.926765|0.926851|
-|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|0.845262|1654723 / 90396104830 (0.001831%)|1687975 / 5454615 (30.945814%)|0.693926|0.692653|0.692638|
-|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.844999|1661388 / 90396104830 (0.001838%)|1690838 / 5454615 (30.998301%)|0.693010|0.691885|0.691869|
-|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.813742|776728 / 90396104830 (0.000859%)|2031881 / 5454615 (37.250677%)|0.769069|0.709075|0.715131|
-|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.518587|276403 / 90396104830 (0.000306%)|5251833 / 5454615 (96.282377%)|0.137547|0.068348|0.125415|
-|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.516830|160438 / 90396104830 (0.000177%)|5271003 / 5454615 (96.633823%)|0.134400|0.063329|0.134021|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.958627|&lt;0.000001%|8.274665%|
+|2|SNOWBALL FRENCH DIRECT|0.848662|0.001338%|30.266309%|
+|3|SNOWBALL FRENCH LUCENE FILTER|0.848404|0.001345%|30.317815%|
+|4|HUNSPELL FRENCH LUCENE FILTER|0.816824|0.000540%|36.634583%|
+|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|0.518478|0.000187%|96.304159%|
+|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|0.516784|0.000083%|96.643216%|
 
 </div>
 
@@ -95,12 +95,12 @@ This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.939903|0.913988|0.999996|0.956992|0.999991|0.000009|
-|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|0.694777|0.690542|0.999982|0.845262|0.999963|0.000037|
-|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.693763|0.690017|0.999982|0.844999|0.999963|0.000037|
-|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.815041|0.627493|0.999991|0.813742|0.999969|0.000031|
-|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.423181|0.037176|0.999997|0.518587|0.999939|0.000061|
-|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.533678|0.033662|0.999998|0.516830|0.999940|0.000060|
+|1|Radixor|PRIMARY_OUTPUT|0.999994|0.917253|1.000000|0.958627|0.999995|0.000005|
+|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|0.774195|0.697337|0.999987|0.848662|0.999967|0.000033|
+|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.773169|0.696822|0.999987|0.848404|0.999967|0.000033|
+|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.885315|0.633654|0.999995|0.816824|0.999970|0.000030|
+|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.565022|0.036958|0.999998|0.518478|0.999935|0.000065|
+|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.726387|0.033568|0.999999|0.516784|0.999936|0.000064|
 
 </details>
 
@@ -108,25 +108,12 @@ This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.934603|0.926765|0.919056|0.863524|0.926855|0.926851|
-|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|0.693926|0.692653|0.691385|0.529816|0.692656|0.692638|
-|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.693010|0.691885|0.690763|0.528917|0.691887|0.691869|
-|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.769069|0.709075|0.657765|0.549277|0.715145|0.715131|
-|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.137547|0.068348|0.045472|0.035383|0.125428|0.125415|
-|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.134400|0.063329|0.041424|0.032700|0.134032|0.134021|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.926760|0.988772|0.985214|0.986990|0.986990|
-|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|0.692635|0.959459|0.944948|0.952148|0.952148|
-|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.691866|0.958698|0.944715|0.951655|0.951655|
-|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.709060|0.978337|0.913706|0.944918|0.944918|
-|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.068339|0.974110|0.812376|0.885922|0.885922|
-|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.063322|0.984019|0.810979|0.889158|0.889158|
+|1|Radixor|PRIMARY_OUTPUT|0.982273|0.956838|0.932688|0.917248|0.957731|0.957728|
+|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|0.757497|0.733759|0.711463|0.579478|0.734761|0.734745|
+|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.756590|0.733013|0.710861|0.578548|0.734003|0.733987|
+|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.820168|0.738637|0.671850|0.585587|0.748988|0.748975|
+|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.146469|0.069379|0.045455|0.035936|0.144507|0.144495|
+|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.141655|0.064170|0.041481|0.033149|0.156151|0.156143|
 
 </details>
 
@@ -134,70 +121,45 @@ This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|4985455|318767|469160|90395786063|318767 / 90396104830|469160 / 5454615|
-|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|3766640|1654723|1687975|90394450107|1654723 / 90396104830|1687975 / 5454615|
-|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|3763777|1661388|1690838|90394443442|1661388 / 90396104830|1690838 / 5454615|
-|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|3422734|776728|2031881|90395328102|776728 / 90396104830|2031881 / 5454615|
-|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|202782|276403|5251833|90395828427|276403 / 90396104830|5251833 / 5454615|
-|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|183612|160438|5271003|90395944392|160438 / 90396104830|5271003 / 5454615|
+|1|Radixor|PRIMARY_OUTPUT|4925833|29|444366|81606871827|29 / 81606871856|444366 / 5370199|
+|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|3744838|1092238|1625361|81605779618|1092238 / 81606871856|1625361 / 5370199|
+|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|3742072|1097843|1628127|81605774013|1097843 / 81606871856|1628127 / 5370199|
+|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|3402849|440809|1967350|81606431047|440809 / 81606871856|1967350 / 5370199|
+|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|198474|152794|5171725|81606719062|152794 / 81606871856|5171725 / 5370199|
+|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|180266|67902|5189933|81606803954|67902 / 81606871856|5189933 / 5370199|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|0.999979|12 / 90396104830 (0.000000%)|232 / 5454615 (0.004253%)|0.999990|0.999978|0.999978|
-|2|HUNSPELL FRENCH LUCENE FILTER|ANY_CANDIDATE|0.830964|745831 / 90396104830 (0.000825%)|1844003 / 5454615 (33.806291%)|0.789019|0.736029|0.740670|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.004320%|
+|HUNSPELL FRENCH LUCENE FILTER|0.000539%|33.189869%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|0.999998|0.999957|1.000000|0.999979|1.000000|0.000000|
-|2|HUNSPELL FRENCH LUCENE FILTER|ANY_CANDIDATE|0.828798|0.661937|0.999992|0.830964|0.999971|0.000029|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|0.999990|0.999978|0.999966|0.999955|0.999978|0.999978|
-|2|HUNSPELL FRENCH LUCENE FILTER|ANY_CANDIDATE|0.789019|0.736029|0.689709|0.582315|0.740684|0.740670|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL FRENCH LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|5454383|12|232|90396104818|12 / 90396104830|232 / 5454615|
-|2|HUNSPELL FRENCH LUCENE FILTER|ANY_CANDIDATE|3610612|745831|1844003|90395358999|745831 / 90396104830|1844003 / 5454615|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 81606871856|232 / 5370199|
+|HUNSPELL FRENCH LUCENE FILTER|439665 / 81606871856|1782362 / 5370199|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999973|1056255 / 90396104830 (0.001168%)|232 / 5454615 (0.004253%)|0.865853|0.911704|0.915270|
-|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|0.830963|1043199 / 90396104830 (0.001154%)|1844003 / 5454615 (33.806291%)|0.750028|0.714377|0.716613|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.999978|0.000003%|0.004320%|
+|2|HUNSPELL FRENCH LUCENE FILTER|0.834048|0.000614%|33.189869%|
 
 </div>
 
@@ -205,8 +167,8 @@ This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.837765|0.999957|0.999988|0.999973|0.999988|0.000012|
-|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|0.775840|0.661937|0.999988|0.830963|0.999968|0.000032|
+|1|Radixor|ALL_CANDIDATES|0.999571|0.999957|1.000000|0.999978|1.000000|0.000000|
+|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|0.877537|0.668101|0.999994|0.834048|0.999972|0.000028|
 
 </details>
 
@@ -214,17 +176,8 @@ This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.865853|0.911704|0.962682|0.837735|0.915275|0.915270|
-|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|0.750028|0.714377|0.681961|0.555666|0.716629|0.716613|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|0.999648|0.999764|0.999880|0.999528|0.999764|0.999764|
+|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|0.825765|0.758630|0.701590|0.611123|0.765691|0.765678|
 
 </details>
 
@@ -232,8 +185,8 @@ This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|5454383|1056255|232|90395048575|1056255 / 90396104830|232 / 5454615|
-|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|3610612|1043199|1844003|90395061631|1043199 / 90396104830|1844003 / 5454615|
+|1|Radixor|ALL_CANDIDATES|5369967|2303|232|81606869553|2303 / 81606871856|232 / 5370199|
+|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|3587837|500695|1782362|81606371161|500695 / 81606871856|1782362 / 5370199|
 
 </details>
 
@@ -243,25 +196,25 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|468928|318755|737488|43040|10.122057%|56|477024|
-|HUNSPELL FRENCH LUCENE FILTER|187878|30897|266471|13511|3.177489%|4|439015|
+|Radixor|444134|29|2274|21844|5.406783%|56|427440|
+|HUNSPELL FRENCH LUCENE FILTER|184988|1144|59886|8230|2.037073%|4|412364|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.957224|315266 / 88712126506 (0.000355%)|465436 / 5440559 (8.554930%)|0.935099|0.927248|0.927334|
-|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|0.845414|1646111 / 88712126506 (0.001856%)|1681970 / 5440559 (30.915389%)|0.694508|0.693130|0.693115|
-|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.845163|1641925 / 88712126506 (0.001851%)|1684703 / 5440559 (30.965623%)|0.694714|0.693068|0.693055|
-|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.813617|763305 / 88712126506 (0.000860%)|2028011 / 5440559 (37.275784%)|0.770537|0.709734|0.715938|
-|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.518442|262689 / 88712126506 (0.000296%)|5239869 / 5440559 (96.311225%)|0.137571|0.067985|0.126383|
-|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.516697|147476 / 88712126506 (0.000166%)|5258873 / 5440559 (96.660527%)|0.134439|0.062979|0.135757|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.958856|&lt;0.000001%|8.228703%|
+|2|SNOWBALL FRENCH DIRECT|0.848826|0.001356%|30.233460%|
+|3|SNOWBALL FRENCH LUCENE FILTER|0.848580|0.001353%|30.282729%|
+|4|HUNSPELL FRENCH LUCENE FILTER|0.816702|0.000540%|36.658999%|
+|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|0.518338|0.000181%|96.332173%|
+|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|0.516654|0.000076%|96.669051%|
 
 </div>
 
@@ -269,12 +222,12 @@ This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.940408|0.914451|0.999996|0.957224|0.999991|0.000009|
-|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|0.695430|0.690846|0.999981|0.845414|0.999962|0.000038|
-|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.695815|0.690344|0.999981|0.845163|0.999963|0.000037|
-|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.817210|0.627242|0.999991|0.813617|0.999969|0.000031|
-|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.433101|0.036888|0.999997|0.518442|0.999938|0.000062|
-|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.551965|0.033395|0.999998|0.516697|0.999939|0.000061|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.917713|1.000000|0.958856|0.999995|0.000005|
+|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|0.774357|0.697665|0.999986|0.848826|0.999966|0.000034|
+|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.774620|0.697173|0.999986|0.848580|0.999966|0.000034|
+|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.886736|0.633410|0.999995|0.816702|0.999970|0.000030|
+|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.575115|0.036678|0.999998|0.518338|0.999934|0.000066|
+|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.746071|0.033309|0.999999|0.516654|0.999935|0.000065|
 
 </details>
 
@@ -282,25 +235,12 @@ This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.935099|0.927248|0.919527|0.864363|0.927338|0.927334|
-|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|0.694508|0.693130|0.691758|0.530374|0.693134|0.693115|
-|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.694714|0.693068|0.691431|0.530302|0.693074|0.693055|
-|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.770537|0.709734|0.657826|0.550068|0.715953|0.715938|
-|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.137571|0.067985|0.045148|0.035189|0.126397|0.126383|
-|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.134439|0.062979|0.041121|0.032513|0.135767|0.135757|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.927243|0.988916|0.985550|0.987230|0.987230|
-|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|0.693112|0.959521|0.944537|0.951970|0.951970|
-|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.693050|0.959566|0.944385|0.951915|0.951915|
-|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.709719|0.979328|0.913162|0.945088|0.945088|
-|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.067976|0.975086|0.811144|0.885591|0.885591|
-|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.062973|0.985086|0.809774|0.888868|0.888868|
+|1|Radixor|PRIMARY_OUTPUT|0.982383|0.957091|0.933069|0.917713|0.957973|0.957971|
+|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|0.757699|0.734013|0.711764|0.579795|0.735012|0.734995|
+|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.757784|0.733859|0.711398|0.579603|0.734877|0.734860|
+|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|0.821061|0.738965|0.671794|0.585999|0.749445|0.749431|
+|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.146117|0.068959|0.045128|0.035711|0.145238|0.145227|
+|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.141311|0.063772|0.041177|0.032936|0.157643|0.157634|
 
 </details>
 
@@ -308,70 +248,45 @@ This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|4975123|315266|465436|88711811240|315266 / 88712126506|465436 / 5440559|
-|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|3758589|1646111|1681970|88710480395|1646111 / 88712126506|1681970 / 5440559|
-|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|3755856|1641925|1684703|88710484581|1641925 / 88712126506|1684703 / 5440559|
-|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|3412548|763305|2028011|88711363201|763305 / 88712126506|2028011 / 5440559|
-|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|200690|262689|5239869|88711863817|262689 / 88712126506|5239869 / 5440559|
-|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|181686|147476|5258873|88711979030|147476 / 88712126506|5258873 / 5440559|
+|1|Radixor|PRIMARY_OUTPUT|4915501|1|440750|80279496864|1 / 80279496865|440750 / 5356251|
+|2|SNOWBALL FRENCH DIRECT|PRIMARY_OUTPUT|3736871|1088903|1619380|80278407962|1088903 / 80279496865|1619380 / 5356251|
+|3|SNOWBALL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|3734232|1086494|1622019|80278410371|1086494 / 80279496865|1622019 / 5356251|
+|4|HUNSPELL FRENCH LUCENE FILTER|PRIMARY_OUTPUT|3392703|433354|1963548|80279063511|433354 / 80279496865|1963548 / 5356251|
+|5|FRENCH LUCENE FRENCH LIGHT STEM FILTER|PRIMARY_OUTPUT|196458|145140|5159793|80279351725|145140 / 80279496865|5159793 / 5356251|
+|6|FRENCH LUCENE FRENCH MINIMAL STEM FILTER|PRIMARY_OUTPUT|178414|60724|5177837|80279436141|60724 / 80279496865|5177837 / 5356251|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 88712126506 (0.000000%)|0 / 5440559 (0.000000%)|1.000000|1.000000|1.000000|
-|2|HUNSPELL FRENCH LUCENE FILTER|ANY_CANDIDATE|0.830852|733584 / 88712126506 (0.000827%)|1840476 / 5440559 (33.828803%)|0.790351|0.736648|0.741404|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
+|HUNSPELL FRENCH LUCENE FILTER|0.000539%|33.211718%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-|2|HUNSPELL FRENCH LUCENE FILTER|ANY_CANDIDATE|0.830724|0.661712|0.999992|0.830852|0.999971|0.000029|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-|2|HUNSPELL FRENCH LUCENE FILTER|ANY_CANDIDATE|0.790351|0.736648|0.689779|0.583090|0.741418|0.741404|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL FRENCH LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|5440559|0|0|88712126506|0 / 88712126506|0 / 5440559|
-|2|HUNSPELL FRENCH LUCENE FILTER|ANY_CANDIDATE|3600083|733584|1840476|88711392922|733584 / 88712126506|1840476 / 5440559|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 80279496865|0 / 5356251|
+|HUNSPELL FRENCH LUCENE FILTER|432307 / 80279496865|1778903 / 5356251|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999995|938985 / 88712126506 (0.001058%)|0 / 5440559 (0.000000%)|0.878679|0.920560|0.923474|
-|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|0.830850|1027635 / 88712126506 (0.001158%)|1840476 / 5440559 (33.828803%)|0.751538|0.715134|0.717460|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|&lt;0.000001%|0.000000%|
+|2|HUNSPELL FRENCH LUCENE FILTER|0.833938|0.000614%|33.211718%|
 
 </div>
 
@@ -379,8 +294,8 @@ This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.852813|1.000000|0.999989|0.999995|0.999989|0.000011|
-|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|0.777939|0.661712|0.999988|0.830850|0.999968|0.000032|
+|1|Radixor|ALL_CANDIDATES|0.999986|1.000000|1.000000|1.000000|1.000000|0.000000|
+|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|0.878983|0.667883|0.999994|0.833938|0.999972|0.000028|
 
 </details>
 
@@ -388,17 +303,8 @@ This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.878679|0.920560|0.966634|0.852813|0.923479|0.923474|
-|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|0.751538|0.715134|0.682093|0.556582|0.717476|0.717460|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|0.999989|0.999993|0.999997|0.999986|0.999993|0.999993|
+|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|0.826722|0.759029|0.701582|0.611641|0.766197|0.766184|
 
 </details>
 
@@ -406,8 +312,8 @@ This mode contains **10 result rows**, **6 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|5440559|938985|0|88711187521|938985 / 88712126506|0 / 5440559|
-|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|3600083|1027635|1840476|88711098871|1027635 / 88712126506|1840476 / 5440559|
+|1|Radixor|ALL_CANDIDATES|5356251|75|0|80279496790|75 / 80279496865|0 / 5356251|
+|2|HUNSPELL FRENCH LUCENE FILTER|ALL_CANDIDATES|3577348|492522|1778903|80279004343|492522 / 80279496865|1778903 / 5356251|
 
 </details>
 
@@ -417,20 +323,20 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|465436|315266|623719|41130|9.764239%|56|468574|
-|HUNSPELL FRENCH LUCENE FILTER|187535|29721|264330|13437|3.189936%|4|434961|
+|Radixor|440750|1|74|20611|5.143594%|56|422336|
+|HUNSPELL FRENCH LUCENE FILTER|184645|1047|59168|8194|2.044860%|4|409028|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -439,16 +345,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `FR_FR`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/german.md

@@ -8,21 +8,21 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `DE_DE` | 39,315 | 213,440 | 73,799 | 139,641 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `de-de-default` | `1.0.0` | `DE_DE` | 54,092 | 333,036 | 90,535 | 242,501 | 242,501 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **213,440**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **333,036**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
-| `AppendCharacterCommand` | Appends one character to the end of the word form. | 3,627 | 1.699% |
-| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 48,605 | 22.772% |
-| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 80,443 | 37.689% |
-| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 75,717 | 35.475% |
-| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 5,048 | 2.365% |
+| `AppendCharacterCommand` | Appends one character to the end of the word form. | 12,107 | 3.635% |
+| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 81,805 | 24.563% |
+| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 142,376 | 42.751% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 88,820 | 26.670% |
+| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 7,928 | 2.381% |
 
 ## Accuracy
 
@@ -30,33 +30,33 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 92.725% | 92.847% | 92.396% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 92.725% | 92.847% | 92.396% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene HunspellStemFilter | 47.064% | 29.661% | 93.678% | Benchmark-only German Hunspell dictionary compared via Lucene HunspellStemFilter. |
 | CISTEM (German) | 24.675% | 23.724% | 27.222% | Benchmark-only CISTEM implementation. |
-| Lucene GermanLightStemFilter | 37.434% | 35.465% | 42.707% | Light suffix stemmer; intentionally narrower than a dictionary-derived stemmer. |
+| Lucene GermanLightStemFilter | 37.434% | 35.465% | 42.707% | Light suffix stemmer; intentionally narrower than Radixor's lexicon-trained transformation model. |
 | Lucene GermanMinimalStemFilter | 27.640% | 24.951% | 34.844% | Minimal suffix reducer; narrow baseline, not a full stemmer. |
 | Lucene SnowballFilter | 30.956% | 28.853% | 36.589% | Lucene TokenFilter integration path around the Snowball algorithm. |
-| Official Snowball direct | 30.481% | 29.027% | 34.376% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
+| Official Snowball direct | 30.483% | 29.030% | 34.376% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
 | Lucene GermanStemFilter | 21.559% | 19.312% | 27.576% | German Lucene stemming TokenFilter; broader than minimal/light variants. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `germanRadixor` | 41.166 | 2.396 | 294.8 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| CISTEM | `germanCistem` | 248.392 | 12.294 | 1778.8 | 6.034 | Benchmark-only CISTEM implementation. |
-| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 281.322 | 3.411 | 2014.6 | 6.834 | Benchmark-only German Hunspell dictionary compared via Lucene HunspellStemFilter. |
-| Lucene GermanMinimalStemFilter | `germanLuceneGermanMinimalStemFilter` | 23.562 | 0.969 | 168.7 | 0.572 | Minimal German suffix reduction; narrow baseline. |
-| Lucene GermanLightStemFilter | `germanLuceneGermanLightStemFilter` | 24.410 | 1.034 | 174.8 | 0.593 | Light German suffix stemmer; narrower than a dictionary stemmer. |
-| Lucene GermanStemFilter | `germanLuceneGermanStemFilter` | 71.039 | 4.443 | 508.7 | 1.726 | Older German stemming TokenFilter with normalization requirements. |
-| Lucene SnowballFilter | `luceneSnowballFilter[GERMAN]` | 105.771 | 9.617 | 757.4 | 2.569 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
-| Official Snowball direct | `snowballDirect[GERMAN]` | 100.688 | 9.018 | 721.0 | 2.446 | Official Snowball generated Java stemmer; direct API. |
+| Radixor | `germanRadixor` | 27.697 | 0.583 | 114.2 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| CISTEM | `germanCistem` | 289.568 | 8.761 | 1194.1 | 10.455 | Benchmark-only CISTEM implementation. |
+| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 265.653 | 10.779 | 1095.5 | 9.591 | Benchmark-only German Hunspell dictionary compared via Lucene HunspellStemFilter. |
+| Lucene GermanMinimalStemFilter | `germanLuceneGermanMinimalStemFilter` | 22.385 | 0.217 | 92.3 | 0.808 | Minimal German suffix reduction; narrow baseline. |
+| Lucene GermanLightStemFilter | `germanLuceneGermanLightStemFilter` | 23.170 | 0.383 | 95.5 | 0.837 | Light German suffix stemmer; narrower than Radixor's lexicon-trained transformation model. |
+| Lucene GermanStemFilter | `germanLuceneGermanStemFilter` | 67.453 | 0.967 | 278.2 | 2.435 | Older German stemming TokenFilter with normalization requirements. |
+| Lucene SnowballFilter | `luceneSnowballFilter[GERMAN]` | 105.203 | 2.035 | 433.8 | 3.798 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
+| Official Snowball direct | `snowballDirect[GERMAN]` | 91.847 | 2.301 | 378.7 | 3.316 | Official Snowball generated Java stemmer; direct API. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -66,34 +66,34 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `DE_DE` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `DE_DE` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/de_de/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `de-de-default`, loaded from classpath resource `org/egothor/stemmer/models/de-de-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.907901** among 8 deterministic stemmers. The runner-up is `GERMAN CISTEM` at 0.880770, a difference of 0.027131. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.966157** among 8 deterministic stemmers. The runner-up is `GERMAN CISTEM` at 0.915288, a difference of 0.050869. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.910445** among 8 deterministic stemmers. The runner-up is `GERMAN CISTEM` at 0.878527, a difference of 0.031918. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.966959** among 8 deterministic stemmers. The runner-up is `GERMAN CISTEM` at 0.914727, a difference of 0.052232. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.907901|98192 / 44095245979 (0.000223%)|254903 / 1383872 (18.419550%)|0.897073|0.864768|0.866326|
-|2|GERMAN CISTEM|PRIMARY_OUTPUT|0.880770|477122 / 44095245979 (0.001082%)|329983 / 1383872 (23.844908%)|0.701852|0.723109|0.724023|
-|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|0.778614|190680 / 44095245979 (0.000432%)|612734 / 1383872 (44.276783%)|0.737064|0.657494|0.668394|
-|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.771357|295701 / 44095245979 (0.000671%)|632816 / 1383872 (45.727929%)|0.674089|0.617993|0.624014|
-|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.756258|205740 / 44095245979 (0.000467%)|674609 / 1383872 (48.747933%)|0.703092|0.617052|0.630292|
-|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|0.723772|331871 / 44095245979 (0.000753%)|764518 / 1383872 (55.244849%)|0.596821|0.530474|0.539809|
-|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.641579|203883 / 44095245979 (0.000462%)|992010 / 1383872 (71.683653%)|0.520145|0.395897|0.431563|
-|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.598139|110840 / 44095245979 (0.000251%)|1112246 / 1383872 (80.372029%)|0.466113|0.307558|0.373350|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.910445|0.000002%|17.910967%|
+|2|GERMAN CISTEM|0.878527|0.000674%|24.293900%|
+|3|SNOWBALL GERMAN DIRECT|0.776012|0.000171%|44.797420%|
+|4|SNOWBALL GERMAN LUCENE FILTER|0.769071|0.000371%|46.185528%|
+|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|0.753833|0.000191%|49.233299%|
+|6|GERMAN LUCENE GERMAN STEM FILTER|0.720992|0.000443%|55.801084%|
+|7|HUNSPELL GERMAN LUCENE FILTER|0.640308|0.000290%|71.938102%|
+|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|0.595748|0.000088%|80.850384%|
 
 </div>
 
@@ -101,14 +101,14 @@ This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.919984|0.815804|0.999998|0.907901|0.999992|0.000008|
-|2|GERMAN CISTEM|PRIMARY_OUTPUT|0.688361|0.761551|0.999989|0.880770|0.999982|0.000018|
-|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|0.801750|0.557232|0.999996|0.778614|0.999982|0.000018|
-|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.717508|0.542721|0.999993|0.771357|0.999979|0.000021|
-|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.775148|0.512521|0.999995|0.756258|0.999980|0.000020|
-|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|0.651112|0.447552|0.999992|0.723772|0.999975|0.000025|
-|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.657768|0.283163|0.999995|0.641579|0.999973|0.000027|
-|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.710196|0.196280|0.999997|0.598139|0.999972|0.000028|
+|1|Radixor|PRIMARY_OUTPUT|0.999400|0.820890|1.000000|0.910445|0.999994|0.000006|
+|2|GERMAN CISTEM|PRIMARY_OUTPUT|0.797231|0.757061|0.999993|0.878527|0.999985|0.000015|
+|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|0.918571|0.552026|0.999998|0.776012|0.999983|0.000017|
+|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.835220|0.538145|0.999996|0.769071|0.999980|0.000020|
+|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.902792|0.507667|0.999998|0.753833|0.999981|0.000019|
+|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|0.777304|0.441989|0.999996|0.720992|0.999976|0.000024|
+|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.771720|0.280619|0.999997|0.640308|0.999972|0.000028|
+|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.883845|0.191496|0.999999|0.595748|0.999971|0.000029|
 
 </details>
 
@@ -116,29 +116,14 @@ This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.897073|0.864768|0.834709|0.761755|0.866330|0.866326|
-|2|GERMAN CISTEM|PRIMARY_OUTPUT|0.701852|0.723109|0.745694|0.566304|0.724032|0.724023|
-|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|0.737064|0.657494|0.593429|0.489751|0.668402|0.668394|
-|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.674089|0.617993|0.570517|0.447171|0.624024|0.624014|
-|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.703092|0.617052|0.549774|0.446186|0.630301|0.630292|
-|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|0.596821|0.530474|0.477402|0.360983|0.539820|0.539809|
-|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.520145|0.395897|0.319562|0.246803|0.431574|0.431563|
-|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.466113|0.307558|0.229493|0.181725|0.373359|0.373350|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.864764|0.989946|0.975085|0.982460|0.982460|
-|2|GERMAN CISTEM|PRIMARY_OUTPUT|0.723100|0.974048|0.975147|0.974597|0.974597|
-|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|0.657485|0.983725|0.949324|0.966218|0.966218|
-|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.617983|0.975845|0.942925|0.959102|0.959102|
-|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.617043|0.980753|0.936533|0.958133|0.958133|
-|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|0.530462|0.975550|0.942890|0.958942|0.958942|
-|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.395885|0.980463|0.886873|0.931322|0.931322|
-|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.307549|0.983615|0.896264|0.937910|0.937910|
+|1|Radixor|PRIMARY_OUTPUT|0.957746|0.901392|0.851302|0.820486|0.905758|0.905755|
+|2|GERMAN CISTEM|PRIMARY_OUTPUT|0.788860|0.776627|0.764768|0.634824|0.776886|0.776879|
+|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|0.810886|0.689618|0.599903|0.526272|0.712092|0.712085|
+|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.752175|0.654552|0.579359|0.486494|0.670425|0.670416|
+|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.781189|0.649884|0.556368|0.481355|0.676991|0.676984|
+|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|0.674901|0.563540|0.483723|0.392311|0.586140|0.586130|
+|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.571639|0.411577|0.321543|0.259110|0.465359|0.465349|
+|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.512941|0.314789|0.227071|0.186795|0.411404|0.411396|
 
 </details>
 
@@ -146,72 +131,47 @@ This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|1128969|98192|254903|44095147787|98192 / 44095245979|254903 / 1383872|
-|2|GERMAN CISTEM|PRIMARY_OUTPUT|1053889|477122|329983|44094768857|477122 / 44095245979|329983 / 1383872|
-|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|771138|190680|612734|44095055299|190680 / 44095245979|612734 / 1383872|
-|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|751056|295701|632816|44094950278|295701 / 44095245979|632816 / 1383872|
-|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|709263|205740|674609|44095040239|205740 / 44095245979|674609 / 1383872|
-|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|619354|331871|764518|44094914108|331871 / 44095245979|764518 / 1383872|
-|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|391862|203883|992010|44095042096|203883 / 44095245979|992010 / 1383872|
-|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|271626|110840|1112246|44095135139|110840 / 44095245979|1112246 / 1383872|
+|1|Radixor|PRIMARY_OUTPUT|1103976|663|240876|38436733230|663 / 38436733893|240876 / 1344852|
+|2|GERMAN CISTEM|PRIMARY_OUTPUT|1018135|258954|326717|38436474939|258954 / 38436733893|326717 / 1344852|
+|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|742393|65811|602459|38436668082|65811 / 38436733893|602459 / 1344852|
+|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|723725|142783|621127|38436591110|142783 / 38436733893|621127 / 1344852|
+|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|682737|73514|662115|38436660379|73514 / 38436733893|662115 / 1344852|
+|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|594410|170297|750442|38436563596|170297 / 38436733893|750442 / 1344852|
+|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|377391|111635|967461|38436622258|111635 / 38436733893|967461 / 1344852|
+|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|257534|33845|1087318|38436700048|33845 / 38436733893|1087318 / 1344852|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|0.959835|1375 / 44095245979 (0.000003%)|111167 / 1383872 (8.033041%)|0.981996|0.957658|0.958475|
-|2|HUNSPELL GERMAN LUCENE FILTER|ANY_CANDIDATE|0.647474|158403 / 44095245979 (0.000359%)|975697 / 1383872 (70.504859%)|0.559116|0.418544|0.460956|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000001%|8.261653%|
+|HUNSPELL GERMAN LUCENE FILTER|0.000216%|70.811435%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|0.998921|0.919670|1.000000|0.959835|0.999997|0.000003|
-|2|HUNSPELL GERMAN LUCENE FILTER|ANY_CANDIDATE|0.720422|0.294951|0.999996|0.647474|0.999974|0.000026|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|0.981996|0.957658|0.934498|0.918757|0.958476|0.958475|
-|2|HUNSPELL GERMAN LUCENE FILTER|ANY_CANDIDATE|0.559116|0.418544|0.334456|0.264658|0.460966|0.460956|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL GERMAN LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1272705|1375|111167|44095244604|1375 / 44095245979|111167 / 1383872|
-|2|HUNSPELL GERMAN LUCENE FILTER|ANY_CANDIDATE|408175|158403|975697|44095087576|158403 / 44095245979|975697 / 1383872|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|502 / 38436733893|111107 / 1344852|
+|HUNSPELL GERMAN LUCENE FILTER|83073 / 38436733893|952309 / 1344852|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.959832|244817 / 44095245979 (0.000555%)|111167 / 1383872 (8.033041%)|0.853711|0.877306|0.878234|
-|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|0.647473|242551 / 44095245979 (0.000550%)|975697 / 1383872 (70.504859%)|0.511911|0.401234|0.430118|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.958692|0.000018%|8.261653%|
+|2|HUNSPELL GERMAN LUCENE FILTER|0.645941|0.000354%|70.811435%|
 
 </div>
 
@@ -219,8 +179,8 @@ This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.838673|0.919670|0.999994|0.959832|0.999992|0.000008|
-|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|0.627261|0.294951|0.999994|0.647473|0.999972|0.000028|
+|1|Radixor|ALL_CANDIDATES|0.994469|0.917383|1.000000|0.958692|0.999997|0.000003|
+|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|0.742744|0.291886|0.999996|0.645941|0.999972|0.000028|
 
 </details>
 
@@ -228,17 +188,8 @@ This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.853711|0.877306|0.902242|0.781429|0.878238|0.878234|
-|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|0.511911|0.401234|0.329907|0.250965|0.430130|0.430118|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|0.978033|0.954372|0.931829|0.912726|0.955149|0.955147|
+|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|0.567444|0.419080|0.332218|0.265086|0.465614|0.465603|
 
 </details>
 
@@ -246,8 +197,8 @@ This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|1272705|244817|111167|44095001162|244817 / 44095245979|111167 / 1383872|
-|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|408175|242551|975697|44095003428|242551 / 44095245979|975697 / 1383872|
+|1|Radixor|ALL_CANDIDATES|1233745|6862|111107|38436727031|6862 / 38436733893|111107 / 1344852|
+|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|392543|135961|952309|38436597932|135961 / 38436733893|952309 / 1344852|
 
 </details>
 
@@ -257,27 +208,27 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|143736|96817|146625|48574|16.356314%|8|361016|
-|HUNSPELL GERMAN LUCENE FILTER|16313|45480|38668|7891|2.657135%|3|305052|
+|Radixor|129769|161|6199|29035|10.471893%|8|313927|
+|HUNSPELL GERMAN LUCENE FILTER|15152|28562|24326|6482|2.337827%|3|283881|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.966157|47898 / 11263756342 (0.000425%)|59114 / 873411 (6.768177%)|0.941996|0.938343|0.938358|
-|2|GERMAN CISTEM|PRIMARY_OUTPUT|0.915288|156784 / 11263756342 (0.001392%)|147964 / 873411 (16.940936%)|0.823934|0.826418|0.826415|
-|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|0.795926|87697 / 11263756342 (0.000779%)|356475 / 873411 (40.814118%)|0.785153|0.699487|0.711329|
-|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.775641|77653 / 11263756342 (0.000689%)|391910 / 873411 (44.871200%)|0.774111|0.672222|0.688986|
-|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.769953|55477 / 11263756342 (0.000493%)|401846 / 873411 (46.008809%)|0.790797|0.673446|0.695023|
-|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|0.716810|78723 / 11263756342 (0.000699%)|494677 / 873411 (56.637368%)|0.700519|0.569153|0.599149|
-|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.659196|84679 / 11263756342 (0.000752%)|595318 / 873411 (68.160122%)|0.598178|0.449922|0.494019|
-|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.575691|21214 / 11263756342 (0.000188%)|741190 / 873411 (84.861537%)|0.444545|0.257528|0.361168|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.966959|0.000001%|6.608210%|
+|2|GERMAN CISTEM|0.914727|0.000812%|17.053716%|
+|3|SNOWBALL GERMAN DIRECT|0.794997|0.000391%|41.000236%|
+|4|SNOWBALL GERMAN LUCENE FILTER|0.774716|0.000325%|45.056540%|
+|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|0.768968|0.000130%|46.206331%|
+|6|GERMAN LUCENE GERMAN STEM FILTER|0.716147|0.000358%|56.770194%|
+|7|HUNSPELL GERMAN LUCENE FILTER|0.659574|0.000556%|68.084626%|
+|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|0.574999|0.000045%|85.000064%|
 
 </div>
 
@@ -285,14 +236,14 @@ This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.944446|0.932318|0.999996|0.966157|0.999991|0.000009|
-|2|GERMAN CISTEM|PRIMARY_OUTPUT|0.822287|0.830591|0.999986|0.915288|0.999973|0.000027|
-|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|0.854958|0.591859|0.999992|0.795926|0.999961|0.000039|
-|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.861124|0.551288|0.999993|0.775641|0.999958|0.000042|
-|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.894739|0.539912|0.999995|0.769953|0.999959|0.000041|
-|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|0.827912|0.433626|0.999993|0.716810|0.999949|0.000051|
-|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.766578|0.318399|0.999992|0.659196|0.999940|0.000060|
-|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.861739|0.151385|0.999998|0.575691|0.999932|0.000068|
+|1|Radixor|PRIMARY_OUTPUT|0.999900|0.933918|1.000000|0.966959|0.999995|0.000005|
+|2|GERMAN CISTEM|PRIMARY_OUTPUT|0.892172|0.829463|0.999992|0.914727|0.999978|0.000022|
+|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|0.924304|0.589998|0.999996|0.794997|0.999963|0.000037|
+|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.931871|0.549435|0.999997|0.774716|0.999960|0.000040|
+|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.971001|0.537937|0.999999|0.768968|0.999961|0.000039|
+|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|0.907196|0.432298|0.999996|0.716147|0.999950|0.000050|
+|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.823043|0.319154|0.999994|0.659574|0.999939|0.000061|
+|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.964480|0.149999|1.000000|0.574999|0.999931|0.000069|
 
 </details>
 
@@ -300,29 +251,14 @@ This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.941996|0.938343|0.934719|0.883848|0.938363|0.938358|
-|2|GERMAN CISTEM|PRIMARY_OUTPUT|0.823934|0.826418|0.828917|0.704184|0.826428|0.826415|
-|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|0.785153|0.699487|0.630675|0.537854|0.711347|0.711329|
-|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.774111|0.672222|0.594035|0.506276|0.689005|0.688986|
-|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.790797|0.673446|0.586424|0.507666|0.695040|0.695023|
-|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|0.700519|0.569153|0.479277|0.397774|0.599170|0.599149|
-|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.598178|0.449922|0.360559|0.290258|0.494042|0.494019|
-|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.444545|0.257528|0.181270|0.147795|0.361184|0.361168|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.938338|0.994062|0.990664|0.992360|0.992360|
-|2|GERMAN CISTEM|PRIMARY_OUTPUT|0.826404|0.985936|0.973570|0.979714|0.979714|
-|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|0.699468|0.988418|0.932452|0.959619|0.959619|
-|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.672202|0.989021|0.919542|0.953017|0.953017|
-|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.673427|0.991320|0.915070|0.951670|0.951670|
-|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|0.569130|0.988584|0.918718|0.952371|0.952371|
-|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.449897|0.988041|0.865581|0.922766|0.922766|
-|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.257511|0.992643|0.854403|0.918349|0.918349|
+|1|Radixor|PRIMARY_OUTPUT|0.985968|0.965783|0.946408|0.933831|0.966346|0.966343|
+|2|GERMAN CISTEM|PRIMARY_OUTPUT|0.878883|0.859676|0.841289|0.753887|0.860246|0.860236|
+|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|0.830220|0.720249|0.636004|0.562804|0.738469|0.738454|
+|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.817997|0.691285|0.598564|0.528217|0.715543|0.715527|
+|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.836342|0.692324|0.590620|0.529431|0.722729|0.722714|
+|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|0.743781|0.585563|0.482850|0.413990|0.626242|0.626223|
+|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|0.625524|0.459951|0.363685|0.298660|0.512520|0.512499|
+|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.462363|0.259621|0.180482|0.149175|0.380357|0.380343|
 
 </details>
 
@@ -330,72 +266,47 @@ This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|814297|47898|59114|11263708444|47898 / 11263756342|59114 / 873411|
-|2|GERMAN CISTEM|PRIMARY_OUTPUT|725447|156784|147964|11263599558|156784 / 11263756342|147964 / 873411|
-|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|516936|87697|356475|11263668645|87697 / 11263756342|356475 / 873411|
-|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|481501|77653|391910|11263678689|77653 / 11263756342|391910 / 873411|
-|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|471565|55477|401846|11263700865|55477 / 11263756342|401846 / 873411|
-|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|378734|78723|494677|11263677619|78723 / 11263756342|494677 / 873411|
-|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|278093|84679|595318|11263671663|84679 / 11263756342|595318 / 873411|
-|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|132221|21214|741190|11263735128|21214 / 11263756342|741190 / 873411|
+|1|Radixor|PRIMARY_OUTPUT|801691|80|56726|10594963454|80 / 10594963534|56726 / 858417|
+|2|GERMAN CISTEM|PRIMARY_OUTPUT|712025|86055|146392|10594877479|86055 / 10594963534|146392 / 858417|
+|3|SNOWBALL GERMAN DIRECT|PRIMARY_OUTPUT|506464|41477|351953|10594922057|41477 / 10594963534|351953 / 858417|
+|4|SNOWBALL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|471644|34482|386773|10594929052|34482 / 10594963534|386773 / 858417|
+|5|GERMAN LUCENE GERMAN LIGHT STEM FILTER|PRIMARY_OUTPUT|461774|13791|396643|10594949743|13791 / 10594963534|396643 / 858417|
+|6|GERMAN LUCENE GERMAN STEM FILTER|PRIMARY_OUTPUT|371092|37962|487325|10594925572|37962 / 10594963534|487325 / 858417|
+|7|HUNSPELL GERMAN LUCENE FILTER|PRIMARY_OUTPUT|273967|58904|584450|10594904630|58904 / 10594963534|584450 / 858417|
+|8|GERMAN LUCENE GERMAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|128762|4742|729655|10594958792|4742 / 10594963534|729655 / 858417|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 11263756342 (0.000000%)|0 / 873411 (0.000000%)|1.000000|1.000000|1.000000|
-|2|HUNSPELL GERMAN LUCENE FILTER|ANY_CANDIDATE|0.665363|60996 / 11263756342 (0.000542%)|584547 / 873411 (66.926911%)|0.635466|0.472281|0.522540|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
+|HUNSPELL GERMAN LUCENE FILTER|0.000383%|66.866802%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-|2|HUNSPELL GERMAN LUCENE FILTER|ANY_CANDIDATE|0.825656|0.330731|0.999995|0.665363|0.999943|0.000057|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-|2|HUNSPELL GERMAN LUCENE FILTER|ANY_CANDIDATE|0.635466|0.472281|0.375782|0.309142|0.522561|0.522540|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL GERMAN LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|873411|0|0|11263756342|0 / 11263756342|0 / 873411|
-|2|HUNSPELL GERMAN LUCENE FILTER|ANY_CANDIDATE|288864|60996|584547|11263695346|60996 / 11263756342|584547 / 873411|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 10594963534|0 / 858417|
+|HUNSPELL GERMAN LUCENE FILTER|40608 / 10594963534|573996 / 858417|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999996|97544 / 11263756342 (0.000866%)|0 / 873411 (0.000000%)|0.917983|0.947112|0.948436|
-|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|0.665361|96545 / 11263756342 (0.000857%)|584547 / 873411 (66.926911%)|0.598050|0.458944|0.497855|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000014%|0.000000%|
+|2|HUNSPELL GERMAN LUCENE FILTER|0.665663|0.000629%|66.866802%|
 
 </div>
 
@@ -403,8 +314,8 @@ This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.899538|1.000000|0.999991|0.999996|0.999991|0.000009|
-|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|0.749500|0.330731|0.999991|0.665361|0.999940|0.000060|
+|1|Radixor|ALL_CANDIDATES|0.998267|1.000000|1.000000|1.000000|1.000000|0.000000|
+|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|0.810178|0.331332|0.999994|0.665663|0.999940|0.000060|
 
 </details>
 
@@ -412,17 +323,8 @@ This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.917983|0.947112|0.978152|0.899538|0.948440|0.948436|
-|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|0.598050|0.458944|0.372338|0.297811|0.497878|0.497855|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|0.998613|0.999133|0.999653|0.998267|0.999133|0.999133|
+|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|0.628511|0.470321|0.375748|0.307464|0.518110|0.518088|
 
 </details>
 
@@ -430,8 +332,8 @@ This mode contains **12 result rows**, **8 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|873411|97544|0|11263658798|97544 / 11263756342|0 / 873411|
-|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|288864|96545|584547|11263659797|96545 / 11263756342|584547 / 873411|
+|1|Radixor|ALL_CANDIDATES|858417|1490|0|10594962044|1490 / 10594963534|0 / 858417|
+|2|HUNSPELL GERMAN LUCENE FILTER|ALL_CANDIDATES|284421|66639|573996|10594896895|66639 / 10594963534|573996 / 858417|
 
 </details>
 
@@ -441,20 +343,20 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|59114|47898|49646|14978|9.978814%|8|167157|
-|HUNSPELL GERMAN LUCENE FILTER|10771|23683|11866|4989|3.323828%|3|155207|
+|Radixor|56726|80|1410|10454|7.181227%|8|157137|
+|HUNSPELL GERMAN LUCENE FILTER|10454|18296|7735|4538|3.117315%|3|150205|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -463,16 +365,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `DE_DE`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/hebrew.md

@@ -0,0 +1,295 @@
+# Hebrew Stemmer Benchmarks
+
+This page reports same-language stemming benchmarks for Hebrew. Accuracy is listed first because speed without root agreement is not enough to interpret stemmer quality.
+
+All speed values are environment-specific and were measured on the hardware and JVM listed in the [benchmark overview](../index.md). Speed benchmark operations process changed dictionary tokens only. Accuracy uses the complete Radixor dictionary for the language.
+
+The default Hebrew model currently has no same-language third-party adapter in the benchmark matrix. Its Radixor measurements are still published so the complete default-model language universe has identical corpus, command-distribution, exact-root, runtime, and pairwise-quality coverage.
+
+## Dictionary Corpus
+
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `he-il-default` | `1.0.0` | `HE_IL` | 2,358 | 61,071 | 4,715 | 56,356 | 56,356 |
+
+## Radixor Patch Command Distribution
+
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **61,071**.
+
+| Command class | Meaning | Word forms | Share |
+| --- | --- | ---: | ---: |
+| `DeletePrefixCommand` | Deletes one or more leading characters from the word form in forward traversal. | 2,188 | 3.583% |
+| `ForwardCompoundCommand` | Applies a multi-step forward patch made from skip, delete, insert, and replace operations. | 51,692 | 84.642% |
+| `PrependCharacterCommand` | Prepends one character to the beginning of the word form. | 11 | 0.018% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 4,828 | 7.906% |
+| `ReplaceFirstCharacterCommand` | Replaces the first character of the word form in forward traversal. | 2,352 | 3.851% |
+
+## Accuracy
+
+Accuracy is computed from JMH auxiliary counters in the current report. The counters are deterministic for a fixed corpus and stemmer; percentages divide matching counters by evaluated counters from the same report and are not timing metrics.
+
+| Stemmer | All exact | Changed exact | Root preserved | Note |
+| --- | ---: | ---: | ---: | --- |
+| Radixor | 98.228% | 98.172% | 98.897% | Full default-model Radixor dictionary patch-command stemmer. |
+
+## Speed
+
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread.
+
+| Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
+| --- | --- | ---: | ---: | ---: | ---: | --- |
+| Radixor | `hebrewRadixor` | 3.570 | 0.074 | 63.3 | 1.000 | Full default-model Radixor dictionary patch-command stemmer. |
+
+## Interpretation Notes
+
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
+- Hebrew patch commands use forward traversal as declared by the model metadata.
+- Results are environment-specific and should be compared only with rows from the same benchmark run.
+
+<!-- STEMMING-QUALITY:START -->
+
+## Stemming Quality
+
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `HE_IL` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
+
+`ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
+
+### Evaluation Scope and Key Findings
+
+The default model is `he-il-default`, loaded from classpath resource `org/egothor/stemmer/models/he-il-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.986075** among 1 deterministic stemmers; no same-language competitor was available. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.986075** among 1 deterministic stemmers; no same-language competitor was available. This rank does not imply leadership in throughput or every secondary metric.
+### `ALL_WORDS`
+
+This mode contains **3 result rows**, **1 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+
+#### `PRIMARY_OUTPUT` ranking
+
+<div class="quality-summary" markdown="1">
+
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.986075|0.000000%|2.784905%|
+
+</div>
+
+<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+
+| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
+|---:|---|---|---:|---:|---:|---:|---:|---:|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.972151|1.000000|0.986075|0.999988|0.000012|
+
+</details>
+
+<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
+
+| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
+|---:|---|---|---:|---:|---:|---:|---:|---:|
+|1|Radixor|PRIMARY_OUTPUT|0.994303|0.985879|0.977596|0.972151|0.985977|0.985971|
+
+</details>
+
+<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
+
+| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
+|---:|---|---|---:|---:|---:|---:|---:|---:|
+|1|Radixor|PRIMARY_OUTPUT|685765|0|19645|1661488243|0 / 1661488243|19645 / 705410|
+
+</details>
+
+#### `ANY_CANDIDATE` oracle bounds
+
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
+
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
+
+</div>
+
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
+
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 1661488243|0 / 705410|
+
+</details>
+
+#### `ALL_CANDIDATES` ranking
+
+<div class="quality-summary" markdown="1">
+
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
+
+</div>
+
+<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+
+| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
+|---:|---|---|---:|---:|---:|---:|---:|---:|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
+
+</details>
+
+<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
+
+| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
+|---:|---|---|---:|---:|---:|---:|---:|---:|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
+
+</details>
+
+<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
+
+| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
+|---:|---|---|---:|---:|---:|---:|---:|---:|
+|1|Radixor|ALL_CANDIDATES|705410|0|0|1661488243|0 / 1661488243|0 / 705410|
+
+</details>
+
+#### Multi-output analysis
+
+Alternative candidates are capability analyses, not replacements for the deterministic comparison.
+
+| Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
+|---|---:|---:|---:|---:|---:|---:|---:|
+|Radixor|19645|0|0|984|1.706615%|40|58714|
+
+### `LOWERCASE_GROUPS_ONLY`
+
+This mode contains **3 result rows**, **1 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+
+#### `PRIMARY_OUTPUT` ranking
+
+<div class="quality-summary" markdown="1">
+
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.986075|0.000000%|2.784905%|
+
+</div>
+
+<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+
+| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
+|---:|---|---|---:|---:|---:|---:|---:|---:|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.972151|1.000000|0.986075|0.999988|0.000012|
+
+</details>
+
+<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
+
+| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
+|---:|---|---|---:|---:|---:|---:|---:|---:|
+|1|Radixor|PRIMARY_OUTPUT|0.994303|0.985879|0.977596|0.972151|0.985977|0.985971|
+
+</details>
+
+<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
+
+| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
+|---:|---|---|---:|---:|---:|---:|---:|---:|
+|1|Radixor|PRIMARY_OUTPUT|685765|0|19645|1661488243|0 / 1661488243|19645 / 705410|
+
+</details>
+
+#### `ANY_CANDIDATE` oracle bounds
+
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
+
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
+
+</div>
+
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
+
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 1661488243|0 / 705410|
+
+</details>
+
+#### `ALL_CANDIDATES` ranking
+
+<div class="quality-summary" markdown="1">
+
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
+
+</div>
+
+<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+
+| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
+|---:|---|---|---:|---:|---:|---:|---:|---:|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
+
+</details>
+
+<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
+
+| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
+|---:|---|---|---:|---:|---:|---:|---:|---:|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
+
+</details>
+
+<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
+
+| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
+|---:|---|---|---:|---:|---:|---:|---:|---:|
+|1|Radixor|ALL_CANDIDATES|705410|0|0|1661488243|0 / 1661488243|0 / 705410|
+
+</details>
+
+#### Multi-output analysis
+
+Alternative candidates are capability analyses, not replacements for the deterministic comparison.
+
+| Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
+|---|---:|---:|---:|---:|---:|---:|---:|
+|Radixor|19645|0|0|984|1.706615%|40|58714|
+
+### Output Policies and Metric Definitions
+
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
+
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
+
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
+- Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
+- Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
+- Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
+- Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
+- MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
+- Jaccard index: `TP / (TP + FP + FN)`.
+- Fowlkes–Mallows index: `sqrt(precision * recall)`.
+- Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
+- Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
+
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
+
+### Provenance
+
+- Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
+- Dictionary language: `HE_IL`
+- Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
+- Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
+
+<!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/hungarian.md

