Add runtime provenance to benchmark metadata#7
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MaxGhenis
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Jul 7, 2026
Adds deepseek-v4-pro (#7, 87.8 exact), minimax-m3 (#12, 86.4), qwen-3.7-max (#15, 85.4), glm-5.2 (#19, 82.4), and kimi-k2.6 (#20, 74.6) to the live dashboard as dashboard-data-20260707. Same dataset version: every incumbent's modelStats entry and all 29,760 incumbent scenarioPrediction leaves are byte-identical to dashboard-data-20260705, and globalWeights are unchanged — versions change only when existing numbers change. Codex failure-audit annotations for the five models are merged into annotations/ (issue #107 tracks 14 reference-suspect cases). Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
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Summary
Fixes #6
Validation
uv run --extra dev pytest -q(189 passed)uv run --extra dev ruff check policybench/provenance.py policybench/eval_no_tools.py policybench/cli.py tests/test_eval_no_tools.py tests/test_provenance.pyuv run --extra dev ruff format --check policybench/provenance.py policybench/eval_no_tools.py policybench/cli.py tests/test_eval_no_tools.py tests/test_provenance.pygit diff --check