@@ -8,20 +8,20 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `HU_HU` | 19,406 | 935,713 | 38,775 | 896,938 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `hu-hu-default` | `1.0.0` | `HU_HU` | 19,406 | 935,713 | 38,775 | 896,938 | 896,938 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **935,713**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **935,713**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
 | `AppendCharacterCommand` | Appends one character to the end of the word form. | 15 | 0.002% |
 | `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 149,173 | 15.942% |
-| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 746,296 | 79.757% |
-| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 40,125 | 4.288% |
+| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 750,282 | 80.183% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 36,139 | 3.862% |
 | `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 104 | 0.011% |
 
 ## Accuracy
@@ -30,25 +30,25 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 99.222% | 99.537% | 91.948% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 99.222% | 99.537% | 91.948% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene SnowballFilter | 66.445% | 66.938% | 55.043% | Lucene TokenFilter integration path around the Snowball algorithm. |
 | Official Snowball direct | 66.445% | 66.938% | 55.043% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
-| Lucene HungarianLightStemFilter | 14.748% | 14.777% | 14.086% | Light suffix stemmer; intentionally narrower than a dictionary-derived stemmer. |
+| Lucene HungarianLightStemFilter | 14.748% | 14.777% | 14.086% | Light suffix stemmer; intentionally narrower than Radixor's dictionary-trained transformation model. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `hungarianRadixor` | 62.232 | 6.412 | 69.4 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Lucene HungarianLightStemFilter | `hungarianLuceneHungarianLightStemFilter` | 92.813 | 6.929 | 103.5 | 1.491 | Light Hungarian suffix stemmer. |
-| Official Snowball direct | `snowballDirect[HUNGARIAN]` | 157.765 | 13.202 | 175.9 | 2.535 | Official Snowball generated Java stemmer; direct API. |
-| Lucene SnowballFilter | `luceneSnowballFilter[HUNGARIAN]` | 188.863 | 15.880 | 210.6 | 3.035 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
+| Radixor | `hungarianRadixor` | 52.020 | 1.337 | 58.0 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Lucene HungarianLightStemFilter | `hungarianLuceneHungarianLightStemFilter` | 87.362 | 3.444 | 97.4 | 1.679 | Light Hungarian suffix stemmer. |
+| Official Snowball direct | `snowballDirect[HUNGARIAN]` | 158.081 | 9.757 | 176.2 | 3.039 | Official Snowball generated Java stemmer; direct API. |
+| Lucene SnowballFilter | `luceneSnowballFilter[HUNGARIAN]` | 179.398 | 8.041 | 200.0 | 3.449 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -58,30 +58,30 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `HU_HU` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `HU_HU` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/hu_hu/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `hu-hu-default`, loaded from classpath resource `org/egothor/stemmer/models/hu-hu-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.995491** among 4 deterministic stemmers. The runner-up is `SNOWBALL HUNGARIAN LUCENE FILTER` at 0.822606, a difference of 0.172885. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.996163** among 4 deterministic stemmers. The runner-up is `SNOWBALL HUNGARIAN DIRECT` at 0.821708, a difference of 0.174455. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.995555** among 4 deterministic stemmers. The runner-up is `SNOWBALL HUNGARIAN LUCENE FILTER` at 0.822963, a difference of 0.172592. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.996227** among 4 deterministic stemmers. The runner-up is `SNOWBALL HUNGARIAN DIRECT` at 0.822077, a difference of 0.174151. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.995491|272900 / 419820542893 (0.000065%)|199837 / 22162103 (0.901706%)|0.988376|0.989352|0.989353|
-|2|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|0.822606|1792049 / 419820542893 (0.000427%)|7862745 / 22162103 (35.478334%)|0.826288|0.747610|0.757196|
-|3|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|0.822348|1506056 / 419820542893 (0.000359%)|7874191 / 22162103 (35.529981%)|0.837137|0.752866|0.763681|
-|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.816668|4132555 / 419820542893 (0.000984%)|8125833 / 22162103 (36.665442%)|0.740018|0.696055|0.699478|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.995555|&lt;0.000001%|0.889037%|
+|2|SNOWBALL HUNGARIAN LUCENE FILTER|0.822963|0.000378%|35.407050%|
+|3|SNOWBALL HUNGARIAN DIRECT|0.822704|0.000309%|35.458800%|
+|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|0.816967|0.000915%|36.605593%|
 
 </div>
 
@@ -89,10 +89,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.987727|0.990983|0.999999|0.995491|0.999999|0.000001|
-|2|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|0.888633|0.645217|0.999996|0.822606|0.999977|0.000023|
-|3|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|0.904644|0.644700|0.999996|0.822348|0.999978|0.000022|
-|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.772547|0.633346|0.999990|0.816668|0.999971|0.000029|
+|1|Radixor|PRIMARY_OUTPUT|0.999998|0.991110|1.000000|0.995555|1.000000|0.000000|
+|2|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|0.901236|0.645929|0.999996|0.822963|0.999977|0.000023|
+|3|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|0.917622|0.645412|0.999997|0.822704|0.999978|0.000022|
+|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.786953|0.633944|0.999991|0.816967|0.999971|0.000029|
 
 </details>
 
@@ -100,21 +100,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.988376|0.989352|0.990330|0.978929|0.989353|0.989353|
-|2|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|0.826288|0.747610|0.682613|0.596947|0.757206|0.757196|
-|3|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|0.837137|0.752866|0.684009|0.603677|0.763691|0.763681|
-|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.740018|0.696055|0.657023|0.533807|0.699492|0.699478|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.989352|0.998036|0.997809|0.997922|0.997922|
-|2|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|0.747599|0.990687|0.924490|0.956445|0.956445|
-|3|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|0.752855|0.991948|0.924304|0.956932|0.956932|
-|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.696040|0.982615|0.926772|0.953877|0.953877|
+|1|Radixor|PRIMARY_OUTPUT|0.998208|0.995534|0.992875|0.991108|0.995544|0.995544|
+|2|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|0.835212|0.752518|0.684724|0.603229|0.762978|0.762967|
+|3|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|0.846240|0.757814|0.686119|0.610064|0.769574|0.769564|
+|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.750715|0.702210|0.659593|0.541082|0.706318|0.706304|
 
 </details>
 
@@ -122,62 +111,40 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|21962266|272900|199837|419820269993|272900 / 419820542893|199837 / 22162103|
-|2|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|14299358|1792049|7862745|419818750844|1792049 / 419820542893|7862745 / 22162103|
-|3|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|14287912|1506056|7874191|419819036837|1506056 / 419820542893|7874191 / 22162103|
-|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|14036270|4132555|8125833|419816410338|4132555 / 419820542893|8125833 / 22162103|
+|1|Radixor|PRIMARY_OUTPUT|21921219|39|196636|414653743434|39 / 414653743473|196636 / 22117855|
+|2|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|14286575|1565633|7831280|414652177840|1565633 / 414653743473|7831280 / 22117855|
+|3|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|14275129|1281527|7842726|414652461946|1281527 / 414653743473|7842726 / 22117855|
+|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|14021483|3795942|8096372|414649947531|3795942 / 414653743473|8096372 / 22117855|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 419820542893 (0.000000%)|0 / 22162103 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|22162103|0|0|419820542893|0 / 419820542893|0 / 22162103|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 414653743473|0 / 22117855|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999999|460158 / 419820542893 (0.000110%)|0 / 22162103 (0.000000%)|0.983661|0.989725|0.989777|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|&lt;0.000001%|0.000000%|
 
 </div>
 
@@ -185,7 +152,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.979659|1.000000|0.999999|0.999999|0.999999|0.000001|
+|1|Radixor|ALL_CANDIDATES|0.999991|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -193,15 +160,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.983661|0.989725|0.995865|0.979659|0.989777|0.989777|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|0.999993|0.999996|0.999998|0.999991|0.999996|0.999996|
 
 </details>
 
@@ -209,7 +168,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|22162103|460158|0|419820082735|460158 / 419820542893|0 / 22162103|
+|1|Radixor|ALL_CANDIDATES|22117855|192|0|414653743281|192 / 414653743473|0 / 22117855|
 
 </details>
 
@@ -219,22 +178,22 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|199837|272900|187258|12320|1.344473%|5|929326|
+|Radixor|196636|39|153|6664|0.731754%|5|917595|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.996163|272775 / 385870694917 (0.000071%)|164277 / 21411411 (0.767240%)|0.988321|0.989820|0.989822|
-|2|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|0.821708|1496670 / 385870694917 (0.000388%)|7634885 / 21411411 (35.658019%)|0.834899|0.751079|0.761809|
-|3|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|0.821708|1496670 / 385870694917 (0.000388%)|7634885 / 21411411 (35.658019%)|0.834899|0.751079|0.761809|
-|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.815077|3639046 / 385870694917 (0.000943%)|7918708 / 21411411 (36.983588%)|0.750108|0.700135|0.704477|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.996227|&lt;0.000001%|0.754564%|
+|2|SNOWBALL HUNGARIAN DIRECT|0.822077|0.000334%|35.584346%|
+|3|SNOWBALL HUNGARIAN LUCENE FILTER|0.822077|0.000334%|35.584346%|
+|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|0.815385|0.000869%|36.922109%|
 
 </div>
 
@@ -242,10 +201,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.987325|0.992328|0.999999|0.996163|0.999999|0.000001|
-|2|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|0.902007|0.643420|0.999996|0.821708|0.999976|0.000024|
-|3|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|0.902007|0.643420|0.999996|0.821708|0.999976|0.000024|
-|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.787585|0.630164|0.999991|0.815077|0.999970|0.000030|
+|1|Radixor|PRIMARY_OUTPUT|0.999998|0.992454|1.000000|0.996227|1.000000|0.000000|
+|2|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|0.915319|0.644157|0.999997|0.822077|0.999977|0.000023|
+|3|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|0.915319|0.644157|0.999997|0.822077|0.999977|0.000023|
+|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.802756|0.630779|0.999991|0.815385|0.999971|0.000029|
 
 </details>
 
@@ -253,21 +212,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.988321|0.989820|0.991323|0.979845|0.989823|0.989822|
-|2|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|0.834899|0.751079|0.682555|0.601383|0.761820|0.761809|
-|3|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|0.834899|0.751079|0.682555|0.601383|0.761820|0.761809|
-|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.750108|0.700135|0.656404|0.538621|0.704491|0.704477|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.989819|0.997945|0.998273|0.998109|0.998109|
-|2|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|0.751068|0.991610|0.923288|0.956230|0.956230|
-|3|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|0.751068|0.991610|0.923288|0.956230|0.956230|
-|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.700120|0.983687|0.925487|0.953700|0.953700|
+|1|Radixor|PRIMARY_OUTPUT|0.998480|0.996212|0.993954|0.992453|0.996219|0.996219|
+|2|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|0.844241|0.756163|0.684726|0.607928|0.767860|0.767849|
+|3|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|0.844241|0.756163|0.684726|0.607928|0.767860|0.767849|
+|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.761246|0.706452|0.659016|0.546135|0.711591|0.711577|
 
 </details>
 
@@ -275,62 +223,40 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|21247134|272775|164277|385870422142|272775 / 385870694917|164277 / 21411411|
-|2|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|13776526|1496670|7634885|385869198247|1496670 / 385870694917|7634885 / 21411411|
-|3|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|13776526|1496670|7634885|385869198247|1496670 / 385870694917|7634885 / 21411411|
-|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|13492703|3639046|7918708|385867055871|3639046 / 385870694917|7918708 / 21411411|
+|1|Radixor|PRIMARY_OUTPUT|21206087|39|161230|380936197647|39 / 380936197686|161230 / 21367317|
+|2|SNOWBALL HUNGARIAN DIRECT|PRIMARY_OUTPUT|13763897|1273370|7603420|380934924316|1273370 / 380936197686|7603420 / 21367317|
+|3|SNOWBALL HUNGARIAN LUCENE FILTER|PRIMARY_OUTPUT|13763897|1273370|7603420|380934924316|1273370 / 380936197686|7603420 / 21367317|
+|4|HUNGARIAN LUCENE HUNGARIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|13478053|3311675|7889264|380932886011|3311675 / 380936197686|7889264 / 21367317|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 385870694917 (0.000000%)|0 / 21411411 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|21411411|0|0|385870694917|0 / 385870694917|0 / 21411411|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 380936197686|0 / 21367317|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999999|458462 / 385870694917 (0.000119%)|0 / 21411411 (0.000000%)|0.983159|0.989407|0.989462|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|&lt;0.000001%|0.000000%|
 
 </div>
 
@@ -338,7 +264,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.979037|1.000000|0.999999|0.999999|0.999999|0.000001|
+|1|Radixor|ALL_CANDIDATES|0.999991|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -346,15 +272,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.983159|0.989407|0.995736|0.979037|0.989463|0.989462|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|0.999993|0.999996|0.999998|0.999991|0.999996|0.999996|
 
 </details>
 
@@ -362,7 +280,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|21411411|458462|0|385870236455|458462 / 385870694917|0 / 21411411|
+|1|Radixor|ALL_CANDIDATES|21367317|192|0|380936197494|192 / 380936197686|0 / 21367317|
 
 </details>
 
@@ -372,19 +290,19 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|164277|272775|185687|11153|1.269532%|5|890245|
+|Radixor|161230|39|153|5518|0.632162%|5|878574|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -393,16 +311,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `HU_HU`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/index.md

@@ -1,6 +1,6 @@
 # Language Benchmark Pages
 
-This section splits Radixor stemmer benchmark results by language. Each language page preserves the existing exact-root accuracy and runtime-performance results and adds pairwise stemming-quality tables for both dictionary-processing modes.
+This section splits Radixor stemmer benchmark results by language. Each of the 20 registered default models has one language page containing the refreshed corpus, patch-command distribution, exact-root accuracy, runtime performance, and pairwise stemming-quality tables for both dictionary-processing modes.
 
 ## Reference Pages
 
@@ -23,6 +23,7 @@ This section splits Radixor stemmer benchmark results by language. Each language
 | Finnish | `FI_FI` | [Finnish](finnish.md) |
 | French | `FR_FR` | [French](french.md) |
 | German | `DE_DE` | [German](german.md) |
+| Hebrew | `HE_IL` | [Hebrew](hebrew.md) |
 | Hungarian | `HU_HU` | [Hungarian](hungarian.md) |
 | Italian | `IT_IT` | [Italian](italian.md) |
 | Norwegian Bokmal | `NB_NO` | [Norwegian Bokmal](norwegian-bokmal.md) |

docs/benchmarks/languages/italian.md

@@ -8,20 +8,20 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `IT_IT` | 10,009 | 337,546 | 20,004 | 317,542 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `it-it-default` | `1.0.0` | `IT_IT` | 10,009 | 337,546 | 20,004 | 317,542 | 317,542 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **337,546**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **337,546**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
-| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 302,171 | 89.520% |
+| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 302,089 | 89.496% |
 | `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 12,348 | 3.658% |
 | `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 20,013 | 5.929% |
-| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 3,014 | 0.893% |
+| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 3,096 | 0.917% |
 
 ## Accuracy
 
@@ -29,25 +29,25 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 99.056% | 98.997% | 100.000% | Full Radixor dictionary patch-command stemmer. |
-| Lucene ItalianLightStemFilter | 0.466% | 0.479% | 0.270% | Light suffix stemmer; intentionally narrower than a dictionary-derived stemmer. |
+| Radixor | 99.056% | 98.997% | 100.000% | Radixor dictionary-trained patch-command stemmer. |
+| Lucene ItalianLightStemFilter | 0.466% | 0.479% | 0.270% | Light suffix stemmer; intentionally narrower than Radixor's dictionary-trained transformation model. |
 | Lucene SnowballFilter | 0.041% | 0.043% | 0.010% | Lucene TokenFilter integration path around the Snowball algorithm. |
 | Official Snowball direct | 0.041% | 0.043% | 0.010% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `italianRadixor` | 24.491 | 3.128 | 77.1 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Lucene ItalianLightStemFilter | `italianLuceneItalianLightStemFilter` | 15.977 | 1.041 | 50.3 | 0.652 | Light Italian suffix stemmer. |
-| Official Snowball direct | `snowballDirect[ITALIAN]` | 109.526 | 12.572 | 344.9 | 4.472 | Official Snowball generated Java stemmer; direct API. |
-| Lucene SnowballFilter | `luceneSnowballFilter[ITALIAN]` | 116.260 | 7.459 | 366.1 | 4.747 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
+| Radixor | `italianRadixor` | 22.503 | 0.434 | 70.9 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Lucene ItalianLightStemFilter | `italianLuceneItalianLightStemFilter` | 15.008 | 0.278 | 47.3 | 0.667 | Light Italian suffix stemmer. |
+| Official Snowball direct | `snowballDirect[ITALIAN]` | 109.401 | 2.983 | 344.5 | 4.862 | Official Snowball generated Java stemmer; direct API. |
+| Lucene SnowballFilter | `luceneSnowballFilter[ITALIAN]` | 116.392 | 3.271 | 366.5 | 5.172 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -57,30 +57,30 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `IT_IT` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `IT_IT` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/it_it/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `it-it-default`, loaded from classpath resource `org/egothor/stemmer/models/it-it-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.996507** among 4 deterministic stemmers. The runner-up is `SNOWBALL ITALIAN DIRECT` at 0.866189, a difference of 0.130318. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.996512** among 4 deterministic stemmers. The runner-up is `SNOWBALL ITALIAN DIRECT` at 0.866205, a difference of 0.130307. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.996651** among 4 deterministic stemmers. The runner-up is `SNOWBALL ITALIAN DIRECT` at 0.866290, a difference of 0.130361. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.996656** among 4 deterministic stemmers. The runner-up is `SNOWBALL ITALIAN DIRECT` at 0.866307, a difference of 0.130350. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.996507|124172 / 53638521211 (0.000231%)|42908 / 6143814 (0.698394%)|0.982618|0.986492|0.986512|
-|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|0.866189|504775 / 53638521211 (0.000941%)|1644164 / 6143814 (26.761292%)|0.859975|0.807240|0.811470|
-|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|0.866189|504775 / 53638521211 (0.000941%)|1644164 / 6143814 (26.761292%)|0.859975|0.807240|0.811470|
-|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.508926|10589 / 53638521211 (0.000020%)|6034130 / 6143814 (98.214725%)|0.082782|0.035020|0.127588|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.996651|0.000000%|0.669827%|
+|2|SNOWBALL ITALIAN DIRECT|0.866290|0.000738%|26.741219%|
+|3|SNOWBALL ITALIAN LUCENE FILTER|0.866290|0.000738%|26.741219%|
+|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|0.508920|0.000005%|98.216094%|
 
 </div>
 
@@ -88,10 +88,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.980053|0.993016|0.999998|0.996507|0.999997|0.000003|
-|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|0.899134|0.732387|0.999991|0.866189|0.999960|0.000040|
-|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|0.899134|0.732387|0.999991|0.866189|0.999960|0.000040|
-|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.911959|0.017853|1.000000|0.508926|0.999887|0.000113|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.993302|1.000000|0.996651|0.999999|0.000001|
+|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|0.920474|0.732588|0.999993|0.866290|0.999961|0.000039|
+|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|0.920474|0.732588|0.999993|0.866290|0.999961|0.000039|
+|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.975468|0.017839|1.000000|0.508920|0.999885|0.000115|
 
 </details>
 
@@ -99,21 +99,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.982618|0.986492|0.990396|0.973344|0.986513|0.986512|
-|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|0.859975|0.807240|0.760598|0.676783|0.811489|0.811470|
-|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|0.859975|0.807240|0.760598|0.676783|0.811489|0.811470|
-|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.082782|0.035020|0.022207|0.017822|0.127597|0.127588|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.986490|0.995780|0.997113|0.996446|0.996446|
-|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|0.807220|0.987994|0.933408|0.959925|0.959925|
-|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|0.807220|0.987994|0.933408|0.959925|0.959925|
-|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.035016|0.997481|0.737537|0.848037|0.848037|
+|1|Radixor|PRIMARY_OUTPUT|0.998653|0.996640|0.994634|0.993302|0.996645|0.996645|
+|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|0.875563|0.815854|0.763768|0.688980|0.821175|0.821157|
+|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|0.875563|0.815854|0.763768|0.688980|0.821175|0.821157|
+|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.083115|0.035037|0.022197|0.017831|0.131914|0.131907|
 
 </details>
 
@@ -121,62 +110,40 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|6100906|124172|42908|53638397039|124172 / 53638521211|42908 / 6143814|
-|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|4499650|504775|1644164|53638016436|504775 / 53638521211|1644164 / 6143814|
-|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|4499650|504775|1644164|53638016436|504775 / 53638521211|1644164 / 6143814|
-|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|109684|10589|6034130|53638510622|10589 / 53638521211|6034130 / 6143814|
+|1|Radixor|PRIMARY_OUTPUT|6093034|0|41088|52600354673|0 / 52600354673|41088 / 6134122|
+|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|4493783|388246|1640339|52599966427|388246 / 52600354673|1640339 / 6134122|
+|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|4493783|388246|1640339|52599966427|388246 / 52600354673|1640339 / 6134122|
+|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|109427|2752|6024695|52600351921|2752 / 52600354673|6024695 / 6134122|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|0.999993|0 / 53638521211 (0.000000%)|80 / 6143814 (0.001302%)|0.999997|0.999993|0.999993|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.001304%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0.999987|1.000000|0.999993|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|0.999997|0.999993|0.999990|0.999987|0.999993|0.999993|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|6143734|0|80|53638521211|0 / 53638521211|80 / 6143814|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 52600354673|80 / 6134122|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999992|170950 / 53638521211 (0.000319%)|80 / 6143814 (0.001302%)|0.978222|0.986272|0.986363|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.999993|0.000000%|0.001304%|
 
 </div>
 
@@ -184,7 +151,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.972928|0.999987|0.999997|0.999992|0.999997|0.000003|
+|1|Radixor|ALL_CANDIDATES|1.000000|0.999987|1.000000|0.999993|1.000000|0.000000|
 
 </details>
 
@@ -192,15 +159,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.978222|0.986272|0.994455|0.972916|0.986365|0.986363|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|0.999997|0.999993|0.999990|0.999987|0.999993|0.999993|
 
 </details>
 
@@ -208,7 +167,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|6143734|170950|80|53638350261|170950 / 53638521211|80 / 6143814|
+|1|Radixor|ALL_CANDIDATES|6134042|0|80|52600354673|0 / 52600354673|80 / 6134122|
 
 </details>
 
@@ -218,22 +177,22 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|42828|124172|46778|6254|1.909321%|4|334175|
+|Radixor|41008|0|0|3069|0.946153%|4|327552|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.996512|124171 / 53611667072 (0.000232%)|42828 / 6142174 (0.697278%)|0.982617|0.986495|0.986515|
-|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|0.866205|504774 / 53611667072 (0.000942%)|1643522 / 6142174 (26.757985%)|0.859970|0.807252|0.811479|
-|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|0.866205|504774 / 53611667072 (0.000942%)|1643522 / 6142174 (26.757985%)|0.859970|0.807252|0.811479|
-|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.508927|10588 / 53611667072 (0.000020%)|6032516 / 6142174 (98.214671%)|0.082784|0.035021|0.127589|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.996656|0.000000%|0.668702%|
+|2|SNOWBALL ITALIAN DIRECT|0.866307|0.000738%|26.737902%|
+|3|SNOWBALL ITALIAN LUCENE FILTER|0.866307|0.000738%|26.737902%|
+|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|0.508920|0.000005%|98.216040%|
 
 </div>
 
@@ -241,10 +200,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.980048|0.993027|0.999998|0.996512|0.999997|0.000003|
-|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|0.899114|0.732420|0.999991|0.866205|0.999960|0.000040|
-|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|0.899114|0.732420|0.999991|0.866205|0.999960|0.000040|
-|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.911947|0.017853|1.000000|0.508927|0.999887|0.000113|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.993313|1.000000|0.996656|0.999999|0.000001|
+|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|0.920458|0.732621|0.999993|0.866307|0.999961|0.000039|
+|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|0.920458|0.732621|0.999993|0.866307|0.999961|0.000039|
+|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.975462|0.017840|1.000000|0.508920|0.999885|0.000115|
 
 </details>
 
@@ -252,21 +211,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.982617|0.986495|0.990404|0.973350|0.986516|0.986515|
-|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|0.859970|0.807252|0.760624|0.676800|0.811498|0.811479|
-|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|0.859970|0.807252|0.760624|0.676800|0.811498|0.811479|
-|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.082784|0.035021|0.022208|0.017823|0.127598|0.127589|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.986493|0.995780|0.997115|0.996447|0.996447|
-|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|0.807232|0.987991|0.933413|0.959927|0.959927|
-|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|0.807232|0.987991|0.933413|0.959927|0.959927|
-|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.035017|0.997481|0.737534|0.848035|0.848035|
+|1|Radixor|PRIMARY_OUTPUT|0.998655|0.996645|0.994643|0.993313|0.996651|0.996650|
+|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|0.875561|0.815868|0.763794|0.689001|0.821186|0.821168|
+|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|0.875561|0.815868|0.763794|0.689001|0.821186|0.821168|
+|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.083118|0.035038|0.022198|0.017832|0.131916|0.131908|
 
 </details>
 
@@ -274,62 +222,40 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|6099346|124171|42828|53611542901|124171 / 53611667072|42828 / 6142174|
-|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|4498652|504774|1643522|53611162298|504774 / 53611667072|1643522 / 6142174|
-|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|4498652|504774|1643522|53611162298|504774 / 53611667072|1643522 / 6142174|
-|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|109658|10588|6032516|53611656484|10588 / 53611667072|6032516 / 6142174|
+|1|Radixor|PRIMARY_OUTPUT|6091474|0|41008|52574085988|0 / 52574085988|41008 / 6132482|
+|2|SNOWBALL ITALIAN DIRECT|PRIMARY_OUTPUT|4492785|388246|1639697|52573697742|388246 / 52574085988|1639697 / 6132482|
+|3|SNOWBALL ITALIAN LUCENE FILTER|PRIMARY_OUTPUT|4492785|388246|1639697|52573697742|388246 / 52574085988|1639697 / 6132482|
+|4|ITALIAN LUCENE ITALIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|109401|2752|6023081|52574083236|2752 / 52574085988|6023081 / 6132482|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 53611667072 (0.000000%)|0 / 6142174 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|6142174|0|0|53611667072|0 / 53611667072|0 / 6142174|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 52574085988|0 / 6132482|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999998|170949 / 53611667072 (0.000319%)|0 / 6142174 (0.000000%)|0.978219|0.986275|0.986366|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -337,7 +263,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.972922|1.000000|0.999997|0.999998|0.999997|0.000003|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -345,15 +271,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.978219|0.986275|0.994464|0.972922|0.986368|0.986366|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -361,7 +279,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|6142174|170949|0|53611496123|170949 / 53611667072|0 / 6142174|
+|1|Radixor|ALL_CANDIDATES|6132482|0|0|52574085988|0 / 52574085988|0 / 6132482|
 
 </details>
 
@@ -371,19 +289,19 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|42828|124171|46778|6252|1.909188%|4|334089|
+|Radixor|41008|0|0|3068|0.946081%|4|327469|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -392,16 +310,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `IT_IT`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/norwegian-bokmal.md

@@ -8,21 +8,21 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `NB_NO` | 17,929 | 90,757 | 33,376 | 57,381 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `nb-no-default` | `1.0.0` | `NB_NO` | 17,929 | 90,757 | 33,376 | 57,381 | 57,381 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **90,757**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **90,757**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
-| `AppendCharacterCommand` | Appends one character to the end of the word form. | 1,500 | 1.653% |
-| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 4,296 | 4.734% |
-| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 47,619 | 52.469% |
-| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 34,420 | 37.925% |
-| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 2,922 | 3.220% |
+| `AppendCharacterCommand` | Appends one character to the end of the word form. | 2,528 | 2.785% |
+| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 4,258 | 4.692% |
+| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 48,925 | 53.908% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 32,086 | 35.354% |
+| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 2,960 | 3.261% |
 
 ## Accuracy
 
@@ -30,27 +30,27 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 96.852% | 97.637% | 95.503% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 96.852% | 97.637% | 95.503% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene NorwegianMinimalStemFilter | 57.107% | 53.913% | 62.599% | Minimal suffix reducer; narrow baseline, not a full stemmer. |
 | Official Snowball direct | 54.824% | 51.791% | 60.040% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
 | Lucene SnowballFilter | 54.803% | 51.780% | 60.001% | Lucene TokenFilter integration path around the Snowball algorithm. |
-| Lucene NorwegianLightStemFilter | 52.136% | 50.616% | 54.749% | Light suffix stemmer; intentionally narrower than a dictionary-derived stemmer. |
+| Lucene NorwegianLightStemFilter | 52.136% | 50.616% | 54.749% | Light suffix stemmer; intentionally narrower than Radixor's dictionary-trained transformation model. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `norwegianBokmalRadixor` | 3.631 | 1.377 | 63.3 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Lucene NorwegianMinimalStemFilter | `norwegianBokmalLuceneNorwegianMinimalStemFilter` | 2.910 | 0.177 | 50.7 | 0.801 | Minimal Norwegian suffix reducer. |
-| Lucene NorwegianLightStemFilter | `norwegianBokmalLuceneNorwegianLightStemFilter` | 3.335 | 0.116 | 58.1 | 0.919 | Light Norwegian suffix stemmer. |
-| Official Snowball direct | `snowballDirect[NORWEGIAN_BOKMAL]` | 4.277 | 0.082 | 74.5 | 1.178 | Official Snowball generated Java stemmer; direct API. |
-| Lucene SnowballFilter | `luceneSnowballFilter[NORWEGIAN_BOKMAL]` | 6.077 | 0.208 | 105.9 | 1.674 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
+| Radixor | `norwegianBokmalRadixor` | 3.240 | 0.087 | 56.5 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Lucene NorwegianMinimalStemFilter | `norwegianBokmalLuceneNorwegianMinimalStemFilter` | 2.726 | 0.022 | 47.5 | 0.841 | Minimal Norwegian suffix reducer. |
+| Lucene NorwegianLightStemFilter | `norwegianBokmalLuceneNorwegianLightStemFilter` | 3.136 | 0.028 | 54.6 | 0.968 | Light Norwegian suffix stemmer. |
+| Official Snowball direct | `snowballDirect[NORWEGIAN_BOKMAL]` | 4.711 | 0.410 | 82.1 | 1.454 | Official Snowball generated Java stemmer; direct API. |
+| Lucene SnowballFilter | `luceneSnowballFilter[NORWEGIAN_BOKMAL]` | 5.681 | 0.206 | 99.0 | 1.753 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -60,31 +60,31 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `NB_NO` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `NB_NO` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/nb_no/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `nb-no-default`, loaded from classpath resource `org/egothor/stemmer/models/nb-no-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.974783** among 5 deterministic stemmers. The runner-up is `SNOWBALL NORWEGIAN BOKMAL DIRECT` at 0.874964, a difference of 0.099819. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.975000** among 5 deterministic stemmers. The runner-up is `SNOWBALL NORWEGIAN BOKMAL DIRECT` at 0.874991, a difference of 0.100009. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.976021** among 5 deterministic stemmers. The runner-up is `SNOWBALL NORWEGIAN BOKMAL DIRECT` at 0.874259, a difference of 0.101762. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.976240** among 5 deterministic stemmers. The runner-up is `SNOWBALL NORWEGIAN BOKMAL DIRECT` at 0.874286, a difference of 0.101954. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.974783|11482 / 2835618215 (0.000405%)|7170 / 142180 (5.042903%)|0.927078|0.935387|0.935488|
-|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|0.874964|23997 / 2835618215 (0.000846%)|35554 / 142180 (25.006330%)|0.802095|0.781707|0.782399|
-|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|0.874834|24046 / 2835618215 (0.000848%)|35591 / 142180 (25.032353%)|0.801759|0.781401|0.782091|
-|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.850006|25171 / 2835618215 (0.000888%)|42651 / 142180 (29.997890%)|0.776381|0.745871|0.747464|
-|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.832414|14772 / 2835618215 (0.000521%)|47654 / 142180 (33.516669%)|0.815763|0.751764|0.758263|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.976021|0.000000%|4.795770%|
+|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|0.874259|0.000386%|25.147805%|
+|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|0.874138|0.000389%|25.171937%|
+|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|0.849389|0.000416%|30.121722%|
+|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|0.831282|0.000110%|33.743568%|
 
 </div>
 
@@ -92,11 +92,11 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.921620|0.949571|0.999996|0.974783|0.999993|0.000007|
-|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|0.816288|0.749937|0.999992|0.874964|0.999979|0.000021|
-|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|0.815930|0.749676|0.999992|0.874834|0.999979|0.000021|
-|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.798148|0.700021|0.999991|0.850006|0.999976|0.000024|
-|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.864847|0.664833|0.999995|0.832414|0.999978|0.000022|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.952042|1.000000|0.976021|0.999997|0.000003|
+|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|0.910734|0.748522|0.999996|0.874259|0.999983|0.000017|
+|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|0.910189|0.748281|0.999996|0.874138|0.999983|0.000017|
+|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.898501|0.698783|0.999996|0.849389|0.999980|0.000020|
+|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.969387|0.662564|0.999999|0.831282|0.999981|0.000019|
 
 </details>
 
@@ -104,23 +104,11 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.927078|0.935387|0.943846|0.878617|0.935491|0.935488|
-|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|0.802095|0.781707|0.762330|0.641641|0.782409|0.782399|
-|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|0.801759|0.781401|0.762052|0.641229|0.782102|0.782091|
-|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.776381|0.745871|0.717668|0.594732|0.747476|0.747464|
-|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.815763|0.751764|0.697076|0.602261|0.758274|0.758263|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.935384|0.993354|0.994615|0.993984|0.993984|
-|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|0.781696|0.988328|0.971120|0.979648|0.979648|
-|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|0.781391|0.988295|0.971086|0.979615|0.979615|
-|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.745859|0.987774|0.965622|0.976573|0.976573|
-|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.751753|0.992089|0.962516|0.977079|0.977079|
+|1|Radixor|PRIMARY_OUTPUT|0.990026|0.975432|0.961262|0.952042|0.975727|0.975725|
+|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|0.872901|0.821699|0.776171|0.697359|0.825654|0.825646|
+|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|0.872435|0.821332|0.775884|0.696830|0.825274|0.825266|
+|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.849918|0.786156|0.731293|0.647658|0.792374|0.792365|
+|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.887216|0.787133|0.707341|0.648985|0.801425|0.801417|
 
 </details>
 
@@ -128,63 +116,41 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|135010|11482|7170|2835606733|11482 / 2835618215|7170 / 142180|
-|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|106626|23997|35554|2835594218|23997 / 2835618215|35554 / 142180|
-|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|106589|24046|35591|2835594169|24046 / 2835618215|35591 / 142180|
-|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|99529|25171|42651|2835593044|25171 / 2835618215|42651 / 142180|
-|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|94526|14772|47654|2835603443|14772 / 2835618215|47654 / 142180|
+|1|Radixor|PRIMARY_OUTPUT|134138|0|6757|2676746970|0 / 2676746970|6757 / 140895|
+|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|105463|10337|35432|2676736633|10337 / 2676746970|35432 / 140895|
+|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|105429|10403|35466|2676736567|10403 / 2676746970|35466 / 140895|
+|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|98455|11122|42440|2676735848|11122 / 2676746970|42440 / 140895|
+|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|93352|2948|47543|2676744022|2948 / 2676746970|47543 / 140895|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 2835618215 (0.000000%)|0 / 142180 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|142180|0|0|2835618215|0 / 2835618215|0 / 142180|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 2676746970|0 / 140895|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999996|20161 / 2835618215 (0.000711%)|0 / 142180 (0.000000%)|0.898118|0.933794|0.935844|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -192,7 +158,7 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.875811|1.000000|0.999993|0.999996|0.999993|0.000007|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -200,15 +166,7 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.898118|0.933794|0.972422|0.875811|0.935848|0.935844|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -216,7 +174,7 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|142180|20161|0|2835598054|20161 / 2835618215|0 / 142180|
+|1|Radixor|ALL_CANDIDATES|140895|0|0|2676746970|0 / 2676746970|0 / 140895|
 
 </details>
 
@@ -226,23 +184,23 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|7170|11482|8679|4237|5.626079%|9|79825|
+|Radixor|6757|0|0|2097|2.865929%|9|75343|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.975000|11482 / 2831176784 (0.000406%)|7104 / 142091 (4.999613%)|0.927151|0.935591|0.935695|
-|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|0.874991|23997 / 2831176784 (0.000848%)|35524 / 142091 (25.000880%)|0.802043|0.781698|0.782388|
-|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|0.874798|23993 / 2831176784 (0.000847%)|35579 / 142091 (25.039587%)|0.801914|0.781464|0.782161|
-|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.849947|25118 / 2831176784 (0.000887%)|42641 / 142091 (30.009642%)|0.776513|0.745896|0.747500|
-|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.832344|14719 / 2831176784 (0.000520%)|47644 / 142091 (33.530625%)|0.815950|0.751796|0.758325|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.976240|0.000000%|4.751928%|
+|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|0.874286|0.000387%|25.142395%|
+|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|0.874101|0.000387%|25.179325%|
+|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|0.849330|0.000414%|30.133659%|
+|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|0.831210|0.000108%|33.757794%|
 
 </div>
 
@@ -250,11 +208,11 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.921608|0.950004|0.999996|0.975000|0.999993|0.000007|
-|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|0.816205|0.749991|0.999992|0.874991|0.999979|0.000021|
-|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|0.816153|0.749604|0.999992|0.874798|0.999979|0.000021|
-|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.798359|0.699904|0.999991|0.849947|0.999976|0.000024|
-|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.865169|0.664694|0.999995|0.832344|0.999978|0.000022|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.952481|1.000000|0.976240|0.999997|0.000003|
+|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|0.910689|0.748576|0.999996|0.874286|0.999983|0.000017|
+|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|0.910546|0.748207|0.999996|0.874101|0.999983|0.000017|
+|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.898862|0.698663|0.999996|0.849330|0.999980|0.000020|
+|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.969896|0.662422|0.999999|0.831210|0.999981|0.000019|
 
 </details>
 
@@ -262,23 +220,11 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.927151|0.935591|0.944186|0.878976|0.935698|0.935695|
-|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|0.802043|0.781698|0.762360|0.641630|0.782398|0.782388|
-|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|0.801914|0.781464|0.762031|0.641314|0.782171|0.782161|
-|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.776513|0.745896|0.717603|0.594765|0.747512|0.747500|
-|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.815950|0.751796|0.696995|0.602302|0.758335|0.758325|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.935587|0.993348|0.994694|0.994020|0.994020|
-|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|0.781688|0.988318|0.971127|0.979647|0.979647|
-|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|0.781454|0.988310|0.971074|0.979616|0.979616|
-|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.745885|0.987789|0.965603|0.976570|0.976570|
-|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.751785|0.992107|0.962494|0.977076|0.977076|
+|1|Radixor|PRIMARY_OUTPUT|0.990121|0.975662|0.961620|0.952481|0.975951|0.975950|
+|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|0.872882|0.821713|0.776211|0.697379|0.825663|0.825655|
+|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|0.872677|0.821432|0.775872|0.696975|0.825395|0.825387|
+|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.850142|0.786219|0.731236|0.647743|0.792466|0.792457|
+|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.887506|0.787200|0.707265|0.649077|0.801549|0.801541|
 
 </details>
 
@@ -286,63 +232,41 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|134987|11482|7104|2831165302|11482 / 2831176784|7104 / 142091|
-|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|106567|23997|35524|2831152787|23997 / 2831176784|35524 / 142091|
-|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|106512|23993|35579|2831152791|23993 / 2831176784|35579 / 142091|
-|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|99450|25118|42641|2831151666|25118 / 2831176784|42641 / 142091|
-|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|94447|14719|47644|2831162065|14719 / 2831176784|47644 / 142091|
+|1|Radixor|PRIMARY_OUTPUT|134115|0|6691|2672431799|0 / 2672431799|6691 / 140806|
+|2|SNOWBALL NORWEGIAN BOKMAL DIRECT|PRIMARY_OUTPUT|105404|10337|35402|2672421462|10337 / 2672431799|35402 / 140806|
+|3|SNOWBALL NORWEGIAN BOKMAL LUCENE FILTER|PRIMARY_OUTPUT|105352|10350|35454|2672421449|10350 / 2672431799|35454 / 140806|
+|4|NORWEGIAN BOKMAL LUCENE NORWEGIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|98376|11069|42430|2672420730|11069 / 2672431799|42430 / 140806|
+|5|NORWEGIAN BOKMAL LUCENE NORWEGIAN MINIMAL STEM FILTER|PRIMARY_OUTPUT|93273|2895|47533|2672428904|2895 / 2672431799|47533 / 140806|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 2831176784 (0.000000%)|0 / 142091 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|142091|0|0|2831176784|0 / 2831176784|0 / 142091|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 2672431799|0 / 140806|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999996|20161 / 2831176784 (0.000712%)|0 / 142091 (0.000000%)|0.898061|0.933756|0.935808|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -350,7 +274,7 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.875743|1.000000|0.999993|0.999996|0.999993|0.000007|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -358,15 +282,7 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.898061|0.933756|0.972405|0.875743|0.935811|0.935808|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -374,7 +290,7 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|142091|20161|0|2831156623|20161 / 2831176784|0 / 142091|
+|1|Radixor|ALL_CANDIDATES|140806|0|0|2672431799|0 / 2672431799|0 / 140806|
 
 </details>
 
@@ -384,19 +300,19 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|7104|11482|8679|4204|5.586637%|9|79733|
+|Radixor|6691|0|0|2064|2.823105%|9|75251|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -405,16 +321,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `NB_NO`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/norwegian-nynorsk.md

@@ -8,21 +8,21 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `NN_NO` | 4,688 | 19,651 | 6,089 | 13,562 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `nn-no-default` | `1.0.0` | `NN_NO` | 4,688 | 19,651 | 6,089 | 13,562 | 13,562 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **19,651**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **19,651**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
-| `AppendCharacterCommand` | Appends one character to the end of the word form. | 224 | 1.140% |
-| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 1,505 | 7.659% |
-| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 11,017 | 56.063% |
-| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 6,427 | 32.706% |
-| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 478 | 2.432% |
+| `AppendCharacterCommand` | Appends one character to the end of the word form. | 312 | 1.588% |
+| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 1,456 | 7.409% |
+| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 11,325 | 57.631% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 6,031 | 30.691% |
+| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 527 | 2.682% |
 
 ## Accuracy
 
@@ -30,23 +30,23 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 93.089% | 91.395% | 96.863% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 93.089% | 91.395% | 96.863% | Radixor dictionary-trained patch-command stemmer. |
 | Official Snowball direct | 60.974% | 60.212% | 62.670% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
 | Lucene SnowballFilter | 60.918% | 60.146% | 62.638% | Lucene TokenFilter integration path around the Snowball algorithm. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `radixor[NORWEGIAN_NYNORSK]` | 0.571 | 0.012 | 42.1 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Official Snowball direct | `snowballDirect[NORWEGIAN_NYNORSK]` | 0.919 | 0.038 | 67.7 | 1.609 | Official Snowball generated Java stemmer; direct API. |
-| Lucene SnowballFilter | `luceneSnowballFilter[NORWEGIAN_NYNORSK]` | 1.309 | 0.015 | 96.5 | 2.292 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
+| Radixor | `radixor[NORWEGIAN_NYNORSK]` | 0.584 | 0.057 | 43.1 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Official Snowball direct | `snowballDirect[NORWEGIAN_NYNORSK]` | 1.087 | 0.097 | 80.2 | 1.861 | Official Snowball generated Java stemmer; direct API. |
+| Lucene SnowballFilter | `luceneSnowballFilter[NORWEGIAN_NYNORSK]` | 1.256 | 0.095 | 92.6 | 2.149 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -56,29 +56,29 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `NN_NO` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `NN_NO` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/nn_no/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `nn-no-default`, loaded from classpath resource `org/egothor/stemmer/models/nn-no-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.935777** among 3 deterministic stemmers. The runner-up is `SNOWBALL NORWEGIAN NYNORSK DIRECT` at 0.858908, a difference of 0.076869. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.935853** among 3 deterministic stemmers. The runner-up is `SNOWBALL NORWEGIAN NYNORSK DIRECT` at 0.859037, a difference of 0.076816. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.950991** among 3 deterministic stemmers. The runner-up is `SNOWBALL NORWEGIAN NYNORSK DIRECT` at 0.868094, a difference of 0.082897. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.951104** among 3 deterministic stemmers. The runner-up is `SNOWBALL NORWEGIAN NYNORSK DIRECT` at 0.868252, a difference of 0.082852. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.935777|6230 / 166491473 (0.003742%)|3936 / 30652 (12.840924%)|0.822355|0.840152|0.840669|
-|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|0.858908|8274 / 166491473 (0.004970%)|8648 / 30652 (28.213493%)|0.724941|0.722271|0.722234|
-|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|0.858484|8295 / 166491473 (0.004982%)|8674 / 30652 (28.298317%)|0.724180|0.721477|0.721440|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.950991|0.000000%|9.801848%|
+|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|0.868094|0.000838%|26.380368%|
+|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|0.867636|0.000852%|26.472040%|
 
 </div>
 
@@ -86,9 +86,9 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.810903|0.871591|0.999963|0.935777|0.999939|0.000061|
-|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|0.726732|0.717865|0.999950|0.858908|0.999898|0.000102|
-|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|0.725993|0.717017|0.999950|0.858484|0.999898|0.000102|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.901982|1.000000|0.950991|0.999981|0.000019|
+|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|0.945609|0.736196|0.999992|0.868094|0.999939|0.000061|
+|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|0.944646|0.735280|0.999991|0.867636|0.999939|0.000061|
 
 </details>
 
@@ -96,19 +96,9 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.822355|0.840152|0.858737|0.724364|0.840699|0.840669|
-|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|0.724941|0.722271|0.719621|0.565278|0.722285|0.722234|
-|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|0.724180|0.721477|0.718794|0.564305|0.721491|0.721440|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.840122|0.983845|0.986802|0.985321|0.985321|
-|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|0.722221|0.980542|0.964998|0.972708|0.972708|
-|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|0.721426|0.980461|0.964862|0.972599|0.972599|
+|1|Radixor|PRIMARY_OUTPUT|0.978728|0.948465|0.920017|0.901982|0.949727|0.949718|
+|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|0.894709|0.827865|0.770315|0.706288|0.834359|0.834331|
+|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|0.893748|0.826916|0.769384|0.704908|0.833414|0.833386|
 
 </details>
 
@@ -116,61 +106,39 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|26716|6230|3936|166485243|6230 / 166491473|3936 / 30652|
-|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|22004|8274|8648|166483199|8274 / 166491473|8648 / 30652|
-|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|21978|8295|8674|166483178|8295 / 166491473|8674 / 30652|
+|1|Radixor|PRIMARY_OUTPUT|25582|0|2780|143394154|0 / 143394154|2780 / 28362|
+|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|20880|1201|7482|143392953|1201 / 143394154|7482 / 28362|
+|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|20854|1222|7508|143392932|1222 / 143394154|7508 / 28362|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 166491473 (0.000000%)|0 / 30652 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|30652|0|0|166491473|0 / 166491473|0 / 30652|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 143394154|0 / 28362|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999960|13214 / 166491473 (0.007937%)|0 / 30652 (0.000000%)|0.743562|0.822674|0.835888|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -178,7 +146,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.698764|1.000000|0.999921|0.999960|0.999921|0.000079|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -186,15 +154,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.743562|0.822674|0.920624|0.698764|0.835921|0.835888|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -202,7 +162,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|30652|13214|0|166478259|13214 / 166491473|0 / 30652|
+|1|Radixor|ALL_CANDIDATES|28362|0|0|143394154|0 / 143394154|0 / 28362|
 
 </details>
 
@@ -212,21 +172,21 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|3936|6230|6984|2404|13.172603%|5|21513|
+|Radixor|2780|0|0|1091|6.441519%|5|18255|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.935853|6230 / 165926276 (0.003755%)|3924 / 30595 (12.825625%)|0.822169|0.840084|0.840609|
-|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|0.859037|8274 / 165926276 (0.004987%)|8624 / 30595 (28.187612%)|0.724757|0.722255|0.722216|
-|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|0.858661|8274 / 165926276 (0.004987%)|8647 / 30595 (28.262788%)|0.724438|0.721772|0.721734|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.951104|0.000000%|9.779191%|
+|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|0.868252|0.000841%|26.348702%|
+|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|0.867846|0.000841%|26.429959%|
 
 </div>
 
@@ -234,9 +194,9 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.810644|0.871744|0.999962|0.935853|0.999939|0.000061|
-|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|0.726434|0.718124|0.999950|0.859037|0.999898|0.000102|
-|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|0.726226|0.717372|0.999950|0.858661|0.999898|0.000102|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.902208|1.000000|0.951104|0.999981|0.000019|
+|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|0.945528|0.736513|0.999992|0.868252|0.999939|0.000061|
+|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|0.945471|0.735700|0.999992|0.867846|0.999939|0.000061|
 
 </details>
 
@@ -244,19 +204,9 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.822169|0.840084|0.858798|0.724263|0.840639|0.840609|
-|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|0.724757|0.722255|0.719771|0.565258|0.722267|0.722216|
-|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|0.724438|0.721772|0.719126|0.564666|0.721785|0.721734|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.840054|0.983815|0.986842|0.985326|0.985326|
-|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|0.722204|0.980506|0.965065|0.972724|0.972724|
-|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|0.721721|0.980506|0.964945|0.972663|0.972663|
+|1|Radixor|PRIMARY_OUTPUT|0.978782|0.948590|0.920206|0.902208|0.949846|0.949837|
+|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|0.894744|0.828034|0.770581|0.706534|0.834502|0.834474|
+|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|0.894463|0.827499|0.769862|0.705755|0.834016|0.833989|
 
 </details>
 
@@ -264,61 +214,39 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|26671|6230|3924|165920046|6230 / 165926276|3924 / 30595|
-|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|21971|8274|8624|165918002|8274 / 165926276|8624 / 30595|
-|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|21948|8274|8647|165918002|8274 / 165926276|8647 / 30595|
+|1|Radixor|PRIMARY_OUTPUT|25537|0|2768|142869660|0 / 142869660|2768 / 28305|
+|2|SNOWBALL NORWEGIAN NYNORSK DIRECT|PRIMARY_OUTPUT|20847|1201|7458|142868459|1201 / 142869660|7458 / 28305|
+|3|SNOWBALL NORWEGIAN NYNORSK LUCENE FILTER|PRIMARY_OUTPUT|20824|1201|7481|142868459|1201 / 142869660|7481 / 28305|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 165926276 (0.000000%)|0 / 30595 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|30595|0|0|165926276|0 / 165926276|0 / 30595|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 142869660|0 / 28305|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999960|13214 / 165926276 (0.007964%)|0 / 30595 (0.000000%)|0.743207|0.822402|0.835654|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -326,7 +254,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.698372|1.000000|0.999920|0.999960|0.999920|0.000080|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -334,15 +262,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.743207|0.822402|0.920488|0.698372|0.835687|0.835654|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -350,7 +270,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|30595|13214|0|165913062|13214 / 165926276|0 / 30595|
+|1|Radixor|ALL_CANDIDATES|28305|0|0|142869660|0 / 142869660|0 / 28305|
 
 </details>
 
@@ -360,19 +280,19 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|3924|6230|6984|2399|13.167572%|5|21477|
+|Radixor|2768|0|0|1086|6.423755%|5|18219|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -381,16 +301,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `NN_NO`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/persian.md

@@ -8,13 +8,13 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `FA_IR` | 69 | 3,770 | 138 | 3,632 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `fa-ir-default` | `1.0.0` | `FA_IR` | 69 | 3,770 | 138 | 3,632 | 5,000 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **3,770**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **3,770**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
@@ -28,21 +28,23 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 95.836% | 95.677% | 100.000% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 95.836% | 95.677% | 100.000% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene PersianStemFilter | 1.485% | 0.000% | 40.580% | Lucene Persian suffix stemmer with required normalization in the measured path. |
+| Official Snowball direct | 3.660% | 0.000% | 100.000% | Official Snowball 3.1.0 generated Java stemmer; rule-based suffix algorithm. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `persianRadixor` | 0.245 | 0.025 | 49.0 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Lucene PersianStemFilter | `persianLucenePersianStemFilter` | 0.466 | 0.015 | 93.3 | 1.902 | Persian suffix stemmer with Lucene normalization in the measured path. |
+| Radixor | `persianRadixor` | 0.230 | 0.003 | 46.0 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Lucene PersianStemFilter | `persianLucenePersianStemFilter` | 0.448 | 0.009 | 89.5 | 1.948 | Persian suffix stemmer with Lucene normalization in the measured path. |
+| Official Snowball direct | `snowballDirect[PERSIAN]` | 1.490 | 0.055 | 298.1 | 6.486 | Official Snowball 3.1.0 generated Java stemmer; direct API. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -52,28 +54,29 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `FA_IR` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `FA_IR` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/fa_ir/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `fa-ir-default`, loaded from classpath resource `org/egothor/stemmer/models/fa-ir-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.974922** among 2 deterministic stemmers. The runner-up is `PERSIAN LUCENE PERSIAN STEM FILTER` at 0.502171, a difference of 0.472751. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.974922** among 2 deterministic stemmers. The runner-up is `PERSIAN LUCENE PERSIAN STEM FILTER` at 0.502171, a difference of 0.472751. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.976360** among 3 deterministic stemmers. The runner-up is `SNOWBALL PERSIAN DIRECT` at 0.535123, a difference of 0.441236. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.976360** among 3 deterministic stemmers. The runner-up is `SNOWBALL PERSIAN DIRECT` at 0.535123, a difference of 0.441236. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **4 result rows**, **2 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.974922|8621 / 6748402 (0.127749%)|4812 / 98448 (4.887860%)|0.922566|0.933071|0.932249|
-|2|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|0.502171|179 / 6748402 (0.002652%)|98018 / 98448 (99.563221%)|0.021312|0.008682|0.054801|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.976360|0.000000%|4.728041%|
+|2|SNOWBALL PERSIAN DIRECT|0.535123|0.001278%|92.974054%|
+|3|PERSIAN LUCENE PERSIAN STEM FILTER|0.502212|0.000049%|99.557494%|
 
 </div>
 
@@ -81,8 +84,9 @@ This mode contains **4 result rows**, **2 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.915693|0.951121|0.998723|0.974922|0.998038|0.001962|
-|2|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|0.706076|0.004368|0.999973|0.502171|0.985658|0.014342|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.952720|1.000000|0.976360|0.999277|0.000723|
+|2|SNOWBALL PERSIAN DIRECT|PRIMARY_OUTPUT|0.988428|0.070259|0.999987|0.535123|0.985764|0.014236|
+|3|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|0.992991|0.004425|1.000000|0.502212|0.984769|0.015231|
 
 </details>
 
@@ -90,17 +94,9 @@ This mode contains **4 result rows**, **2 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.922566|0.933071|0.943818|0.874539|0.933239|0.932249|
-|2|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|0.021312|0.008682|0.005451|0.004360|0.055534|0.054801|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.932076|0.980343|0.984586|0.982460|0.982460|
-|2|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|0.008507|0.985686|0.520347|0.681125|0.681125|
+|1|Radixor|PRIMARY_OUTPUT|0.990172|0.975787|0.961815|0.952720|0.976074|0.975715|
+|2|SNOWBALL PERSIAN DIRECT|PRIMARY_OUTPUT|0.273526|0.131193|0.086291|0.070202|0.263527|0.261598|
+|3|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|0.021738|0.008811|0.005525|0.004425|0.066288|0.065774|
 
 </details>
 
@@ -108,60 +104,39 @@ This mode contains **4 result rows**, **2 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|93636|8621|4812|6739781|8621 / 6748402|4812 / 98448|
-|2|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|430|179|98018|6748223|179 / 6748402|98018 / 98448|
+|1|Radixor|PRIMARY_OUTPUT|91503|0|4541|6182152|0 / 6182152|4541 / 96044|
+|2|SNOWBALL PERSIAN DIRECT|PRIMARY_OUTPUT|6748|79|89296|6182073|79 / 6182152|89296 / 96044|
+|3|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|425|3|95619|6182149|3 / 6182152|95619 / 96044|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 6748402 (0.000000%)|0 / 98448 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|98448|0|0|6748402|0 / 6748402|0 / 98448|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 6182152|0 / 96044|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999005|13433 / 6748402 (0.199055%)|0 / 98448 (0.000000%)|0.901585|0.936133|0.937114|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -169,7 +144,7 @@ This mode contains **4 result rows**, **2 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.879935|1.000000|0.998009|0.999005|0.998038|0.001962|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -177,15 +152,7 @@ This mode contains **4 result rows**, **2 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.901585|0.936133|0.973435|0.879935|0.938048|0.937114|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -193,7 +160,7 @@ This mode contains **4 result rows**, **2 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|98448|13433|0|6734969|13433 / 6748402|0 / 98448|
+|1|Radixor|ALL_CANDIDATES|96044|0|0|6182152|0 / 6182152|0 / 96044|
 
 </details>
 
@@ -203,20 +170,21 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|4812|8621|4812|314|8.484193%|2|4015|
+|Radixor|4541|0|0|157|4.430023%|2|3701|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **4 result rows**, **2 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.974922|8621 / 6748402 (0.127749%)|4812 / 98448 (4.887860%)|0.922566|0.933071|0.932249|
-|2|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|0.502171|179 / 6748402 (0.002652%)|98018 / 98448 (99.563221%)|0.021312|0.008682|0.054801|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.976360|0.000000%|4.728041%|
+|2|SNOWBALL PERSIAN DIRECT|0.535123|0.001278%|92.974054%|
+|3|PERSIAN LUCENE PERSIAN STEM FILTER|0.502212|0.000049%|99.557494%|
 
 </div>
 
@@ -224,8 +192,9 @@ This mode contains **4 result rows**, **2 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.915693|0.951121|0.998723|0.974922|0.998038|0.001962|
-|2|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|0.706076|0.004368|0.999973|0.502171|0.985658|0.014342|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.952720|1.000000|0.976360|0.999277|0.000723|
+|2|SNOWBALL PERSIAN DIRECT|PRIMARY_OUTPUT|0.988428|0.070259|0.999987|0.535123|0.985764|0.014236|
+|3|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|0.992991|0.004425|1.000000|0.502212|0.984769|0.015231|
 
 </details>
 
@@ -233,17 +202,9 @@ This mode contains **4 result rows**, **2 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.922566|0.933071|0.943818|0.874539|0.933239|0.932249|
-|2|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|0.021312|0.008682|0.005451|0.004360|0.055534|0.054801|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.932076|0.980343|0.984586|0.982460|0.982460|
-|2|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|0.008507|0.985686|0.520347|0.681125|0.681125|
+|1|Radixor|PRIMARY_OUTPUT|0.990172|0.975787|0.961815|0.952720|0.976074|0.975715|
+|2|SNOWBALL PERSIAN DIRECT|PRIMARY_OUTPUT|0.273526|0.131193|0.086291|0.070202|0.263527|0.261598|
+|3|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|0.021738|0.008811|0.005525|0.004425|0.066288|0.065774|
 
 </details>
 
@@ -251,60 +212,39 @@ This mode contains **4 result rows**, **2 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|93636|8621|4812|6739781|8621 / 6748402|4812 / 98448|
-|2|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|430|179|98018|6748223|179 / 6748402|98018 / 98448|
+|1|Radixor|PRIMARY_OUTPUT|91503|0|4541|6182152|0 / 6182152|4541 / 96044|
+|2|SNOWBALL PERSIAN DIRECT|PRIMARY_OUTPUT|6748|79|89296|6182073|79 / 6182152|89296 / 96044|
+|3|PERSIAN LUCENE PERSIAN STEM FILTER|PRIMARY_OUTPUT|425|3|95619|6182149|3 / 6182152|95619 / 96044|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 6748402 (0.000000%)|0 / 98448 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|98448|0|0|6748402|0 / 6748402|0 / 98448|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 6182152|0 / 96044|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999005|13433 / 6748402 (0.199055%)|0 / 98448 (0.000000%)|0.901585|0.936133|0.937114|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -312,7 +252,7 @@ This mode contains **4 result rows**, **2 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.879935|1.000000|0.998009|0.999005|0.998038|0.001962|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -320,15 +260,7 @@ This mode contains **4 result rows**, **2 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.901585|0.936133|0.973435|0.879935|0.938048|0.937114|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -336,7 +268,7 @@ This mode contains **4 result rows**, **2 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|98448|13433|0|6734969|13433 / 6748402|0 / 98448|
+|1|Radixor|ALL_CANDIDATES|96044|0|0|6182152|0 / 6182152|0 / 96044|
 
 </details>
 
@@ -346,19 +278,19 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|4812|8621|4812|314|8.484193%|2|4015|
+|Radixor|4541|0|0|157|4.430023%|2|3701|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -367,16 +299,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `FA_IR`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/polish.md

@@ -8,21 +8,21 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `PL_PL` | 9,990 | 132,308 | 19,957 | 112,351 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `pl-pl-unimorph` | `1.0.0` | `PL_PL` | 9,990 | 132,308 | 19,957 | 112,351 | 112,351 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **132,308**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **132,308**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
-| `AppendCharacterCommand` | Appends one character to the end of the word form. | 1,719 | 1.299% |
-| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 53,303 | 40.287% |
-| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 37,051 | 28.004% |
-| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 20,415 | 15.430% |
-| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 19,820 | 14.980% |
+| `AppendCharacterCommand` | Appends one character to the end of the word form. | 1,836 | 1.388% |
+| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 52,996 | 40.055% |
+| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 37,137 | 28.069% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 20,219 | 15.282% |
+| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 20,120 | 15.207% |
 
 ## Accuracy
 
@@ -30,27 +30,29 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 98.837% | 98.744% | 99.359% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 98.837% | 98.744% | 99.359% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene HunspellStemFilter | 89.545% | 88.272% | 96.713% | Benchmark-only Polish Hunspell dictionary compared via Lucene HunspellStemFilter. |
 | Lucene MorfologikFilter | 87.729% | 86.606% | 94.047% | Dictionary-based path; Morfologik can emit multiple terms. |
 | Lucene StempelFilter | 70.009% | 69.262% | 74.220% | Lucene TokenFilter integration path for table-driven Polish Stempel. |
 | Lucene StempelStemmer direct | 70.009% | 69.262% | 74.220% | Direct table-driven Polish Stempel stemmer API. |
+| Official Snowball direct | 22.315% | 20.225% | 34.078% | Official Snowball 3.1.0 generated Java stemmer; rule-based suffix algorithm. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `polishRadixor` | 9.049 | 0.485 | 80.5 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 483.316 | 11.455 | 4301.8 | 53.408 | Benchmark-only Polish Hunspell dictionary compared via Lucene HunspellStemFilter. |
-| Lucene StempelStemmer direct | `polishLuceneStempelStemmerDirect` | 41.932 | 1.916 | 373.2 | 4.634 | Direct table-driven Polish Stempel stemmer API. |
-| Lucene StempelFilter | `polishLuceneStempelFilter` | 45.277 | 13.693 | 403.0 | 5.003 | Lucene TokenFilter integration path for table-driven Polish Stempel. |
-| Lucene MorfologikFilter | `polishLuceneMorfologikFilter` | 135.763 | 31.634 | 1208.4 | 15.002 | Dictionary-based Morfologik TokenFilter; may emit multiple terms. |
+| Radixor | `polishRadixor` | 8.122 | 0.146 | 72.3 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 471.669 | 26.993 | 4198.2 | 58.070 | Benchmark-only Polish Hunspell dictionary compared via Lucene HunspellStemFilter. |
+| Lucene StempelStemmer direct | `polishLuceneStempelStemmerDirect` | 31.524 | 0.189 | 280.6 | 3.881 | Direct table-driven Polish Stempel stemmer API. |
+| Lucene StempelFilter | `polishLuceneStempelFilter` | 39.180 | 0.362 | 348.7 | 4.824 | Lucene TokenFilter integration path for table-driven Polish Stempel. |
+| Lucene MorfologikFilter | `polishLuceneMorfologikFilter` | 138.971 | 1.429 | 1236.9 | 17.110 | Dictionary-based Morfologik TokenFilter; may emit multiple terms. |
+| Official Snowball direct | `snowballDirect[POLISH]` | 9.715 | 0.858 | 86.5 | 1.196 | Official Snowball 3.1.0 generated Java stemmer; direct API. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -60,31 +62,32 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `PL_PL` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `PL_PL` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/pl_pl/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `pl-pl-unimorph`, loaded from classpath resource `org/egothor/stemmer/models/pl-pl-unimorph/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.990388** among 5 deterministic stemmers. The runner-up is `POLISH LUCENE MORFOLOGIK FILTER` at 0.948154, a difference of 0.042234. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.990579** among 5 deterministic stemmers. The runner-up is `POLISH LUCENE MORFOLOGIK FILTER` at 0.948177, a difference of 0.042402. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.991105** among 6 deterministic stemmers. The runner-up is `POLISH LUCENE MORFOLOGIK FILTER` at 0.948392, a difference of 0.042713. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.991301** among 6 deterministic stemmers. The runner-up is `POLISH LUCENE MORFOLOGIK FILTER` at 0.948417, a difference of 0.042884. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **11 result rows**, **5 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **12 result rows**, **6 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.990388|13669 / 7482478003 (0.000183%)|21547 / 1120967 (1.922180%)|0.986324|0.984237|0.984241|
-|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.948154|99228 / 7482478003 (0.001326%)|116220 / 1120967 (10.367834%)|0.907324|0.903167|0.903179|
-|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|0.933222|52652 / 7482478003 (0.000704%)|149705 / 1120967 (13.354987%)|0.930930|0.905656|0.906571|
-|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|0.855748|66669 / 7482478003 (0.000891%)|323394 / 1120967 (28.849556%)|0.871106|0.803515|0.810296|
-|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|0.855748|66669 / 7482478003 (0.000891%)|323394 / 1120967 (28.849556%)|0.871106|0.803515|0.810296|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.991105|0.000000%|1.779024%|
+|2|POLISH LUCENE MORFOLOGIK FILTER|0.948392|0.001042%|10.320543%|
+|3|HUNSPELL POLISH LUCENE FILTER|0.933457|0.000383%|13.308172%|
+|4|POLISH LUCENE STEMPEL DIRECT|0.855699|0.000602%|28.859618%|
+|5|POLISH LUCENE STEMPEL FILTER|0.855699|0.000602%|28.859618%|
+|6|SNOWBALL POLISH DIRECT|0.823625|0.000967%|35.273970%|
 
 </div>
 
@@ -92,11 +95,12 @@ This mode contains **11 result rows**, **5 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.987720|0.980778|0.999998|0.990388|0.999995|0.000005|
-|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.910118|0.896322|0.999987|0.948154|0.999971|0.000029|
-|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|0.948578|0.866450|0.999993|0.933222|0.999973|0.000027|
-|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|0.922858|0.711504|0.999991|0.855748|0.999948|0.000052|
-|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|0.922858|0.711504|0.999991|0.855748|0.999948|0.000052|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.982210|1.000000|0.991105|0.999997|0.000003|
+|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.929398|0.896795|0.999990|0.948392|0.999974|0.000026|
+|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|0.971931|0.866918|0.999996|0.933457|0.999976|0.000024|
+|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|0.947549|0.711404|0.999994|0.855699|0.999950|0.000050|
+|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|0.947549|0.711404|0.999994|0.855699|0.999950|0.000050|
+|6|SNOWBALL POLISH DIRECT|PRIMARY_OUTPUT|0.910978|0.647260|0.999990|0.823625|0.999936|0.000064|
 
 </details>
 
@@ -104,23 +108,12 @@ This mode contains **11 result rows**, **5 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.986324|0.984237|0.982159|0.968963|0.984243|0.984241|
-|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.907324|0.903167|0.899047|0.823432|0.903193|0.903179|
-|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|0.930930|0.905656|0.881718|0.827579|0.906584|0.906571|
-|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|0.871106|0.803515|0.745659|0.671564|0.810320|0.810296|
-|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|0.871106|0.803515|0.745659|0.671564|0.810320|0.810296|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.984234|0.996967|0.996469|0.996718|0.996718|
-|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.903153|0.990022|0.977054|0.983495|0.983495|
-|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|0.905642|0.994546|0.970520|0.982386|0.982386|
-|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|0.803490|0.991767|0.931069|0.960460|0.960460|
-|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|0.803490|0.991767|0.931069|0.960460|0.960460|
+|1|Radixor|PRIMARY_OUTPUT|0.996391|0.991025|0.985717|0.982210|0.991065|0.991064|
+|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.922689|0.912805|0.903131|0.839597|0.912951|0.912938|
+|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|0.948942|0.916426|0.886065|0.845744|0.917924|0.917913|
+|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|0.888559|0.812669|0.748723|0.684450|0.821030|0.821007|
+|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|0.888559|0.812669|0.748723|0.684450|0.821030|0.821007|
+|6|SNOWBALL POLISH DIRECT|PRIMARY_OUTPUT|0.842338|0.756803|0.687038|0.608756|0.767880|0.767852|
 
 </details>
 
@@ -128,75 +121,48 @@ This mode contains **11 result rows**, **5 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|1099420|13669|21547|7482464334|13669 / 7482478003|21547 / 1120967|
-|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|1004747|99228|116220|7482378775|99228 / 7482478003|116220 / 1120967|
-|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|971262|52652|149705|7482425351|52652 / 7482478003|149705 / 1120967|
-|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|797573|66669|323394|7482411334|66669 / 7482478003|323394 / 1120967|
-|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|797573|66669|323394|7482411334|66669 / 7482478003|323394 / 1120967|
+|1|Radixor|PRIMARY_OUTPUT|1097200|0|19873|7303238338|0 / 7303238338|19873 / 1117073|
+|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|1001785|76101|115288|7303162237|76101 / 7303238338|115288 / 1117073|
+|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|968411|27967|148662|7303210371|27967 / 7303238338|148662 / 1117073|
+|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|794690|43990|322383|7303194348|43990 / 7303238338|322383 / 1117073|
+|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|794690|43990|322383|7303194348|43990 / 7303238338|322383 / 1117073|
+|6|SNOWBALL POLISH DIRECT|PRIMARY_OUTPUT|723037|70656|394036|7303167682|70656 / 7303238338|394036 / 1117073|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 7482478003 (0.000000%)|0 / 1120967 (0.000000%)|1.000000|1.000000|1.000000|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|0.987570|85532 / 7482478003 (0.001143%)|27855 / 1120967 (2.484908%)|0.936598|0.950693|0.950985|
-|3|HUNSPELL POLISH LUCENE FILTER|ANY_CANDIDATE|0.963982|42213 / 7482478003 (0.000564%)|80743 / 1120967 (7.202977%)|0.954209|0.944197|0.944333|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|HUNSPELL POLISH LUCENE FILTER|0.000356%|7.227639%|
+|POLISH LUCENE MORFOLOGIK FILTER|0.001000%|2.493123%|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|0.927432|0.975151|0.999989|0.987570|0.999985|0.000015|
-|3|HUNSPELL POLISH LUCENE FILTER|ANY_CANDIDATE|0.961002|0.927970|0.999994|0.963982|0.999984|0.000016|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|0.936598|0.950693|0.965218|0.906020|0.950992|0.950985|
-|3|HUNSPELL POLISH LUCENE FILTER|ANY_CANDIDATE|0.954209|0.944197|0.934394|0.894293|0.944342|0.944333|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|3|HUNSPELL POLISH LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1120967|0|0|7482478003|0 / 7482478003|0 / 1120967|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|1093112|85532|27855|7482392471|85532 / 7482478003|27855 / 1120967|
-|3|HUNSPELL POLISH LUCENE FILTER|ANY_CANDIDATE|1040224|42213|80743|7482435790|42213 / 7482478003|80743 / 1120967|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|HUNSPELL POLISH LUCENE FILTER|25967 / 7303238338|80738 / 1117073|
+|POLISH LUCENE MORFOLOGIK FILTER|73019 / 7303238338|27850 / 1117073|
+|Radixor|0 / 7303238338|0 / 1117073|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999997|38073 / 7482478003 (0.000509%)|0 / 1120967 (0.000000%)|0.973547|0.983301|0.983436|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.987566|143096 / 7482478003 (0.001912%)|27855 / 1120967 (2.484908%)|0.901045|0.927476|0.928576|
-|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|0.963980|82745 / 7482478003 (0.001106%)|80743 / 1120967 (7.202977%)|0.926646|0.927142|0.927132|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
+|2|POLISH LUCENE MORFOLOGIK FILTER|0.987528|0.001376%|2.493123%|
+|3|HUNSPELL POLISH LUCENE FILTER|0.963859|0.000609%|7.227639%|
 
 </div>
 
@@ -204,9 +170,9 @@ This mode contains **11 result rows**, **5 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.967151|1.000000|0.999995|0.999997|0.999995|0.000005|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.884246|0.975151|0.999981|0.987566|0.999977|0.000023|
-|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|0.926316|0.927970|0.999989|0.963980|0.999978|0.000022|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
+|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.915516|0.975069|0.999986|0.987528|0.999982|0.000018|
+|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|0.958830|0.927724|0.999994|0.963859|0.999983|0.000017|
 
 </details>
 
@@ -214,19 +180,9 @@ This mode contains **11 result rows**, **5 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.973547|0.983301|0.993253|0.967151|0.983438|0.983436|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.901045|0.927476|0.955505|0.864761|0.928587|0.928576|
-|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|0.926646|0.927142|0.927639|0.864180|0.927143|0.927132|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
+|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.926837|0.944354|0.962546|0.894575|0.944823|0.944815|
+|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|0.952443|0.943020|0.933782|0.892184|0.943149|0.943140|
 
 </details>
 
@@ -234,9 +190,9 @@ This mode contains **11 result rows**, **5 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|1120967|38073|0|7482439930|38073 / 7482478003|0 / 1120967|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|1093112|143096|27855|7482334907|143096 / 7482478003|27855 / 1120967|
-|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|1040224|82745|80743|7482395258|82745 / 7482478003|80743 / 1120967|
+|1|Radixor|ALL_CANDIDATES|1117073|0|0|7303238338|0 / 7303238338|0 / 1117073|
+|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|1089223|100514|27850|7303137824|100514 / 7303238338|27850 / 1117073|
+|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|1036335|44498|80738|7303193840|44498 / 7303238338|80738 / 1117073|
 
 </details>
 
@@ -246,25 +202,26 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|HUNSPELL POLISH LUCENE FILTER|68962|10439|30093|11447|9.356634%|6|135231|
-|POLISH LUCENE MORFOLOGIK FILTER|88365|13696|43868|12873|10.522229%|5|136636|
-|Radixor|21547|13669|24404|2866|2.342632%|4|125778|
+|HUNSPELL POLISH LUCENE FILTER|67924|2000|16531|10485|8.674824%|6|132492|
+|POLISH LUCENE MORFOLOGIK FILTER|87438|3082|24413|11776|9.742941%|5|133810|
+|Radixor|19873|0|0|1392|1.151679%|4|122430|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **11 result rows**, **5 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **12 result rows**, **6 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.990579|13669 / 7310252699 (0.000187%)|21000 / 1114651 (1.883998%)|0.986350|0.984397|0.984400|
-|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.948177|99224 / 7310252699 (0.001357%)|115513 / 1114651 (10.363154%)|0.906972|0.902966|0.902976|
-|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|0.933309|51950 / 7310252699 (0.000711%)|148667 / 1114651 (13.337538%)|0.931269|0.905928|0.906847|
-|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|0.856382|66274 / 7310252699 (0.000907%)|320158 / 1114651 (28.722712%)|0.871591|0.804380|0.811082|
-|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|0.856382|66274 / 7310252699 (0.000907%)|320158 / 1114651 (28.722712%)|0.871591|0.804380|0.811082|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.991301|0.000000%|1.739895%|
+|2|POLISH LUCENE MORFOLOGIK FILTER|0.948417|0.001067%|10.315578%|
+|3|HUNSPELL POLISH LUCENE FILTER|0.933546|0.000382%|13.290396%|
+|4|POLISH LUCENE STEMPEL DIRECT|0.856335|0.000611%|28.732387%|
+|5|POLISH LUCENE STEMPEL FILTER|0.856335|0.000611%|28.732387%|
+|6|SNOWBALL POLISH DIRECT|0.823465|0.000990%|35.306102%|
 
 </div>
 
@@ -272,11 +229,12 @@ This mode contains **11 result rows**, **5 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.987656|0.981160|0.999998|0.990579|0.999995|0.000005|
-|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.909662|0.896368|0.999986|0.948177|0.999971|0.000029|
-|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|0.948965|0.866625|0.999993|0.933309|0.999973|0.000027|
-|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|0.923006|0.712773|0.999991|0.856382|0.999947|0.000053|
-|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|0.923006|0.712773|0.999991|0.856382|0.999947|0.000053|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.982601|1.000000|0.991301|0.999997|0.000003|
+|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.929032|0.896844|0.999989|0.948417|0.999973|0.000027|
+|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|0.972469|0.867096|0.999996|0.933546|0.999975|0.000025|
+|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|0.947796|0.712676|0.999994|0.856335|0.999949|0.000051|
+|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|0.947796|0.712676|0.999994|0.856335|0.999949|0.000051|
+|6|SNOWBALL POLISH DIRECT|PRIMARY_OUTPUT|0.910487|0.646939|0.999990|0.823465|0.999935|0.000065|
 
 </details>
 
@@ -284,23 +242,12 @@ This mode contains **11 result rows**, **5 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.986350|0.984397|0.982452|0.969274|0.984403|0.984400|
-|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.906972|0.902966|0.898996|0.823098|0.902991|0.902976|
-|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|0.931269|0.905928|0.881929|0.828033|0.906861|0.906847|
-|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|0.871591|0.804380|0.746792|0.672772|0.811106|0.811082|
-|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|0.871591|0.804380|0.746792|0.672772|0.811106|0.811082|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.984395|0.996926|0.996647|0.996786|0.996786|
-|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.902952|0.989889|0.977012|0.983408|0.983408|
-|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|0.905914|0.994584|0.970514|0.982402|0.982402|
-|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|0.804354|0.991711|0.931318|0.960566|0.960566|
-|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|0.804354|0.991711|0.931318|0.960566|0.960566|
+|1|Radixor|PRIMARY_OUTPUT|0.996471|0.991224|0.986032|0.982601|0.991262|0.991261|
+|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.922411|0.912654|0.903102|0.839342|0.912796|0.912783|
+|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|0.949394|0.916764|0.886303|0.846320|0.918272|0.918260|
+|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|0.889130|0.813590|0.749881|0.685758|0.821871|0.821848|
+|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|0.889130|0.813590|0.749881|0.685758|0.821871|0.821848|
+|6|SNOWBALL POLISH DIRECT|PRIMARY_OUTPUT|0.841894|0.756414|0.686693|0.608253|0.767483|0.767454|
 
 </details>
 
@@ -308,75 +255,48 @@ This mode contains **11 result rows**, **5 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|1093651|13669|21000|7310239030|13669 / 7310252699|21000 / 1114651|
-|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|999138|99224|115513|7310153475|99224 / 7310252699|115513 / 1114651|
-|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|965984|51950|148667|7310200749|51950 / 7310252699|148667 / 1114651|
-|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|794493|66274|320158|7310186425|66274 / 7310252699|320158 / 1114651|
-|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|794493|66274|320158|7310186425|66274 / 7310252699|320158 / 1114651|
+|1|Radixor|PRIMARY_OUTPUT|1091431|0|19326|7133100218|0 / 7133100218|19326 / 1110757|
+|2|POLISH LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|996176|76097|114581|7133024121|76097 / 7133100218|114581 / 1110757|
+|3|HUNSPELL POLISH LUCENE FILTER|PRIMARY_OUTPUT|963133|27267|147624|7133072951|27267 / 7133100218|147624 / 1110757|
+|4|POLISH LUCENE STEMPEL DIRECT|PRIMARY_OUTPUT|791610|43601|319147|7133056617|43601 / 7133100218|319147 / 1110757|
+|5|POLISH LUCENE STEMPEL FILTER|PRIMARY_OUTPUT|791610|43601|319147|7133056617|43601 / 7133100218|319147 / 1110757|
+|6|SNOWBALL POLISH DIRECT|PRIMARY_OUTPUT|718592|70647|392165|7133029571|70647 / 7133100218|392165 / 1110757|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 7310252699 (0.000000%)|0 / 1114651 (0.000000%)|1.000000|1.000000|1.000000|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|0.987661|85532 / 7310252699 (0.001170%)|27494 / 1114651 (2.466602%)|0.936331|0.950586|0.950885|
-|3|HUNSPELL POLISH LUCENE FILTER|ANY_CANDIDATE|0.963946|41671 / 7310252699 (0.000570%)|80368 / 1114651 (7.210149%)|0.954406|0.944290|0.944429|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|HUNSPELL POLISH LUCENE FILTER|0.000356%|7.234976%|
+|POLISH LUCENE MORFOLOGIK FILTER|0.001024%|2.474799%|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|0.927063|0.975334|0.999988|0.987661|0.999985|0.000015|
-|3|HUNSPELL POLISH LUCENE FILTER|ANY_CANDIDATE|0.961271|0.927899|0.999994|0.963946|0.999983|0.000017|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|0.936331|0.950586|0.965282|0.905826|0.950892|0.950885|
-|3|HUNSPELL POLISH LUCENE FILTER|ANY_CANDIDATE|0.954406|0.944290|0.934386|0.894459|0.944437|0.944429|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|3|HUNSPELL POLISH LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1114651|0|0|7310252699|0 / 7310252699|0 / 1114651|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|1087157|85532|27494|7310167167|85532 / 7310252699|27494 / 1114651|
-|3|HUNSPELL POLISH LUCENE FILTER|ANY_CANDIDATE|1034283|41671|80368|7310211028|41671 / 7310252699|80368 / 1114651|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|HUNSPELL POLISH LUCENE FILTER|25425 / 7133100218|80363 / 1110757|
+|POLISH LUCENE MORFOLOGIK FILTER|73019 / 7133100218|27489 / 1110757|
+|Radixor|0 / 7133100218|0 / 1110757|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999997|38073 / 7310252699 (0.000521%)|0 / 1114651 (0.000000%)|0.973401|0.983208|0.983344|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.987657|143085 / 7310252699 (0.001957%)|27494 / 1114651 (2.466602%)|0.900618|0.927255|0.928372|
-|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|0.963944|81865 / 7310252699 (0.001120%)|80368 / 1114651 (7.210149%)|0.926903|0.927276|0.927265|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
+|2|POLISH LUCENE MORFOLOGIK FILTER|0.987619|0.001409%|2.474799%|
+|3|HUNSPELL POLISH LUCENE FILTER|0.963822|0.000612%|7.234976%|
 
 </div>
 
@@ -384,9 +304,9 @@ This mode contains **11 result rows**, **5 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.966971|1.000000|0.999995|0.999997|0.999995|0.000005|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.883694|0.975334|0.999980|0.987657|0.999977|0.000023|
-|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|0.926654|0.927899|0.999989|0.963944|0.999978|0.000022|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
+|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.915099|0.975252|0.999986|0.987619|0.999982|0.000018|
+|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|0.959377|0.927650|0.999994|0.963822|0.999983|0.000017|
 
 </details>
 
@@ -394,19 +314,9 @@ This mode contains **11 result rows**, **5 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.973401|0.983208|0.993215|0.966971|0.983347|0.983344|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.900618|0.927255|0.955516|0.864376|0.928384|0.928372|
-|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|0.926903|0.927276|0.927649|0.864412|0.927276|0.927265|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
+|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.926529|0.944219|0.962597|0.894332|0.944697|0.944688|
+|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|0.952859|0.943247|0.933827|0.892590|0.943380|0.943372|
 
 </details>
 
@@ -414,9 +324,9 @@ This mode contains **11 result rows**, **5 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|1114651|38073|0|7310214626|38073 / 7310252699|0 / 1114651|
-|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|1087157|143085|27494|7310109614|143085 / 7310252699|27494 / 1114651|
-|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|1034283|81865|80368|7310170834|81865 / 7310252699|80368 / 1114651|
+|1|Radixor|ALL_CANDIDATES|1110757|0|0|7133100218|0 / 7133100218|0 / 1110757|
+|2|POLISH LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|1083268|100503|27489|7132999715|100503 / 7133100218|27489 / 1110757|
+|3|HUNSPELL POLISH LUCENE FILTER|ALL_CANDIDATES|1030394|43630|80363|7133056588|43630 / 7133100218|80363 / 1110757|
 
 </details>
 
@@ -426,21 +336,21 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|HUNSPELL POLISH LUCENE FILTER|68299|10279|29915|11265|9.315692%|6|133595|
-|POLISH LUCENE MORFOLOGIK FILTER|88019|13692|43861|12763|10.554476%|5|135105|
-|Radixor|21000|13669|24404|2780|2.298946%|4|124274|
+|HUNSPELL POLISH LUCENE FILTER|67261|1842|16363|10303|8.625294%|6|130856|
+|POLISH LUCENE MORFOLOGIK FILTER|87092|3078|24406|11666|9.766348%|5|132279|
+|Radixor|19326|0|0|1306|1.093335%|4|120926|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -449,16 +359,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `PL_PL`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/portuguese.md

@@ -8,21 +8,21 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `PT_PT` | 4,001 | 215,490 | 8,002 | 207,488 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `pt-pt-default` | `1.0.0` | `PT_PT` | 4,001 | 215,490 | 8,002 | 207,488 | 207,488 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **215,490**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **215,490**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
 | `AppendCharacterCommand` | Appends one character to the end of the word form. | 3,806 | 1.766% |
-| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 120,691 | 56.008% |
+| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 120,535 | 55.935% |
 | `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 71,284 | 33.080% |
 | `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 8,003 | 3.714% |
-| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 11,706 | 5.432% |
+| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 11,862 | 5.505% |
 
 ## Accuracy
 
@@ -30,8 +30,8 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 99.815% | 99.808% | 100.000% | Full Radixor dictionary patch-command stemmer. |
-| Lucene PortugueseLightStemFilter | 8.966% | 5.558% | 97.326% | Light suffix stemmer; intentionally narrower than a dictionary-derived stemmer. |
+| Radixor | 99.815% | 99.808% | 100.000% | Radixor dictionary-trained patch-command stemmer. |
+| Lucene PortugueseLightStemFilter | 8.966% | 5.558% | 97.326% | Light suffix stemmer; intentionally narrower than Radixor's dictionary-trained transformation model. |
 | Lucene PortugueseMinimalStemFilter | 5.539% | 1.896% | 100.000% | Minimal suffix reducer; narrow baseline, not a full stemmer. |
 | Lucene SnowballFilter | 0.625% | 0.558% | 2.374% | Lucene TokenFilter integration path around the Snowball algorithm. |
 | Official Snowball direct | 0.625% | 0.558% | 2.374% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
@@ -39,20 +39,20 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `portugueseRadixor` | 12.109 | 0.698 | 58.4 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Lucene PortugueseLightStemFilter | `portugueseLucenePortugueseLightStemFilter` | 11.172 | 1.870 | 53.8 | 0.923 | Light Portuguese suffix stemmer. |
-| Lucene PortugueseMinimalStemFilter | `portugueseLucenePortugueseMinimalStemFilter` | 16.038 | 1.752 | 77.3 | 1.325 | Minimal Portuguese suffix reducer. |
-| Official Snowball direct | `snowballDirect[PORTUGUESE]` | 53.725 | 5.356 | 258.9 | 4.437 | Official Snowball generated Java stemmer; direct API. |
-| Lucene SnowballFilter | `luceneSnowballFilter[PORTUGUESE]` | 57.457 | 1.182 | 276.9 | 4.745 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
-| Lucene PortugueseStemFilter | `portugueseLucenePortugueseStemFilter` | 165.447 | 40.334 | 797.4 | 13.663 | Portuguese RSLP-style Lucene TokenFilter. |
+| Radixor | `portugueseRadixor` | 10.902 | 0.166 | 52.5 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Lucene PortugueseLightStemFilter | `portugueseLucenePortugueseLightStemFilter` | 10.125 | 0.161 | 48.8 | 0.929 | Light Portuguese suffix stemmer. |
+| Lucene PortugueseMinimalStemFilter | `portugueseLucenePortugueseMinimalStemFilter` | 14.338 | 0.156 | 69.1 | 1.315 | Minimal Portuguese suffix reducer. |
+| Official Snowball direct | `snowballDirect[PORTUGUESE]` | 52.193 | 1.905 | 251.5 | 4.788 | Official Snowball generated Java stemmer; direct API. |
+| Lucene SnowballFilter | `luceneSnowballFilter[PORTUGUESE]` | 58.991 | 2.457 | 284.3 | 5.411 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
+| Lucene PortugueseStemFilter | `portugueseLucenePortugueseStemFilter` | 164.457 | 8.688 | 792.6 | 15.085 | Portuguese RSLP-style Lucene TokenFilter. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -62,32 +62,32 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `PT_PT` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `PT_PT` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/pt_pt/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `pt-pt-default`, loaded from classpath resource `org/egothor/stemmer/models/pt-pt-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.998502** among 6 deterministic stemmers. The runner-up is `SNOWBALL PORTUGUESE DIRECT` at 0.938800, a difference of 0.059702. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.998502** among 6 deterministic stemmers. The runner-up is `SNOWBALL PORTUGUESE DIRECT` at 0.938800, a difference of 0.059702. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.998542** among 6 deterministic stemmers. The runner-up is `SNOWBALL PORTUGUESE DIRECT` at 0.938922, a difference of 0.059620. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.998542** among 6 deterministic stemmers. The runner-up is `SNOWBALL PORTUGUESE DIRECT` at 0.938922, a difference of 0.059620. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.998502|20678 / 22358203756 (0.000092%)|16444 / 5489060 (0.299578%)|0.996389|0.996620|0.996619|
-|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|0.938800|167230 / 22358203756 (0.000748%)|671821 / 5489060 (12.239272%)|0.947271|0.919888|0.920940|
-|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|0.938800|167230 / 22358203756 (0.000748%)|671821 / 5489060 (12.239272%)|0.947271|0.919888|0.920940|
-|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|0.846459|99075 / 22358203756 (0.000443%)|1685572 / 5489060 (30.707844%)|0.901330|0.809975|0.821750|
-|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|0.513648|2511 / 22358203756 (0.000011%)|5339230 / 5489060 (97.270389%)|0.122843|0.053118|0.163828|
-|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.503954|598 / 22358203756 (0.000003%)|5445654 / 5489060 (99.209227%)|0.038310|0.015690|0.088308|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.998542|0.000000%|0.291615%|
+|2|SNOWBALL PORTUGUESE DIRECT|0.938922|0.000656%|12.214929%|
+|3|SNOWBALL PORTUGUESE LUCENE FILTER|0.938922|0.000656%|12.214929%|
+|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|0.846554|0.000364%|30.688771%|
+|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|0.513632|0.000006%|97.273598%|
+|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|0.503949|&lt;0.000001%|99.210240%|
 
 </div>
 
@@ -95,12 +95,12 @@ This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.996236|0.997004|0.999999|0.998502|0.999998|0.000002|
-|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|0.966450|0.877607|0.999993|0.938800|0.999962|0.000038|
-|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|0.966450|0.877607|0.999993|0.938800|0.999962|0.000038|
-|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|0.974613|0.692922|0.999996|0.846459|0.999920|0.000080|
-|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|0.983517|0.027296|1.000000|0.513648|0.999761|0.000239|
-|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.986410|0.007908|1.000000|0.503954|0.999756|0.000244|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.997084|1.000000|0.998542|0.999999|0.000001|
+|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|0.970538|0.877851|0.999993|0.938922|0.999963|0.000037|
+|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|0.970538|0.877851|0.999993|0.938922|0.999963|0.000037|
+|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|0.979145|0.693112|0.999996|0.846554|0.999921|0.000079|
+|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|0.991719|0.027264|1.000000|0.513632|0.999760|0.000240|
+|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.999608|0.007898|1.000000|0.503949|0.999756|0.000244|
 
 </details>
 
@@ -108,25 +108,12 @@ This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.996389|0.996620|0.996850|0.993262|0.996620|0.996619|
-|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|0.947271|0.919888|0.894045|0.851661|0.920958|0.920940|
-|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|0.947271|0.919888|0.894045|0.851661|0.920958|0.920940|
-|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|0.901330|0.809975|0.735434|0.680636|0.821785|0.821750|
-|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|0.122843|0.053118|0.033885|0.027284|0.163848|0.163828|
-|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.038310|0.015690|0.009865|0.007907|0.088319|0.088308|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.996619|0.999299|0.999347|0.999323|0.999323|
-|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|0.919870|0.996663|0.967924|0.982083|0.982083|
-|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|0.919870|0.996663|0.967924|0.982083|0.982083|
-|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|0.809936|0.996729|0.918475|0.956003|0.956003|
-|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|0.053105|0.999226|0.720580|0.837330|0.837330|
-|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.015686|0.999664|0.692383|0.818122|0.818122|
+|1|Radixor|PRIMARY_OUTPUT|0.999415|0.998540|0.997666|0.997084|0.998541|0.998541|
+|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|0.950467|0.921871|0.894944|0.855065|0.923032|0.923014|
+|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|0.950467|0.921871|0.894944|0.855065|0.923032|0.923014|
+|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|0.904492|0.811666|0.736120|0.683029|0.823807|0.823773|
+|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|0.122815|0.053069|0.033847|0.027258|0.164433|0.164413|
+|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.038278|0.015671|0.009853|0.007898|0.088851|0.088840|
 
 </details>
 
@@ -134,64 +121,42 @@ This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|5472616|20678|16444|22358183078|20678 / 22358203756|16444 / 5489060|
-|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|4817239|167230|671821|22358036526|167230 / 22358203756|671821 / 5489060|
-|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|4817239|167230|671821|22358036526|167230 / 22358203756|671821 / 5489060|
-|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|3803488|99075|1685572|22358104681|99075 / 22358203756|1685572 / 5489060|
-|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|149830|2511|5339230|22358201245|2511 / 22358203756|5339230 / 5489060|
-|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|43406|598|5445654|22358203158|598 / 22358203756|5445654 / 5489060|
+|1|Radixor|PRIMARY_OUTPUT|5470353|0|15999|22274113243|0 / 22274113243|15999 / 5486352|
+|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|4816198|146201|670154|22273967042|146201 / 22274113243|670154 / 5486352|
+|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|4816198|146201|670154|22273967042|146201 / 22274113243|670154 / 5486352|
+|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|3802658|80995|1683694|22274032248|80995 / 22274113243|1683694 / 5486352|
+|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|149580|1249|5336772|22274111994|1249 / 22274113243|5336772 / 5486352|
+|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|43329|17|5443023|22274113226|17 / 22274113243|5443023 / 5486352|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 22358203756 (0.000000%)|0 / 5489060 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|5489060|0|0|22358203756|0 / 22358203756|0 / 5489060|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 22274113243|0 / 5486352|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999999|38310 / 22358203756 (0.000171%)|0 / 5489060 (0.000000%)|0.994448|0.996522|0.996528|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -199,7 +164,7 @@ This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.993069|1.000000|0.999998|0.999999|0.999998|0.000002|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -207,15 +172,7 @@ This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.994448|0.996522|0.998606|0.993069|0.996528|0.996528|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -223,7 +180,7 @@ This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|5489060|38310|0|22358165446|38310 / 22358203756|0 / 5489060|
+|1|Radixor|ALL_CANDIDATES|5486352|0|0|22274113243|0 / 22274113243|0 / 5486352|
 
 </details>
 
@@ -233,24 +190,24 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|16444|20678|17632|790|0.373542%|3|212297|
+|Radixor|15999|0|0|392|0.185702%|3|211489|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.998502|20678 / 22358203756 (0.000092%)|16444 / 5489060 (0.299578%)|0.996389|0.996620|0.996619|
-|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|0.938800|167230 / 22358203756 (0.000748%)|671821 / 5489060 (12.239272%)|0.947271|0.919888|0.920940|
-|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|0.938800|167230 / 22358203756 (0.000748%)|671821 / 5489060 (12.239272%)|0.947271|0.919888|0.920940|
-|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|0.846459|99075 / 22358203756 (0.000443%)|1685572 / 5489060 (30.707844%)|0.901330|0.809975|0.821750|
-|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|0.513648|2511 / 22358203756 (0.000011%)|5339230 / 5489060 (97.270389%)|0.122843|0.053118|0.163828|
-|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.503954|598 / 22358203756 (0.000003%)|5445654 / 5489060 (99.209227%)|0.038310|0.015690|0.088308|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.998542|0.000000%|0.291615%|
+|2|SNOWBALL PORTUGUESE DIRECT|0.938922|0.000656%|12.214929%|
+|3|SNOWBALL PORTUGUESE LUCENE FILTER|0.938922|0.000656%|12.214929%|
+|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|0.846554|0.000364%|30.688771%|
+|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|0.513632|0.000006%|97.273598%|
+|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|0.503949|&lt;0.000001%|99.210240%|
 
 </div>
 
@@ -258,12 +215,12 @@ This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.996236|0.997004|0.999999|0.998502|0.999998|0.000002|
-|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|0.966450|0.877607|0.999993|0.938800|0.999962|0.000038|
-|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|0.966450|0.877607|0.999993|0.938800|0.999962|0.000038|
-|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|0.974613|0.692922|0.999996|0.846459|0.999920|0.000080|
-|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|0.983517|0.027296|1.000000|0.513648|0.999761|0.000239|
-|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.986410|0.007908|1.000000|0.503954|0.999756|0.000244|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.997084|1.000000|0.998542|0.999999|0.000001|
+|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|0.970538|0.877851|0.999993|0.938922|0.999963|0.000037|
+|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|0.970538|0.877851|0.999993|0.938922|0.999963|0.000037|
+|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|0.979145|0.693112|0.999996|0.846554|0.999921|0.000079|
+|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|0.991719|0.027264|1.000000|0.513632|0.999760|0.000240|
+|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.999608|0.007898|1.000000|0.503949|0.999756|0.000244|
 
 </details>
 
@@ -271,25 +228,12 @@ This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.996389|0.996620|0.996850|0.993262|0.996620|0.996619|
-|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|0.947271|0.919888|0.894045|0.851661|0.920958|0.920940|
-|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|0.947271|0.919888|0.894045|0.851661|0.920958|0.920940|
-|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|0.901330|0.809975|0.735434|0.680636|0.821785|0.821750|
-|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|0.122843|0.053118|0.033885|0.027284|0.163848|0.163828|
-|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.038310|0.015690|0.009865|0.007907|0.088319|0.088308|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.996619|0.999299|0.999347|0.999323|0.999323|
-|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|0.919870|0.996663|0.967924|0.982083|0.982083|
-|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|0.919870|0.996663|0.967924|0.982083|0.982083|
-|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|0.809936|0.996729|0.918475|0.956003|0.956003|
-|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|0.053105|0.999226|0.720580|0.837330|0.837330|
-|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.015686|0.999664|0.692383|0.818122|0.818122|
+|1|Radixor|PRIMARY_OUTPUT|0.999415|0.998540|0.997666|0.997084|0.998541|0.998541|
+|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|0.950467|0.921871|0.894944|0.855065|0.923032|0.923014|
+|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|0.950467|0.921871|0.894944|0.855065|0.923032|0.923014|
+|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|0.904492|0.811666|0.736120|0.683029|0.823807|0.823773|
+|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|0.122815|0.053069|0.033847|0.027258|0.164433|0.164413|
+|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.038278|0.015671|0.009853|0.007898|0.088851|0.088840|
 
 </details>
 
@@ -297,64 +241,42 @@ This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|5472616|20678|16444|22358183078|20678 / 22358203756|16444 / 5489060|
-|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|4817239|167230|671821|22358036526|167230 / 22358203756|671821 / 5489060|
-|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|4817239|167230|671821|22358036526|167230 / 22358203756|671821 / 5489060|
-|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|3803488|99075|1685572|22358104681|99075 / 22358203756|1685572 / 5489060|
-|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|149830|2511|5339230|22358201245|2511 / 22358203756|5339230 / 5489060|
-|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|43406|598|5445654|22358203158|598 / 22358203756|5445654 / 5489060|
+|1|Radixor|PRIMARY_OUTPUT|5470353|0|15999|22274113243|0 / 22274113243|15999 / 5486352|
+|2|SNOWBALL PORTUGUESE DIRECT|PRIMARY_OUTPUT|4816198|146201|670154|22273967042|146201 / 22274113243|670154 / 5486352|
+|3|SNOWBALL PORTUGUESE LUCENE FILTER|PRIMARY_OUTPUT|4816198|146201|670154|22273967042|146201 / 22274113243|670154 / 5486352|
+|4|PORTUGUESE LUCENE PORTUGUESE STEM FILTER|PRIMARY_OUTPUT|3802658|80995|1683694|22274032248|80995 / 22274113243|1683694 / 5486352|
+|5|PORTUGUESE LUCENE PORTUGUESE LIGHT STEM FILTER|PRIMARY_OUTPUT|149580|1249|5336772|22274111994|1249 / 22274113243|5336772 / 5486352|
+|6|PORTUGUESE LUCENE PORTUGUESE MINIMAL STEM FILTER|PRIMARY_OUTPUT|43329|17|5443023|22274113226|17 / 22274113243|5443023 / 5486352|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 22358203756 (0.000000%)|0 / 5489060 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|5489060|0|0|22358203756|0 / 22358203756|0 / 5489060|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 22274113243|0 / 5486352|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999999|38310 / 22358203756 (0.000171%)|0 / 5489060 (0.000000%)|0.994448|0.996522|0.996528|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -362,7 +284,7 @@ This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.993069|1.000000|0.999998|0.999999|0.999998|0.000002|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -370,15 +292,7 @@ This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.994448|0.996522|0.998606|0.993069|0.996528|0.996528|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -386,7 +300,7 @@ This mode contains **8 result rows**, **6 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|5489060|38310|0|22358165446|38310 / 22358203756|0 / 5489060|
+|1|Radixor|ALL_CANDIDATES|5486352|0|0|22274113243|0 / 22274113243|0 / 5486352|
 
 </details>
 
@@ -396,19 +310,19 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|16444|20678|17632|790|0.373542%|3|212297|
+|Radixor|15999|0|0|392|0.185702%|3|211489|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -417,16 +331,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `PT_PT`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/russian.md

@@ -8,21 +8,21 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `RU_RU` | 37,410 | 806,279 | 74,808 | 731,471 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `ru-ru-default` | `1.0.0` | `RU_RU` | 37,410 | 806,279 | 74,808 | 731,471 | 731,471 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **806,279**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **806,279**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
-| `AppendCharacterCommand` | Appends one character to the end of the word form. | 9,260 | 1.148% |
-| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 584,785 | 72.529% |
-| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 82,864 | 10.277% |
-| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 75,646 | 9.382% |
-| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 53,724 | 6.663% |
+| `AppendCharacterCommand` | Appends one character to the end of the word form. | 9,287 | 1.152% |
+| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 580,915 | 72.049% |
+| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 82,956 | 10.289% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 75,527 | 9.367% |
+| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 57,594 | 7.143% |
 
 ## Accuracy
 
@@ -30,25 +30,25 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 98.807% | 98.696% | 99.896% | Full Radixor dictionary patch-command stemmer. |
-| Lucene RussianLightStemFilter | 9.658% | 8.452% | 21.447% | Light suffix stemmer; intentionally narrower than a dictionary-derived stemmer. |
+| Radixor | 98.807% | 98.696% | 99.896% | Radixor dictionary-trained patch-command stemmer. |
+| Lucene RussianLightStemFilter | 9.658% | 8.452% | 21.447% | Light suffix stemmer; intentionally narrower than Radixor's dictionary-trained transformation model. |
 | Lucene SnowballFilter | 9.162% | 8.162% | 18.936% | Lucene TokenFilter integration path around the Snowball algorithm. |
 | Official Snowball direct | 9.162% | 8.162% | 18.936% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `russianRadixor` | 89.671 | 3.886 | 122.6 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Lucene RussianLightStemFilter | `russianLuceneRussianLightStemFilter` | 60.522 | 5.310 | 82.7 | 0.675 | Light Russian suffix stemmer. |
-| Official Snowball direct | `snowballDirect[RUSSIAN]` | 106.031 | 9.287 | 145.0 | 1.182 | Official Snowball generated Java stemmer; direct API. |
-| Lucene SnowballFilter | `luceneSnowballFilter[RUSSIAN]` | 137.512 | 10.801 | 188.0 | 1.534 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
+| Radixor | `russianRadixor` | 72.723 | 1.809 | 99.4 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Lucene RussianLightStemFilter | `russianLuceneRussianLightStemFilter` | 58.844 | 3.217 | 80.4 | 0.809 | Light Russian suffix stemmer. |
+| Official Snowball direct | `snowballDirect[RUSSIAN]` | 103.471 | 8.136 | 141.5 | 1.423 | Official Snowball generated Java stemmer; direct API. |
+| Lucene SnowballFilter | `luceneSnowballFilter[RUSSIAN]` | 130.783 | 3.979 | 178.8 | 1.798 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -58,30 +58,30 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `RU_RU` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `RU_RU` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/ru_ru/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `ru-ru-default`, loaded from classpath resource `org/egothor/stemmer/models/ru-ru-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.989827** among 4 deterministic stemmers. The runner-up is `SNOWBALL RUSSIAN LUCENE FILTER` at 0.834876, a difference of 0.154951. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.989852** among 4 deterministic stemmers. The runner-up is `SNOWBALL RUSSIAN DIRECT` at 0.834854, a difference of 0.154998. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.990188** among 4 deterministic stemmers. The runner-up is `SNOWBALL RUSSIAN LUCENE FILTER` at 0.834565, a difference of 0.155624. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.990213** among 4 deterministic stemmers. The runner-up is `SNOWBALL RUSSIAN DIRECT` at 0.834542, a difference of 0.155670. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.989827|155850 / 295576291016 (0.000053%)|266302 / 13089505 (2.034470%)|0.986313|0.983806|0.983814|
-|2|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|0.834876|3785790 / 295576291016 (0.001281%)|4322616 / 13089505 (33.023525%)|0.692485|0.683786|0.683923|
-|3|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|0.834867|3782908 / 295576291016 (0.001280%)|4322849 / 13089505 (33.025305%)|0.692603|0.683851|0.683989|
-|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.617692|321183 / 295576291016 (0.000109%)|10008438 / 13089505 (76.461547%)|0.577011|0.373649|0.461687|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.990188|0.000000%|1.962362%|
+|2|SNOWBALL RUSSIAN LUCENE FILTER|0.834565|0.001215%|33.085867%|
+|3|SNOWBALL RUSSIAN DIRECT|0.834556|0.001214%|33.087654%|
+|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|0.616440|0.000059%|76.711890%|
 
 </div>
 
@@ -89,10 +89,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.987992|0.979655|0.999999|0.989827|0.999999|0.000001|
-|2|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|0.698408|0.669765|0.999987|0.834876|0.999973|0.000027|
-|3|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|0.698563|0.669747|0.999987|0.834867|0.999973|0.000027|
-|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.905597|0.235385|0.999999|0.617692|0.999965|0.000035|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.980376|1.000000|0.990188|0.999999|0.000001|
+|2|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|0.713518|0.669141|0.999988|0.834565|0.999973|0.000027|
+|3|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|0.713680|0.669123|0.999988|0.834556|0.999973|0.000027|
+|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.946958|0.232881|0.999999|0.616440|0.999965|0.000035|
 
 </details>
 
@@ -100,21 +100,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.986313|0.983806|0.981311|0.968128|0.983815|0.983814|
-|2|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|0.692485|0.683786|0.675304|0.519510|0.683936|0.683923|
-|3|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|0.692603|0.683851|0.675318|0.519585|0.684003|0.683989|
-|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.577011|0.373649|0.276278|0.229747|0.461696|0.461687|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.983805|0.997699|0.997274|0.997487|0.997487|
-|2|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|0.683773|0.974131|0.953674|0.963794|0.963794|
-|3|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|0.683838|0.974180|0.953661|0.963811|0.963811|
-|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.373638|0.994311|0.870888|0.928516|0.928516|
+|1|Radixor|PRIMARY_OUTPUT|0.996013|0.990091|0.984239|0.980376|0.990140|0.990139|
+|2|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|0.704178|0.690618|0.677570|0.527438|0.690974|0.690960|
+|3|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|0.704300|0.690684|0.677584|0.527515|0.691043|0.691029|
+|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.586986|0.373828|0.274241|0.229882|0.469605|0.469596|
 
 </details>
 
@@ -122,62 +111,40 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|12823203|155850|266302|295576135166|155850 / 295576291016|266302 / 13089505|
-|2|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|8766889|3785790|4322616|295572505226|3785790 / 295576291016|4322616 / 13089505|
-|3|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|8766656|3782908|4322849|295572508108|3782908 / 295576291016|4322849 / 13089505|
-|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|3081067|321183|10008438|295575969833|321183 / 295576291016|10008438 / 13089505|
+|1|Radixor|PRIMARY_OUTPUT|12781761|0|255845|288279885172|0 / 288279885172|255845 / 13037606|
+|2|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|8724001|3502741|4313605|288276382431|3502741 / 288279885172|4313605 / 13037606|
+|3|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|8723768|3499880|4313838|288276385292|3499880 / 288279885172|4313838 / 13037606|
+|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|3036212|170067|10001394|288279715105|170067 / 288279885172|10001394 / 13037606|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 295576291016 (0.000000%)|13 / 13089505 (0.000099%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000100%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0.999999|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|0.999999|0.999999|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|13089492|0|13|295576291016|0 / 295576291016|13 / 13089505|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 288279885172|13 / 13037606|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999999|434710 / 295576291016 (0.000147%)|13 / 13089505 (0.000099%)|0.974119|0.983665|0.983796|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000100%|
 
 </div>
 
@@ -185,7 +152,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.967857|0.999999|0.999999|0.999999|0.999999|0.000001|
+|1|Radixor|ALL_CANDIDATES|1.000000|0.999999|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -193,15 +160,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.974119|0.983665|0.993401|0.967856|0.983797|0.983796|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|0.999999|0.999999|1.000000|1.000000|
 
 </details>
 
@@ -209,7 +168,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|13089492|434710|13|295575856306|434710 / 295576291016|13 / 13089505|
+|1|Radixor|ALL_CANDIDATES|13037593|0|13|288279885172|0 / 288279885172|13 / 13037606|
 
 </details>
 
@@ -219,22 +178,22 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|266289|155850|278860|19162|2.492190%|4|788492|
+|Radixor|255832|0|0|9613|1.265979%|4|769106|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.989852|155850 / 295000681652 (0.000053%)|265613 / 13087126 (2.029575%)|0.986322|0.983830|0.983838|
-|2|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|0.834854|3782908 / 295000681652 (0.001282%)|4322407 / 13087126 (33.027931%)|0.692561|0.683815|0.683953|
-|3|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|0.834854|3782908 / 295000681652 (0.001282%)|4322407 / 13087126 (33.027931%)|0.692561|0.683815|0.683953|
-|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.617630|318921 / 295000681652 (0.000108%)|10008238 / 13087126 (76.473918%)|0.577038|0.373540|0.461703|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.990213|0.000000%|1.957434%|
+|2|SNOWBALL RUSSIAN DIRECT|0.834542|0.001216%|33.090302%|
+|3|SNOWBALL RUSSIAN LUCENE FILTER|0.834542|0.001216%|33.090302%|
+|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|0.616378|0.000058%|76.724356%|
 
 </div>
 
@@ -242,10 +201,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.987991|0.979704|0.999999|0.989852|0.999999|0.000001|
-|2|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|0.698516|0.669721|0.999987|0.834854|0.999973|0.000027|
-|3|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|0.698516|0.669721|0.999987|0.834854|0.999973|0.000027|
-|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.906139|0.235261|0.999999|0.617630|0.999965|0.000035|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.980426|1.000000|0.990213|0.999999|0.000001|
+|2|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|0.713634|0.669097|0.999988|0.834542|0.999973|0.000027|
+|3|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|0.713634|0.669097|0.999988|0.834542|0.999973|0.000027|
+|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.947585|0.232756|0.999999|0.616378|0.999965|0.000035|
 
 </details>
 
@@ -253,21 +212,10 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.986322|0.983830|0.981350|0.968175|0.983839|0.983838|
-|2|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|0.692561|0.683815|0.675288|0.519544|0.683967|0.683953|
-|3|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|0.692561|0.683815|0.675288|0.519544|0.683967|0.683953|
-|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.577038|0.373540|0.276152|0.229664|0.461713|0.461703|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.983829|0.997697|0.997321|0.997509|0.997509|
-|2|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|0.683802|0.974149|0.953634|0.963782|0.963782|
-|3|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|0.683802|0.974149|0.953634|0.963782|0.963782|
-|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.373528|0.994350|0.870767|0.928464|0.928464|
+|1|Radixor|PRIMARY_OUTPUT|0.996023|0.990116|0.984279|0.980426|0.990164|0.990164|
+|2|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|0.704259|0.690648|0.677554|0.527474|0.691007|0.690993|
+|3|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|0.704259|0.690648|0.677554|0.527474|0.691007|0.690993|
+|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|0.587020|0.373716|0.274113|0.229798|0.469634|0.469625|
 
 </details>
 
@@ -275,62 +223,40 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|12821513|155850|265613|295000525802|155850 / 295000681652|265613 / 13087126|
-|2|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|8764719|3782908|4322407|294996898744|3782908 / 295000681652|4322407 / 13087126|
-|3|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|8764719|3782908|4322407|294996898744|3782908 / 295000681652|4322407 / 13087126|
-|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|3078888|318921|10008238|295000362731|318921 / 295000681652|10008238 / 13087126|
+|1|Radixor|PRIMARY_OUTPUT|12780071|0|255156|287711428009|0 / 287711428009|255156 / 13035227|
+|2|SNOWBALL RUSSIAN DIRECT|PRIMARY_OUTPUT|8721831|3499880|4313396|287707928129|3499880 / 287711428009|4313396 / 13035227|
+|3|SNOWBALL RUSSIAN LUCENE FILTER|PRIMARY_OUTPUT|8721831|3499880|4313396|287707928129|3499880 / 287711428009|4313396 / 13035227|
+|4|RUSSIAN LUCENE RUSSIAN LIGHT STEM FILTER|PRIMARY_OUTPUT|3034033|167825|10001194|287711260184|167825 / 287711428009|10001194 / 13035227|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 295000681652 (0.000000%)|0 / 13087126 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|13087126|0|0|295000681652|0 / 295000681652|0 / 13087126|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 287711428009|0 / 13035227|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999999|434710 / 295000681652 (0.000147%)|0 / 13087126 (0.000000%)|0.974115|0.983663|0.983794|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -338,7 +264,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.967851|1.000000|0.999999|0.999999|0.999999|0.000001|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -346,15 +272,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.974115|0.983663|0.993401|0.967851|0.983794|0.983794|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -362,7 +280,7 @@ This mode contains **6 result rows**, **4 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|13087126|434710|0|295000246942|434710 / 295000681652|0 / 13087126|
+|1|Radixor|ALL_CANDIDATES|13035227|0|0|287711428009|0 / 287711428009|0 / 13035227|
 
 </details>
 
@@ -372,19 +290,19 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|265613|155850|278860|18991|2.472358%|4|787549|
+|Radixor|255156|0|0|9442|1.244687%|4|768163|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -393,16 +311,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `RU_RU`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/spanish.md

@@ -8,21 +8,21 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `ES_ES` | 65,059 | 926,393 | 120,121 | 806,272 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `es-es-default` | `1.0.0` | `ES_ES` | 65,059 | 926,393 | 120,121 | 806,272 | 806,272 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **926,393**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **926,393**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
-| `AppendCharacterCommand` | Appends one character to the end of the word form. | 5,367 | 0.579% |
-| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 524,682 | 56.637% |
-| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 240,872 | 26.001% |
-| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 130,089 | 14.043% |
-| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 25,383 | 2.740% |
+| `AppendCharacterCommand` | Appends one character to the end of the word form. | 8,534 | 0.921% |
+| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 522,685 | 56.422% |
+| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 243,410 | 26.275% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 124,386 | 13.427% |
+| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 27,378 | 2.955% |
 
 ## Accuracy
 
@@ -30,31 +30,31 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 97.459% | 97.544% | 96.891% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 97.459% | 97.544% | 96.891% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene HunspellStemFilter | 49.074% | 42.656% | 92.154% | Benchmark-only Spanish Hunspell dictionary compared via Lucene HunspellStemFilter. |
 | Lucene SpanishMinimalStemFilter | 17.284% | 5.347% | 97.403% | Minimal suffix reducer; narrow baseline, not a full stemmer. |
 | Lucene SpanishPluralStemFilter | 15.140% | 5.802% | 77.820% | Plural-focused suffix reducer; narrow baseline. |
-| Lucene SpanishLightStemFilter | 9.577% | 7.088% | 26.279% | Light suffix stemmer; intentionally narrower than a dictionary-derived stemmer. |
+| Lucene SpanishLightStemFilter | 9.577% | 7.088% | 26.279% | Light suffix stemmer; intentionally narrower than Radixor's dictionary-trained transformation model. |
 | Lucene SnowballFilter | 4.889% | 4.287% | 8.932% | Lucene TokenFilter integration path around the Snowball algorithm. |
 | Official Snowball direct | 4.889% | 4.287% | 8.930% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `spanishRadixor` | 78.919 | 7.253 | 97.9 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 2079.041 | 193.548 | 2578.6 | 26.344 | Benchmark-only Spanish Hunspell dictionary compared via Lucene HunspellStemFilter. |
-| Lucene SpanishMinimalStemFilter | `spanishLuceneSpanishMinimalStemFilter` | 45.596 | 4.639 | 56.6 | 0.578 | Minimal Spanish suffix reducer; narrow baseline. |
-| Lucene SpanishLightStemFilter | `spanishLuceneSpanishLightStemFilter` | 42.003 | 1.683 | 52.1 | 0.532 | Light Spanish suffix stemmer. |
-| Lucene SpanishPluralStemFilter | `spanishLuceneSpanishPluralStemFilter` | 93.734 | 6.247 | 116.3 | 1.188 | Plural-oriented Spanish suffix reducer. |
-| Official Snowball direct | `snowballDirect[SPANISH]` | 171.995 | 11.035 | 213.3 | 2.179 | Official Snowball generated Java stemmer; direct API. |
-| Lucene SnowballFilter | `luceneSnowballFilter[SPANISH]` | 211.138 | 17.940 | 261.9 | 2.675 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
+| Radixor | `spanishRadixor` | 63.164 | 1.885 | 78.3 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 1936.800 | 18.685 | 2402.2 | 30.663 | Benchmark-only Spanish Hunspell dictionary compared via Lucene HunspellStemFilter. |
+| Lucene SpanishMinimalStemFilter | `spanishLuceneSpanishMinimalStemFilter` | 40.414 | 1.475 | 50.1 | 0.640 | Minimal Spanish suffix reducer; narrow baseline. |
+| Lucene SpanishLightStemFilter | `spanishLuceneSpanishLightStemFilter` | 43.922 | 1.497 | 54.5 | 0.695 | Light Spanish suffix stemmer. |
+| Lucene SpanishPluralStemFilter | `spanishLuceneSpanishPluralStemFilter` | 89.799 | 3.474 | 111.4 | 1.422 | Plural-oriented Spanish suffix reducer. |
+| Official Snowball direct | `snowballDirect[SPANISH]` | 192.868 | 11.684 | 239.2 | 3.053 | Official Snowball generated Java stemmer; direct API. |
+| Lucene SnowballFilter | `luceneSnowballFilter[SPANISH]` | 182.719 | 6.957 | 226.6 | 2.893 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -64,33 +64,33 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `ES_ES` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `ES_ES` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/es_es/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `es-es-default`, loaded from classpath resource `org/egothor/stemmer/models/es-es-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.989295** among 7 deterministic stemmers. The runner-up is `SNOWBALL SPANISH LUCENE FILTER` at 0.652614, a difference of 0.336680. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.989429** among 7 deterministic stemmers. The runner-up is `SNOWBALL SPANISH DIRECT` at 0.652720, a difference of 0.336709. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.989448** among 7 deterministic stemmers. The runner-up is `SNOWBALL SPANISH LUCENE FILTER` at 0.652438, a difference of 0.337010. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.989580** among 7 deterministic stemmers. The runner-up is `SNOWBALL SPANISH DIRECT` at 0.652542, a difference of 0.337038. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.989295|288483 / 379567318110 (0.000076%)|898652 / 41973336 (2.141007%)|0.990105|0.985755|0.985780|
-|2|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.652614|2230481 / 379567318110 (0.000588%)|29161643 / 41973336 (69.476591%)|0.627151|0.449411|0.509848|
-|3|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|0.652614|2228819 / 379567318110 (0.000587%)|29161649 / 41973336 (69.476605%)|0.627192|0.449424|0.509876|
-|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.615102|536192 / 379567318110 (0.000141%)|32310860 / 41973336 (76.979490%)|0.583708|0.370408|0.466992|
-|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.514823|147956 / 379567318110 (0.000039%)|40729019 / 41973336 (97.035458%)|0.130864|0.057387|0.162762|
-|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|0.503874|58578 / 379567318110 (0.000015%)|41648091 / 41973336 (99.225115%)|0.037377|0.015357|0.081026|
-|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.501768|47859 / 379567318110 (0.000013%)|41824873 / 41973336 (99.646292%)|0.017361|0.007041|0.051714|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.989448|0.000000%|2.110334%|
+|2|SNOWBALL SPANISH LUCENE FILTER|0.652438|0.000414%|69.511918%|
+|3|SNOWBALL SPANISH DIRECT|0.652438|0.000413%|69.511932%|
+|4|HUNSPELL SPANISH LUCENE FILTER|0.615028|0.000068%|76.994273%|
+|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|0.514565|0.000009%|97.087060%|
+|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|0.503764|0.000002%|99.247265%|
+|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|0.501678|0.000001%|99.664470%|
 
 </div>
 
@@ -98,13 +98,13 @@ This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.993026|0.978590|0.999999|0.989295|0.999997|0.000003|
-|2|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.851718|0.305234|0.999994|0.652614|0.999917|0.000083|
-|3|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|0.851812|0.305234|0.999994|0.652614|0.999917|0.000083|
-|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.947425|0.230205|0.999999|0.615102|0.999913|0.000087|
-|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.893731|0.029645|1.000000|0.514823|0.999892|0.000108|
-|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|0.847383|0.007749|1.000000|0.503874|0.999890|0.000110|
-|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.756222|0.003537|1.000000|0.501768|0.999890|0.000110|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.978897|1.000000|0.989448|0.999998|0.000002|
+|2|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.895438|0.304881|0.999996|0.652438|0.999915|0.000085|
+|3|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|0.895510|0.304881|0.999996|0.652438|0.999915|0.000085|
+|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.975281|0.230057|0.999999|0.615028|0.999910|0.000090|
+|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.974423|0.029129|1.000000|0.514565|0.999887|0.000113|
+|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|0.979154|0.007527|1.000000|0.503764|0.999885|0.000115|
+|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.970596|0.003355|1.000000|0.501678|0.999884|0.000116|
 
 </details>
 
@@ -112,27 +112,13 @@ This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.990105|0.985755|0.981443|0.971910|0.985781|0.985780|
-|2|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.627151|0.449411|0.350170|0.289832|0.509876|0.509848|
-|3|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|0.627192|0.449424|0.350173|0.289843|0.509904|0.509876|
-|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.583708|0.370408|0.271278|0.227301|0.467014|0.466992|
-|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.130864|0.057387|0.036752|0.029541|0.162773|0.162762|
-|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|0.037377|0.015357|0.009664|0.007738|0.081032|0.081026|
-|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.017361|0.007041|0.004416|0.003533|0.051719|0.051714|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.985753|0.995418|0.993266|0.994341|0.994341|
-|2|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.449379|0.981386|0.852461|0.912391|0.912391|
-|3|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|0.449392|0.981406|0.852463|0.912401|0.912401|
-|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.370381|0.993314|0.790558|0.880414|0.880414|
-|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.057381|0.993824|0.756690|0.859195|0.859195|
-|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|0.015355|0.995442|0.723731|0.838115|0.838115|
-|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.007040|0.995635|0.710610|0.829316|0.829316|
+|1|Radixor|PRIMARY_OUTPUT|0.995707|0.989336|0.983046|0.978897|0.989392|0.989391|
+|2|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.645406|0.454882|0.351206|0.294400|0.522496|0.522469|
+|3|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|0.645436|0.454891|0.351208|0.294407|0.522517|0.522490|
+|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.591847|0.372295|0.271557|0.228724|0.473678|0.473655|
+|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.130091|0.056568|0.036142|0.029107|0.168477|0.168467|
+|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|0.036514|0.014940|0.009391|0.007526|0.085851|0.085846|
+|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.016548|0.006687|0.004191|0.003355|0.057067|0.057063|
 
 </details>
 
@@ -140,71 +126,46 @@ This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|41074684|288483|898652|379567029627|288483 / 379567318110|898652 / 41973336|
-|2|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|12811693|2230481|29161643|379565087629|2230481 / 379567318110|29161643 / 41973336|
-|3|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|12811687|2228819|29161649|379565089291|2228819 / 379567318110|29161649 / 41973336|
-|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|9662476|536192|32310860|379566781918|536192 / 379567318110|32310860 / 41973336|
-|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|1244317|147956|40729019|379567170154|147956 / 379567318110|40729019 / 41973336|
-|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|325245|58578|41648091|379567259532|58578 / 379567318110|41648091 / 41973336|
-|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|148463|47859|41824873|379567270251|47859 / 379567318110|41824873 / 41973336|
+|1|Radixor|PRIMARY_OUTPUT|41053986|0|885054|360919543590|0 / 360919543590|885054 / 41939040|
+|2|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|12786409|1493087|29152631|360918050503|1493087 / 360919543590|29152631 / 41939040|
+|3|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|12786403|1491944|29152637|360918051646|1491944 / 360919543590|29152637 / 41939040|
+|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|9648381|244539|32290659|360919299051|244539 / 360919543590|32290659 / 41939040|
+|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|1221659|32066|40717381|360919511524|32066 / 360919543590|40717381 / 41939040|
+|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|315690|6721|41623350|360919536869|6721 / 360919543590|41623350 / 41939040|
+|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|140718|4263|41798322|360919539327|4263 / 360919543590|41798322 / 41939040|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|0.999993|2 / 379567318110 (0.000000%)|626 / 41973336 (0.001491%)|0.999997|0.999993|0.999993|
-|2|HUNSPELL SPANISH LUCENE FILTER|ANY_CANDIDATE|0.620065|416345 / 379567318110 (0.000110%)|31894218 / 41973336 (75.986855%)|0.600268|0.384195|0.480192|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|HUNSPELL SPANISH LUCENE FILTER|0.000062%|76.009935%|
+|Radixor|0.000000%|0.001493%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0.999985|1.000000|0.999993|1.000000|0.000000|
-|2|HUNSPELL SPANISH LUCENE FILTER|ANY_CANDIDATE|0.960331|0.240131|0.999999|0.620065|0.999915|0.000085|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|0.999997|0.999993|0.999988|0.999985|0.999993|0.999993|
-|2|HUNSPELL SPANISH LUCENE FILTER|ANY_CANDIDATE|0.600268|0.384195|0.282504|0.237773|0.480214|0.480192|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL SPANISH LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|41972710|2|626|379567318108|2 / 379567318110|626 / 41973336|
-|2|HUNSPELL SPANISH LUCENE FILTER|ANY_CANDIDATE|10079118|416345|31894218|379566901765|416345 / 379567318110|31894218 / 41973336|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|HUNSPELL SPANISH LUCENE FILTER|223500 / 360919543590|31877837 / 41939040|
+|Radixor|0 / 360919543590|626 / 41939040|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999991|1349800 / 379567318110 (0.000356%)|626 / 41973336 (0.001491%)|0.974915|0.984168|0.984289|
-|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|0.620065|888077 / 379567318110 (0.000234%)|31894218 / 41973336 (75.986855%)|0.587073|0.380771|0.469749|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.999993|&lt;0.000001%|0.001493%|
+|2|HUNSPELL SPANISH LUCENE FILTER|0.619950|0.000073%|76.009935%|
 
 </div>
 
@@ -212,8 +173,8 @@ This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.968843|0.999985|0.999996|0.999991|0.999996|0.000004|
-|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|0.919024|0.240131|0.999998|0.620065|0.999914|0.000086|
+|1|Radixor|ALL_CANDIDATES|0.999959|0.999985|1.000000|0.999993|1.000000|0.000000|
+|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|0.974467|0.239901|0.999999|0.619950|0.999911|0.000089|
 
 </details>
 
@@ -221,17 +182,8 @@ This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.974915|0.984168|0.993598|0.968829|0.984291|0.984289|
-|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|0.587073|0.380771|0.281759|0.235156|0.469773|0.469749|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|0.999964|0.999972|0.999980|0.999944|0.999972|0.999972|
+|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|0.604361|0.385016|0.282490|0.238402|0.483503|0.483480|
 
 </details>
 
@@ -239,8 +191,8 @@ This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|41972710|1349800|626|379565968310|1349800 / 379567318110|626 / 41973336|
-|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|10079118|888077|31894218|379566430033|888077 / 379567318110|31894218 / 41973336|
+|1|Radixor|ALL_CANDIDATES|41938414|1737|626|360919541853|1737 / 360919543590|626 / 41939040|
+|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|10061203|263629|31877837|360919279961|263629 / 360919543590|31877837 / 41939040|
 
 </details>
 
@@ -250,26 +202,26 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|HUNSPELL SPANISH LUCENE FILTER|416642|119847|351885|17877|2.051686%|5|890999|
-|Radixor|898026|288481|1061317|42637|4.893313%|21|916797|
+|HUNSPELL SPANISH LUCENE FILTER|412822|21039|19090|11309|1.331001%|5|861853|
+|Radixor|884428|0|1737|20967|2.467690%|21|871404|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.989429|276044 / 377860669765 (0.000073%)|885033 / 41863370 (2.114099%)|0.990385|0.986031|0.986056|
-|2|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|0.652720|2201196 / 377860669765 (0.000583%)|29076352 / 41863370 (69.455354%)|0.627946|0.449839|0.510450|
-|3|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.652720|2201196 / 377860669765 (0.000583%)|29076352 / 41863370 (69.455354%)|0.627946|0.449839|0.510450|
-|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.614999|531181 / 377860669765 (0.000141%)|32234855 / 41863370 (77.000144%)|0.583531|0.370163|0.466854|
-|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.514832|146613 / 377860669765 (0.000039%)|40621522 / 41863370 (97.033569%)|0.130949|0.057424|0.162875|
-|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|0.503877|57716 / 377860669765 (0.000015%)|41538714 / 41863370 (99.224487%)|0.037409|0.015370|0.081139|
-|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.501770|47148 / 377860669765 (0.000012%)|41715144 / 41863370 (99.645929%)|0.017379|0.007049|0.051824|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.989580|&lt;0.000001%|2.084022%|
+|2|SNOWBALL SPANISH DIRECT|0.652542|0.000410%|69.491126%|
+|3|SNOWBALL SPANISH LUCENE FILTER|0.652542|0.000410%|69.491126%|
+|4|HUNSPELL SPANISH LUCENE FILTER|0.614924|0.000068%|77.015229%|
+|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|0.514575|0.000009%|97.085003%|
+|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|0.503767|0.000002%|99.246590%|
+|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|0.501679|0.000001%|99.664108%|
 
 </div>
 
@@ -277,13 +229,13 @@ This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.993309|0.978859|0.999999|0.989429|0.999997|0.000003|
-|2|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|0.853138|0.305446|0.999994|0.652720|0.999917|0.000083|
-|3|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.853138|0.305446|0.999994|0.652720|0.999917|0.000083|
-|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.947717|0.229999|0.999999|0.614999|0.999913|0.000087|
-|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.894406|0.029664|1.000000|0.514832|0.999892|0.000108|
-|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|0.849058|0.007755|1.000000|0.503877|0.999890|0.000110|
-|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.758678|0.003541|1.000000|0.501770|0.999889|0.000111|
+|1|Radixor|PRIMARY_OUTPUT|0.999999|0.979160|1.000000|0.989580|0.999998|0.000002|
+|2|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|0.896551|0.305089|0.999996|0.652542|0.999915|0.000085|
+|3|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.896551|0.305089|0.999996|0.652542|0.999915|0.000085|
+|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.975224|0.229848|0.999999|0.614924|0.999910|0.000090|
+|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.974539|0.029150|1.000000|0.514575|0.999887|0.000113|
+|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|0.979521|0.007534|1.000000|0.503767|0.999884|0.000116|
+|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.971230|0.003359|1.000000|0.501679|0.999884|0.000116|
 
 </details>
 
@@ -291,27 +243,13 @@ This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.990385|0.986031|0.981715|0.972447|0.986057|0.986056|
-|2|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|0.627946|0.449839|0.350441|0.290188|0.510478|0.510450|
-|3|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.627946|0.449839|0.350441|0.290188|0.510478|0.510450|
-|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.583531|0.370163|0.271053|0.227117|0.466876|0.466854|
-|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.130949|0.057424|0.036775|0.029561|0.162886|0.162875|
-|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|0.037409|0.015370|0.009672|0.007744|0.081145|0.081139|
-|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.017379|0.007049|0.004421|0.003537|0.051829|0.051824|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.986029|0.995464|0.993323|0.994392|0.994392|
-|2|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|0.449806|0.981469|0.852556|0.912482|0.912482|
-|3|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.449806|0.981469|0.852556|0.912482|0.912482|
-|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.370136|0.993362|0.790500|0.880396|0.880396|
-|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.057417|0.993866|0.756725|0.859234|0.859234|
-|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|0.015368|0.995484|0.723753|0.838145|0.838145|
-|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.007048|0.995676|0.710626|0.829341|0.829341|
+|1|Radixor|PRIMARY_OUTPUT|0.995761|0.989470|0.983258|0.979159|0.989525|0.989523|
+|2|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|0.646055|0.455257|0.351461|0.294714|0.522999|0.522972|
+|3|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.646055|0.455257|0.351461|0.294714|0.522999|0.522972|
+|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|0.591553|0.372016|0.271323|0.228513|0.473448|0.473426|
+|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.130175|0.056607|0.036167|0.029128|0.168546|0.168536|
+|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|0.036546|0.014953|0.009400|0.007533|0.085906|0.085901|
+|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.016565|0.006695|0.004195|0.003359|0.057116|0.057113|
 
 </details>
 
@@ -319,71 +257,46 @@ This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|40978337|276044|885033|377860393721|276044 / 377860669765|885033 / 41863370|
-|2|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|12787018|2201196|29076352|377858468569|2201196 / 377860669765|29076352 / 41863370|
-|3|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|12787018|2201196|29076352|377858468569|2201196 / 377860669765|29076352 / 41863370|
-|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|9628515|531181|32234855|377860138584|531181 / 377860669765|32234855 / 41863370|
-|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|1241848|146613|40621522|377860523152|146613 / 377860669765|40621522 / 41863370|
-|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|324656|57716|41538714|377860612049|57716 / 377860669765|41538714 / 41863370|
-|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|148226|47148|41715144|377860622617|47148 / 377860669765|41715144 / 41863370|
+|1|Radixor|PRIMARY_OUTPUT|40958710|34|871756|359407144881|34 / 359407144915|871756 / 41830466|
+|2|SNOWBALL SPANISH DIRECT|PRIMARY_OUTPUT|12762004|1472547|29068462|359405672368|1472547 / 359407144915|29068462 / 41830466|
+|3|SNOWBALL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|12762004|1472547|29068462|359405672368|1472547 / 359407144915|29068462 / 41830466|
+|4|HUNSPELL SPANISH LUCENE FILTER|PRIMARY_OUTPUT|9614637|244260|32215829|359406900655|244260 / 359407144915|32215829 / 41830466|
+|5|SPANISH LUCENE SPANISH LIGHT STEM FILTER|PRIMARY_OUTPUT|1219357|31857|40611109|359407113058|31857 / 359407144915|40611109 / 41830466|
+|6|SPANISH LUCENE SPANISH PLURAL STEM FILTER|PRIMARY_OUTPUT|315155|6589|41515311|359407138326|6589 / 359407144915|41515311 / 41830466|
+|7|SPANISH LUCENE SPANISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|140505|4162|41689961|359407140753|4162 / 359407144915|41689961 / 41830466|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 377860669765 (0.000000%)|0 / 41863370 (0.000000%)|1.000000|1.000000|1.000000|
-|2|HUNSPELL SPANISH LUCENE FILTER|ANY_CANDIDATE|0.619928|412198 / 377860669765 (0.000109%)|31822108 / 41863370 (76.014205%)|0.600000|0.383864|0.479978|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|HUNSPELL SPANISH LUCENE FILTER|0.000062%|76.037484%|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-|2|HUNSPELL SPANISH LUCENE FILTER|ANY_CANDIDATE|0.960568|0.239858|0.999999|0.619928|0.999915|0.000085|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-|2|HUNSPELL SPANISH LUCENE FILTER|ANY_CANDIDATE|0.600000|0.383864|0.282205|0.237519|0.480000|0.479978|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL SPANISH LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|41863370|0|0|377860669765|0 / 377860669765|0 / 41863370|
-|2|HUNSPELL SPANISH LUCENE FILTER|ANY_CANDIDATE|10041262|412198|31822108|377860257567|412198 / 377860669765|31822108 / 41863370|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|HUNSPELL SPANISH LUCENE FILTER|223274 / 359407144915|31806834 / 41830466|
+|Radixor|0 / 359407144915|0 / 41830466|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999998|1255381 / 377860669765 (0.000332%)|0 / 41863370 (0.000000%)|0.976572|0.985228|0.985334|
-|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|0.619928|878949 / 377860669765 (0.000233%)|31822108 / 41863370 (76.014205%)|0.586905|0.380469|0.469606|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|&lt;0.000001%|0.000000%|
+|2|HUNSPELL SPANISH LUCENE FILTER|0.619812|0.000073%|76.037484%|
 
 </div>
 
@@ -391,8 +304,8 @@ This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.970885|1.000000|0.999997|0.999998|0.999997|0.000003|
-|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|0.919512|0.239858|0.999998|0.619928|0.999913|0.000087|
+|1|Radixor|ALL_CANDIDATES|0.999987|1.000000|1.000000|1.000000|1.000000|0.000000|
+|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|0.974405|0.239625|0.999999|0.619812|0.999911|0.000089|
 
 </details>
 
@@ -400,17 +313,8 @@ This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.976572|0.985228|0.994038|0.970885|0.985335|0.985334|
-|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|0.586905|0.380469|0.281467|0.234926|0.469630|0.469606|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|0.999989|0.999993|0.999997|0.999987|0.999993|0.999993|
+|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|0.603992|0.384656|0.282183|0.238126|0.483210|0.483187|
 
 </details>
 
@@ -418,8 +322,8 @@ This mode contains **11 result rows**, **7 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|41863370|1255381|0|377859414384|1255381 / 377860669765|0 / 41863370|
-|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|10041262|878949|31822108|377859790816|878949 / 377860669765|31822108 / 41863370|
+|1|Radixor|ALL_CANDIDATES|41830466|560|0|359407144355|560 / 359407144915|0 / 41830466|
+|2|HUNSPELL SPANISH LUCENE FILTER|ALL_CANDIDATES|10023632|263289|31806834|359406881626|263289 / 359407144915|31806834 / 41830466|
 
 </details>
 
@@ -429,20 +333,20 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|HUNSPELL SPANISH LUCENE FILTER|412747|118983|347768|17807|2.048262%|5|888962|
-|Radixor|885033|276044|979337|42403|4.877434%|21|914127|
+|HUNSPELL SPANISH LUCENE FILTER|408995|20986|19029|11287|1.331204%|5|860048|
+|Radixor|871756|34|526|20911|2.466272%|21|869542|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -451,16 +355,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `ES_ES`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/swedish.md

@@ -8,21 +8,21 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `SV_SE` | 12,371 | 110,468 | 24,731 | 85,737 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `sv-se-default` | `1.0.0` | `SV_SE` | 12,371 | 110,468 | 24,731 | 85,737 | 85,737 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **110,468**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **110,468**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
-| `AppendCharacterCommand` | Appends one character to the end of the word form. | 502 | 0.454% |
-| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 14,268 | 12.916% |
-| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 66,796 | 60.466% |
-| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 25,745 | 23.305% |
-| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 3,157 | 2.858% |
+| `AppendCharacterCommand` | Appends one character to the end of the word form. | 711 | 0.644% |
+| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 14,126 | 12.787% |
+| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 68,749 | 62.234% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 23,583 | 21.348% |
+| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 3,299 | 2.986% |
 
 ## Accuracy
 
@@ -30,27 +30,27 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 96.713% | 97.407% | 94.307% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 96.713% | 97.407% | 94.307% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene SwedishMinimalStemFilter | 49.532% | 49.186% | 50.730% | Minimal suffix reducer; narrow baseline, not a full stemmer. |
-| Lucene SwedishLightStemFilter | 45.672% | 46.383% | 43.209% | Light suffix stemmer; intentionally narrower than a dictionary-derived stemmer. |
+| Lucene SwedishLightStemFilter | 45.672% | 46.383% | 43.209% | Light suffix stemmer; intentionally narrower than Radixor's dictionary-trained transformation model. |
 | Official Snowball direct | 40.068% | 37.512% | 48.926% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
 | Lucene SnowballFilter | 38.785% | 35.839% | 48.999% | Lucene TokenFilter integration path around the Snowball algorithm. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `swedishRadixor` | 5.489 | 0.355 | 64.0 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Lucene SwedishMinimalStemFilter | `swedishLuceneSwedishMinimalStemFilter` | 4.630 | 0.130 | 54.0 | 0.843 | Minimal Swedish suffix reducer. |
-| Lucene SwedishLightStemFilter | `swedishLuceneSwedishLightStemFilter` | 4.876 | 0.328 | 56.9 | 0.888 | Light Swedish suffix stemmer. |
-| Official Snowball direct | `snowballDirect[SWEDISH]` | 7.517 | 0.072 | 87.7 | 1.370 | Official Snowball generated Java stemmer; direct API. |
-| Lucene SnowballFilter | `luceneSnowballFilter[SWEDISH]` | 9.793 | 0.338 | 114.2 | 1.784 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
+| Radixor | `swedishRadixor` | 5.078 | 0.104 | 59.2 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Lucene SwedishMinimalStemFilter | `swedishLuceneSwedishMinimalStemFilter` | 4.417 | 0.061 | 51.5 | 0.870 | Minimal Swedish suffix reducer. |
+| Lucene SwedishLightStemFilter | `swedishLuceneSwedishLightStemFilter` | 5.090 | 0.373 | 59.4 | 1.002 | Light Swedish suffix stemmer. |
+| Official Snowball direct | `snowballDirect[SWEDISH]` | 7.497 | 0.653 | 87.4 | 1.476 | Official Snowball generated Java stemmer; direct API. |
+| Lucene SnowballFilter | `luceneSnowballFilter[SWEDISH]` | 9.831 | 0.648 | 114.7 | 1.936 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -60,31 +60,31 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `SV_SE` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `SV_SE` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/sv_se/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `sv-se-default`, loaded from classpath resource `org/egothor/stemmer/models/sv-se-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.974636** among 5 deterministic stemmers. The runner-up is `SNOWBALL SWEDISH DIRECT` at 0.807534, a difference of 0.167101. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.974584** among 5 deterministic stemmers. The runner-up is `SNOWBALL SWEDISH DIRECT` at 0.807599, a difference of 0.166985. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.977619** among 5 deterministic stemmers. The runner-up is `SNOWBALL SWEDISH DIRECT` at 0.808543, a difference of 0.169076. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.977573** among 5 deterministic stemmers. The runner-up is `SNOWBALL SWEDISH DIRECT` at 0.808611, a difference of 0.168961. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.974636|24473 / 4812155436 (0.000509%)|19546 / 385342 (5.072377%)|0.939665|0.943246|0.943260|
-|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|0.807534|67105 / 4812155436 (0.001394%)|148325 / 385342 (38.491781%)|0.739832|0.687540|0.692339|
-|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|0.799307|64262 / 4812155436 (0.001335%)|154666 / 385342 (40.137333%)|0.736940|0.678180|0.684227|
-|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.796072|40227 / 4812155436 (0.000836%)|157161 / 385342 (40.784809%)|0.781991|0.698068|0.709491|
-|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.783685|45941 / 4812155436 (0.000955%)|166707 / 385342 (43.262089%)|0.757232|0.672808|0.684713|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.977619|0.000000%|4.476263%|
+|2|SNOWBALL SWEDISH DIRECT|0.808543|0.000821%|38.290570%|
+|3|SNOWBALL SWEDISH LUCENE FILTER|0.800222|0.000775%|39.954747%|
+|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|0.797907|0.000439%|40.418073%|
+|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|0.785227|0.000534%|42.954113%|
 
 </div>
 
@@ -92,11 +92,11 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.937292|0.949276|0.999995|0.974636|0.999991|0.000009|
-|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|0.779348|0.615082|0.999986|0.807534|0.999955|0.000045|
-|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|0.782117|0.598627|0.999987|0.799307|0.999955|0.000045|
-|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.850127|0.592152|0.999992|0.796072|0.999959|0.000041|
-|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.826360|0.567379|0.999990|0.783685|0.999956|0.000044|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.955237|1.000000|0.977619|0.999996|0.000004|
+|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|0.863080|0.617094|0.999992|0.808543|0.999960|0.000040|
+|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|0.866630|0.600453|0.999992|0.800222|0.999959|0.000041|
+|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.919176|0.595819|0.999996|0.797907|0.999962|0.000038|
+|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.899588|0.570459|0.999995|0.785227|0.999959|0.000041|
 
 </details>
 
@@ -104,23 +104,11 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.939665|0.943246|0.946855|0.892588|0.943265|0.943260|
-|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|0.739832|0.687540|0.642152|0.523856|0.692361|0.692339|
-|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|0.736940|0.678180|0.628098|0.513065|0.684249|0.684227|
-|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.781991|0.698068|0.630412|0.536179|0.709510|0.709491|
-|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.757232|0.672808|0.605321|0.506941|0.684733|0.684713|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.943241|0.992631|0.993395|0.993013|0.993013|
-|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|0.687518|0.984860|0.942685|0.963311|0.963311|
-|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|0.678157|0.985207|0.939659|0.961894|0.961894|
-|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.698048|0.988493|0.944582|0.966038|0.966038|
-|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.672787|0.986795|0.942303|0.964036|0.964036|
+|1|Radixor|PRIMARY_OUTPUT|0.990715|0.977106|0.963866|0.955237|0.977362|0.977361|
+|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|0.799353|0.719647|0.654396|0.562070|0.729796|0.729777|
+|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|0.796053|0.709394|0.639751|0.549660|0.721367|0.721348|
+|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.829176|0.722989|0.640913|0.566158|0.740043|0.740026|
+|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.806522|0.698179|0.615497|0.536309|0.716364|0.716347|
 
 </details>
 
@@ -128,63 +116,41 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|365796|24473|19546|4812130963|24473 / 4812155436|19546 / 385342|
-|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|237017|67105|148325|4812088331|67105 / 4812155436|148325 / 385342|
-|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|230676|64262|154666|4812091174|64262 / 4812155436|154666 / 385342|
-|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|228181|40227|157161|4812115209|40227 / 4812155436|157161 / 385342|
-|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|218635|45941|166707|4812109495|45941 / 4812155436|166707 / 385342|
+|1|Radixor|PRIMARY_OUTPUT|362653|0|16994|4529284143|0 / 4529284143|16994 / 379647|
+|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|234278|37166|145369|4529246977|37166 / 4529284143|145369 / 379647|
+|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|227960|35082|151687|4529249061|35082 / 4529284143|151687 / 379647|
+|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|226201|19890|153446|4529264253|19890 / 4529284143|153446 / 379647|
+|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|216573|24174|163074|4529259969|24174 / 4529284143|163074 / 379647|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 4812155436 (0.000000%)|0 / 385342 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|385342|0|0|4812155436|0 / 4812155436|0 / 385342|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 4529284143|0 / 379647|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999995|47848 / 4812155436 (0.000994%)|0 / 385342 (0.000000%)|0.909640|0.941544|0.943152|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -192,7 +158,7 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.889545|1.000000|0.999990|0.999995|0.999990|0.000010|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -200,15 +166,7 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.909640|0.941544|0.975768|0.889545|0.943157|0.943152|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -216,7 +174,7 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|385342|47848|0|4812107588|47848 / 4812155436|0 / 385342|
+|1|Radixor|ALL_CANDIDATES|379647|0|0|4529284143|0 / 4529284143|0 / 379647|
 
 </details>
 
@@ -226,23 +184,23 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|19546|24473|23375|5767|5.878216%|5|104148|
+|Radixor|16994|0|0|2840|2.983789%|5|98108|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.974584|24473 / 4789911577 (0.000511%)|19546 / 384563 (5.082652%)|0.939544|0.943132|0.943146|
-|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|0.807599|67105 / 4789911577 (0.001401%)|147975 / 384563 (38.478741%)|0.739645|0.687500|0.692274|
-|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|0.799355|64262 / 4789911577 (0.001342%)|154316 / 384563 (40.127625%)|0.736744|0.678122|0.684143|
-|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.795947|40227 / 4789911577 (0.000840%)|156939 / 384563 (40.809698%)|0.781694|0.697790|0.709212|
-|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.783598|45941 / 4789911577 (0.000959%)|166437 / 384563 (43.279515%)|0.756945|0.672575|0.684469|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.977573|0.000000%|4.485467%|
+|2|SNOWBALL SWEDISH DIRECT|0.808611|0.000824%|38.276920%|
+|3|SNOWBALL SWEDISH LUCENE FILTER|0.800274|0.000778%|39.944519%|
+|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|0.797785|0.000441%|40.442582%|
+|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|0.785141|0.000536%|42.971167%|
 
 </div>
 
@@ -250,11 +208,11 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.937167|0.949173|0.999995|0.974584|0.999991|0.000009|
-|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|0.779037|0.615213|0.999986|0.807599|0.999955|0.000045|
-|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|0.781800|0.598724|0.999987|0.799355|0.999954|0.000046|
-|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.849816|0.591903|0.999992|0.795947|0.999959|0.000041|
-|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.826025|0.567205|0.999990|0.783598|0.999956|0.000044|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.955145|1.000000|0.977573|0.999996|0.000004|
+|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|0.862864|0.617231|0.999992|0.808611|0.999960|0.000040|
+|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|0.866412|0.600555|0.999992|0.800274|0.999959|0.000041|
+|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.918993|0.595574|0.999996|0.797785|0.999962|0.000038|
+|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.899375|0.570288|0.999995|0.785141|0.999959|0.000041|
 
 </details>
 
@@ -262,23 +220,11 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.939544|0.943132|0.946748|0.892384|0.943151|0.943146|
-|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|0.739645|0.687500|0.642223|0.523810|0.692296|0.692274|
-|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|0.736744|0.678122|0.628142|0.512999|0.684165|0.684143|
-|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.781694|0.697790|0.630152|0.535851|0.709231|0.709212|
-|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.756945|0.672575|0.605126|0.506676|0.684489|0.684469|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.943127|0.992612|0.993378|0.992995|0.992995|
-|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|0.687478|0.984821|0.942695|0.963298|0.963298|
-|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|0.678100|0.985169|0.939661|0.961877|0.961877|
-|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.697770|0.988463|0.944528|0.965996|0.965996|
-|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.672553|0.986761|0.942265|0.964000|0.964000|
+|1|Radixor|PRIMARY_OUTPUT|0.990695|0.977058|0.963791|0.955145|0.977315|0.977314|
+|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|0.799250|0.719665|0.654494|0.562091|0.729785|0.729766|
+|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|0.795941|0.709393|0.639820|0.549658|0.721337|0.721319|
+|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|0.828962|0.722752|0.640668|0.565867|0.739816|0.739800|
+|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|0.806317|0.697987|0.615318|0.536083|0.716172|0.716155|
 
 </details>
 
@@ -286,63 +232,41 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|365017|24473|19546|4789887104|24473 / 4789911577|19546 / 384563|
-|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|236588|67105|147975|4789844472|67105 / 4789911577|147975 / 384563|
-|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|230247|64262|154316|4789847315|64262 / 4789911577|154316 / 384563|
-|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|227624|40227|156939|4789871350|40227 / 4789911577|156939 / 384563|
-|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|218126|45941|166437|4789865636|45941 / 4789911577|166437 / 384563|
+|1|Radixor|PRIMARY_OUTPUT|361874|0|16994|4507704713|0 / 4507704713|16994 / 378868|
+|2|SNOWBALL SWEDISH DIRECT|PRIMARY_OUTPUT|233849|37166|145019|4507667547|37166 / 4507704713|145019 / 378868|
+|3|SNOWBALL SWEDISH LUCENE FILTER|PRIMARY_OUTPUT|227531|35082|151337|4507669631|35082 / 4507704713|151337 / 378868|
+|4|SWEDISH LUCENE SWEDISH MINIMAL STEM FILTER|PRIMARY_OUTPUT|225644|19890|153224|4507684823|19890 / 4507704713|153224 / 378868|
+|5|SWEDISH LUCENE SWEDISH LIGHT STEM FILTER|PRIMARY_OUTPUT|216064|24174|162804|4507680539|24174 / 4507704713|162804 / 378868|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 4789911577 (0.000000%)|0 / 384563 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|384563|0|0|4789911577|0 / 4789911577|0 / 384563|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 4507704713|0 / 378868|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999995|47848 / 4789911577 (0.000999%)|0 / 384563 (0.000000%)|0.909473|0.941433|0.943047|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -350,7 +274,7 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.889346|1.000000|0.999990|0.999995|0.999990|0.000010|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -358,15 +282,7 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.909473|0.941433|0.975720|0.889346|0.943051|0.943047|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -374,7 +290,7 @@ This mode contains **7 result rows**, **5 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|384563|47848|0|4789863729|47848 / 4789911577|0 / 384563|
+|1|Radixor|ALL_CANDIDATES|378868|0|0|4507704713|0 / 4507704713|0 / 378868|
 
 </details>
 
@@ -384,19 +300,19 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|19546|24473|23375|5767|5.891848%|5|103921|
+|Radixor|16994|0|0|2840|2.990922%|5|97881|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -405,16 +321,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `SV_SE`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/ukrainian.md

@@ -8,21 +8,21 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `UK_UA` | 1,493 | 15,737 | 2,985 | 12,752 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `uk-ua-default` | `1.0.0` | `UK_UA` | 1,493 | 15,737 | 2,985 | 12,752 | 12,752 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **15,737**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **15,737**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
-| `AppendCharacterCommand` | Appends one character to the end of the word form. | 249 | 1.582% |
-| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 4,160 | 26.435% |
-| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 5,859 | 37.231% |
-| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 3,004 | 19.089% |
-| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 2,465 | 15.664% |
+| `AppendCharacterCommand` | Appends one character to the end of the word form. | 267 | 1.697% |
+| `BackwardCompoundCommand` | Applies a multi-step backward patch made from skip, delete, insert, and replace operations. | 4,156 | 26.409% |
+| `DeleteSuffixCommand` | Deletes one or more trailing characters from the word form. | 5,883 | 37.383% |
+| `PreserveCommand` | Returns the word form unchanged because it already matches the preferred root. | 2,962 | 18.822% |
+| `ReplaceLastCharacterCommand` | Replaces the final character of the word form. | 2,469 | 15.689% |
 
 ## Accuracy
 
@@ -30,25 +30,25 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 99.307% | 99.365% | 99.062% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 99.307% | 99.365% | 99.062% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene HunspellStemFilter | 86.815% | 83.759% | 99.866% | Benchmark-only Ukrainian Hunspell dictionary compared via Lucene HunspellStemFilter. |
 | Lucene MorfologikFilter | 92.362% | 90.637% | 99.732% | Dictionary-based path; Morfologik can emit multiple terms. |
 | Morfologik direct | 92.362% | 90.637% | 99.732% | Direct dictionary lookup; first returned stem is used for quality when no ranking weight is exposed. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `ukrainianRadixor` | 0.682 | 0.057 | 53.5 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 43.527 | 1.207 | 3413.3 | 63.799 | Benchmark-only Ukrainian Hunspell dictionary compared via Lucene HunspellStemFilter. |
-| Morfologik direct | `ukrainianMorfologikDirect` | 8.680 | 0.073 | 680.7 | 12.723 | Direct Morfologik dictionary lookup; first returned stem is used for quality. |
-| Lucene MorfologikFilter | `ukrainianLuceneMorfologikFilter` | 14.575 | 0.248 | 1143.0 | 21.364 | Dictionary-based Morfologik TokenFilter; may emit multiple terms. |
+| Radixor | `ukrainianRadixor` | 0.594 | 0.010 | 46.6 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Lucene HunspellStemFilter | `luceneHunspellStemFilter` | 39.820 | 3.772 | 3122.6 | 67.067 | Benchmark-only Ukrainian Hunspell dictionary compared via Lucene HunspellStemFilter. |
+| Morfologik direct | `ukrainianMorfologikDirect` | 8.231 | 0.121 | 645.5 | 13.863 | Direct Morfologik dictionary lookup; first returned stem is used for quality. |
+| Lucene MorfologikFilter | `ukrainianLuceneMorfologikFilter` | 14.700 | 0.176 | 1152.8 | 24.758 | Dictionary-based Morfologik TokenFilter; may emit multiple terms. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -58,30 +58,30 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `UK_UA` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `UK_UA` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/uk_ua/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `uk-ua-default`, loaded from classpath resource `org/egothor/stemmer/models/uk-ua-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.995343** among 4 deterministic stemmers. The runner-up is `UKRAINIAN LUCENE MORFOLOGIK FILTER` at 0.928768, a difference of 0.066575. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.995342** among 4 deterministic stemmers. The runner-up is `UKRAINIAN LUCENE MORFOLOGIK FILTER` at 0.928751, a difference of 0.066591. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.995816** among 4 deterministic stemmers. The runner-up is `UKRAINIAN LUCENE MORFOLOGIK FILTER` at 0.928906, a difference of 0.066910. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.995815** among 4 deterministic stemmers. The runner-up is `UKRAINIAN LUCENE MORFOLOGIK FILTER` at 0.928888, a difference of 0.066926. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.995343|880 / 101387550 (0.000868%)|608 / 65340 (0.930517%)|0.987406|0.988637|0.988632|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.928768|828 / 101387550 (0.000817%)|9308 / 65340 (14.245485%)|0.956896|0.917054|0.919223|
-|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|0.928646|828 / 101387550 (0.000817%)|9324 / 65340 (14.269972%)|0.956832|0.916912|0.919090|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|0.885793|794 / 101387550 (0.000783%)|14924 / 65340 (22.840526%)|0.933008|0.865139|0.871499|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.995816|0.000000%|0.836852%|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|0.928906|0.000028%|14.218810%|
+|3|UKRAINIAN MORFOLOGIK DIRECT|0.928783|0.000028%|14.243378%|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|0.885789|0.000006%|22.842226%|
 
 </div>
 
@@ -89,10 +89,10 @@ This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.986588|0.990695|0.999991|0.995343|0.999985|0.000015|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.985438|0.857545|0.999992|0.928768|0.999900|0.000100|
-|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|0.985434|0.857300|0.999992|0.928646|0.999900|0.000100|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|0.984495|0.771595|0.999992|0.885793|0.999845|0.000155|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.991631|1.000000|0.995816|0.999995|0.000005|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.999499|0.857812|1.000000|0.928906|0.999907|0.000093|
+|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|0.999499|0.857566|1.000000|0.928783|0.999907|0.000093|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|0.999881|0.771578|1.000000|0.885789|0.999851|0.000149|
 
 </details>
 
@@ -100,21 +100,10 @@ This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.987406|0.988637|0.989871|0.977529|0.988639|0.988632|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.956896|0.917054|0.880397|0.846814|0.919270|0.919223|
-|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|0.956832|0.916912|0.880190|0.846572|0.919137|0.919090|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|0.933008|0.865139|0.806475|0.762331|0.871568|0.871499|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.988630|0.997994|0.998266|0.998130|0.998130|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.917004|0.997990|0.971000|0.984310|0.984310|
-|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|0.916862|0.997990|0.970876|0.984246|0.984246|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|0.865063|0.998114|0.949804|0.973360|0.973360|
+|1|Radixor|PRIMARY_OUTPUT|0.998315|0.995798|0.993294|0.991631|0.995807|0.995804|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.967537|0.923251|0.882842|0.857443|0.925949|0.925906|
+|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|0.967474|0.923109|0.882634|0.857198|0.925817|0.925774|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|0.944015|0.871018|0.808499|0.771507|0.878343|0.878277|
 
 </details>
 
@@ -122,80 +111,49 @@ This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|64732|880|608|101386670|880 / 101387550|608 / 65340|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|56032|828|9308|101386722|828 / 101387550|9308 / 65340|
-|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|56016|828|9324|101386722|828 / 101387550|9324 / 65340|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|50416|794|14924|101386756|794 / 101387550|14924 / 65340|
+|1|Radixor|PRIMARY_OUTPUT|64580|0|545|100039050|0 / 100039050|545 / 65125|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|55865|28|9260|100039022|28 / 100039050|9260 / 65125|
+|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|55849|28|9276|100039022|28 / 100039050|9276 / 65125|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|50249|6|14876|100039044|6 / 100039050|14876 / 65125|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 101387550 (0.000000%)|0 / 65340 (0.000000%)|1.000000|1.000000|1.000000|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|0.962151|122 / 101387550 (0.000120%)|4946 / 65340 (7.569636%)|0.982323|0.959732|0.960413|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ANY_CANDIDATE|0.962029|122 / 101387550 (0.000120%)|4962 / 65340 (7.594123%)|0.982267|0.959599|0.960286|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ANY_CANDIDATE|0.927570|326 / 101387550 (0.000322%)|9465 / 65340 (14.485767%)|0.962884|0.919443|0.922008|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|HUNSPELL UKRAINIAN LUCENE FILTER|0.000000%|14.533589%|
+|UKRAINIAN LUCENE MORFOLOGIK FILTER|0.000000%|7.594626%|
+|UKRAINIAN MORFOLOGIK DIRECT|0.000000%|7.619194%|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|0.997984|0.924304|0.999999|0.962151|0.999950|0.000050|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ANY_CANDIDATE|0.997983|0.924059|0.999999|0.962029|0.999950|0.000050|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ANY_CANDIDATE|0.994199|0.855142|0.999997|0.927570|0.999903|0.000097|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|0.982323|0.959732|0.938156|0.922581|0.960438|0.960413|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ANY_CANDIDATE|0.982267|0.959599|0.937954|0.922337|0.960310|0.960286|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ANY_CANDIDATE|0.962884|0.919443|0.879752|0.850897|0.922053|0.922008|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|65340|0|0|101387550|0 / 101387550|0 / 65340|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|60394|122|4946|101387428|122 / 101387550|4946 / 65340|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ANY_CANDIDATE|60378|122|4962|101387428|122 / 101387550|4962 / 65340|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ANY_CANDIDATE|55875|326|9465|101387224|326 / 101387550|9465 / 65340|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|HUNSPELL UKRAINIAN LUCENE FILTER|0 / 100039050|9465 / 65125|
+|UKRAINIAN LUCENE MORFOLOGIK FILTER|0 / 100039050|4946 / 65125|
+|UKRAINIAN MORFOLOGIK DIRECT|0 / 100039050|4962 / 65125|
+|Radixor|0 / 100039050|0 / 65125|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999993|1490 / 101387550 (0.001470%)|0 / 65340 (0.000000%)|0.982084|0.988727|0.988782|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.962145|1368 / 101387550 (0.001349%)|4946 / 65340 (7.569636%)|0.966650|0.950323|0.950669|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|0.962023|1368 / 101387550 (0.001349%)|4962 / 65340 (7.594123%)|0.966592|0.950191|0.950541|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|0.927565|1271 / 101387550 (0.001254%)|9465 / 65340 (14.485767%)|0.950501|0.912349|0.914347|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|0.962027|0.000059%|7.594626%|
+|3|UKRAINIAN MORFOLOGIK DIRECT|0.961904|0.000059%|7.619194%|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|0.927332|0.000047%|14.533589%|
 
 </div>
 
@@ -203,10 +161,10 @@ This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.977705|1.000000|0.999985|0.999993|0.999985|0.000015|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.977850|0.924304|0.999987|0.962145|0.999938|0.000062|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|0.977845|0.924059|0.999987|0.962023|0.999938|0.000062|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|0.977759|0.855142|0.999987|0.927565|0.999894|0.000106|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.999021|0.924054|0.999999|0.962027|0.999950|0.000050|
+|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|0.999020|0.923808|0.999999|0.961904|0.999950|0.000050|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|0.999156|0.854664|1.000000|0.927332|0.999905|0.000095|
 
 </details>
 
@@ -214,21 +172,10 @@ This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.982084|0.988727|0.995460|0.977705|0.988789|0.988782|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.966650|0.950323|0.934539|0.905349|0.950700|0.950669|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|0.966592|0.950191|0.934337|0.905109|0.950571|0.950541|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|0.950501|0.912349|0.877142|0.838825|0.914398|0.914347|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.983070|0.960076|0.938133|0.923217|0.960806|0.960782|
+|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|0.983014|0.959943|0.937931|0.922972|0.960678|0.960654|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|0.966477|0.921279|0.880120|0.854048|0.924090|0.924046|
 
 </details>
 
@@ -236,10 +183,10 @@ This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|65340|1490|0|101386060|1490 / 101387550|0 / 65340|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|60394|1368|4946|101386182|1368 / 101387550|4946 / 65340|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|60378|1368|4962|101386182|1368 / 101387550|4962 / 65340|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|55875|1271|9465|101386279|1271 / 101387550|9465 / 65340|
+|1|Radixor|ALL_CANDIDATES|65125|0|0|100039050|0 / 100039050|0 / 65125|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|60179|59|4946|100038991|59 / 100039050|4946 / 65125|
+|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|60163|59|4962|100038991|59 / 100039050|4962 / 65125|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|55660|47|9465|100039003|47 / 100039050|9465 / 65125|
 
 </details>
 
@@ -249,25 +196,25 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|HUNSPELL UKRAINIAN LUCENE FILTER|5459|468|477|1322|9.280449%|6|15740|
-|UKRAINIAN LUCENE MORFOLOGIK FILTER|4362|706|540|2207|15.493155%|6|16937|
-|UKRAINIAN MORFOLOGIK DIRECT|4362|706|540|2207|15.493155%|6|16937|
-|Radixor|608|880|610|190|1.333801%|2|14435|
+|HUNSPELL UKRAINIAN LUCENE FILTER|5411|6|41|1259|8.897527%|6|15577|
+|UKRAINIAN LUCENE MORFOLOGIK FILTER|4314|28|31|2130|15.053004%|6|16748|
+|UKRAINIAN MORFOLOGIK DIRECT|4314|28|31|2130|15.053004%|6|16748|
+|Radixor|545|0|0|95|0.671378%|2|14245|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.995342|880 / 101259406 (0.000869%)|608 / 65324 (0.930745%)|0.987403|0.988634|0.988629|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.928751|828 / 101259406 (0.000818%)|9308 / 65324 (14.248974%)|0.956884|0.917032|0.919202|
-|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|0.928751|828 / 101259406 (0.000818%)|9308 / 65324 (14.248974%)|0.956884|0.917032|0.919202|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|0.885796|794 / 101259406 (0.000784%)|14920 / 65324 (22.839998%)|0.933007|0.865141|0.871500|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.995815|0.000000%|0.837058%|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|0.928888|0.000028%|14.222304%|
+|3|UKRAINIAN MORFOLOGIK DIRECT|0.928888|0.000028%|14.222304%|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|0.885791|0.000006%|22.841696%|
 
 </div>
 
@@ -275,10 +222,10 @@ This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.986585|0.990693|0.999991|0.995342|0.999985|0.000015|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.985434|0.857510|0.999992|0.928751|0.999900|0.000100|
-|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|0.985434|0.857510|0.999992|0.928751|0.999900|0.000100|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|0.984492|0.771600|0.999992|0.885796|0.999845|0.000155|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.991629|1.000000|0.995815|0.999995|0.000005|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.999499|0.857777|1.000000|0.928888|0.999907|0.000093|
+|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|0.999499|0.857777|1.000000|0.928888|0.999907|0.000093|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|0.999881|0.771583|1.000000|0.885791|0.999851|0.000149|
 
 </details>
 
@@ -286,21 +233,10 @@ This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.987403|0.988634|0.989868|0.977524|0.988636|0.988629|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.956884|0.917032|0.880367|0.846777|0.919249|0.919202|
-|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|0.956884|0.917032|0.880367|0.846777|0.919249|0.919202|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|0.933007|0.865141|0.806479|0.762334|0.871570|0.871500|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.988627|0.997992|0.998264|0.998128|0.998128|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.916982|0.997988|0.970978|0.984298|0.984298|
-|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|0.916982|0.997988|0.970978|0.984298|0.984298|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|0.865065|0.998113|0.949788|0.973351|0.973351|
+|1|Radixor|PRIMARY_OUTPUT|0.998315|0.995797|0.993292|0.991629|0.995806|0.995803|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|0.967528|0.923231|0.882812|0.857408|0.925930|0.925887|
+|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|0.967528|0.923231|0.882812|0.857408|0.925930|0.925887|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|0.944017|0.871021|0.808503|0.771512|0.878346|0.878280|
 
 </details>
 
@@ -308,80 +244,49 @@ This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|64716|880|608|101258526|880 / 101259406|608 / 65324|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|56016|828|9308|101258578|828 / 101259406|9308 / 65324|
-|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|56016|828|9308|101258578|828 / 101259406|9308 / 65324|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|50404|794|14920|101258612|794 / 101259406|14920 / 65324|
+|1|Radixor|PRIMARY_OUTPUT|64564|0|545|99911761|0 / 99911761|545 / 65109|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|PRIMARY_OUTPUT|55849|28|9260|99911733|28 / 99911761|9260 / 65109|
+|3|UKRAINIAN MORFOLOGIK DIRECT|PRIMARY_OUTPUT|55849|28|9260|99911733|28 / 99911761|9260 / 65109|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|PRIMARY_OUTPUT|50237|6|14872|99911755|6 / 99911761|14872 / 65109|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 101259406 (0.000000%)|0 / 65324 (0.000000%)|1.000000|1.000000|1.000000|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|0.962142|122 / 101259406 (0.000120%)|4946 / 65324 (7.571490%)|0.982318|0.959722|0.960404|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ANY_CANDIDATE|0.962142|122 / 101259406 (0.000120%)|4946 / 65324 (7.571490%)|0.982318|0.959722|0.960404|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ANY_CANDIDATE|0.927552|326 / 101259406 (0.000322%)|9465 / 65324 (14.489315%)|0.962874|0.919422|0.921988|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|HUNSPELL UKRAINIAN LUCENE FILTER|0.000000%|14.537161%|
+|UKRAINIAN LUCENE MORFOLOGIK FILTER|0.000000%|7.596492%|
+|UKRAINIAN MORFOLOGIK DIRECT|0.000000%|7.596492%|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|0.997983|0.924285|0.999999|0.962142|0.999950|0.000050|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ANY_CANDIDATE|0.997983|0.924285|0.999999|0.962142|0.999950|0.000050|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ANY_CANDIDATE|0.994198|0.855107|0.999997|0.927552|0.999903|0.000097|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|0.982318|0.959722|0.938141|0.922562|0.960428|0.960404|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ANY_CANDIDATE|0.982318|0.959722|0.938141|0.922562|0.960428|0.960404|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ANY_CANDIDATE|0.962874|0.919422|0.879722|0.850861|0.922033|0.921988|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|65324|0|0|101259406|0 / 101259406|0 / 65324|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ANY_CANDIDATE|60378|122|4946|101259284|122 / 101259406|4946 / 65324|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ANY_CANDIDATE|60378|122|4946|101259284|122 / 101259406|4946 / 65324|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ANY_CANDIDATE|55859|326|9465|101259080|326 / 101259406|9465 / 65324|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|HUNSPELL UKRAINIAN LUCENE FILTER|0 / 99911761|9465 / 65109|
+|UKRAINIAN LUCENE MORFOLOGIK FILTER|0 / 99911761|4946 / 65109|
+|UKRAINIAN MORFOLOGIK DIRECT|0 / 99911761|4946 / 65109|
+|Radixor|0 / 99911761|0 / 65109|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999993|1490 / 101259406 (0.001471%)|0 / 65324 (0.000000%)|0.982079|0.988724|0.988779|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.962136|1368 / 101259406 (0.001351%)|4946 / 65324 (7.571490%)|0.966642|0.950311|0.950657|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|0.962136|1368 / 101259406 (0.001351%)|4946 / 65324 (7.571490%)|0.966642|0.950311|0.950657|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|0.927547|1271 / 101259406 (0.001255%)|9465 / 65324 (14.489315%)|0.950487|0.912326|0.914325|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|0.962017|0.000059%|7.596492%|
+|3|UKRAINIAN MORFOLOGIK DIRECT|0.962017|0.000059%|7.596492%|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|0.927314|0.000047%|14.537161%|
 
 </div>
 
@@ -389,10 +294,10 @@ This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.977699|1.000000|0.999985|0.999993|0.999985|0.000015|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.977845|0.924285|0.999986|0.962136|0.999938|0.000062|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|0.977845|0.924285|0.999986|0.962136|0.999938|0.000062|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|0.977752|0.855107|0.999987|0.927547|0.999894|0.000106|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.999020|0.924035|0.999999|0.962017|0.999950|0.000050|
+|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|0.999020|0.924035|0.999999|0.962017|0.999950|0.000050|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|0.999156|0.854628|1.000000|0.927314|0.999905|0.000095|
 
 </details>
 
@@ -400,21 +305,10 @@ This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.982079|0.988724|0.995459|0.977699|0.988787|0.988779|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.966642|0.950311|0.934522|0.905326|0.950688|0.950657|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|0.966642|0.950311|0.934522|0.905326|0.950688|0.950657|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|0.950487|0.912326|0.877111|0.838787|0.914376|0.914325|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|0.983065|0.960066|0.938118|0.923199|0.960796|0.960772|
+|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|0.983065|0.960066|0.938118|0.923199|0.960796|0.960772|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|0.966468|0.921258|0.880089|0.854012|0.924071|0.924027|
 
 </details>
 
@@ -422,10 +316,10 @@ This mode contains **12 result rows**, **4 evaluated stemmers**, and **3 output
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|65324|1490|0|101257916|1490 / 101259406|0 / 65324|
-|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|60378|1368|4946|101258038|1368 / 101259406|4946 / 65324|
-|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|60378|1368|4946|101258038|1368 / 101259406|4946 / 65324|
-|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|55859|1271|9465|101258135|1271 / 101259406|9465 / 65324|
+|1|Radixor|ALL_CANDIDATES|65109|0|0|99911761|0 / 99911761|0 / 65109|
+|2|UKRAINIAN LUCENE MORFOLOGIK FILTER|ALL_CANDIDATES|60163|59|4946|99911702|59 / 99911761|4946 / 65109|
+|3|UKRAINIAN MORFOLOGIK DIRECT|ALL_CANDIDATES|60163|59|4946|99911702|59 / 99911761|4946 / 65109|
+|4|HUNSPELL UKRAINIAN LUCENE FILTER|ALL_CANDIDATES|55644|47|9465|99911714|47 / 99911761|9465 / 65109|
 
 </details>
 
@@ -435,22 +329,22 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|HUNSPELL UKRAINIAN LUCENE FILTER|5455|468|477|1321|9.279292%|6|15730|
-|UKRAINIAN LUCENE MORFOLOGIK FILTER|4362|706|540|2207|15.502950%|6|16928|
-|UKRAINIAN MORFOLOGIK DIRECT|4362|706|540|2207|15.502950%|6|16928|
-|Radixor|608|880|610|190|1.334645%|2|14426|
+|HUNSPELL UKRAINIAN LUCENE FILTER|5407|6|41|1258|8.896118%|6|15567|
+|UKRAINIAN LUCENE MORFOLOGIK FILTER|4314|28|31|2130|15.062584%|6|16739|
+|UKRAINIAN MORFOLOGIK DIRECT|4314|28|31|2130|15.062584%|6|16739|
+|Radixor|545|0|0|95|0.671805%|2|14236|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -459,16 +353,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `UK_UA`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/languages/yiddish.md

@@ -8,13 +8,13 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
 
 ## Dictionary Corpus
 
-| Resource | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
-| --- | ---: | ---: | ---: | ---: |
-| `YI` | 802 | 4,300 | 1,524 | 2,776 |
+| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
+| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `yi-default` | `1.0.0` | `YI` | 802 | 4,300 | 1,524 | 2,776 | 5,000 |
 
 ## Radixor Patch Command Distribution
 
-Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is **4,300**.
+Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete default-model dictionary. The total number of preferred patch commands analyzed for this language is **4,300**.
 
 | Command class | Meaning | Word forms | Share |
 | --- | --- | ---: | ---: |
@@ -29,23 +29,23 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
 
 | Stemmer | All exact | Changed exact | Root preserved | Note |
 | --- | ---: | ---: | ---: | --- |
-| Radixor | 98.930% | 98.343% | 100.000% | Full Radixor dictionary patch-command stemmer. |
+| Radixor | 98.930% | 98.343% | 100.000% | Radixor dictionary-trained patch-command stemmer. |
 | Lucene SnowballFilter | 2.837% | 2.558% | 3.346% | Lucene TokenFilter integration path around the Snowball algorithm. |
 | Official Snowball direct | 2.837% | 2.558% | 3.346% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
 
 ## Speed
 
-Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
+Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
 
 | Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
 | --- | --- | ---: | ---: | ---: | ---: | --- |
-| Radixor | `radixor[YIDDISH]` | 0.254 | 0.004 | 50.7 | 1.000 | Full Radixor dictionary patch-command stemmer. |
-| Official Snowball direct | `snowballDirect[YIDDISH]` | 1.537 | 0.220 | 307.3 | 6.058 | Official Snowball generated Java stemmer; direct API. |
-| Lucene SnowballFilter | `luceneSnowballFilter[YIDDISH]` | 1.714 | 0.120 | 342.8 | 6.756 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
+| Radixor | `radixor[YIDDISH]` | 0.234 | 0.001 | 46.8 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
+| Official Snowball direct | `snowballDirect[YIDDISH]` | 1.487 | 0.062 | 297.5 | 6.354 | Official Snowball generated Java stemmer; direct API. |
+| Lucene SnowballFilter | `luceneSnowballFilter[YIDDISH]` | 1.754 | 0.070 | 350.8 | 7.492 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
 
 ## Interpretation Notes
 
-- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
+- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
 - Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
 - Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
 - Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -55,29 +55,29 @@ Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fo
 
 ## Stemming Quality
 
-Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `YI` using the complete validated stemming-quality result matrix. Every usable dictionary row is one gold-standard group of forms expected to share a morphological family or lemma. Exact equality with a predetermined lemma is not required. Same-row pairs are positive pairs; pairs from different rows are negative pairs.
+Runtime performance and linguistic grouping quality are independent dimensions. This section evaluates language `YI` using the complete validated stemming-quality result matrix. Every distinct surface form is one evaluated item and can belong to several dictionary groups. Two forms are a positive pair when their group-membership sets intersect and a negative pair when those sets are disjoint. A pair shared through several groups is counted once. Exact equality with a predetermined lemma is not required.
 
 `ALL_WORDS` includes every valid group and its original forms. `LOWERCASE_GROUPS_ONLY` excludes an entire group when any Unicode code point is uppercase or titlecase; retained words are not lowercased or otherwise rewritten. This isolates case-handling effects without changing retained inputs. [Download the complete machine-readable result snapshot](../data/stemming-quality.csv).
 
 ### Evaluation Scope and Key Findings
 
-The dictionary resource is `src/main/resources/yi/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
+The default model is `yi-default`, loaded from classpath resource `org/egothor/stemmer/models/yi-default/stemmer.gz`. The following findings compare only deterministic `PRIMARY_OUTPUT` rows over identical included groups; candidate policies are reported separately as capability analyses.
 
-- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.988241** among 3 deterministic stemmers. The runner-up is `SNOWBALL YIDDISH DIRECT` at 0.890988, a difference of 0.097253. This rank does not imply leadership in throughput or every secondary metric.
-- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.988241** among 3 deterministic stemmers. The runner-up is `SNOWBALL YIDDISH DIRECT` at 0.890988, a difference of 0.097253. This rank does not imply leadership in throughput or every secondary metric.
+- **ALL_WORDS:** `Radixor` ranks first by balanced accuracy at **0.989079** among 3 deterministic stemmers. The runner-up is `SNOWBALL YIDDISH DIRECT` at 0.891118, a difference of 0.097961. This rank does not imply leadership in throughput or every secondary metric.
+- **LOWERCASE_GROUPS_ONLY:** `Radixor` ranks first by balanced accuracy at **0.989079** among 3 deterministic stemmers. The runner-up is `SNOWBALL YIDDISH DIRECT` at 0.891118, a difference of 0.097961. This rank does not imply leadership in throughput or every secondary metric.
 ### `ALL_WORDS`
 
-This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.988241|195 / 6392909 (0.003050%)|149 / 6344 (2.348676%)|0.970881|0.972986|0.972965|
-|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|0.890988|1151 / 6392909 (0.018004%)|1382 / 6344 (21.784363%)|0.805624|0.796661|0.796600|
-|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|0.890988|1151 / 6392909 (0.018004%)|1382 / 6344 (21.784363%)|0.805624|0.796661|0.796600|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.989079|0.000000%|2.184236%|
+|2|SNOWBALL YIDDISH DIRECT|0.891118|0.013211%|21.763216%|
+|3|SNOWBALL YIDDISH LUCENE FILTER|0.891118|0.013211%|21.763216%|
 
 </div>
 
@@ -85,9 +85,9 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.969484|0.976513|0.999969|0.988241|0.999946|0.000054|
-|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|0.811713|0.782156|0.999820|0.890988|0.999604|0.000396|
-|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|0.811713|0.782156|0.999820|0.890988|0.999604|0.000396|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.978158|1.000000|0.989079|0.999978|0.000022|
+|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|0.857267|0.782368|0.999868|0.891118|0.999648|0.000352|
+|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|0.857267|0.782368|0.999868|0.891118|0.999648|0.000352|
 
 </details>
 
@@ -95,19 +95,9 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.970881|0.972986|0.975099|0.947393|0.972992|0.972965|
-|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|0.805624|0.796661|0.787894|0.662041|0.796798|0.796600|
-|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|0.805624|0.796661|0.787894|0.662041|0.796798|0.796600|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.972959|0.995691|0.996142|0.995917|0.995917|
-|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|0.796462|0.982919|0.962014|0.972354|0.972354|
-|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|0.796462|0.982919|0.962014|0.972354|0.972354|
+|1|Radixor|PRIMARY_OUTPUT|0.995554|0.988958|0.982449|0.978158|0.989019|0.989008|
+|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|0.841161|0.818107|0.796282|0.692200|0.818961|0.818787|
+|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|0.841161|0.818107|0.796282|0.692200|0.818961|0.818787|
 
 </details>
 
@@ -115,61 +105,39 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|6195|195|149|6392714|195 / 6392909|149 / 6344|
-|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|4962|1151|1382|6391758|1151 / 6392909|1382 / 6344|
-|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|4962|1151|1382|6391758|1151 / 6392909|1382 / 6344|
+|1|Radixor|PRIMARY_OUTPUT|6180|0|138|6229428|0 / 6229428|138 / 6318|
+|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|4943|823|1375|6228605|823 / 6229428|1375 / 6318|
+|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|4943|823|1375|6228605|823 / 6229428|1375 / 6318|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 6392909 (0.000000%)|0 / 6344 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|6344|0|0|6392909|0 / 6392909|0 / 6344|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 6229428|0 / 6318|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999970|389 / 6392909 (0.006085%)|0 / 6344 (0.000000%)|0.953240|0.970253|0.970653|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -177,7 +145,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.942225|1.000000|0.999939|0.999970|0.999939|0.000061|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -185,15 +153,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.953240|0.970253|0.987885|0.942225|0.970683|0.970653|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -201,7 +161,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|6344|389|0|6392520|389 / 6392909|0 / 6344|
+|1|Radixor|ALL_CANDIDATES|6318|0|0|6229428|0 / 6229428|0 / 6318|
 
 </details>
 
@@ -211,21 +171,21 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|149|195|194|89|2.487423%|3|3676|
+|Radixor|138|0|0|43|1.217441%|3|3578|
 
 ### `LOWERCASE_GROUPS_ONLY`
 
-This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. Rankings are separated by output policy and ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
+This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output policies**. Applied-row and form counts are shown per row because adapters share the language corpus but policy rows remain independently auditable. `PRIMARY_OUTPUT` and `ALL_CANDIDATES` rankings are ordered by unrounded balanced accuracy, followed by MCC, F1, over-stemming rate, over-stemming count, under-stemming rate, and stemmer. `ANY_CANDIDATE` has no single rank metric and is listed alphabetically. Balanced accuracy is a navigation metric, not a universally authoritative quality score.
 
 #### `PRIMARY_OUTPUT` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.988241|195 / 6392909 (0.003050%)|149 / 6344 (2.348676%)|0.970881|0.972986|0.972965|
-|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|0.890988|1151 / 6392909 (0.018004%)|1382 / 6344 (21.784363%)|0.805624|0.796661|0.796600|
-|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|0.890988|1151 / 6392909 (0.018004%)|1382 / 6344 (21.784363%)|0.805624|0.796661|0.796600|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|0.989079|0.000000%|2.184236%|
+|2|SNOWBALL YIDDISH DIRECT|0.891118|0.013211%|21.763216%|
+|3|SNOWBALL YIDDISH LUCENE FILTER|0.891118|0.013211%|21.763216%|
 
 </div>
 
@@ -233,9 +193,9 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.969484|0.976513|0.999969|0.988241|0.999946|0.000054|
-|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|0.811713|0.782156|0.999820|0.890988|0.999604|0.000396|
-|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|0.811713|0.782156|0.999820|0.890988|0.999604|0.000396|
+|1|Radixor|PRIMARY_OUTPUT|1.000000|0.978158|1.000000|0.989079|0.999978|0.000022|
+|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|0.857267|0.782368|0.999868|0.891118|0.999648|0.000352|
+|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|0.857267|0.782368|0.999868|0.891118|0.999648|0.000352|
 
 </details>
 
@@ -243,19 +203,9 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.970881|0.972986|0.975099|0.947393|0.972992|0.972965|
-|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|0.805624|0.796661|0.787894|0.662041|0.796798|0.796600|
-|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|0.805624|0.796661|0.787894|0.662041|0.796798|0.796600|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|0.972959|0.995691|0.996142|0.995917|0.995917|
-|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|0.796462|0.982919|0.962014|0.972354|0.972354|
-|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|0.796462|0.982919|0.962014|0.972354|0.972354|
+|1|Radixor|PRIMARY_OUTPUT|0.995554|0.988958|0.982449|0.978158|0.989019|0.989008|
+|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|0.841161|0.818107|0.796282|0.692200|0.818961|0.818787|
+|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|0.841161|0.818107|0.796282|0.692200|0.818961|0.818787|
 
 </details>
 
@@ -263,61 +213,39 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|PRIMARY_OUTPUT|6195|195|149|6392714|195 / 6392909|149 / 6344|
-|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|4962|1151|1382|6391758|1151 / 6392909|1382 / 6344|
-|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|4962|1151|1382|6391758|1151 / 6392909|1382 / 6344|
+|1|Radixor|PRIMARY_OUTPUT|6180|0|138|6229428|0 / 6229428|138 / 6318|
+|2|SNOWBALL YIDDISH DIRECT|PRIMARY_OUTPUT|4943|823|1375|6228605|823 / 6229428|1375 / 6318|
+|3|SNOWBALL YIDDISH LUCENE FILTER|PRIMARY_OUTPUT|4943|823|1375|6228605|823 / 6229428|1375 / 6318|
 
 </details>
 
-#### `ANY_CANDIDATE` ranking
+#### `ANY_CANDIDATE` oracle bounds
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+These results are measured, not missing. `ANY_CANDIDATE` answers two separate optimistic questions for each pair: a gold-related pair avoids under-stemming when the candidate sets intersect, while a gold-negative pair avoids over-stemming when some non-colliding candidate selection exists. The oracle may choose a different candidate for the same word in different pairs. Consequently, these decisions do not form one globally realizable predicted relation or one TP/FP/FN/TN confusion matrix. Balanced accuracy, F-scores, Jaccard, Fowlkes–Mallows, and MCC are therefore mathematically **not applicable**, rather than unknown.
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|0 / 6392909 (0.000000%)|0 / 6344 (0.000000%)|1.000000|1.000000|1.000000|
+<div class="quality-summary quality-summary--oracle" markdown="1">
+
+| Stemmer | Optimistic over-stemming (OI) | Optimistic under-stemming (UI) |
+|---|---:|---:|
+|Radixor|0.000000%|0.000000%|
 
 </div>
 
-<details class="quality-details" markdown="1"><summary>Classification metrics</summary>
+<details class="quality-details" markdown="1"><summary>Oracle-bound pair counts</summary>
 
-| Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Pair-relation metrics</summary>
-
-| Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|n/a|n/a|n/a|n/a|n/a|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Raw pair counts</summary>
-
-| Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ANY_CANDIDATE|6344|0|0|6392909|0 / 6392909|0 / 6344|
+| Stemmer | Unavoidable over errors / gold-negative pairs | Unrepairable under errors / gold-related pairs |
+|---|---:|---:|
+|Radixor|0 / 6229428|0 / 6318|
 
 </details>
 
 #### `ALL_CANDIDATES` ranking
 
-<div class="quality-table quality-table--compact" role="region" aria-label="Compact stemming-quality ranking; scroll horizontally for additional columns" tabindex="0" markdown="1">
+<div class="quality-summary" markdown="1">
 
-| Rank | Stemmer | Output policy | Balanced accuracy | Over-stemming | Under-stemming | F0.5 | F1 | MCC |
-|---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.999970|389 / 6392909 (0.006085%)|0 / 6344 (0.000000%)|0.953240|0.970253|0.970653|
+| Rank | Stemmer | Balanced accuracy | Over-stemming (OI) | Under-stemming (UI) |
+|---:|---|---:|---:|---:|
+|1|Radixor|1.000000|0.000000%|0.000000%|
 
 </div>
 
@@ -325,7 +253,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | Precision | Recall | Specificity | Balanced accuracy | Pairwise accuracy | Error rate |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.942225|1.000000|0.999939|0.999970|0.999939|0.000061|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|0.000000|
 
 </details>
 
@@ -333,15 +261,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | F0.5 | F1 | F2 | Jaccard | Fowlkes–Mallows | MCC |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|0.953240|0.970253|0.987885|0.942225|0.970683|0.970653|
-
-</details>
-
-<details class="quality-details" markdown="1"><summary>Partition metrics (PRIMARY_OUTPUT only)</summary>
-
-| Rank | Stemmer | Output policy | Adjusted Rand Index | Homogeneity | Completeness | V-measure | Normalized mutual information |
-|---:|---|---|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|n/a|n/a|n/a|n/a|n/a|
+|1|Radixor|ALL_CANDIDATES|1.000000|1.000000|1.000000|1.000000|1.000000|1.000000|
 
 </details>
 
@@ -349,7 +269,7 @@ This mode contains **5 result rows**, **3 evaluated stemmers**, and **3 output p
 
 | Rank | Stemmer | Output policy | TP | FP | FN | TN | Over error / possible | Under error / possible |
 |---:|---|---|---:|---:|---:|---:|---:|---:|
-|1|Radixor|ALL_CANDIDATES|6344|389|0|6392520|389 / 6392909|0 / 6344|
+|1|Radixor|ALL_CANDIDATES|6318|0|0|6229428|0 / 6229428|0 / 6318|
 
 </details>
 
@@ -359,19 +279,19 @@ Alternative candidates are capability analyses, not replacements for the determi
 
 | Stemmer | Under pairs repaired | Best-case over pairs avoided | All-candidate collisions added | Multi-candidate forms | Multi-candidate share | Maximum candidates | Total candidate assignments |
 |---|---:|---:|---:|---:|---:|---:|---:|
-|Radixor|149|195|194|89|2.487423%|3|3676|
+|Radixor|138|0|0|43|1.217441%|3|3578|
 
 ### Output Policies and Metric Definitions
 
-`PRIMARY_OUTPUT` uses one deterministic stem per form and therefore defines a strict partition. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a same-group pair succeeds when candidates intersect, while a different-group pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and need not represent one globally consistent assignment. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect. Alternatives can reduce under-stemming but can introduce cross-group collisions, and the resulting relation can overlap and need not be a partition.
+Each distinct surface form is one item and may belong to several gold groups. Two forms are gold-related when their membership sets intersect; a relation shared by several groups is counted once. `PRIMARY_OUTPUT` uses one deterministic stem per form. `ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound: a gold-related pair succeeds when candidates intersect, while a gold-negative pair succeeds when a non-colliding selection exists. Candidate choices may differ between pairs, so this is not deterministic runtime behaviour and does not define one confusion matrix. `ALL_CANDIDATES` activates every returned candidate; forms are related when candidate sets intersect.
 
-For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. TP and FN concern same-group pairs; FP and TN concern different-group pairs. Consequently, under-stemming and over-stemming use different denominators. Undefined values are rendered as `n/a`.
+For `PRIMARY_OUTPUT` and `ALL_CANDIDATES`, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs`, `FP = overErrorPairs`, and `TN = overPossiblePairs - overErrorPairs`. `ANY_CANDIDATE` publishes only its separate oracle-assisted under/over bounds; confusion-derived metrics are mathematically inapplicable and are not presented in its language-page section. Their machine-readable CSV fields remain empty. Undefined metric denominators in otherwise applicable policies are rendered as `n/a`.
 
-- Under-stemming rate: `FN / (TP + FN)`, the false-negative rate over same-group pairs.
-- Over-stemming rate: `FP / (TN + FP)`, the false-positive rate over different-group pairs.
+- Under-stemming rate (Paice UI): `FN / (TP + FN)`, the false-negative rate over gold-related pairs.
+- Over-stemming rate (Paice OI): `FP / (TN + FP)`, the false-positive rate over gold-negative pairs.
 - Pairwise precision: `TP / (TP + FP)`, the fraction of predicted conflations that are gold-standard positive pairs.
 - Pairwise recall: `TP / (TP + FN)`, the fraction of gold-standard positive pairs successfully connected.
-- Pairwise specificity: `TN / (TN + FP)`, the fraction of different-group pairs correctly separated.
+- Pairwise specificity: `TN / (TN + FP)`, the fraction of gold-negative pairs correctly separated.
 - Balanced accuracy: `(recall + specificity) / 2`. It gives equal weight to positive and negative pair classes and is less dominated by the large true-negative class than ordinary accuracy. It does not replace the raw errors or other metrics.
 - Pairwise F-beta: `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`. F0.5 emphasizes precision and penalizes over-stemming more; F1 weights precision and recall equally; F2 emphasizes recall and penalizes under-stemming more.
 - MCC: `(TP * TN - FP * FN) / sqrt((TP + FP) * (TP + FN) * (TN + FP) * (TN + FN))`. It uses all confusion counts and remains useful under class imbalance, except when its denominator is degenerate.
@@ -380,16 +300,17 @@ For each row, `TP = underPossiblePairs - underErrorPairs`, `FN = underErrorPairs
 - Pairwise accuracy: `(TP + TN) / (TP + TN + FP + FN)`. It can be dominated by true-negative cross-group pairs.
 - Pairwise error rate: `(FP + FN) / (TP + TN + FP + FN)`.
 
-Adjusted Rand Index uses the gold/predicted contingency table and chance correction. Homogeneity is `1 - H(gold | predicted) / H(gold)`; completeness is `1 - H(predicted | gold) / H(predicted)`; V-measure is their harmonic mean; normalized mutual information uses the arithmetic-mean entropy normalization `MI / ((H(gold) + H(predicted)) / 2)`. These partition-only metrics apply to `PRIMARY_OUTPUT`; candidate-relation rows show `n/a`.
+Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated: their usual contingency-table definitions require an exclusive gold partition, while this gold standard is an overlapping cover.
 
 ### Provenance
 
 - Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
-- Source SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Evaluation command: `./gradlew stemmingQuality`
+- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Evaluation command: `./gradlew stemmingQuality --no-daemon`
 - Dictionary language: `YI`
 - Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`
 - Stemmer versions and transitive artifacts: resolved by the repository's JMH Gradle configuration and `gradle.lockfile`
-- Radixor version, Git revision, generation date, JDK version, operating system, and dictionary revision: not recorded in the authoritative CSV
+- Model ID, version, and SHA-256: recorded in every CSV row
+- Run date, core source state, JDK, operating system, and hardware: recorded on the [benchmark environment page](../reference/environment.md)
 
 <!-- STEMMING-QUALITY:END -->

docs/benchmarks/reference/corpora.md

@@ -2,27 +2,27 @@
 
 The table below describes the Radixor resources used to build speed and quality corpora. `Total tokens` is the complete dictionary token count used by quality benchmarks. `Already-root tokens` counts fields where the token is already equal to the line root. `Changed tokens` is the speed workload before the minimum-size repeat rule.
 
-| Language resource | Dictionary rows | Total tokens | Already-root tokens | Changed tokens | Speed timing tokens |
-| --- | ---: | ---: | ---: | ---: | ---: |
-| `cs_cz` | 5,113 | 56,612 | 10,049 | 46,563 | 46,563 |
-| `da_dk` | 4,179 | 32,256 | 8,356 | 23,900 | 23,900 |
-| `de_de` | 39,315 | 213,440 | 73,799 | 139,641 | 139,641 |
-| `es_es` | 65,059 | 926,393 | 120,121 | 806,272 | 806,272 |
-| `fa_ir` | 69 | 3,770 | 138 | 3,632 | 5,000 |
-| `fi_fi` | 57,027 | 1,865,215 | 110,525 | 1,754,690 | 1,754,690 |
-| `fr_fr` | 59,240 | 474,110 | 108,141 | 365,969 | 365,969 |
-| `he_il` | 2,358 | 61,071 | 4,715 | 56,356 | 56,356 |
-| `hu_hu` | 19,406 | 935,713 | 38,775 | 896,938 | 896,938 |
-| `it_it` | 10,009 | 337,546 | 20,004 | 317,542 | 317,542 |
-| `nb_no` | 17,929 | 90,757 | 33,376 | 57,381 | 57,381 |
-| `nl_nl` | 4,992 | 31,466 | 9,981 | 21,485 | 21,485 |
-| `nn_no` | 4,688 | 19,651 | 6,089 | 13,562 | 13,562 |
-| `pl_pl` | 9,990 | 132,308 | 19,957 | 112,351 | 112,351 |
-| `pt_pt` | 4,001 | 215,490 | 8,002 | 207,488 | 207,488 |
-| `ru_ru` | 37,410 | 806,279 | 74,808 | 731,471 | 731,471 |
-| `sv_se` | 12,371 | 110,468 | 24,731 | 85,737 | 85,737 |
-| `uk_ua` | 1,493 | 15,737 | 2,985 | 12,752 | 12,752 |
-| `us_uk` | 396,939 | 1,004,374 | 793,874 | 210,500 | 210,500 |
-| `yi` | 802 | 4,300 | 1,524 | 2,776 | 5,000 |
+| Default model ID | Version | SHA-256 | Language | Dictionary rows | Total tokens | Already-root tokens | Changed tokens | Speed timing tokens |
+| --- | --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
+| `cs-cz-default` | `1.0.0` | `62afdaa6dc7a721b54a0dc278a0c648a63ad52a34a412d27b5b52fbcde9c1ce4` | `CS_CZ` | 5,113 | 56,612 | 10,049 | 46,563 | 46,563 |
+| `da-dk-default` | `1.0.0` | `3f7b670a0e7b872bda0381f5154ce058a4656297b39b7157b4ccf6560257cb90` | `DA_DK` | 4,179 | 32,256 | 8,356 | 23,900 | 23,900 |
+| `nl-nl-default` | `1.0.0` | `c098034adc42da2ca3e419160e6dd2c2b3868f8af334303b3a191e09caadaf5e` | `NL_NL` | 4,992 | 31,466 | 9,981 | 21,485 | 21,485 |
+| `us-uk-default` | `1.0.0` | `8c79122993499e437ea8b54b620832dca29019298f281c1f3132f4d1be885460` | `US_UK` | 396,939 | 1,004,374 | 793,874 | 210,500 | 210,500 |
+| `fi-fi-default` | `1.0.0` | `ca2628b3db31fee92f1b612ebbbd5e956a6dbbfb10e721325e55ef528f26072f` | `FI_FI` | 57,027 | 1,865,215 | 110,525 | 1,754,690 | 1,754,690 |
+| `fr-fr-default` | `1.0.0` | `a988658758952fd599dc7360e0234178a6d65ac46e5cedc7dcd325a7cb7e71d9` | `FR_FR` | 59,240 | 474,110 | 108,141 | 365,969 | 365,969 |
+| `de-de-default` | `1.0.0` | `cbfa038122823f02e4bdb54b0035492c356b6ecd80f11eb11290d7a7248a59f5` | `DE_DE` | 54,092 | 333,036 | 90,535 | 242,501 | 242,501 |
+| `he-il-default` | `1.0.0` | `9a47dc69bb7dab21aba0266b73cd74cdaeb17db94363796a0a56111ac8518256` | `HE_IL` | 2,358 | 61,071 | 4,715 | 56,356 | 56,356 |
+| `hu-hu-default` | `1.0.0` | `359d46a01d751ec823705ad7f3dd1cc8f6663feb1a9d13cb04d0c6fb51ab646e` | `HU_HU` | 19,406 | 935,713 | 38,775 | 896,938 | 896,938 |
+| `it-it-default` | `1.0.0` | `5e03be31c9761e30dbf24a47a5ced3d6ec949dabd31e92632fdd9f7c67fc2e12` | `IT_IT` | 10,009 | 337,546 | 20,004 | 317,542 | 317,542 |
+| `nb-no-default` | `1.0.0` | `f495bffb44e79d27993e6e2e65d4b1204b29365dc93f481b2d8b96766fc90fd9` | `NB_NO` | 17,929 | 90,757 | 33,376 | 57,381 | 57,381 |
+| `nn-no-default` | `1.0.0` | `900cf2005605aea2a3d8d731ec0b0c1f47fb4469b4ba6b9134145d4d026a0398` | `NN_NO` | 4,688 | 19,651 | 6,089 | 13,562 | 13,562 |
+| `fa-ir-default` | `1.0.0` | `b29a0d168a6a97f980666aa40b74a0edd8b6be4ab3320a7abfbb76b3529f4ea1` | `FA_IR` | 69 | 3,770 | 138 | 3,632 | 5,000 |
+| `pl-pl-unimorph` | `1.0.0` | `8191ed727097839cc808cbc5c56a1bd78b3c851e7733ad226ad9a51519a54721` | `PL_PL` | 9,990 | 132,308 | 19,957 | 112,351 | 112,351 |
+| `pt-pt-default` | `1.0.0` | `7a035ff330a6f0548f446cd0d6617bc1cf4751292125a3564d3a255c5d6f516d` | `PT_PT` | 4,001 | 215,490 | 8,002 | 207,488 | 207,488 |
+| `ru-ru-default` | `1.0.0` | `df7ea25e63a875eeec7a4185be685bd5372a3c568db85c34c44fdf5d8d980a40` | `RU_RU` | 37,410 | 806,279 | 74,808 | 731,471 | 731,471 |
+| `es-es-default` | `1.0.0` | `7a1ec94cfdb1e9a95431289d62dc5579cb2a532d99532eeda90290072e569721` | `ES_ES` | 65,059 | 926,393 | 120,121 | 806,272 | 806,272 |
+| `sv-se-default` | `1.0.0` | `d9be72e3d67c776622c4281e04e4063b9381e8f84a823d98ebf08888b82dff0c` | `SV_SE` | 12,371 | 110,468 | 24,731 | 85,737 | 85,737 |
+| `uk-ua-default` | `1.0.0` | `cf3f612cfff16cb7763f99c55851069489b883c3bdd1a6576cd8c57a97e07eae` | `UK_UA` | 1,493 | 15,737 | 2,985 | 12,752 | 12,752 |
+| `yi-default` | `1.0.0` | `f47de665c27dcd72833a82904e49c68a945bb5aca769a7ec5a0164e2c981a6d3` | `YI` | 802 | 4,300 | 1,524 | 2,776 | 5,000 |
 
 Speed benchmarks process the complete changed-token dictionary sequence for the language. Only resources with fewer than 5,000 changed tokens are repeated to reach the minimum timing size; larger resources are not sampled or truncated.

docs/benchmarks/reference/english-coverage.md

@@ -6,16 +6,16 @@ This benchmark is the clearest demonstration of the Radixor quality/speed envelo
 
 | Used rows | Actual row ratio | All exact | Changed exact | Root preserved | Speed ms/op | Error ms | ns/token |
 | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
-| 100% | 100.000% | 97.478% | 97.197% | 97.552% | 28.578 | 7.571 | 135.8 |
-| 90% | 90.000% | 97.047% | 94.913% | 97.613% | 26.612 | 9.227 | 126.4 |
-| 80% | 80.000% | 96.635% | 92.768% | 97.661% | 23.331 | 8.106 | 110.8 |
-| 70% | 70.000% | 96.209% | 90.565% | 97.705% | 22.362 | 1.957 | 106.2 |
-| 60% | 60.000% | 95.750% | 88.384% | 97.703% | 16.497 | 2.026 | 78.4 |
-| 50% | 50.000% | 95.262% | 86.107% | 97.690% | 16.035 | 0.986 | 76.2 |
-| 40% | 40.000% | 94.753% | 83.855% | 97.643% | 16.459 | 0.664 | 78.2 |
-| 30% | 30.000% | 94.208% | 81.651% | 97.537% | 19.566 | 0.758 | 92.9 |
-| 20% | 20.000% | 93.633% | 79.366% | 97.416% | 14.616 | 0.487 | 69.4 |
-| 10% | 10.000% | 92.868% | 76.516% | 97.204% | 18.093 | 3.147 | 86.0 |
+| 100% | 100.000% | 97.478% | 97.197% | 97.552% | 15.064 | 0.658 | 71.6 |
+| 90% | 90.000% | 97.047% | 94.913% | 97.613% | 17.798 | 2.161 | 84.6 |
+| 80% | 80.000% | 96.635% | 92.768% | 97.661% | 13.900 | 0.941 | 66.0 |
+| 70% | 70.000% | 96.209% | 90.565% | 97.705% | 14.809 | 1.376 | 70.3 |
+| 60% | 60.000% | 95.750% | 88.384% | 97.703% | 13.186 | 0.930 | 62.6 |
+| 50% | 50.000% | 95.262% | 86.107% | 97.690% | 12.852 | 0.943 | 61.1 |
+| 40% | 40.000% | 94.753% | 83.855% | 97.643% | 12.358 | 0.831 | 58.7 |
+| 30% | 30.000% | 94.208% | 81.651% | 97.537% | 11.657 | 0.921 | 55.4 |
+| 20% | 20.000% | 93.633% | 79.366% | 97.416% | 11.494 | 1.256 | 54.6 |
+| 10% | 10.000% | 92.868% | 76.516% | 97.204% | 9.895 | 0.925 | 47.0 |
 
 ## Column Meanings
 

docs/benchmarks/reference/environment.md

@@ -4,53 +4,85 @@ The values below are environment-specific and must not be read as universal perf
 
 | Item | Value |
 | --- | --- |
-| Benchmark date | 2026-07-06 (Europe/Prague) |
-| Focused comparison command family | `./gradlew jmh -Pjmh.includes='.*StemmerComparisonBenchmark.*' --no-daemon` |
-| English coverage command | `./gradlew jmh -Pjmh.includes='.*EnglishRadixorDictionaryCoverageBenchmark.*' --no-daemon` |
-| Speed result reports | `build/reports/jmh/stemmer-comparison-2026-07-06.csv`, `build/reports/jmh/stemmer-comparison-2026-07-06.txt`, `build/reports/jmh/english-coverage-2026-07-06.csv`, and `build/reports/jmh/english-coverage-2026-07-06.txt` |
-| Accuracy result reports | `build/reports/jmh/stemmer-comparison-2026-07-06.csv`, `build/reports/jmh/english-coverage-2026-07-06.csv`, and deterministic Radixor exact-root accounting over the same bundled language corpora |
-| Final comparison JMH scope | Stemmer comparison benchmarks only; internal `FrequencyTrie*` microbenchmarks were not run |
-| Coverage JMH scope | English Radixor dictionary coverage benchmark only |
+| Benchmark date | 2026-08-10 (Europe/Prague) |
+| Corpus command | `./gradlew benchmarkCorpusReport --no-daemon` |
+| Exact-root accuracy command | `tools/run-published-accuracy-benchmarks.sh 2026-08-10`; all four `*BenchmarkQuality` classes are selected and timing scores are discarded |
+| Stemming-quality command | `./gradlew stemmingQuality --no-daemon` |
+| Published speed command | `tools/run-published-speed-benchmarks.sh 2026-08-10` |
+| Published speed run interval | 2026-08-10 16:22:33 to 18:36:41 Europe/Prague (2 h 14 min 8 s, including idle intervals and both JMH suites) |
+| Stabilization intervals | 120 s before the main speed matrix; 60 s between the main matrix and coverage-speed suite |
+| Corpus and command report | `build/reports/jmh/benchmark-corpora.csv` |
+| Exact-root reports | `build/reports/jmh/stemmer-accuracy-2026-08-10.csv` and `.txt` |
+| Speed reports | `build/reports/jmh/stemmer-speed-2026-08-10.csv` and `.txt` |
+| English coverage accuracy reports | `build/reports/jmh/english-coverage-accuracy-2026-08-10.csv` and `.txt` |
+| English coverage speed reports | `build/reports/jmh/english-coverage-speed-2026-08-10.csv` and `.txt` |
+| Stemming-quality reports | `build/reports/stemming-quality/stemming-quality.csv` and `.md` |
+| Environment report | `build/reports/jmh/performance-environment-2026-08-10.txt` |
+| Selected speed methods | `build/reports/jmh/published-speed-benchmarks-2026-08-10.txt` |
+| Comparison scope | Same-language methods used by the 20 language pages; `PolishPolimorfStemmerComparisonBenchmark`, all quality methods, the separate CISTEM gold-standard experiment, and internal trie microbenchmarks are excluded |
+| Model scope | Exactly the 20 IDs declared by `Language.defaultModelId()`; Polish uses `pl-pl-unimorph`, and `pl-pl-polimorf` is not measured |
+| Core base commit | `b45e143c8484c2ae1d6e31069a2e67232c4f7f29` |
+| Measured source state | `release@4.1.0-dirty`; exact tracked changes and untracked-source checksums are retained as `measured-source-2026-08-10.patch` and `measured-untracked-2026-08-10.sha256` |
 | JMH version | 1.37 |
 | Speed benchmark mode | Average time, `time/op` |
-| Score unit | `ns/op` |
-| Speed warmup | 3 iterations, 1 s each |
-| Speed measurement | 5 iterations, 1 s each |
-| Accuracy warmup | 3 JMH warmup iterations were applied by the Gradle invocation; timing scores from quality methods are not interpreted |
-| Accuracy measurement | 5 JMH measurement samples; documentation uses deterministic auxiliary counter ratios from the same report |
-| Fork count in generated report files | 1 |
-| Default fork policy for accuracy-only benchmark classes | `@Fork(0)` for future default runs because accuracy counters are deterministic and not interpreted as speed |
-| Thread count | 1 |
-| JVM reported by JMH | JDK 25.0.3, OpenJDK 64-Bit Server VM, 25.0.3+9 |
-| Java runtime | OpenJDK Runtime Environment, Red Hat build 25.0.3+9 |
+| Score unit | `ns/op`; language pages additionally derive `ms/op` and `ns/token` |
+| Speed warmup | 5 iterations, 1 s each, independently in every fork |
+| Speed measurement | 10 iterations, 1 s each, independently in every fork |
+| Speed forks | 3 independent JVM forks |
+| Speed threads | 1 |
+| Speed fork heap | Fixed `-Xms6g -Xmx6g` |
+| Reported uncertainty | JMH `Score Error (99.9%)` over 30 measured samples |
+| Observed relative uncertainty | Main speed matrix: maximum 10.607%, with 2 of 105 rows above 10%; coverage-speed curve: maximum 12.142%, with 2 of 10 rows above 10%; no published row exceeded 20% |
+| Deterministic measurements | Corpus, patch-command distribution, exact-root counters, coverage accuracy, and pairwise stemming quality are evaluated without interpreting runtime scores; no warmup is required |
+| JVM reported by JMH | JDK 25.0.4, OpenJDK 64-Bit Server VM, 25.0.4+7 |
+| Java runtime | OpenJDK Runtime Environment, Red Hat build 25.0.4+7 |
 | JVM invoker | `/usr/lib/jvm/java-25-openjdk/bin/java` |
 | Operating system | Fedora Linux 44 (MATE-Compiz) |
-| Kernel | Linux 7.0.12-201.fc44.x86_64 |
+| Kernel | Linux 7.1.7-200.fc44.x86_64 |
 | Architecture | x86_64 |
-| CPU | AMD Ryzen 5 8600G w/ Radeon 760M Graphics |
-| Physical cores | 6 |
-| Logical CPUs | 12 |
+| CPU | AMD Ryzen 5 7600 6-Core Processor |
+| Physical / logical CPUs | 6 / 12 |
+| CPU frequency policy | `amd-pstate-epp`; governor `performance` on every logical CPU; EPP `performance`; boost enabled |
+| CPU affinity | Scheduler default; no explicit pinning |
+| Installed memory | 61 GiB reported by the operating system |
+| Pre-run idle state | Load average 0.16 / 0.42 / 0.88 after the 120 s idle interval; CPU Tctl 57.4 degrees Celsius; swap unused |
+| End-of-run state | Load average 1.59 / 1.49 / 1.36; CPU Tctl 78.1 degrees Celsius |
+| Power and idle policy | Developer workstation on stable power; screensaver, suspend, and hibernation disabled |
+| Concurrent project work | None during the published speed and coverage-speed run |
+
+The workstation is not a hard real-time system. Normal kernel and desktop background activity was not removed, so the three independent forks and the published 99.9% error interval remain essential parts of result interpretation. Initial/final load and temperature sensor readings are stored in the environment report.
 
 ## Contracted Trie Baseline
 
-All Radixor rows in the refreshed benchmark tables use contracted compiled patch tries. During compilation, a subtree whose reachable entries all resolve to the same preferred patch command is represented as an accepting leaf. Runtime lookup can therefore stop as soon as that leaf is reached, which reduces depth in uniform regions while preserving the preferred result used by `get()`.
+All Radixor rows use contracted compiled patch tries. During compilation, a subtree whose reachable entries all resolve to the same preferred patch command is represented as an accepting leaf. Runtime lookup can therefore stop as soon as that leaf is reached while preserving the preferred result used by `get()`.
+
+## Model And Source Identity
+
+`benchmark-corpora.csv` records the model ID, independent artifact version, and descriptor SHA-256 for every language. Every stemming-quality CSV row repeats the same three fields. The performance environment report additionally records checksums of the executable JMH JAR, runtime classpath manifest, corpus report, quality report, measured source patch, and untracked-source manifest.
+
+The JMH runtime classpath contains the optional model artifact because it is a separately testable project dependency. It is not selected by any published benchmark. The selected-method manifest rejects `PolishPolimorf`, and the corpus/quality publication validators reject any non-default Polish model.
 
 ## Report Files
 
 Generated local report files for this benchmark update:
 
-- `build/reports/jmh/stemmer-comparison-2026-07-06.csv`
-- `build/reports/jmh/stemmer-comparison-2026-07-06.txt`
-- `build/reports/jmh/english-coverage-2026-07-06.csv`
-- `build/reports/jmh/english-coverage-2026-07-06.txt`
+- `build/reports/jmh/benchmark-corpora.csv`
+- `build/reports/jmh/stemmer-accuracy-2026-08-10.csv`
+- `build/reports/jmh/stemmer-accuracy-2026-08-10.txt`
+- `build/reports/jmh/stemmer-speed-2026-08-10.csv`
+- `build/reports/jmh/stemmer-speed-2026-08-10.txt`
+- `build/reports/jmh/english-coverage-accuracy-2026-08-10.csv`
+- `build/reports/jmh/english-coverage-accuracy-2026-08-10.txt`
+- `build/reports/jmh/english-coverage-speed-2026-08-10.csv`
+- `build/reports/jmh/english-coverage-speed-2026-08-10.txt`
+- `build/reports/jmh/performance-environment-2026-08-10.txt`
+- `build/reports/stemming-quality/stemming-quality.csv`
+- `build/reports/stemming-quality/stemming-quality.md`
+- `build/reports/stemming-quality/metric-correlations-pearson.csv`
+- `build/reports/stemming-quality/metric-correlations-spearman.csv`
 
-JMH TXT and CSV reports are still published as benchmark artifacts. They are not converted into a Porter speed badge.
+The versioned documentation snapshot under `docs/benchmarks/data/` preserves the complete stemming-quality matrix. Machine-specific JMH reports remain build artifacts.
 
 ## Published Metrics
 
-The historical English Radixor versus Porter performance badge is no longer generated. `tools/generate-pages-badges.py` now produces only coverage and mutation badge endpoint JSON files:
-
-- `coverage-badge.json`
-- `pitest-badge.json`
-
-The README therefore no longer presents a single Porter speed ratio. Benchmark interpretation now uses both speed and quality, because a narrow or aggressive stemmer can be fast while disagreeing with the dictionary root much more often than Radixor.
+The historical English Radixor versus Porter performance badge is retired. `tools/generate-pages-badges.py` produces only coverage and mutation badge endpoint JSON files. Benchmark interpretation uses both speed and quality because a narrow or aggressive stemmer can be fast while disagreeing with the dictionary root much more often than Radixor.

docs/benchmarks/reference/linguistic-quality.md

@@ -8,18 +8,24 @@ The authoritative Radixor language universe is the reconciliation of registered
 
 Model identity is part of the candidate identity. Default Polish means `pl-pl-unimorph`; optional PoliMorf means `pl-pl-polimorf`. Results for those inputs must not be combined or relabeled, and historical snapshots cannot acquire a newer model identity retroactively.
 
-Within one language and dictionary mode, every adapter receives the same original included forms. Exact duplicates are removed only within one dictionary row. Identical surface forms in different rows remain distinct entries. Candidate strings use exact `String.equals`, with no evaluation-only lowercasing, normalization, accent removal, or gold-label-aware selection. Adapter preprocessing and lifecycle match the JMH comparison path.
+Within one language and dictionary mode, every adapter receives the same original included forms. A distinct surface string is one evaluated item even when it occurs in several rows; those occurrences become multiple gold-group memberships. Candidate strings use exact `String.equals`, with no evaluation-only lowercasing, normalization, accent removal, or gold-label-aware selection. Adapter preprocessing and lifecycle match the JMH comparison path.
 
 ## Gold-standard pairs
 
-Every usable dictionary row is a gold-standard equivalence group. An unordered pair from the same row is positive; a pair from different rows is negative. For group size `n`, `C2(n) = n * (n - 1) / 2`.
+Every usable dictionary row contributes one gold-standard group. The groups form an overlapping cover rather than an exclusive partition: one surface form may belong to several groups. For two distinct forms `u` and `v` with membership sets `G(u)` and `G(v)`:
 
-- `TP = underPossiblePairs - underErrorPairs`: same-group pairs correctly related.
-- `FN = underErrorPairs`: same-group pairs incorrectly separated.
-- `FP = overErrorPairs`: different-group pairs incorrectly related.
-- `TN = overPossiblePairs - overErrorPairs`: different-group pairs correctly separated.
+```text
+goldRelated(u, v) = (G(u) intersection G(v) is not empty)
+```
 
-Under-stemming is the false-negative relation among same-group pairs. Over-stemming is the false-positive relation among different-group pairs. Their percentages use different denominators and must not be added or averaged without an explicitly defined composite.
+A pair is counted once even if it shares several groups. Gold-negative pairs have disjoint membership sets. Thus:
+
+- `TP = underPossiblePairs - underErrorPairs`: gold-related pairs correctly related.
+- `FN = underErrorPairs`: gold-related pairs incorrectly separated.
+- `FP = overErrorPairs`: gold-negative pairs incorrectly related.
+- `TN = overPossiblePairs - overErrorPairs`: gold-negative pairs correctly separated.
+
+Under-stemming is Paice's Understemming Index (UI), the false-negative rate among gold-related pairs. Over-stemming is Paice's Overstemming Index (OI), the false-positive rate among gold-negative pairs. The original Paice formulation assumes disjoint lemma groups; this evaluator explicitly generalizes the pair relation to overlapping membership. Their percentages use different denominators and must not be added or averaged without an explicitly defined composite.
 
 ## Dictionary-processing modes
 
@@ -30,9 +36,9 @@ Under-stemming is the false-negative relation among same-group pairs. Over-stemm
 
 `PRIMARY_OUTPUT` uses the adapter's deterministic primary stem. It defines a strict predicted partition and is the principal direct comparison between implementations.
 
-`ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound. Same-group pairs succeed when candidate sets intersect. Different-group pairs avoid an error whenever a non-colliding candidate selection exists. Selection may differ between pairs, so this policy is not deterministic runtime behaviour and may not correspond to one globally realizable assignment.
+`ANY_CANDIDATE` is an optimistic oracle-assisted pairwise upper bound. Gold-related pairs succeed when candidate sets intersect. Gold-negative pairs avoid an error whenever a non-colliding candidate selection exists. Selection may differ between pairs, so this policy is not deterministic runtime behaviour and may not correspond to one globally realizable assignment. Because its positive and negative decisions use different oracle conditions, it does not define one confusion matrix; TP/FP/FN/TN and all confusion-derived scores are therefore `n/a`. Its separate under/over error counts and denominators remain defined.
 
-`ALL_CANDIDATES` treats every returned candidate as active. Two forms are related when their candidate sets intersect. Alternatives can recover same-group relationships while introducing cross-group collisions. This overlapping relation need not be transitive or form a partition.
+`ALL_CANDIDATES` treats every returned candidate as active. Two forms are related when their candidate sets intersect. Alternatives can recover gold-positive relationships while introducing gold-negative collisions. This overlapping relation need not be transitive or form a partition.
 
 Candidate-aware policies are reported as capability analyses. They are not mixed into the principal `PRIMARY_OUTPUT` ranking.
 
@@ -42,11 +48,11 @@ Undefined denominators produce `n/a`, never zero, `NaN`, or infinity. Metrics ar
 
 | Metric | Formula | Range and interpretation | Sensitivity and applicability |
 | --- | --- | --- | --- |
-| Under-stemming rate | `FN / (TP + FN)` | `[0, 1]`; lower is better. False-negative rate over same-group pairs. | Sensitive to splitting large gold groups. All policies. |
-| Over-stemming rate | `FP / (TN + FP)` | `[0, 1]`; lower is better. False-positive rate over different-group pairs. | The denominator is usually very large. All policies. |
-| Precision | `TP / (TP + FP)` | `[0, 1]`; higher is better. Fraction of predicted relations that are gold-positive. | Penalizes over-stemming. All policies, with oracle-assisted interpretation for `ANY_CANDIDATE`. |
-| Recall | `TP / (TP + FN)` | `[0, 1]`; higher is better. Fraction of gold-positive pairs recovered. | Equivalent to one minus the under-stemming rate. All policies. |
-| Specificity | `TN / (TN + FP)` | `[0, 1]`; higher is better. Fraction of negative pairs separated. | Sensitive to cross-group collisions. All policies. |
+| Under-stemming rate | `FN / (TP + FN)` | `[0, 1]`; lower is better. False-negative rate over gold-related pairs. | Sensitive to splitting large gold groups. All policies. |
+| Over-stemming rate | `FP / (TN + FP)` | `[0, 1]`; lower is better. False-positive rate over gold-negative pairs. | The denominator is usually very large. All policies. |
+| Precision | `TP / (TP + FP)` | `[0, 1]`; higher is better. Fraction of predicted relations that are gold-positive. | Penalizes over-stemming. `PRIMARY_OUTPUT` and `ALL_CANDIDATES`. |
+| Recall | `TP / (TP + FN)` | `[0, 1]`; higher is better. Fraction of gold-positive pairs recovered. | Equivalent to one minus the under-stemming rate. `PRIMARY_OUTPUT` and `ALL_CANDIDATES`. |
+| Specificity | `TN / (TN + FP)` | `[0, 1]`; higher is better. Fraction of negative pairs separated. | Sensitive to false conflations. `PRIMARY_OUTPUT` and `ALL_CANDIDATES`. |
 | Balanced accuracy | `(recall + specificity) / 2` | `[0, 1]`; higher is better. Equal weight for positive and negative classes. | Primary navigation metric; less dominated by TN than ordinary accuracy, but not uniquely authoritative. |
 | Pairwise accuracy | `(TP + TN) / (TP + TN + FP + FN)` | `[0, 1]`; higher is better. | Can be dominated by the very large TN class and is not the default ranking metric. |
 | Pairwise error rate | `(FP + FN) / (TP + TN + FP + FN)` | `[0, 1]`; lower is better. | Also sensitive to the number of negative pairs. |
@@ -59,17 +65,9 @@ Undefined denominators produce `n/a`, never zero, `NaN`, or infinity. Metrics ar
 
 The general F-beta formula is `((1 + betaSquared) * TP) / (((1 + betaSquared) * TP) + (betaSquared * FN) + FP)`.
 
-## Partition-only metrics
+## Inapplicable partition metrics
 
-These metrics apply only to `PRIMARY_OUTPUT`. Candidate relations are not forced into artificial partitions.
-
-- Adjusted Rand Index is the Rand agreement corrected for agreement expected from the gold/predicted contingency-table marginals. Its usual range is `[-1, 1]`, with `1` indicating identical partitions.
-- Homogeneity is `1 - H(gold | predicted) / H(gold)`, in `[0, 1]`; each predicted cluster ideally contains one gold group.
-- Completeness is `1 - H(predicted | gold) / H(predicted)`, in `[0, 1]`; each gold group ideally maps to one predicted cluster.
-- V-measure is the harmonic mean of homogeneity and completeness, in `[0, 1]`.
-- Normalized mutual information uses arithmetic-mean entropy normalization: `MI / ((H(gold) + H(predicted)) / 2)`, in `[0, 1]` under this implementation.
-
-Entropy zero cases follow the evaluator's explicit perfect/undefined conventions. Language tables render inapplicable candidate-policy values as `n/a`.
+Standard Adjusted Rand Index, homogeneity, completeness, V-measure, and normalized mutual information are not calculated. Their ordinary contingency-table definitions require every item to have one exclusive gold label. Assigning an arbitrary single label or duplicating a multi-membership form would change the scientific question and reintroduce the counting defect this methodology avoids. A future overlapping-clustering index would require a separately specified random model and interpretation; it must not be labelled as ordinary ARI or NMI.
 
 ## Aggregation and ranking
 
@@ -81,4 +79,4 @@ Multiple metrics and Pearson/Spearman correlation datasets are published because
 
 ## Limitations
 
-Dictionary groups encode the available annotation, not every linguistic distinction. Homographs may occur in different groups, singleton rows contribute no under-stemming pair, and group size affects pair counts. `ANY_CANDIDATE` is optimistic; `ALL_CANDIDATES` measures an overlapping graph; neither is a deterministic global assignment. Results characterize the tested versions, adapters, dictionaries, and preprocessing, not every deployment or domain.
+Dictionary groups encode the available annotation, not every linguistic distinction. Homographs and polyfunctional forms may have several memberships, singleton rows contribute no relation by themselves, and group size affects pair counts. `ANY_CANDIDATE` is optimistic; `ALL_CANDIDATES` measures an overlapping graph; neither is a deterministic global assignment. Results characterize the tested versions, adapters, dictionaries, and preprocessing, not every deployment or domain.

docs/benchmarks/reference/methodology.md

@@ -2,7 +2,7 @@
 
 The stemmer comparison suite measures Radixor and Java stemmers on the same language and deterministic Radixor model dictionary-derived data. Published Radixor rows in this refresh use contracted compiled patch tries, where uniform preferred-command subtrees are collapsed into accepting leaves before the trie is frozen for lookup. For each language, the registered default model resource stores the expected root as the first tab-separated field on a line and its surface forms on the same line. Every single-token field on that line can therefore be paired with the same expected root.
 
-Published stemmer comparison results must come only from benchmark classes matching `.*StemmerComparisonBenchmark.*`. Internal `FrequencyTrie*` microbenchmarks are not part of those results.
+Published speed results come only from the exact method selection retained in `published-speed-benchmarks-2026-08-10.txt`. Internal `FrequencyTrie*` microbenchmarks, quality methods, the CISTEM gold-standard experiment, and the optional `PolishPolimorfStemmerComparisonBenchmark` are not part of those results. The Snowball 3.1.0 refresh adds direct Czech, Persian, and Polish workloads; the existing Radixor and Lucene workload domains are unchanged.
 
 ## Benchmark Passes
 
@@ -13,6 +13,8 @@ There are two distinct benchmark passes:
 
 Timing corpora are generated once per JMH JVM and kept in memory as shared `{token, expectedRoot}` arrays. Corpus construction, dictionary loading, trie loading, table loading, and analyzer construction are setup work and are not included in measured benchmark methods.
 
+The deterministic and timed workloads are executed separately. Corpus statistics, patch-command counts, exact-root counters, coverage accuracy, and pairwise quality do not use or interpret warmup or runtime scores. Published speed and coverage-speed methods use three independent forks, five one-second warmup iterations and ten one-second measurement iterations per fork, one benchmark thread, and a fixed 6 GiB heap.
+
 Performance is interpreted as average time per input token:
 
 ```text
@@ -37,10 +39,10 @@ For right-to-left Radixor languages, patch application uses the traversal direct
 
 ## Quality Metric
 
-The quality pass reports exact-root agreement against the expected root from the Radixor dictionary line. It writes to the normal JMH report files:
+The quality pass reports exact-root agreement against the expected root from the default-model dictionary line. External-stemmer counters are written to:
 
-- `build/reports/jmh/jmh-results.csv`
-- `build/reports/jmh/jmh-results.txt`
+- `build/reports/jmh/stemmer-accuracy-2026-08-10.csv`
+- `build/reports/jmh/stemmer-accuracy-2026-08-10.txt`
 
 Accuracy is computed from standard JMH secondary rows:
 
@@ -54,7 +56,7 @@ rootPreservedPercent = rootPreservedMatches / rootEvaluatedTokens * 100
 
 Morfologik can emit multiple terms for one input token. The quality benchmark uses the first emitted term for exact-root accounting when no ranking weight is exposed. Throughput benchmarks for Morfologik TokenFilter paths consume all emitted terms.
 
-Quality reports use JMH auxiliary counter rows. Exact-root accounting is deterministic for a fixed corpus and stemmer, so repeated measurement samples duplicate the same counters; documentation uses the counter ratios and does not interpret quality benchmark timing scores.
+External-stemmer quality reports use JMH auxiliary counter rows from one deterministic evaluation. Radixor exact-root counts are computed directly while the default-model corpus and preferred patch commands are audited, so all 20 default models have the same coverage even where no older JMH quality adapter existed. Documentation uses counter ratios and does not interpret quality benchmark timing scores.
 
-Pairwise over-stemming, under-stemming, candidate-aware policies, balanced accuracy, and partition comparison are a separate analytical evaluation. See [Linguistic Quality Methodology](linguistic-quality.md); exact-root accuracy must not be interpreted as the complement of pairwise under-stemming.
+Pairwise over-stemming, under-stemming, candidate-aware policies, and relation metrics are a separate analytical evaluation. See [Linguistic Quality Methodology](linguistic-quality.md); exact-root accuracy must not be interpreted as the complement of pairwise under-stemming.
 Default rows use `Language.defaultModelId()`. Optional variants require a separate model field; `pl-pl-unimorph` and `pl-pl-polimorf` must never share an ambiguous Polish label. The benchmark runtime receives each resource exactly once from its individual model JAR through direct JMH runtime dependencies. See [Model Selection and Loading](../../model-selection-and-loading.md).

docs/benchmarks/reference/reproducibility.md

@@ -4,26 +4,37 @@
 
 - Machine-readable CSV: [stemming-quality.csv](../data/stemming-quality.csv)
 - SHA-256 record: [stemming-quality.sha256](../data/stemming-quality.sha256)
-- SHA-256: `5a93a6ab60e46489737cd649eb1ac48182114b9038f7f20195ab9d1c1fc0dd28`
-- Complete scenarios: 308
+- SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
+- Complete scenarios: 314
 - Authoritative language universe: 20 languages
-- Language-page scenarios: 302 across 19 existing benchmark pages
+- Language-page scenarios: 314 across 20 benchmark pages
 
-The six remaining scenarios are the three Radixor policies in two modes for `HE_IL`. Hebrew is present in the complete result snapshot but has no existing language benchmark page.
-
-The CSV contains raw TP, FP, FN, and TN counts; raw over/under numerators and denominators; candidate statistics; relation metrics; and partition-only metrics. Documentation is regenerated from this file rather than manually transcribed.
+The CSV contains the model ID, independent model version, descriptor SHA-256, raw pair counts, raw over/under numerators and denominators, candidate statistics, and relation metrics. Reserved partition-metric columns remain empty because the gold standard is an overlapping cover. Documentation is regenerated from this file rather than manually transcribed. Publication fails when any row uses a model other than the language's registered default.
 
 ## Commands
 
 ```bash
-./gradlew stemmingQuality
-./gradlew publishStemmingQualityDocumentation
-./gradlew verifyStemmingQualityDocumentation
+./gradlew --no-daemon stemmingQuality \
+    publishStemmingQualityDocumentation \
+    verifyStemmingQualityDocumentation
+./gradlew --no-daemon benchmarkCorpusReport writeJmhRuntimeClasspath
+tools/run-published-accuracy-benchmarks.sh 2026-08-10
+tools/run-published-speed-benchmarks.sh 2026-08-10
+python3 tools/update-benchmark-documentation.py \
+    --corpus build/reports/jmh/benchmark-corpora.csv \
+    --accuracy build/reports/jmh/stemmer-accuracy-2026-08-10.csv \
+    --speed build/reports/jmh/stemmer-speed-2026-08-10.csv \
+    --coverage-accuracy build/reports/jmh/english-coverage-accuracy-2026-08-10.csv \
+    --coverage-speed build/reports/jmh/english-coverage-speed-2026-08-10.csv
 ./gradlew test
 ./gradlew prepareMkDocsSource
 mkdocs build --strict --config-file build/mkdocs/mkdocs.yml
 ```
 
+For an immediate local preview, `mkdocs serve` works directly from the repository root. The checked-in
+model catalog makes that source tree complete. After changing model metadata or model bytes, refresh it
+with `./gradlew publishModelCatalogDocumentation`; verification rejects a stale checked-in catalog.
+
 `stemmingQuality` performs the expensive complete evaluation and is intentionally not attached to `test` or `check`. It prepares JMH third-party dependencies automatically and writes:
 
 - `build/reports/stemming-quality/stemming-quality.csv`
@@ -57,19 +68,21 @@ The Pages workflow publishes that staged documentation together with Javadoc, JU
 
 ## Performance benchmark reproduction
 
-The JMH comparison command family is:
+The current accuracy, speed, and coverage commands are:
 
 ```bash
-./gradlew jmh -Pjmh.includes='.*StemmerComparisonBenchmark.*' --no-daemon
+./gradlew --no-daemon benchmarkCorpusReport writeJmhRuntimeClasspath
+tools/run-published-accuracy-benchmarks.sh 2026-08-10
+tools/run-published-speed-benchmarks.sh 2026-08-10
 ```
 
-The exact JMH configuration, hardware, operating system, and JDK captured for the published performance tables are listed in [Environment and reports](environment.md). Quality and performance reports are separate datasets and are not combined into an undocumented scalar.
+The speed runner refuses to start unless every CPU uses the `performance` governor, materializes the exact selected benchmark list, rejects quality/Polimorf/gold-standard methods, and requires the Hebrew speed path. It records hardware, JVM, source-state, JAR, classpath, corpus, quality, load, temperature, and governor provenance before running. The accuracy runner evaluates all four exact-root benchmark classes and verifies that every new Snowball 3.1.0 candidate exposes all six accuracy counters. The exact JMH configuration is listed in [Environment and reports](environment.md). Quality and performance reports are separate datasets and are not combined into an undocumented scalar.
 
 ## Recorded and unavailable provenance
 
-The performance documentation records its 2026-07-06 environment, JDK 25.0.3, operating system, and hardware. The quality CSV records the evaluated identifiers and counts but does not embed the Radixor Git revision, generation date, JDK, operating system, model ID, dictionary content hash, or immutable upstream revisions for every downloaded source. These fields are explicitly unavailable for this historical snapshot and are not reconstructed from filesystem timestamps. In particular, the snapshot predates the optional PoliMorf integration and must not be relabeled as `pl-pl-polimorf`.
+The performance documentation records its 2026-08-10 environment, JDK, operating system, hardware, base revision, exact dirty patch, untracked-source checksums, executable JMH JAR checksum, and model descriptor checksums. The quality CSV embeds model identity and checksum in every row; run date, core source state, JVM, OS, and hardware are shared provenance on the environment page.
 
-Dependency versions that are reproducible from repository configuration include Apache Lucene 10.5.0, Morfologik 2.1.9, the Ukrainian dictionary artifact 4.9.1, and JMH 1.37. Other upstream branches or downloaded dictionary revisions should be pinned and embedded in a future result schema.
+Exact immutable upstream revisions were not recorded for every legacy UniMorph import. That limitation remains explicit in model descriptors and cannot be repaired from filesystem timestamps. Dependency versions reproducible from repository configuration include Apache Lucene 10.5.0, Morfologik 2.1.9, the Ukrainian dictionary artifact 4.9.1, and JMH 1.37.
 
 ## Correlation and audit data
 

docs/benchmarks/reference/tested-stemmers.md

@@ -4,10 +4,10 @@ The JMH adapter registry is authoritative for evaluated implementations and lang
 
 | Family or implementation | Upstream / attribution | Tested version or revision | Evaluated scope | Output capability and adapter behaviour | Interpretation notes |
 | --- | --- | --- | --- | --- | --- |
-| Radixor | Egothor / Radixor project | Current repository revision; exact revision was not embedded in the quality CSV | All 20 reconciled default model languages; 19 have benchmark pages | Deterministic preferred patch via `get`; ranked distinct alternatives via `getAll`; primary is always included | Model-dictionary-derived compiled patch trie. Default rows use each language's stable default model ID. |
+| Radixor | Egothor / Radixor project | Base commit and measured working-tree state recorded on the environment page | All 20 reconciled default model languages; all 20 have benchmark pages | Deterministic preferred patch via `get`; ranked distinct alternatives via `getAll`; primary is always included | Dictionary-trained compiled patch trie. Default rows use each language's stable default model ID. |
 | Apache Lucene language stem filters | Apache Lucene project | 10.5.0 | Adapter-declared language-specific subsets | TokenFilter lifecycle and language normalization match JMH; normally single-output | Light, minimal, possessive, and language stem filters deliberately implement different scopes. Narrow scope is not a defect. |
 | Apache Lucene SnowballFilter | Apache Lucene project using Snowball algorithms | Lucene 10.5.0 | Snowball-supported subset of Radixor languages | Single primary token emitted through the Lucene TokenFilter path | Includes TokenStream overhead and required normalization. |
-| Official Snowball Java | Snowball project | Repository preparation downloads the configured upstream Java distribution; an immutable revision was not recorded in the quality CSV | Same-language adapter subset | Direct generated Java API; single output | Rule-based suffix algorithms provide broad baselines rather than dictionary-root guarantees. |
+| Official Snowball Java | Snowball project | 3.1.0 source distribution; SHA-256 `5dab34d491f55f47b6e971569ffe6aadf5991512c648ddfe5d331b494cf6d655` | 17 same-language direct adapters, including the Czech, Persian, and Polish stemmers added in 3.1.0 | Direct generated Java API; single output | Rule-based suffix algorithms provide broad baselines rather than dictionary-root guarantees. Lucene 10.5.0 does not yet expose the three new algorithms through `SnowballFilter`, so those rows are direct-only. |
 | Lucene Stempel | Apache Lucene / Polish stemming tables | Lucene 10.5.0 | Polish | Direct and TokenFilter paths where registered; single primary output | Table-driven Polish implementation. |
 | Morfologik | Morfologik project; Lucene integration by Apache Lucene | Morfologik 2.1.9, Lucene integration 10.5.0; Ukrainian dictionary artifact 4.9.1 | Registered Polish and Ukrainian paths | Deterministic first lemma for primary comparison; all distinct lemma strings for candidate policies | Several analyses may share a lemma and are deduplicated by exact string equality. |
 | Hunspell via Lucene | Hunspell dictionaries from the `wooorm/dictionaries` repository; adapter by Apache Lucene | Lucene 10.5.0; dictionary repository revision was not recorded | Configured German, English, Spanish, French, Dutch, Polish, and Ukrainian dictionaries | First emitted stem is primary; all distinct stems at the token position are candidates | Dictionary content and affix rules differ by language. |

docs/builds.md

@@ -0,0 +1,3 @@
+# Historical Builds
+
+The Pages publication workflow replaces this local placeholder with the retained build index.

docs/built-in-languages.md

@@ -1,33 +1,42 @@
 # Built-in Languages and Default Models
 
-“Supported language” means that Radixor defines a language enum value and publishes a corresponding default model artifact. It does not mean that a dictionary is embedded in the core JAR. Applications add model artifacts explicitly or use the optional standard pack.
+“Supported language” means that the repository maintains a default dictionary
+and runtime mapping for that language. Packaging differs by runtime: Java keeps
+the core dictionary-free and resolves external model artifacts, while the
+Python installs a separate `radixor-models-standard` data package containing
+the 20 default dictionaries in precompiled version 7 form.
 
-The language enum carries language identity, writing direction, a legacy resource-directory name, and the stable default model ID. A model descriptor carries the independently versioned model identity and resource. See [Model Selection and Loading](model-selection-and-loading.md) for the API and the generated [model catalog](stemmer-model-catalog.md) for versions, provenance, checksums, and sizes.
+The Java language enum carries language identity, writing direction, a legacy
+resource-directory name, and the stable default model ID. A Java model
+descriptor carries the independently versioned model identity and resource.
+Python accepts the short alias or the same full model ID. See
+[Model Selection and Loading](model-selection-and-loading.md) for Java and
+[Python Usage and API](python/usage.md) for Python.
 
 ## Defaults and variants
 
-| Language | Enum | Default model ID | Default artifact | Optional variants |
-|---|---|---|---|---|
-| Czech | `CS_CZ` | `cs-cz-default` | `org.egothor:radixor-model-cs-cz-default` | — |
-| Danish | `DA_DK` | `da-dk-default` | `org.egothor:radixor-model-da-dk-default` | — |
-| German | `DE_DE` | `de-de-default` | `org.egothor:radixor-model-de-de-default` | — |
-| Spanish | `ES_ES` | `es-es-default` | `org.egothor:radixor-model-es-es-default` | — |
-| Persian | `FA_IR` | `fa-ir-default` | `org.egothor:radixor-model-fa-ir-default` | — |
-| Finnish | `FI_FI` | `fi-fi-default` | `org.egothor:radixor-model-fi-fi-default` | — |
-| French | `FR_FR` | `fr-fr-default` | `org.egothor:radixor-model-fr-fr-default` | — |
-| Hebrew | `HE_IL` | `he-il-default` | `org.egothor:radixor-model-he-il-default` | — |
-| Hungarian | `HU_HU` | `hu-hu-default` | `org.egothor:radixor-model-hu-hu-default` | — |
-| Italian | `IT_IT` | `it-it-default` | `org.egothor:radixor-model-it-it-default` | — |
-| Norwegian Bokmål | `NB_NO` | `nb-no-default` | `org.egothor:radixor-model-nb-no-default` | — |
-| Dutch | `NL_NL` | `nl-nl-default` | `org.egothor:radixor-model-nl-nl-default` | — |
-| Norwegian Nynorsk | `NN_NO` | `nn-no-default` | `org.egothor:radixor-model-nn-no-default` | — |
-| Polish | `PL_PL` | `pl-pl-unimorph` | `org.egothor:radixor-model-pl-pl-unimorph` | `pl-pl-polimorf` / `org.egothor:radixor-model-pl-pl-polimorf` |
-| Portuguese | `PT_PT` | `pt-pt-default` | `org.egothor:radixor-model-pt-pt-default` | — |
-| Russian | `RU_RU` | `ru-ru-default` | `org.egothor:radixor-model-ru-ru-default` | — |
-| Swedish | `SV_SE` | `sv-se-default` | `org.egothor:radixor-model-sv-se-default` | — |
-| Ukrainian | `UK_UA` | `uk-ua-default` | `org.egothor:radixor-model-uk-ua-default` | — |
-| English | `US_UK` | `us-uk-default` | `org.egothor:radixor-model-us-uk-default` | — |
-| Yiddish | `YI` | `yi-default` | `org.egothor:radixor-model-yi-default` | — |
+| Language | Java enum | Python alias | Default model ID | Java default artifact | Optional variants |
+|---|---|---|---|---|---|
+| Czech | `CS_CZ` | `cs` | `cs-cz-default` | `org.egothor:radixor-model-cs-cz-default` | — |
+| Danish | `DA_DK` | `da` | `da-dk-default` | `org.egothor:radixor-model-da-dk-default` | — |
+| German | `DE_DE` | `de` | `de-de-default` | `org.egothor:radixor-model-de-de-default` | — |
+| Spanish | `ES_ES` | `es` | `es-es-default` | `org.egothor:radixor-model-es-es-default` | — |
+| Persian | `FA_IR` | `fa` | `fa-ir-default` | `org.egothor:radixor-model-fa-ir-default` | — |
+| Finnish | `FI_FI` | `fi` | `fi-fi-default` | `org.egothor:radixor-model-fi-fi-default` | — |
+| French | `FR_FR` | `fr` | `fr-fr-default` | `org.egothor:radixor-model-fr-fr-default` | — |
+| Hebrew | `HE_IL` | `he` | `he-il-default` | `org.egothor:radixor-model-he-il-default` | — |
+| Hungarian | `HU_HU` | `hu` | `hu-hu-default` | `org.egothor:radixor-model-hu-hu-default` | — |
+| Italian | `IT_IT` | `it` | `it-it-default` | `org.egothor:radixor-model-it-it-default` | — |
+| Norwegian Bokmål | `NB_NO` | `nb` | `nb-no-default` | `org.egothor:radixor-model-nb-no-default` | — |
+| Dutch | `NL_NL` | `nl` | `nl-nl-default` | `org.egothor:radixor-model-nl-nl-default` | — |
+| Norwegian Nynorsk | `NN_NO` | `nn` | `nn-no-default` | `org.egothor:radixor-model-nn-no-default` | — |
+| Polish | `PL_PL` | `pl` | `pl-pl-unimorph` | `org.egothor:radixor-model-pl-pl-unimorph` | `pl-pl-polimorf` / `org.egothor:radixor-model-pl-pl-polimorf` |
+| Portuguese | `PT_PT` | `pt` | `pt-pt-default` | `org.egothor:radixor-model-pt-pt-default` | — |
+| Russian | `RU_RU` | `ru` | `ru-ru-default` | `org.egothor:radixor-model-ru-ru-default` | — |
+| Swedish | `SV_SE` | `sv` | `sv-se-default` | `org.egothor:radixor-model-sv-se-default` | — |
+| Ukrainian | `UK_UA` | `uk` | `uk-ua-default` | `org.egothor:radixor-model-uk-ua-default` | — |
+| English | `US_UK` | `en` | `us-uk-default` | `org.egothor:radixor-model-us-uk-default` | — |
+| Yiddish | `YI` | `yi` | `yi-default` | `org.egothor:radixor-model-yi-default` | — |
 
 The maintained table deliberately avoids duplicating mutable provenance and checksum fields. Those values come from module metadata and are generated into the model catalog.
 
@@ -44,6 +53,11 @@ The maintained table deliberately avoids duplicating mutable provenance and chec
 
 UniMorph and PoliMorf have different lexical sources and provenance. Applications should compare outputs with application-specific regression tests before changing an explicit model choice.
 
+In Python, `Stemmer("pl")` selects `pl-pl-unimorph`. The standard Python data
+package does not include PoliMorf; applications that need it must compile and
+load it explicitly as a trusted custom model. As in Java, it never changes the
+Polish default implicitly.
+
 ## Dependency patterns
 
 Minimal English:

docs/cli-compilation.md

@@ -1,7 +1,11 @@
-# CLI Compilation
+# Java CLI Compilation
 
 Radixor provides a command-line compiler for turning line-oriented dictionary files into compact binary stemmer artifacts.
 
+This page documents the Java CLI and its selectable reduction and normalization
+controls. Python exposes its production compilation profile through
+`radixor.compile(...)`; see [Compiling Dictionaries in Python](python/model-compilation.md).
+
 The CLI output is not a model JAR. A model artifact contains a compressed textual dictionary, descriptor, index, checksum, and license so the runtime registry can discover and compile it. The CLI instead emits an already compiled binary trie for direct `loadBinaryCompiled(...)` use. Choose the model-module workflow when independently published classpath discovery is required; choose the CLI when the application owns a compiled binary asset.
 
 This is the preferred preparation workflow when stemming should run against an already compiled artifact rather than against raw dictionary input. The CLI reads the dictionary, derives patch commands, builds a mutable trie, applies the selected subtree reduction strategy, and writes the final compiled trie in the project binary format under GZip compression. The result is a deployment-ready `.radixor.gz` file that can be loaded directly by application code.

docs/dictionary-format.md

@@ -8,11 +8,16 @@ Three artifacts must not be confused:
 
 | Artifact | Representation | Consumer |
 |---|---|---|
-| Source textual dictionary | Plain UTF-8 tab-separated rows | Authors, parser, CLI, or model preparation |
-| Registered model resource | The same Radixor dictionary bytes under GZip, accompanied by index, descriptor, checksum, and license | `StemmerModelRegistry` and `StemmerPatchTrieLoader` |
-| Persisted compiled trie | GZip-compressed Radixor binary format, commonly `.radixor.gz` | `loadBinaryCompiled(...)` |
+| Source textual dictionary | Plain UTF-8 tab-separated rows, optionally GZip-compressed | Java and Python loaders or compilation tools |
+| Registered Java model resource | The same dictionary bytes under GZip, accompanied by index, descriptor, checksum, and license | Java `StemmerModelRegistry` and `StemmerPatchTrieLoader` |
+| Standard Python model resource | A precompiled version 7 `.rxc` artifact in the required `radixor-models-standard` data package | Python `Stemmer("<alias>")` |
+| Persisted compiled trie | GZip-compressed Radixor version 7 binary, commonly `.radixor.gz` in Java or `.rxc` in Python | Java `loadBinaryCompiled(...)` and Python `Stemmer(compiled=...)` |
 
-The model file named `stemmer.gz` is not Java serialization and is not a pre-instantiated or persisted trie. It is compressed textual dictionary input parsed when the model is loaded.
+The Java model file named `stemmer.gz` is not Java serialization and is not a
+pre-instantiated or persisted trie. It is compressed textual dictionary input
+parsed when a Java model is loaded. Python's standard data distribution instead
+contains generated, precompiled version 7 tries; neither Python distribution
+ships the textual source dictionaries.
 
 Consequently, compressed size is not a construction-memory estimate. The PoliMorf resource is 12,624,997 bytes compressed and 68,093,680 bytes decompressed, while full parsing, trie construction, reduction, and patch compilation require a dedicated verification JVM with a 6 GiB maximum heap.
 
@@ -25,6 +30,22 @@ generation are disclosed transformations; the in-memory trie is a Radixor runtim
 
 Each logical line describes one canonical stem and zero or more known word variants that should reduce to that stem. The format is intentionally lightweight, easy to maintain in source control, and directly consumable both by the programmatic loader and by the CLI compiler.
 
+## Use the format from either runtime
+
+The dictionary semantics are shared; the integration entry points are not:
+
+| Task | Java | Python |
+|---|---|---|
+| Load and compile text now | `StemmerPatchTrieLoader.loadCompiled(...)` | `Stemmer(path=...)` |
+| Compile a reusable binary | `org.egothor.stemmer.Compile` | `radixor.compile(...)` |
+| Load a compiled binary | `StemmerPatchTrieLoader.loadBinaryCompiled(...)` | `Stemmer(compiled=...)` |
+| Registered/standard language | External model JAR selected through the registry | Compiled model in `radixor-models-standard`, selected by alias or model ID |
+
+Python compilation writes the shared version 7 stream using its fixed
+production reduction profile. Java exposes additional reduction and
+normalization controls. See [Java CLI Compilation](cli-compilation.md) and
+[Compiling Dictionaries in Python](python/model-compilation.md).
+
 ## Core structure
 
 Each non-empty logical line has the following shape:

docs/fast-track.md

@@ -1,10 +1,13 @@
-# Fast Track
+# Java Fast Track
 
 This page is the shortest path from an empty Java project to a working Radixor stemmer.
 It deliberately uses an external model artifact and the preferred compiled-command runtime API, so the
 first result does not require writing a dictionary, running the CLI compiler, or understanding
 reduction internals.
 
+For the native Python package, start with the [Python Fast Track](python/fast-track.md)
+instead; Python does not use Maven model artifacts or the Java loader API.
+
 Use this page when the goal is:
 
 - add the dependency,

docs/getting-started.md

@@ -0,0 +1,34 @@
+# Get Started with Radixor
+
+Radixor provides first-class Java and Python runtimes over the same learned
+patch-command model. Choose the environment that matches the application; both
+use the maintained language catalog and can exchange compiled version 7 tries.
+
+## Python
+
+Choose Python for native CPython integration, efficient batch calls, and a
+PyStemmer-compatible migration surface.
+
+```bash
+python -m pip install radixor
+```
+
+- [Python Fast Track](python/fast-track.md) — install and produce the first stem.
+- [Python Quick Start](python/quick-start.md) — build an application workflow.
+- [Python Usage and API](python/usage.md) — scalar, batch, cache, and custom-model APIs.
+
+## Java
+
+Choose Java for JVM integration, selectable reduction modes, registry-based
+model discovery, and extending or persisting compiled tries.
+
+- [Java Fast Track](fast-track.md) — add the core/model dependencies and produce the first stem.
+- [Java Quick Start](quick-start.md) — loading, querying, extension, and persistence.
+- [Java Integration Deep Dive](integration-deep-dive.md) — lifecycle and production guidance.
+
+## Shared concepts
+
+- [Built-in Languages](built-in-languages.md) documents aliases, model IDs, and defaults.
+- [Dictionary Format](dictionary-format.md) defines the common source semantics.
+- [Benchmarks](benchmarks/index.md) separates runtime speed from linguistic quality.
+- [Architecture](architecture.md) explains shared behavior and runtime-specific internals.

docs/index.md

@@ -1,53 +1,9 @@
-<h1 class="visually-hidden">Home</h1>
-<p align="center">
-  <img src="assets/images/banner.jpg" alt="Radixor banner" style="width: 100%; max-width: 1100px;">
-</p>
+---
+template: landing.html
+title: Radixor
+description: Learned transformation stemming for Java and Python using compact reduced tries of patch commands across 20 languages.
+---
 
-**Radixor** is a high-performance, multi-language stemmer for Java, built for production-grade search and text-processing systems.
+# Radixor
 
-It modernizes the proven Egothor patch-command trie approach and extends it for deployment realities that classic stemming pipelines do not handle well.
-
-Traditional Egothor-style stemming workflows usually treat a compiled dictionary as a fixed artifact. Once built, its lexical knowledge is effectively closed unless the original source dictionary is recompiled. Radixor removes that constraint. An already compiled stemming structure can be extended with additional words and transformations, which makes it possible to evolve an existing dictionary for domain-specific, customer-specific, or deployment-specific vocabulary without rebuilding the entire lexical base from scratch.
-
-Radixor also improves how ambiguous reductions can be handled at runtime. Instead of always forcing a single result, it can return multiple plausible stems when the input token cannot be reduced unambiguously. This allows downstream systems to preserve linguistic ambiguity where that is operationally useful, whether for retrieval quality, ranking strategies, diagnostics, or domain-specific normalization policies.
-
-The project also has a clear research lineage. The historical idea behind this stemming family is described in Leo Galambos's paper *Lemmatizer for Document Information Retrieval Systems in JAVA* (SOFSEM 2001), which presents a semi-automatic stemming technique designed for Java-based information retrieval systems. In Radixor documentation, this reference serves as historical and algorithmic background rather than as technical documentation of the current implementation.
-
-> Unlike traditional Egothor-based deployments, Radixor can extend an already compiled stemmer dictionary and can return multiple stems when a word is not reducible to a single unambiguous form.
-
-Radixor delivers:
-
-- **Fast runtime stemming** with compact lookup structures
-- **Multi-language adaptability** through dictionary-driven compilation
-- **Extension of compiled stemmer structures** without full recompilation from source dictionaries
-- **Incremental vocabulary growth** for deployment-specific lexical refinement
-- **Support for multiple stemming results** when reduction is ambiguous
-- **Deterministic behavior** suitable for reproducible processing pipelines
-- **Flexible integration paths**, including CLI-based and programmatic workflows
-- **Operational transparency** through continuously published quality and benchmark reports
-
-Radixor is intended for teams that require consistent stemming quality at scale, while retaining the ability to evolve lexical resources after compilation and to handle ambiguous reductions with greater precision than traditional single-stem pipelines allow.
-
-## Add the core and model data
-
-The core `org.egothor:radixor` JAR contains no language dictionary. A minimal application adds one model; broad deployments may use the optional standard pack:
-
-```groovy
-dependencies {
-    implementation 'org.egothor:radixor:<radixor-version>'
-    runtimeOnly 'org.egothor:radixor-model-pl-pl-unimorph:1.0.0'
-}
-```
-
-`StemmerPatchTrieLoader.loadCompiled(Language.PL_PL, ...)` resolves the default `pl-pl-unimorph`. `pl-pl-polimorf` is a separate optional model selected by stable model ID. Follow [Model Selection and Loading](model-selection-and-loading.md) for runnable examples or choose artifacts from the generated [model catalog](stemmer-model-catalog.md).
-
-## Start here
-
-- Read [Fast Track](fast-track.md) when you want the shortest path to a working bundled stemmer.
-- Use [Model Selection and Loading](model-selection-and-loading.md) for default, explicit, dual-model, and ClassLoader examples.
-- Use [Integration Deep Dive](integration-deep-dive.md) when you are wiring Radixor into a real application or search pipeline.
-- Read [Quick Start](quick-start.md) for the broader developer walkthrough after the first result works.
-- Use [Built-in Languages](built-in-languages.md) to interpret language defaults and optional model variants.
-- Review [Benchmarking](benchmarking.md) and [Benchmark Results](benchmarks/index.md) for reproducible performance and quality methodology.
-- Open [CI Reports](reports.md) to inspect published build artifacts and quality metrics.
-- See the historical paper: [*Lemmatizer for Document Information Retrieval Systems in JAVA*](https://www.researchgate.net/publication/221512865_Lemmatizer_for_Document_Information_Retrieval_Systems_in_JAVA).
+Learned transformation stemming for Java and Python, using compact reduced tries of patch commands and reproducible quality/performance benchmarks across 20 languages.

docs/integration-deep-dive.md

@@ -1,4 +1,4 @@
-# Integration Deep Dive
+# Java Integration Deep Dive
 
 This page explains how to integrate Radixor into a real Java application after the first
 fast-track experiment works. It covers dependencies, external model artifacts, runtime lifecycle,

docs/overrides/landing.html

@@ -0,0 +1,133 @@
+{% extends "base.html" %}
+{% block extrahead %}{{ super() }}<meta name="theme-color" content="#ffffff"><meta property="og:title" content="Radixor — High-quality multilingual stemming"><meta property="og:description" content="Learned transformation stemming for Java and Python: compact patch-command tries, 20 languages, and reproducible quality and performance benchmarks.">{% endblock %}
+{% block header %}<header class="rx2-header"><div class="rx2-header-inner"><a class="rx2-brand" href="{{ base_url }}/"><img src="{{ base_url }}/assets/images/radixor-logo.png" alt=""><span>RADIXOR</span></a><button class="rx2-menu" type="button" aria-label="Toggle menu" aria-expanded="false">☰</button><nav class="rx2-nav"><a href="{{ base_url }}/benchmarks/">Benchmarks</a><a href="{{ base_url }}/why-radixor-is-different/">Why Radixor</a><a href="{{ base_url }}/python/fast-track/">Python</a><a href="{{ base_url }}/fast-track/">Java</a><a href="{{ base_url }}/stemmer-models/">Models</a><a href="{{ base_url }}/getting-started/">Documentation</a><a href="https://github.com/leogalambos/Radixor">GitHub ↗</a></nav></div></header>{% endblock %}
+{% block tabs %}{% endblock %}
+{% block site_nav %}{% endblock %}
+{% block container %}
+<main class="rx2-page" id="main-content">
+  <section class="rx2-hero">
+    <div class="rx2-shell rx2-hero-top-grid">
+      <div class="rx2-hero-copy">
+        <div class="rx2-kicker"><span></span>Dictionary-trained. Not dictionary-bound.</div>
+        <h1>High-quality multilingual stemming.<br><span>Built for <b>Java</b> and <em>Python</em>.</span></h1>
+        <p>Radixor learns word-to-stem transformations from lexical evidence, compiles them into a reduced trie of patch commands, and applies those commands algorithmically at runtime. The training dictionary supplies evidence&mdash;it does not define a closed runtime vocabulary.</p>
+      </div>
+
+      <div class="rx2-hero-actions" aria-label="Get Radixor and project assurances">
+        <div class="rx2-action-eyebrow">Choose your runtime</div>
+        <div class="rx2-cta-row">
+          <a class="rx2-btn rx2-java" href="{{ base_url }}/quick-start/"><span class="rx2-btn-icon">♨</span>Get Radixor for Java <b>→</b></a>
+          <a class="rx2-btn rx2-python" href="{{ base_url }}/python/fast-track/"><span class="rx2-python-glyph">Py</span>Get Radixor for Python <b>→</b></a>
+        </div>
+        <div class="rx2-assurances">
+          <div><svg viewBox="0 0 32 32" aria-hidden="true"><path d="m7 9 9-5 9 5v14l-9 5-9-5Z" fill="none" stroke="currentColor" stroke-width="2.1"/><path d="m7 9 9 5 9-5M16 14v14" fill="none" stroke="currentColor" stroke-width="2.1"/></svg><span><b>Learned transformations</b><small>Trie + compact patch commands</small></span></div>
+          <div><svg viewBox="0 0 32 32" aria-hidden="true"><path d="M5 24c4-9 9-13 22-16M8 9h7v7" fill="none" stroke="currentColor" stroke-width="2.2" stroke-linecap="round" stroke-linejoin="round"/><path d="M4 27h24" stroke="currentColor" stroke-width="2.2" stroke-linecap="round"/></svg><span><b>Generalizes</b><small>Not restricted to listed word forms</small></span></div>
+          <div><svg viewBox="0 0 32 32" aria-hidden="true"><path d="m16 3 10 4v7c0 8-4 12-10 15C10 26 6 22 6 14V7Z" fill="none" stroke="currentColor" stroke-width="2.1"/><path d="m11 15 3 3 7-7" fill="none" stroke="currentColor" stroke-width="2.1" stroke-linecap="round" stroke-linejoin="round"/></svg><span><b>Reproducible</b><small>Public quality and speed evidence</small></span></div>
+        </div>
+        <div class="rx2-hero-links">
+          <a href="{{ base_url }}/why-radixor-is-different/">Why Radixor is different →</a>
+          <a href="{{ base_url }}/benchmarks/">See the benchmarks →</a>
+          <a href="{{ base_url }}/getting-started/">Choose a documentation path →</a>
+        </div>
+      </div>
+    </div>
+
+    <div class="rx2-shell rx2-highlight-section">
+      <aside class="rx2-highlight-card">
+        <h2>Cross-platform highlights</h2>
+        <div class="rx2-highlight-stats">
+          <div class="rx2-highlight-stat purple"><i><svg viewBox="0 0 32 32" aria-hidden="true"><path d="M10 4h12v6c0 7-3 10-6 10s-6-3-6-10V4Z" fill="none" stroke="currentColor" stroke-width="2.2"/><path d="M10 7H5c0 6 2 9 7 9M22 7h5c0 6-2 9-7 9M16 20v5M11 27h10" fill="none" stroke="currentColor" stroke-width="2.2" stroke-linecap="round"/></svg></i><strong>20 / 20</strong><span>Java benchmark<br>wins</span></div>
+          <div class="rx2-highlight-stat teal"><i><svg viewBox="0 0 32 32" aria-hidden="true"><path d="M10 4h12v6c0 7-3 10-6 10s-6-3-6-10V4Z" fill="none" stroke="currentColor" stroke-width="2.2"/><path d="M10 7H5c0 6 2 9 7 9M22 7h5c0 6-2 9-7 9M16 20v5M11 27h10" fill="none" stroke="currentColor" stroke-width="2.2" stroke-linecap="round"/></svg></i><strong>18 / 18</strong><span>Python wins vs<br>PyStemmer</span></div>
+          <div class="rx2-highlight-stat blue"><i><svg viewBox="0 0 32 32" aria-hidden="true"><path d="M5 23a12 12 0 1 1 22 0" fill="none" stroke="currentColor" stroke-width="2.2" stroke-linecap="round"/><path d="m16 20 6-8" stroke="currentColor" stroke-width="2.2" stroke-linecap="round"/><circle cx="16" cy="20" r="2" fill="currentColor"/></svg></i><strong>1.67×</strong><span>Python geometric-<br>mean speedup</span></div>
+          <div class="rx2-highlight-stat blue"><i><svg viewBox="0 0 32 32" aria-hidden="true"><circle cx="16" cy="16" r="12" fill="none" stroke="currentColor" stroke-width="2"/><path d="M4 16h24M16 4c4 4 5 8 5 12s-1 8-5 12c-4-4-5-8-5-12s1-8 5-12Z" fill="none" stroke="currentColor" stroke-width="2"/></svg></i><strong>20</strong><span>Supported<br>languages</span></div>
+        </div>
+        <div class="rx2-chart-title"><strong>Python native performance</strong> <span>(batch size N=100)</span></div>
+        <div class="rx2-throughput"><b>3.66M – 5.99M</b> <span>words per second</span></div>
+        <div class="rx2-chart-wrap">
+          <div class="rx2-ylabels"><span>6M</span><span>4M</span><span>2M</span><span>0</span></div>
+          <div class="rx2-chart" aria-label="Python throughput by language at batch size 100"><span class="rx2-bar" style="--h:57.1%" role="img" aria-label="Russian: 3.66 million words per second" title="Russian: 3.66M words/s"><img src="{{ base_url }}/assets/images/flags/ru.svg" alt=""></span>
+<span class="rx2-bar" style="--h:66.7%" role="img" aria-label="French: 4.27 million words per second" title="French: 4.27M words/s"><img src="{{ base_url }}/assets/images/flags/fr.svg" alt=""></span>
+<span class="rx2-bar" style="--h:67.7%" role="img" aria-label="German: 4.33 million words per second" title="German: 4.33M words/s"><img src="{{ base_url }}/assets/images/flags/de.svg" alt=""></span>
+<span class="rx2-bar" style="--h:68.3%" role="img" aria-label="Hebrew: 4.37 million words per second" title="Hebrew: 4.37M words/s"><img src="{{ base_url }}/assets/images/flags/he.svg" alt=""></span>
+<span class="rx2-bar" style="--h:68.6%" role="img" aria-label="Finnish: 4.39 million words per second" title="Finnish: 4.39M words/s"><img src="{{ base_url }}/assets/images/flags/fi.svg" alt=""></span>
+<span class="rx2-bar" style="--h:68.7%" role="img" aria-label="Yiddish: 4.39 million words per second" title="Yiddish: 4.39M words/s"><img src="{{ base_url }}/assets/images/flags/yi.svg" alt=""></span>
+<span class="rx2-bar" style="--h:69.7%" role="img" aria-label="Czech: 4.46 million words per second" title="Czech: 4.46M words/s"><img src="{{ base_url }}/assets/images/flags/cs.svg" alt=""></span>
+<span class="rx2-bar" style="--h:70.5%" role="img" aria-label="Ukrainian: 4.51 million words per second" title="Ukrainian: 4.51M words/s"><img src="{{ base_url }}/assets/images/flags/uk.svg" alt=""></span>
+<span class="rx2-bar" style="--h:74.4%" role="img" aria-label="Persian: 4.76 million words per second" title="Persian: 4.76M words/s"><img src="{{ base_url }}/assets/images/flags/fa.svg" alt=""></span>
+<span class="rx2-bar" style="--h:78.8%" role="img" aria-label="Hungarian: 5.04 million words per second" title="Hungarian: 5.04M words/s"><img src="{{ base_url }}/assets/images/flags/hu.svg" alt=""></span>
+<span class="rx2-bar" style="--h:80.3%" role="img" aria-label="Polish: 5.14 million words per second" title="Polish: 5.14M words/s"><img src="{{ base_url }}/assets/images/flags/pl.svg" alt=""></span>
+<span class="rx2-bar" style="--h:82.5%" role="img" aria-label="Swedish: 5.28 million words per second" title="Swedish: 5.28M words/s"><img src="{{ base_url }}/assets/images/flags/sv.svg" alt=""></span>
+<span class="rx2-bar" style="--h:83.5%" role="img" aria-label="Norwegian Bokmål: 5.34 million words per second" title="Norwegian Bokmål: 5.34M words/s"><img src="{{ base_url }}/assets/images/flags/nb.svg" alt=""></span>
+<span class="rx2-bar" style="--h:83.5%" role="img" aria-label="Dutch: 5.35 million words per second" title="Dutch: 5.35M words/s"><img src="{{ base_url }}/assets/images/flags/nl.svg" alt=""></span>
+<span class="rx2-bar" style="--h:84.8%" role="img" aria-label="Spanish: 5.43 million words per second" title="Spanish: 5.43M words/s"><img src="{{ base_url }}/assets/images/flags/es.svg" alt=""></span>
+<span class="rx2-bar" style="--h:86.6%" role="img" aria-label="English: 5.54 million words per second" title="English: 5.54M words/s"><img src="{{ base_url }}/assets/images/flags/en.svg" alt=""></span>
+<span class="rx2-bar" style="--h:87.6%" role="img" aria-label="Danish: 5.61 million words per second" title="Danish: 5.61M words/s"><img src="{{ base_url }}/assets/images/flags/da.svg" alt=""></span>
+<span class="rx2-bar" style="--h:91.5%" role="img" aria-label="Italian: 5.86 million words per second" title="Italian: 5.86M words/s"><img src="{{ base_url }}/assets/images/flags/it.svg" alt=""></span>
+<span class="rx2-bar" style="--h:92.6%" role="img" aria-label="Norwegian Nynorsk: 5.93 million words per second" title="Norwegian Nynorsk: 5.93M words/s"><img src="{{ base_url }}/assets/images/flags/nn.svg" alt=""></span>
+<span class="rx2-bar" style="--h:93.6%" role="img" aria-label="Portuguese: 5.99 million words per second" title="Portuguese: 5.99M words/s"><img src="{{ base_url }}/assets/images/flags/pt.svg" alt=""></span></div>
+        </div>
+        <div class="rx2-chart-range"><span><b>3.66M</b><small>Slowest</small></span><span><b>5.99M</b><small>Fastest</small></span></div>
+        <p class="rx2-note"><b>*</b> The 2026-08-08 Python batch report contains 18 direct PyStemmer 3.1.0 comparisons, all won by Radixor. The 1.67× figure is the geometric mean across those measured rows; the largest measured advantage is 3.03× for Italian. PyStemmer has no direct Hebrew or Ukrainian comparator.</p>
+      </aside>
+    </div>
+  </section>
+
+  <div class="rx2-shell">
+    <section class="rx2-java-banner">
+      <img src="{{ base_url }}/assets/images/java-award.svg" alt="Java benchmark award">
+      <div class="rx2-java-copy"><h2>Java: wins in all 20<br>benchmarked languages</h2><p>In the current same-language Java matrix, Radixor records the lowest measured runtime against every configured comparator on all 20 language pages.</p></div>
+      <div class="rx2-win-box"><strong>20 / 20</strong><span>Benchmark wins</span><small>Across all 20 languages</small></div>
+      <div class="rx2-verify"><b>Reproducible · Transparent · Verifiable</b><p>Every result is public, verifiable, and reproducible.</p><a href="{{ base_url }}/benchmarks/">View all benchmarks →</a></div>
+    </section>
+
+    <h2 class="rx2-case-heading">Quality and speed you can trust — Finnish case study</h2>
+    <section class="rx2-case-table">
+      <div class="rx2-case-head"><span></span><span><img src="{{ base_url }}/assets/images/radixor-logo.png" alt=""> Radixor</span><span class="snow">❄ Snowball Finnish</span><span class="adv"><svg viewBox="0 0 32 32" aria-hidden="true"><circle cx="16" cy="16" r="12" fill="none" stroke="currentColor" stroke-width="2"/><path d="m10 16 4 4 8-9" fill="none" stroke="currentColor" stroke-width="2.2" stroke-linecap="round" stroke-linejoin="round"/></svg> Radixor advantage</span></div>
+      <div class="rx2-case-row"><span><i><svg viewBox="0 0 32 32" aria-hidden="true"><path d="M5 23a12 12 0 1 1 22 0" fill="none" stroke="currentColor" stroke-width="2.2" stroke-linecap="round"/><path d="m16 20 6-8" stroke="currentColor" stroke-width="2.2" stroke-linecap="round"/><circle cx="16" cy="20" r="2" fill="currentColor"/></svg></i><b>Quality score</b><small>(higher is better)</small></span><strong>0.9848</strong><span>~0.740</span><b class="green">+33% <small>higher quality</small></b></div>
+      <div class="rx2-case-row"><span><i class="dots">◌</i><b>Overstemming</b><small>(lower is better)</small></span><strong>3.03%</strong><b class="red">~52%</b><b class="green">94.2% <small>lower</small></b></div>
+      <div class="rx2-case-row"><span><i><svg viewBox="0 0 32 32" aria-hidden="true"><path d="M6 26V16M13 26V11M20 26V6M27 26V3" stroke="currentColor" stroke-width="2.5" stroke-linecap="round"/></svg></i><b>Speed</b><small>(vs. PyStemmer)</small></span><strong>1.14× <small>faster</small></strong><span>1.00× <small>(baseline)</small></span><b class="green">1.14× <small>faster</small></b></div>
+    </section>
+    <p class="rx2-case-note">Quality comparator: published Snowball Finnish Lucene/Snowball results. Speed comparator: PyStemmer 3.1.0 at batch size N=100. The point is the combined quality/performance envelope, not wrapper identity.</p>
+
+    <section class="rx2-languages-strip">
+      <div class="rx2-language-label"><svg viewBox="0 0 32 32" aria-hidden="true"><circle cx="16" cy="16" r="12" fill="none" stroke="currentColor" stroke-width="2"/><path d="M4 16h24M16 4c4 4 5 8 5 12s-1 8-5 12c-4-4-5-8-5-12s1-8 5-12Z" fill="none" stroke="currentColor" stroke-width="2"/></svg><div><strong>20 languages</strong><span>Full Unicode support</span></div></div>
+      <div class="rx2-language-list"><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/czech/" aria-label="Open Czech benchmark"><img src="{{ base_url }}/assets/images/flags/cs.svg" alt="Czech flag"><span>Czech</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/danish/" aria-label="Open Danish benchmark"><img src="{{ base_url }}/assets/images/flags/da.svg" alt="Danish flag"><span>Danish</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/dutch/" aria-label="Open Dutch benchmark"><img src="{{ base_url }}/assets/images/flags/nl.svg" alt="Dutch flag"><span>Dutch</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/english/" aria-label="Open English benchmark"><img src="{{ base_url }}/assets/images/flags/en.svg" alt="English flag"><span>English</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/finnish/" aria-label="Open Finnish benchmark"><img src="{{ base_url }}/assets/images/flags/fi.svg" alt="Finnish flag"><span>Finnish</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/french/" aria-label="Open French benchmark"><img src="{{ base_url }}/assets/images/flags/fr.svg" alt="French flag"><span>French</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/german/" aria-label="Open German benchmark"><img src="{{ base_url }}/assets/images/flags/de.svg" alt="German flag"><span>German</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/hebrew/" aria-label="Open Hebrew benchmark"><img src="{{ base_url }}/assets/images/flags/he.svg" alt="Hebrew flag"><span>Hebrew</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/hungarian/" aria-label="Open Hungarian benchmark"><img src="{{ base_url }}/assets/images/flags/hu.svg" alt="Hungarian flag"><span>Hungarian</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/italian/" aria-label="Open Italian benchmark"><img src="{{ base_url }}/assets/images/flags/it.svg" alt="Italian flag"><span>Italian</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/norwegian-bokmal/" aria-label="Open Norwegian Bokmål benchmark"><img src="{{ base_url }}/assets/images/flags/nb.svg" alt="Norwegian Bokmål flag"><span>Norwegian Bokmål</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/norwegian-nynorsk/" aria-label="Open Norwegian Nynorsk benchmark"><img src="{{ base_url }}/assets/images/flags/nn.svg" alt="Norwegian Nynorsk flag"><span>Norwegian Nynorsk</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/persian/" aria-label="Open Persian benchmark"><img src="{{ base_url }}/assets/images/flags/fa.svg" alt="Persian flag"><span>Persian</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/polish/" aria-label="Open Polish benchmark"><img src="{{ base_url }}/assets/images/flags/pl.svg" alt="Polish flag"><span>Polish</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/portuguese/" aria-label="Open Portuguese benchmark"><img src="{{ base_url }}/assets/images/flags/pt.svg" alt="Portuguese flag"><span>Portuguese</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/russian/" aria-label="Open Russian benchmark"><img src="{{ base_url }}/assets/images/flags/ru.svg" alt="Russian flag"><span>Russian</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/spanish/" aria-label="Open Spanish benchmark"><img src="{{ base_url }}/assets/images/flags/es.svg" alt="Spanish flag"><span>Spanish</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/swedish/" aria-label="Open Swedish benchmark"><img src="{{ base_url }}/assets/images/flags/sv.svg" alt="Swedish flag"><span>Swedish</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/ukrainian/" aria-label="Open Ukrainian benchmark"><img src="{{ base_url }}/assets/images/flags/uk.svg" alt="Ukrainian flag"><span>Ukrainian</span></a><a class="rx2-language" href="{{ base_url }}/benchmarks/languages/yiddish/" aria-label="Open Yiddish benchmark"><img src="{{ base_url }}/assets/images/flags/yi.svg" alt="Yiddish flag"><span>Yiddish</span></a></div>
+    </section>
+
+    <section class="rx2-code-grid">
+      <article class="rx2-code-card"><div class="rx2-code-title"><span class="java-symbol">♨</span><b>Java</b><button type="button" data-copy="java-code">Copy</button></div><pre id="java-code"><code><span class="kw">import</span> org.egothor.stemmer.StemmerPatchTrieLoader;
+<span class="kw">import</span> org.egothor.stemmer.FrequencyTrie;
+
+<span class="type">FrequencyTrie</span>&lt;<span class="type">CompiledPatchCommand</span>&gt; trie =
+    StemmerPatchTrieLoader.loadCompiled(
+        StemmerPatchTrieLoader.Language.US_UK, ...);
+
+<span class="type">String</span> word = <span class="str">"running"</span>;
+<span class="type">CompiledPatchCommand</span> patch = trie.get(word);
+<span class="type">String</span> stem = patch == <span class="kw">null</span> ? word : patch.apply(word);</code></pre><a href="{{ base_url }}/quick-start/">View Java docs →</a></article>
+      <article class="rx2-code-card"><div class="rx2-code-title"><span class="python-symbol">Py</span><b>Python</b><button type="button" data-copy="python-code">Copy</button></div><pre id="python-code"><code><span class="kw">from</span> radixor <span class="kw">import</span> Stemmer
+
+stemmer = Stemmer(<span class="str">"en"</span>)
+stems = stemmer.stem_batch([
+    <span class="str">"running"</span>, <span class="str">"studies"</span>, <span class="str">"better"</span>, <span class="str">"cars"</span>
+    ])</code></pre><a href="{{ base_url }}/python/quick-start/">View Python docs →</a></article>
+    </section>
+
+    <section class="rx2-benefits">
+      <div><svg viewBox="0 0 32 32" aria-hidden="true"><path d="m7 9 9-5 9 5v14l-9 5-9-5Z" fill="none" stroke="currentColor" stroke-width="2"/><path d="m7 9 9 5 9-5M16 14v14" fill="none" stroke="currentColor" stroke-width="2"/></svg><p><b>Learned transformations</b><span>Lexical evidence becomes<br>compact patch commands</span></p></div>
+      <div><svg viewBox="0 0 32 32" aria-hidden="true"><path d="M5 24c4-9 9-13 22-16M8 9h7v7" fill="none" stroke="currentColor" stroke-width="2.2" stroke-linecap="round" stroke-linejoin="round"/><path d="M4 27h24" stroke="currentColor" stroke-width="2.2" stroke-linecap="round"/></svg><p><b>Beyond the dictionary</b><span>Runtime is not a closed<br>word-to-lemma lookup</span></p></div>
+      <div><svg viewBox="0 0 32 32" aria-hidden="true"><path d="M18 2 8 18h8l-2 12 10-17h-8Z" fill="none" stroke="currentColor" stroke-width="2.2" stroke-linejoin="round"/></svg><p><b>Native speed</b><span>Multi-million words per<br>second in Python and Java</span></p></div>
+      <div><svg viewBox="0 0 32 32" aria-hidden="true"><circle cx="16" cy="16" r="12" fill="none" stroke="currentColor" stroke-width="2"/><path d="M4 16h24M16 4c4 4 5 8 5 12s-1 8-5 12c-4-4-5-8-5-12s1-8 5-12Z" fill="none" stroke="currentColor" stroke-width="2"/></svg><p><b>20 language models</b><span>One architecture, trained<br>from language-specific data</span></p></div>
+      <div><svg viewBox="0 0 32 32" aria-hidden="true"><path d="m16 3 10 4v7c0 8-4 12-10 15C10 26 6 22 6 14V7Z" fill="none" stroke="currentColor" stroke-width="2.1"/><path d="m11 15 3 3 7-7" fill="none" stroke="currentColor" stroke-width="2.1" stroke-linecap="round" stroke-linejoin="round"/></svg><p><b>Production ready</b><span>Deterministic behavior<br>and reproducible evidence</span></p></div>
+    </section>
+
+    <section class="rx2-final-card">
+      <img src="{{ base_url }}/assets/images/radixor-logo.png" alt="">
+      <div><h2>A different stemming architecture.</h2><p>Radixor combines learned patch commands, trie-based structural sharing, subtree reduction, and deterministic runtime application. It is neither a flat dictionary lookup nor another fixed suffix-rule table.</p></div>
+      <a class="rx2-gh" href="{{ base_url }}/technology-lineage/">Technology &amp; lineage</a>
+      <a class="rx2-doc" href="{{ base_url }}/getting-started/">▣&nbsp; Read the Docs</a>
+    </section>
+  </div>
+</main>
+{% endblock %}
+{% block footer %}<footer class="rx2-footer"><div class="rx2-shell"><span>© 2026 Egothor · Radixor software is BSD-3-Clause licensed.</span><span><a href="{{ base_url }}/technology-lineage/">Technology</a> · <a href="{{ base_url }}/compatibility-and-guarantees/">Compatibility</a> · <a href="{{ base_url }}/benchmarks/reference/reproducibility/">Reproducibility</a> · <a href="https://github.com/leogalambos/Radixor">GitHub</a></span></div></footer><script src="{{ base_url }}/assets/javascripts/landing-v2.js"></script>{% endblock %}

docs/programmatic-loading-and-building.md

@@ -1,7 +1,10 @@
-# Loading and Building Stemmers
+# Loading and Building Stemmers in Java
 
 This document explains how to acquire a compiled Radixor stemmer in Java.
 
+For Python construction and binary preparation, use [Python Usage and API](python/usage.md)
+and [Compiling Dictionaries in Python](python/model-compilation.md).
+
 ## Load a registered default model
 
 Language-oriented entry points resolve a registered default model and compile its GZip textual dictionary into a `FrequencyTrie<CompiledPatchCommand>`. The corresponding model JAR must be on the runtime classpath; the core contains no dictionary.

docs/programmatic-usage.md

@@ -1,7 +1,12 @@
-# Programmatic Usage
+# Java Programmatic Usage
 
 Radixor code and model data are separate runtime components. Every example on this page requires `org.egothor:radixor:<radixor-version>` as an `implementation` dependency and at least one model JAR as a runtime dependency. The core JAR contains no `stemmer.gz`.
 
+The Python implementation has its own native API. `pip install radixor` also
+installs the separate standard data package containing 20 precompiled models.
+See the [Python Quick Start](python/quick-start.md) and
+[Python Usage and API](python/usage.md).
+
 For complete dependency patterns, lifecycle guidance, and troubleshooting, use [Model Selection and Loading](model-selection-and-loading.md). The generated [model catalog](stemmer-model-catalog.md) records the current artifacts, versions, checksums, and provenance.
 
 ## 1. Minimal use: the Polish default

docs/python/fast-track.md

@@ -0,0 +1,66 @@
+# Python Fast Track
+
+This is the shortest path from an empty Python environment to a working
+Radixor stemmer. The installation includes the native runtime and the separate
+standard-model package with 20 precompiled language models.
+
+## 1. Install
+
+=== "PyPI"
+
+    ```bash
+    python -m pip install --only-binary=:all: radixor
+    ```
+
+=== "GitHub Releases"
+
+    ```bash
+    python -m pip install --only-binary=:all: \
+      --index-url https://leogalambos.github.io/Radixor/python/simple/ radixor
+    ```
+
+PyPI publication is pending, and the GitHub index becomes live with the first
+Python releases. Until then, follow the source-checkout procedure on
+[Installation and Builds](installation.md).
+
+Radixor supports CPython 3.9 and newer. A JVM, Java dependency, and source
+dictionary are not required.
+
+## 2. Stem words
+
+```python
+from radixor import Stemmer
+
+stemmer = Stemmer("en")
+
+print(stemmer.stem("running"))
+print(stemmer.stem_batch(["running", "studies", "cars"]))
+```
+
+Expected first output:
+
+```text
+run
+```
+
+`stem()` and `stem_batch()` preserve Radixor's original API: a word for which
+the trie finds no patch command produces `None`.
+
+## 3. Use PyStemmer-compatible fallback semantics
+
+For a low-friction migration from PyStemmer, use the compatible method names:
+
+```python
+stemmer.stemWord("running")
+stemmer.stemWords(["running", "unknown_word"])
+```
+
+These methods return the original input whenever no patch command is found, so
+their results are always strings rather than `None`.
+
+## Next
+
+- Continue with the [Python Quick Start](quick-start.md) for model selection,
+  batch processing, custom compiled models, and deployment guidance.
+- Use [Python Usage and API](usage.md) as the method reference.
+- Review the reproducible [Python performance results](performance.md).

docs/python/index.md

@@ -0,0 +1,96 @@
+# Radixor for Python
+
+The **`radixor`** package is Radixor's native Python implementation. It is not
+a wrapper around the Java library and does not require a JVM: it is a
+compiled extension (Rust, via [PyO3](https://pyo3.rs/) and
+[maturin](https://www.maturin.rs/)) that loads precompiled patch-command tries
+derived from the same canonical UniMorph data as the Java models.
+
+```python
+from radixor import Stemmer
+
+s = Stemmer("en")
+s.stem("running")               # 'run'
+s.stem_batch(["cats", "ran"])   # ['cat', 'run']
+```
+
+- [Fast Track](fast-track.md) — install and produce the first stem.
+- [Quick Start](quick-start.md) — the complete application-oriented learning path.
+- [Installation and building](installation.md) — Linux, Windows, macOS.
+- [Usage and examples](usage.md) — batch API, caching, and custom models.
+- [Dictionary compilation](model-compilation.md) — prepare a version 7 binary
+  once and share it with Python or Java.
+- [Performance](performance.md) — fair, reproducible comparisons vs PyStemmer,
+  snowballstemmer, NLTK Porter, and CISTEM.
+
+The language and model-ID mapping is shared with Java and maintained on the
+[Built-in Languages](../built-in-languages.md) page. Installing `radixor`
+also resolves the separate pure `radixor-models-standard` distribution containing
+the 20 default compiled models; Java applications select independently
+versioned model JARs.
+
+!!! note "Same models, same results, different runtime"
+    The standard Python models are compiled from the identical canonical
+    dictionaries with the identical production reduction configuration
+    (`MERGE_SUBTREES_WITH_EQUIVALENT_DOMINANT_GET_RESULTS`, 75 % / 3×,
+    uniform-subtree contraction, `LOWERCASE_WITH_LOCALE_ROOT`, `AS_IS`
+    diacritics, `storeOriginal=true`). For a word present in a model, both
+    implementations return the same dominant stem. The compiled **binary format
+    is shared** (see below), so a model compiled by one side loads in the other.
+
+## Java vs. Python: read this first
+
+The two implementations solve the same problem but make different runtime
+trade-offs. Mixing their mental models causes confusion, so the differences are
+stated explicitly. **Neither is “better”** — they target different runtimes.
+
+| Aspect | Java (`org.egothor:radixor`) | Python (`radixor`) |
+|---|---|---|
+| Runtime | JVM library | Compiled extension (Rust/PyO3), no JVM |
+| Distribution | Maven JAR + model JARs | `abi3` wheel (one wheel per OS/arch, Python ≥ 3.9) |
+| Hot-path data structure | `CompiledNode` graph; routines operate on caller-owned **`char[]`** with zero-copy normalized lookups and visitor sinks (`EntrySink`) | Flat **CSR arrays** (no per-node objects); reused UTF‑16 scratch buffers |
+| Result cache | **None** — `get()` is stateless and re-stems every call | **Bounded**, 10,000 entries by default (matching PyStemmer); `Stemmer(cache_size=0)` disables it |
+| Batch API | Not a batch call; you loop and reuse `char[]`/visitors to avoid allocation | **`stem_batch()` / `stem_all_batch()`** — one Python↔Rust crossing amortized over the whole list |
+| Reduction modes | All three modes selectable at compile time | Fixed to the production `DOMINANT` mode |
+| Extending a compiled trie | **Supported** — add words/transformations to an already-compiled trie without recompiling | **Not exposed** — compile from a dictionary (or load a compiled binary) |
+| Model resolution | `ServiceLoader` registry, descriptors, SHA‑256 integrity checks | Separate standard data package; catalog/format/SHA‑256 validation before synchronous native load |
+| Normalization control | Case and diacritic modes fully configurable | `lowercase` toggle; diacritics `AS_IS` (models are built this way) |
+| Binary format | `StemmerPatchTrieBinaryIO` v7 read/write (versioned, fingerprinted) | v7 read/write, **inner stream byte-identical** to Java; **v7 only** (no legacy v1–v6) |
+| Multiple stems | `getAll(...)` | `stem_all()` / `stem_all_batch()` |
+
+### Runtime capabilities that differ
+
+To avoid surprises, these Java capabilities are **not** in the Python package:
+
+- **Extending / incrementally growing a compiled trie.** Python compiles from a
+  source dictionary (or loads a compiled binary); it does not add words to an
+  existing compiled trie at runtime.
+- **Selectable reduction modes.** Only the production `DOMINANT` mode is used.
+- **Pluggable provider discovery.** Python currently resolves one known
+  standard provider directly; entry-point plugins are not yet exposed.
+- **Legacy binary versions.** Only stream version 7 is read/written.
+- **Diacritic-removal modes** beyond `AS_IS` (the bundled models are `AS_IS`).
+
+### Python-specific capabilities
+
+- A **batch API** (`stem_batch`) that amortizes the Python↔native boundary — the
+  single most important call for throughput from Python.
+- A **bounded result cache** (`cache_size=10_000` by default) for workloads with
+  repeated tokens. It is shared by `stem()`, `stemWord()`, `stem_batch()`, and
+  `stemWords()`; pass `cache_size=0` to disable it. The `stem_all*()` methods are
+  not cached.
+- A `lowercase=False` mode to skip per-lookup lowercasing when the caller
+  guarantees already-lowercased input.
+
+## Interoperability
+
+The compiled binary is Radixor's **v7 trie stream**, and the Python runtime writes
+the *inner stream byte-for-byte identically to the Java*
+`StemmerPatchTrieBinaryIO`. Consequently:
+
+- a model compiled by **Java** (`org.egothor.stemmer.Compile` /
+  `StemmerPatchTrieBinaryIO.write`) loads in **Python**, and
+- a model compiled by **Python** (`radixor.compile(...)`) loads in **Java**.
+
+(The outer gzip wrapper bytes differ between the two gzip implementations; this
+is irrelevant — both sides decompress to the same v7 stream.)

docs/python/installation.md

@@ -0,0 +1,215 @@
+# Installing and building (Linux, Windows, macOS)
+
+The Python package ships as an **`abi3` wheel** — a single binary per
+OS/architecture that works on CPython ≥ 3.9 (including 3.14) through the stable
+ABI. Most users just `pip install`; building from source is only needed for
+development or unsupported platforms.
+
+## Install from PyPI
+
+PyPI is the intended primary index once the Radixor projects are approved and
+published there:
+
+```bash
+python -m pip install --only-binary=:all: radixor
+```
+
+PyPI publication is not live yet. Until the `radixor` and
+`radixor-models-standard` project pages exist, this command cannot install the
+project.
+
+## Install compiled packages from GitHub
+
+Python releases are published as immutable GitHub Release assets. A small
+PEP 503 index on GitHub Pages exposes both packages to `pip`:
+
+```bash
+python -m pip install --only-binary=:all: \
+  --index-url https://leogalambos.github.io/Radixor/python/simple/ radixor
+```
+
+The index links directly to checksummed wheel assets in GitHub Releases; Pages
+does not duplicate the package files. It is not live until the first Python
+model and native releases have been published. This was verified before the
+initial release: the URL returned HTTP 404 and the repository contained no
+Python Release assets.
+
+Do not configure the GitHub index as an `--extra-index-url`: `pip` does not
+prioritize one index over another. Use it as the sole `--index-url`, as shown
+above. The binary-only constraint also prevents an accidental source build
+with an unprepared toolchain.
+
+Wheels are provided for Linux (`manylinux`), Windows, and macOS
+(x86‑64 and Apple Silicon). A source distribution is also published; installing
+it triggers a source build, which needs the toolchain described below.
+
+## Install or build from the GitHub source repository
+
+Building requires the **Rust toolchain**, a linker for the target platform, and
+**maturin**. The crate and its dependencies contain no project C/C++ sources,
+but the selected Rust target still needs its normal platform linker and SDK.
+
+```bash
+git clone https://github.com/leogalambos/Radixor
+cd Radixor
+python -m venv python/.venv
+# activate the venv (see per-OS note below)
+pip install maturin build setuptools wheel pytest
+./gradlew pythonBuildStandardModels
+pip install --no-deps build/python/dist/standard/radixor_models_standard-0.0.0-py3-none-any.whl
+cd python
+maturin develop --release        # compile + install into the venv
+pytest -q                        # run the test suite
+```
+
+For a reproducible application build, check out a release tag or exact commit
+instead of a moving branch. Repository descriptors deliberately use the
+non-release placeholder `0.0.0`; release workflows inject the version from the
+Git tag into isolated staging trees. Consequently, source-checkout development
+installs use `--no-deps` for the generated development model wheel, while
+published packages carry normal release versions and dependency resolution
+works automatically.
+
+The native distribution requires
+`radixor-models-standard>=1.0,<2.0`; an installation of `radixor`
+resolves it automatically. The local `--no-deps` command installs the generated
+data wheel for development without contacting a package index.
+
+The installed package source (package index, environment, and `sys.path`) is
+the model-provider trust boundary. Manifest SHA-256 checks detect accidental
+corruption after installation; they do not authenticate a malicious provider.
+
+## Integrity and provenance
+
+Every GitHub Release contains `SHA256SUMS` for its wheel and source archives.
+The release workflows also create GitHub artifact attestations for those
+archives. After downloading a release, maintainers and users can verify it with:
+
+```bash
+sha256sum --check SHA256SUMS
+gh attestation verify radixor-<version>-<wheel-tags>.whl \
+  --repo leogalambos/Radixor
+```
+
+Python packages do **not** reuse the OpenPGP key configured for Java/Maven
+Central publications. Java's `SIGNING_KEY` and `SIGNING_PASSWORD` produce Maven
+signatures; Python currently uses release checksums plus GitHub's
+identity-bound build-provenance attestation. A future PyPI publication should
+use PyPI Trusted Publishing and its supported attestations rather than copying
+the Java signing mechanism.
+
+## Build through Gradle
+
+From the repository root, the supported build entry point creates the native
+wheel/sdist and pure standard-model wheel/sdist:
+
+```bash
+./gradlew pythonBuild
+```
+
+Artifacts are written below `build/python/dist/`; they are not installed into
+the invoking interpreter. `./gradlew pythonVerifyDistributions` also validates
+archive contents, dependency metadata, checksums, v7 headers, and a fresh
+offline wheel-only installation. Platform convenience tasks are also available:
+
+```bash
+./gradlew pythonBuildLinux
+./gradlew pythonBuildWindows
+./gradlew pythonBuildMacos
+```
+
+The task matching the current host delegates to `pythonBuild`. A non-host task
+uses the default Rust target for that operating system and therefore succeeds
+only when its Rust target, linker, and platform SDK are installed. Override a
+default with `pythonLinuxTarget`, `pythonWindowsTarget`, or `pythonMacosTarget`.
+For example:
+
+```bash
+./gradlew pythonBuildWindows -PpythonWindowsTarget=x86_64-pc-windows-gnu
+```
+
+Use `-PpythonExecutable=/path/to/python` or
+`-PmaturinExecutable=/path/to/maturin` when those tools are not on `PATH`.
+These Gradle tasks are the repository integration; direct `maturin` commands
+remain useful while developing inside `python/`.
+
+### Prerequisites per platform
+
+=== "Linux"
+
+    ```bash
+    # Rust (rustup); most distros already ship Python 3.9+
+    curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
+    python3 -m venv .venv && source .venv/bin/activate
+    pip install maturin pytest
+    ```
+    Producing distributable `manylinux` wheels is easiest with
+    `maturin build --release` inside the official maturin/`manylinux` container.
+
+=== "macOS"
+
+    ```bash
+    brew install rustup-init && rustup-init -y      # or: curl https://sh.rustup.rs | sh
+    python3 -m venv .venv && source .venv/bin/activate
+    pip install maturin pytest
+    maturin develop --release
+    ```
+    Both Apple Silicon (`aarch64-apple-darwin`) and Intel
+    (`x86_64-apple-darwin`) are supported; `maturin build --release --target
+    universal2-apple-darwin` produces a universal wheel.
+
+=== "Windows"
+
+    ```powershell
+    winget install -e --id Rustlang.Rustup
+    py -m venv .venv
+    .\.venv\Scripts\Activate.ps1
+    pip install maturin pytest
+    maturin develop --release
+    ```
+    The self-contained GNU toolchain avoids needing Visual Studio Build Tools:
+    ```powershell
+    rustup toolchain install stable-x86_64-pc-windows-gnu
+    rustup default stable-x86_64-pc-windows-gnu
+    ```
+    (The MSVC toolchain also works if you already have the C++ Build Tools.)
+
+### Python 3.14 (and newer than your PyO3 knows about)
+
+Because the extension targets the stable ABI, it links against interpreters
+newer than the PyO3 version was released for. If a build against a very new
+CPython refuses, set the forward-compatibility flag once in the build shell:
+
+=== "Linux / macOS"
+
+    ```bash
+    export PYO3_USE_ABI3_FORWARD_COMPATIBILITY=1
+    maturin develop --release
+    ```
+
+=== "Windows (PowerShell)"
+
+    ```powershell
+    $env:PYO3_USE_ABI3_FORWARD_COMPATIBILITY = "1"
+    maturin develop --release
+    ```
+
+## Verifying the build
+
+```bash
+python -c "from radixor import Stemmer; print(Stemmer('en').stem('running'))"   # -> run
+pytest -q
+```
+
+## Notes and caveats
+
+- **Model packaging.** Neither runtime distribution contains textual
+  dictionaries. `radixor-models-standard` ships 20 compiled gzip v7 resources,
+  the checksum/provenance manifest, and CC BY-SA 3.0 notices; optional
+  `pl-pl-polimorf` is excluded.
+- **Catalog compatibility.** Radixor 4.1 accepts model-distribution major 1
+  (`>=1.0,<2.0`) carrying the independent 2026.1 catalog identity. Missing,
+  incompatible, or corrupt data produces an
+  actionable error before native loading.
+- **Toolchain PATH.** After installing rustup, open a fresh shell (or ensure
+  `~/.cargo/bin` is on `PATH`) so `maturin` can find `cargo`/`rustc`.

docs/python/model-compilation.md

@@ -0,0 +1,105 @@
+# Compiling Dictionaries in Python
+
+The Python package can compile a textual Radixor dictionary into the shared
+version 7 binary trie format. This moves dictionary parsing, patch-command
+generation, trie construction, reduction, and serialization out of application
+startup.
+
+Use this workflow when the application owns its model file. Standard language
+aliases already load validated, precompiled `.rxc` resources from
+`radixor-models-standard`; they do not parse or compile textual dictionaries
+when a `Stemmer` is constructed.
+
+## Source format
+
+The input is a plain UTF-8 or GZip-compressed UTF-8 tab-separated dictionary.
+The first column is the canonical stem and the remaining columns are its known
+surface forms:
+
+```text
+run	running	runs	ran
+cat	cats
+```
+
+Remarks beginning with `#` or `//` are accepted. The complete syntax and
+normalization rules are documented on the shared [Dictionary Format](../dictionary-format.md)
+page.
+
+## Compile a model
+
+```python
+import radixor
+
+radixor.compile(
+    "stemmer.tsv.gz",
+    "english.rxc",
+    language="en",
+)
+```
+
+`language` is used to choose traversal direction when `backward` is omitted.
+Persian (`fa`), Hebrew (`he`), and Yiddish (`yi`) use forward traversal; the
+other bundled languages use backward traversal. For a custom language, select
+the direction explicitly:
+
+```python
+radixor.compile(
+    "custom.tsv",
+    "custom.rxc",
+    backward=True,
+    store_original=True,
+    lowercase=True,
+)
+```
+
+The arguments are:
+
+| Argument | Meaning |
+|---|---|
+| `source` | Plain or GZip-compressed textual dictionary. |
+| `out_path` | Destination for the GZip-compressed version 7 trie. |
+| `language` | Optional alias or model ID used only to infer traversal direction. |
+| `backward` | Explicit traversal direction; overrides inference from `language`. |
+| `store_original` | Include a no-op mapping for every canonical stem. Defaults to `True`. |
+| `lowercase` | Record lowercase lookup normalization in the compiled metadata. Defaults to `True`. |
+
+Compilation refuses an input that is already a compiled trie. The destination
+is written by the native extension; the caller is responsible for choosing its
+location and for replacing an existing file only when that is intended.
+
+## Load the compiled model
+
+```python
+from radixor import Stemmer
+
+stemmer = Stemmer(compiled="english.rxc")
+print(stemmer.stem("running"))
+```
+
+`Stemmer(path=...)` also auto-detects textual dictionaries and compiled version
+7 streams, but `compiled=` communicates the deployment intent more clearly.
+Traversal direction, `store_original`, and lookup normalization are already
+stored in a compiled artifact; constructor build options do not rewrite them.
+
+## Java interoperability
+
+Python and Java share the inner version 7 trie stream. A binary produced by
+`radixor.compile(...)` can be loaded by Java's
+`StemmerPatchTrieLoader.loadBinaryCompiled(...)`, and Python can load a version
+7 artifact written by `StemmerPatchTrieBinaryIO`.
+
+The outer GZip bytes need not be identical because compressor implementations
+may differ. Interoperability applies to the decompressed version 7 stream and
+its persisted metadata.
+
+## Differences from the Java compiler
+
+Python compilation intentionally exposes the production dominant-result
+configuration used by the Python runtime. Java additionally offers three selectable
+reduction modes, more normalization controls, incremental extension, and a CLI
+with explicit overwrite handling. Use [Java CLI Compilation](../cli-compilation.md)
+when those controls are required.
+
+For normal Python use, compile once during preparation, deploy the resulting
+`.rxc` file as an application-owned asset, and reuse one loaded `Stemmer` at
+runtime.

docs/python/performance.md

@@ -0,0 +1,160 @@
+# Performance (Python)
+
+This page reports **runtime stemming throughput** of the Python implementation against
+common Python stemmers, and — crucially — documents exactly how the comparison
+is made fair. The scripts are in the repository (`python/benchmarks/`); anyone
+can reproduce the numbers.
+
+!!! info "Published single-machine measurement"
+    These results were regenerated on 2026-08-08 on the current benchmark
+    workstation: Fedora Linux 44 (`7.1.6-201.fc44.x86_64`), AMD Ryzen 5 5625U
+    (6 cores / 12 threads), CPython 3.14.6, Rust 1.97.1, and a release wheel.
+    All logical CPUs used the `schedutil` governor. Absolute timings remain
+    machine-specific; compare ratios only within this run.
+
+## What is measured
+
+- **Runtime stemming only.** Model construction / dictionary compilation happens
+  once in setup and is excluded from every timing.
+- **Workload = the Java JMH corpus.** The *changed-token* corpus derived from
+  the bundled UniMorph gold-standard dictionaries: every dictionary field paired
+  with its line's root, normalized `trim().lower()`, keeping only tokens that
+  differ from their root (the forms a stemmer must actually rewrite), padded to
+  ≥ 5 000 tokens. This is identical to the Java `LanguageBenchmarkCorpus`.
+- **Batch sizes 10/20/50/100** are swept and a line is fit to `per_call(N) =
+  intercept + N · slope` as a descriptive scaling summary. This is an
+  unconstrained OLS fit, so noise may produce a negative intercept; it is not a
+  physical decomposition of runtime. The *best* of many repeats is reported.
+
+## Fairness: making the comparison apples-to-apples
+
+Three asymmetries silently distort stemmer comparisons. Each is neutralized, and
+where it **cannot** be neutralized the effect is described.
+
+1. **Result caching — neutralized.** PyStemmer caches results by default
+   (`maxCacheSize=10000`). Since a benchmark stems the same corpus repeatedly,
+   that cache would turn measured passes into dictionary lookups rather than
+   stemming. The harness explicitly disables **both** PyStemmer's cache
+   (`maxCacheSize=0`) and radixor's default cache (`cache_size=0`). The other
+   engines have no cache.
+2. **Lowercasing — neutralized.** Snowball (PyStemmer, snowballstemmer) and
+   CISTEM differ in whether they case-fold. Snowball does **no** case handling;
+   it assumes pre-lowercased input. The corpus is pre-lowercased for every
+   engine, and radixor is therefore run with **`lowercase=False`** so it does
+   the same work. On already-lowercased input radixor returns identical results
+   either way. **Exception — CISTEM:** it always performs its own lowercasing
+   and German umlaut normalization internally and cannot be told to skip it, so
+   CISTEM does *slightly more* normalization work than the others. This
+   unavoidable extra work biases the comparison modestly **in radixor's
+   favour**, not CISTEM's.
+3. **Hidden delegation — neutralized.** `snowballstemmer` delegates to PyStemmer
+   when PyStemmer is installed (they become the same C code). The harness
+   bypasses that and uses snowballstemmer's genuine pure-Python backend, and
+   records each engine's backing module + whether it is a compiled extension so
+   the provenance is verifiable.
+
+## Environment and parameters
+
+| Item | Published value |
+|---|---|
+| CPU | AMD Ryzen 5 5625U with Radeon Graphics |
+| CPU topology | 6 physical cores / 12 logical CPUs |
+| OS | Fedora Linux 44, kernel `7.1.6-201.fc44.x86_64` |
+| CPU governor | `schedutil` on all 12 logical CPUs; boost enabled |
+| Python | CPython 3.14.6 |
+| Radixor | 4.1.0, release-mode ABI3 wheel, cache disabled |
+| PyStemmer | 3.1.0 (`libstemmer_c` 3.1.0), cache disabled |
+| snowballstemmer | 3.1.1, forced pure-Python backend |
+| NLTK | 3.10.2 |
+| Workload | 5,000 changed tokens per language and measurement |
+| Batch sizes | 10, 20, 50, 100 |
+| Timing | best of 15 measured passes after 3 warm-up passes |
+
+The authoritative command was:
+
+```bash
+./gradlew pythonBenchmarkAllLanguagesBatch --rerun-tasks
+```
+
+It completed successfully in 3 minutes 33 seconds and emitted
+the full per-size CSV and JSON reports under
+`build/reports/python-benchmarks/`.
+
+## Results — batch size 100, cache disabled
+
+The table reports nanoseconds per word at `N=100` (lower is better). A dash
+means that the engine has no implementation for that language. Every available
+competitor was measured in the same process, with the same corpus and batch
+partitioning.
+
+| Language | Radixor | PyStemmer (Snowball C) | CISTEM (pure Py) | snowballstemmer (pure Py) | NLTK Porter (pure Py) |
+|---|---:|---:|---:|---:|---:|
+| Czech (`cs`) | **224.3** | 236.6 | — | 4,835.2 | — |
+| Danish (`da`) | **178.3** | 267.6 | — | 8,568.9 | — |
+| German (`de`) | **230.9** | 635.5 | 3,341.9 | 33,654.1 | — |
+| English (`en`) | **180.5** | 331.9 | — | 20,195.0 | 7,740.3 |
+| Spanish (`es`) | **184.2** | 316.6 | — | 19,640.1 | — |
+| Persian (`fa`) | **210.1** | 497.1 | — | 32,732.3 | — |
+| Finnish (`fi`) | **227.8** | 258.8 | — | 12,339.5 | — |
+| French (`fr`) | **234.2** | 503.7 | — | 36,161.9 | — |
+| Hebrew (`he`) | **228.6** | — | — | — | — |
+| Hungarian (`hu`) | **198.2** | 264.7 | — | 13,694.3 | — |
+| Italian (`it`) | **170.8** | 517.0 | — | 34,504.6 | — |
+| Norwegian Bokmål (`nb`) | **187.1** | 239.7 | — | 7,457.6 | — |
+| Dutch (`nl`) | **187.1** | 354.8 | — | 18,148.2 | — |
+| Norwegian Nynorsk (`nn`) | **168.7** | 231.2 | — | 7,489.4 | — |
+| Polish (`pl`) | **194.6** | 214.5 | — | 5,282.9 | — |
+| Portuguese (`pt`) | **166.9** | 293.2 | — | 21,157.2 | — |
+| Russian (`ru`) | **273.4** | 414.4 | — | 15,703.8 | — |
+| Swedish (`sv`) | **189.3** | 212.5 | — | 5,351.4 | — |
+| Ukrainian (`uk`) | **221.5** | — | — | — | — |
+| Yiddish (`yi`) | **227.5** | 624.2 | — | 33,251.6 | — |
+
+Radixor won all **18 / 18** direct PyStemmer comparisons. At `N=100`, its
+geometric-mean speedup was **1.67×**; the largest direct advantage was **3.03×**
+for Italian. Across all 20 Radixor languages, throughput ranged from **3.66 to
+5.99 million words/s**.
+
+### CISTEM comparison for German
+
+The German row also provides a direct comparison with CISTEM:
+
+| Engine | Implementation | N=100 | vs radixor |
+|---|---|---|---|
+| **radixor** | Rust trie | **230.9 ns/word** | — |
+| PyStemmer (de) | Snowball C | 635.5 ns/word | 2.75× slower |
+| **CISTEM** | pure Python (`nltk`) | **3,341.9 ns/word** | **14.47× slower** |
+
+CISTEM has no batch entry point (it is a per-word Python loop), so its per-word
+cost is flat across batch sizes and batching cannot amortize it. It is a compact
+~40-rule German heuristic with no dictionary — a different design point that
+trades coverage for simplicity. Because CISTEM's unavoidable normalization work
+modestly biases the measurement in radixor's favour (point 2 above), the 14.47×
+result is not a perfectly normalization-matched ratio.
+
+The all-language Gradle task does not measure stage-level profiling or cached
+lookup performance. This page therefore does not mix such figures from an older
+workstation into the published run.
+
+## A note on comparability of *quality*
+
+These are **speed** comparisons. Radixor is a **lexicon-trained transformation
+stemmer**: it learns patch commands from UniMorph-grounded word–stem evidence
+and can generalize those transformations beyond exact training entries.
+Snowball, Porter, and CISTEM use hand-written rule systems. They produce
+different stems and are not directly comparable on output; see the shared
+[linguistic quality
+methodology](../benchmarks/reference/linguistic-quality.md) for how stemming
+quality is assessed separately from throughput.
+
+## Reproduce
+
+```bash
+pip install -r python/benchmarks/requirements-bench.txt
+./gradlew pythonBenchmarkAllLanguagesBatch --rerun-tasks
+```
+
+The run prints the machine/Python/engine versions and each engine's backing
+module (provenance), and writes per-point rows (CSV) plus the full report
+including environment (JSON). Methodology and fairness notes live in
+`python/benchmarks/README.md`.

docs/python/quick-start.md

@@ -0,0 +1,130 @@
+# Python Quick Start
+
+Radixor's Python implementation is a native Rust extension with a Python API.
+It uses the same learned patch-command model and version 7 compiled-trie format
+as the Java implementation, without requiring a JVM.
+
+## 1. Install the runtime and standard models
+
+Create an isolated environment and install Radixor:
+
+```bash
+python -m venv .venv
+source .venv/bin/activate       # Windows: .venv\Scripts\activate
+```
+
+=== "PyPI"
+
+    ```bash
+    python -m pip install --only-binary=:all: radixor
+    ```
+
+=== "GitHub Releases"
+
+    ```bash
+    python -m pip install --only-binary=:all: \
+      --index-url https://leogalambos.github.io/Radixor/python/simple/ radixor
+    ```
+
+PyPI publication is pending. The GitHub option becomes live when the first
+Python GitHub Releases populate the Pages-backed package index. See
+[Installation and Builds](installation.md) for availability and source builds.
+
+The `radixor` wheel contains code. Its required
+`radixor-models-standard` dependency contains 20 precompiled models. The
+standard package excludes textual source dictionaries and optional PoliMorf
+data, which keeps startup on the direct compiled-model path.
+
+## 2. Select and reuse a stemmer
+
+Construct a stemmer once and retain it for the lifetime of the application:
+
+```python
+from radixor import Stemmer
+
+english = Stemmer("en")
+polish = Stemmer("pl")
+
+print(english.stem("running"))  # 'run'
+print(polish.stem("koty"))
+```
+
+Short aliases such as `en`, `de`, and `pl` resolve to the documented default
+model IDs. A full ID such as `us-uk-default` selects the same model explicitly.
+The complete mapping is listed under [Built-in Languages](../built-in-languages.md).
+
+## 3. Prefer batch calls for collections
+
+Crossing the Python/native boundary once per collection is substantially more
+efficient than a Python loop of scalar calls:
+
+```python
+words = ["running", "studies", "better", "cars"]
+stems = english.stem_batch(words)
+```
+
+`stem_batch()` preserves input order and returns one item per word. Entries can
+be `None` when the trie has no applicable patch command.
+
+Repeated natural-language tokens use a bounded result cache shared by the
+scalar and batch APIs. Its default capacity is 10,000 entries, matching
+PyStemmer; choose another bound or pass `0` to disable it:
+
+```python
+english = Stemmer("en", cache_size=10_000)
+uncached = Stemmer("en", cache_size=0)
+```
+
+The cache covers `stem()`, `stemWord()`, `stem_batch()`, and `stemWords()`;
+the `stem_all*()` methods are not cached.
+
+## 4. Migrate from PyStemmer
+
+Radixor exposes PyStemmer's familiar scalar and batch method names:
+
+```python
+stemmer = Stemmer("en")
+
+stemmer.stemWord("running")
+stemmer.stemWords(["running", "unknown_word"])
+```
+
+`stemWord()` and `stemWords()` return unmatched input unchanged. This removes
+the `None` fallback checks required by Radixor's original `stem()` and
+`stem_batch()` methods, so most migration work is limited to the package import
+and dependency change.
+
+## 5. Load a custom compiled model
+
+The standard installation covers the maintained default catalog. A custom
+version 7 model can be loaded directly:
+
+```python
+custom = Stemmer(compiled="models/domain-english.rxc")
+```
+
+To compile a maintained textual dictionary during a preparation step:
+
+```python
+from radixor import compile
+
+compile("dictionaries/domain.tsv.gz", "models/domain-english.rxc", language="en")
+```
+
+Deploy the resulting `.rxc` file and load it at application startup. See
+[Dictionary Compilation](model-compilation.md) for format interoperability and
+the production compilation profile.
+
+## 6. Production checklist
+
+- Pin compatible `radixor` and `radixor-models-standard` releases in the
+  application's dependency lock.
+- Construct and reuse stemmers instead of rebuilding them per request.
+- Use batch calls for token collections.
+- Choose `stem*` or `stemWord*` semantics deliberately for unmatched words.
+- Treat custom dictionaries and compiled models as trusted application input.
+- Regression-test representative vocabulary before changing model versions.
+
+Continue with [Installation and Builds](installation.md) for wheel/platform
+details, [Usage and API](usage.md) for the complete call surface, or
+[Performance](performance.md) for benchmark methodology and results.

docs/python/usage.md

@@ -0,0 +1,173 @@
+# Usage and examples
+
+## Creating a stemmer
+
+```python
+from radixor import Stemmer
+
+s = Stemmer("en")                      # by language code (bundled model)
+s = Stemmer("us-uk-default")           # by full model ID
+s = Stemmer(path="my_dictionary.gz")   # a custom gzipped TSV source dictionary
+s = Stemmer(compiled="en.rxc")         # a pre-compiled binary (instant load)
+```
+
+The traversal direction is derived from the language (right-to-left `fa`/`he`/`yi`
+use FORWARD, all others BACKWARD); override with `backward=True|False` for a
+custom `path=`.
+
+## Stemming a single word
+
+```python
+s.stem("running")     # 'run'
+s.stem("cats")        # 'cat'
+s.stem("zzzzz")       # None  -> not reducible / unknown
+```
+
+`stem()` returns the single **dominant** stem, or `None`.
+
+!!! info "Why a known word may return itself"
+    A surface form that is *also* a canonical headword (e.g. an English word
+    that is both its own lemma and an inflection of another lemma) returns
+    itself, because the dominant sense is “this word is its own stem”. The
+    inflectional reading is still available via `stem_all()`.
+
+## Batch stemming — the fast path
+
+For anything beyond a handful of words, use the batch API. It crosses the
+Python↔native boundary **once** for the whole list, which is the dominant cost
+when stemming from Python.
+
+```python
+words = ["running", "cats", "stemming", "quickly"]
+s.stem_batch(words)          # ['run', 'cat', 'stem', 'quick'] (None for unknowns)
+```
+
+```python
+# Multiple candidate stems per word (ambiguity preserved):
+s.stem_all("running")               # e.g. ['run', 'runn']
+s.stem_all_batch(["running", "cats"])
+```
+
+## PyStemmer-compatible methods
+
+Radixor also exposes PyStemmer's scalar and batch method names. They differ
+from the native Radixor methods only when the trie cannot find a patch command:
+
+| Method | Recognized word | Word without a patch command | Return type |
+| --- | --- | --- | --- |
+| `stem(word)` | dominant stem | `None` | `str | None` |
+| `stem_batch(words)` | dominant stem at the same position | `None` at the same position | `list[str | None]` |
+| `stemWord(word)` | dominant stem | original input word | `str` |
+| `stemWords(words)` | dominant stem at the same position | original input word at the same position | `list[str]` |
+
+Use `stemWord()` and `stemWords()` when migrating code that expects
+PyStemmer's no-`None` contract:
+
+```python
+import radixor as Stemmer
+
+# The rest of this common PyStemmer call pattern remains unchanged.
+s = Stemmer.Stemmer("english")
+
+s.stemWord("running")                  # 'run'
+s.stemWord("unknown_word")             # 'unknown_word'
+s.stemWords(["running", "unknown_word"])
+# ['run', 'unknown_word']
+```
+
+`stemWords()` retains input order and makes one Python-to-Rust call for the
+whole list. PyStemmer's full language names, such as `"english"` and
+`"czech"`, are accepted for bundled Radixor languages alongside two-letter
+codes and full model IDs.
+
+The compatibility contract covers these method names, full language aliases,
+and unmatched-word fallback behavior. Radixor configuration keywords remain
+Radixor-specific: use `cache_size`, not PyStemmer's `maxCacheSize`. Both
+libraries default to a cache capacity of 10,000 entries.
+
+## Bounded result cache
+
+Real text repeats tokens. The default bounded cache returns the already-built
+result object on a recognized-word hit (a reference-count bump — no
+re-stemming, no new result string). Unknown words are cached as misses, so
+`stemWord()` and `stemWords()` still create their required original-word
+result. Its default capacity is **10,000 entries**, matching PyStemmer:
+
+```python
+s = Stemmer("en")                       # cache up to 10,000 distinct input words
+s = Stemmer("en", cache_size=50_000)    # choose a custom capacity
+s = Stemmer("en", cache_size=0)         # explicitly disable caching
+```
+
+One cache is shared by `stem()`, `stemWord()`, `stem_batch()`, and
+`stemWords()`. The `stem_all()` and `stem_all_batch()` methods are not cached.
+Caching never changes results; it only avoids recomputation. Entries are
+inserted until the configured capacity is reached; there is no eviction. For a
+high-cardinality stream without useful token repetition, use `cache_size=0`.
+
+## Skipping lowercasing for pre-normalized input
+
+By default lookups lowercase the input (`LOWERCASE_WITH_LOCALE_ROOT`). If your
+pipeline already lowercases tokens, skip the redundant work:
+
+```python
+s = Stemmer("en", lowercase=False)     # assume already-lowercased input
+s.stem("running")                      # 'run'
+s.stem("Running")                      # None  -> not lowercased, so no match
+```
+
+The model's keys are always lowercase; `lowercase=False` only turns off
+per-lookup normalization. On already-lowercased input the results are identical.
+
+## Compile once, load instantly
+
+Compiling a trie from text costs a few seconds for large languages. Compile it
+once to Radixor's binary format and load it directly afterwards:
+
+```python
+import radixor
+
+radixor.compile("stemmer.gz", "en.rxc", language="en")
+s = radixor.Stemmer(compiled="en.rxc")
+```
+
+See [Compiling Dictionaries in Python](model-compilation.md) for the source
+format, traversal and normalization options, deployment guidance, Java
+interoperability, and the controls that remain Java-only.
+
+## Using a custom dictionary
+
+A source dictionary is a gzipped (or plain) TSV file, one entry per line, the
+first column the canonical stem and the rest its variants; `#` and `//` start
+line remarks:
+
+```
+run	running	runs	ran
+cat	cats
+```
+
+```python
+s = Stemmer(path="custom.gz", backward=True, store_original=True)
+```
+
+`store_original=True` (default) maps each stem to itself (a no-op patch) so the
+stem is recognised. See [Dictionary Format](../dictionary-format.md) for the
+authoritative specification shared with the Java project.
+
+## Thread-safety
+
+A `Stemmer` is safe to share across threads. The bounded cache is guarded
+internally; the compiled trie is immutable after construction.
+
+## API summary
+
+| Call | Returns | Notes |
+|---|---|---|
+| `Stemmer(lang \| path= \| compiled=, *, backward, store_original, lowercase, cache_size=10_000)` | stemmer | auto-detects compiled vs textual for `path=`; `cache_size=0` disables caching |
+| `stem(word)` | `str \| None` | dominant stem |
+| `stem_batch(words)` | `list[str \| None]` | **preferred** for many words |
+| `stemWord(word)` | `str` | PyStemmer-compatible; returns an unmatched word unchanged |
+| `stemWords(words)` | `list[str]` | PyStemmer-compatible batch call; preserves unmatched words and input order |
+| `stem_all(word)` | `list[str]` | all candidate stems, best first |
+| `stem_all_batch(words)` | `list[list[str]]` | |
+| `radixor.compile(source, out, *, language, backward, store_original, lowercase)` | `None` | writes a v7 binary |

docs/quick-start.md

@@ -1,6 +1,9 @@
-# Quick Start
+# Java Quick Start
 
-This guide introduces the fastest practical path to using **Radixor**.
+This guide introduces the fastest practical path to using **Radixor in Java**.
+Python users have an equivalent application-oriented path in the
+[Python Quick Start](python/quick-start.md), followed by the
+[Python Usage and API guide](python/usage.md).
 
 If you are new to Radixor and want the shortest possible path to a first working stem, start with
 [Fast Track](fast-track.md). This Quick Start is a broader developer walkthrough: it introduces the

docs/stemmer-model-catalog.md

@@ -0,0 +1,25 @@
+# Published Stemmer Model Catalog
+
+| Model ID | Language | Default | Coordinates | Version | Source | Repository | Source version | Revision | Revision status | License | Attribution | SHA-256 | Bytes |
+|---|---|---:|---|---:|---|---|---|---|---|---|---|---|---:|
+| cs-cz-default | CS_CZ | true | org.egothor:radixor-model-cs-cz-default | 1.0.0 | UniMorph | https://github.com/unimorph/ces | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph; Witold Kieraś is credited for the separate MorfFlex-CZ conversion | 62afdaa6dc7a721b54a0dc278a0c648a63ad52a34a412d27b5b52fbcde9c1ce4 | 142365 |
+| da-dk-default | DA_DK | true | org.egothor:radixor-model-da-dk-default | 1.0.0 | UniMorph | https://github.com/unimorph/dan | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph and Wikipedia contributors | 3f7b670a0e7b872bda0381f5154ce058a4656297b39b7157b4ccf6560257cb90 | 73030 |
+| de-de-default | DE_DE | true | org.egothor:radixor-model-de-de-default | 1.0.0 | UniMorph | https://github.com/unimorph/deu | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph and English Wiktionary contributors | cbfa038122823f02e4bdb54b0035492c356b6ecd80f11eb11290d7a7248a59f5 | 838450 |
+| es-es-default | ES_ES | true | org.egothor:radixor-model-es-es-default | 1.0.0 | UniMorph | https://github.com/unimorph/spa | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph and English Wiktionary contributors | 7a1ec94cfdb1e9a95431289d62dc5579cb2a532d99532eeda90290072e569721 | 2269280 |
+| fa-ir-default | FA_IR | true | org.egothor:radixor-model-fa-ir-default | 1.0.0 | UniMorph | https://github.com/unimorph/fas | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph and Wikipedia contributors | b29a0d168a6a97f980666aa40b74a0edd8b6be4ab3320a7abfbb76b3529f4ea1 | 8934 |
+| fi-fi-default | FI_FI | true | org.egothor:radixor-model-fi-fi-default | 1.0.0 | UniMorph | https://github.com/unimorph/fin | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph and Wikipedia contributors | ca2628b3db31fee92f1b612ebbbd5e956a6dbbfb10e721325e55ef528f26072f | 4867450 |
+| fr-fr-default | FR_FR | true | org.egothor:radixor-model-fr-fr-default | 1.0.0 | UniMorph | https://github.com/unimorph/fra | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph and Wikipedia contributors | a988658758952fd599dc7360e0234178a6d65ac46e5cedc7dcd325a7cb7e71d9 | 1117956 |
+| he-il-default | HE_IL | true | org.egothor:radixor-model-he-il-default | 1.0.0 | UniMorph | https://github.com/unimorph/heb | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph; Omer Goldman (annotator); Wiktionary contributors | 9a47dc69bb7dab21aba0266b73cd74cdaeb17db94363796a0a56111ac8518256 | 179776 |
+| hu-hu-default | HU_HU | true | org.egothor:radixor-model-hu-hu-default | 1.0.0 | UniMorph | https://github.com/unimorph/hun | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph; Christo Kirov, Ryan Cotterell, and Khuyagbaatar Batsuren (conversion); Judit Ács and Gábor Bella (validation); English Wiktionary contributors | 359d46a01d751ec823705ad7f3dd1cc8f6663feb1a9d13cb04d0c6fb51ab646e | 2346297 |
+| it-it-default | IT_IT | true | org.egothor:radixor-model-it-it-default | 1.0.0 | UniMorph | https://github.com/unimorph/ita | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph and Wikipedia contributors | 5e03be31c9761e30dbf24a47a5ced3d6ec949dabd31e92632fdd9f7c67fc2e12 | 841105 |
+| nb-no-default | NB_NO | true | org.egothor:radixor-model-nb-no-default | 1.0.0 | UniMorph | https://github.com/unimorph/nob | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph and Wikipedia contributors | f495bffb44e79d27993e6e2e65d4b1204b29365dc93f481b2d8b96766fc90fd9 | 205645 |
+| nl-nl-default | NL_NL | true | org.egothor:radixor-model-nl-nl-default | 1.0.0 | UniMorph | https://github.com/unimorph/nld | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph and Wikipedia contributors | c098034adc42da2ca3e419160e6dd2c2b3868f8af334303b3a191e09caadaf5e | 70600 |
+| nn-no-default | NN_NO | true | org.egothor:radixor-model-nn-no-default | 1.0.0 | UniMorph | https://github.com/unimorph/nno | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph and Wikipedia contributors | 900cf2005605aea2a3d8d731ec0b0c1f47fb4469b4ba6b9134145d4d026a0398 | 51244 |
+| pl-pl-polimorf | PL_PL | false | org.egothor:radixor-model-pl-pl-polimorf | 1.0.0 | PoliMorf 2.1 | https://github.com/morfologik/morfologik-stemming | 2.1 | 6e63b53 | recorded | BSD-2-Clause | Copyright (c) 2016, Marcin Miłkowski | 4fe4bf5e6c22c1beea5b3d57f1ce4c9ea5aac1ed8ab24c616fb06df745e40d15 | 12624997 |
+| pl-pl-unimorph | PL_PL | true | org.egothor:radixor-model-pl-pl-unimorph | 1.0.0 | UniMorph | https://github.com/unimorph/pol | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph; SGJP authors Marcin Woliński, Zygmunt Saloni, Robert Wołosz, Włodzimierz Gruszczyński, Danuta Skowrońska, and Zbigniew Bronk; Witold Kieraś (conversion); Wiktionary contributors | 8191ed727097839cc808cbc5c56a1bd78b3c851e7733ad226ad9a51519a54721 | 334951 |
+| pt-pt-default | PT_PT | true | org.egothor:radixor-model-pt-pt-default | 1.0.0 | UniMorph | https://github.com/unimorph/por | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph and Wikipedia contributors | 7a035ff330a6f0548f446cd0d6617bc1cf4751292125a3564d3a255c5d6f516d | 509965 |
+| ru-ru-default | RU_RU | true | org.egothor:radixor-model-ru-ru-default | 1.0.0 | UniMorph | https://github.com/unimorph/rus | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph and Wikipedia contributors | df7ea25e63a875eeec7a4185be685bd5372a3c568db85c34c44fdf5d8d980a40 | 2414507 |
+| sv-se-default | SV_SE | true | org.egothor:radixor-model-sv-se-default | 1.0.0 | UniMorph | https://github.com/unimorph/swe | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph and English Wiktionary contributors | d9be72e3d67c776622c4281e04e4063b9381e8f84a823d98ebf08888b82dff0c | 256300 |
+| uk-ua-default | UK_UA | true | org.egothor:radixor-model-uk-ua-default | 1.0.0 | UniMorph | https://github.com/unimorph/ukr | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph; Witold Kieraś and Maria Shvedova are credited for the separate VESUM conversion; Wiktionary contributors | cf3f612cfff16cb7763f99c55851069489b883c3bdd1a6576cd8c57a97e07eae | 47300 |
+| us-uk-default | US_UK | true | org.egothor:radixor-model-us-uk-default | 1.0.0 | UniMorph | https://github.com/unimorph/eng | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph and Wikipedia contributors | 8c79122993499e437ea8b54b620832dca29019298f281c1f3132f4d1be885460 | 2713666 |
+| yi-default | YI | true | org.egothor:radixor-model-yi-default | 1.0.0 | UniMorph | https://github.com/unimorph/yid | not-recorded-in-legacy-import | not-recorded-in-legacy-import | not-recorded-in-legacy-import | CC-BY-SA-3.0 | UniMorph | f47de665c27dcd72833a82904e49c68a945bb5aca769a7ec5a0164e2c981a6d3 | 12222 |

docs/stemmer-models.md

@@ -189,4 +189,8 @@ Local validation for PoliMorf 1.0.0 is:
 
 ## Documentation and troubleshooting
 
-`prepareMkDocsSource` generates the catalog only at `build/mkdocs-source/stemmer-model-catalog.md`; generated Markdown and rendered site content are not tracked. For runtime failures, dependency inspection, ClassLoader isolation, and fat-JAR guidance, see [Model Selection and Loading](model-selection-and-loading.md#troubleshooting).
+`publishModelCatalogDocumentation` updates the checked-in catalog used by a direct local `mkdocs serve`.
+`prepareMkDocsSource` independently regenerates the same catalog under `build/mkdocs-source/` for the
+publication workflow, and `verifyModelCatalogDocumentation` fails when the two copies differ. Rendered
+site content remains untracked. For runtime failures, dependency inspection, ClassLoader isolation, and
+fat-JAR guidance, see [Model Selection and Loading](model-selection-and-loading.md#troubleshooting).