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docs(benchmark): cross-task five-arm causal attribution & replan overhead study - #7959
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…head study Add EdgeBench Sol 6.1-xhigh cross-task five-arm causal attribution analysis, reproducible data archive, and verification test suite: - Profile matrix across Official, Native-Goal, Explore Off/On, and Stride - Causal inflection points vs score slopes in Graph, Ad, and Portfolio - Replan token waste quantification and theoretical component ceilings - Comprehensive bilingual technical report and cryptographic index bindings Signed-off-by: LoopX Agent <337587101+loopx-agent@users.noreply.github.com>
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Summary
Cross-task five-arm empirical causal attribution and trajectory efficiency analysis on EdgeBench Sol 6.1-xhigh across Portfolio Risk Calibration, Graph Clustering Calibration, and Ad Layout Cut Optimization.
Key Evidence & Contributions
evidence_conditioned_v1) on Sol 6.1-xhigh.benchmark/edgebench/causal_attribution.pywith deterministic verification and comprehensive pytest coverage (benchmark/tests/test_causal_attribution.py).Verification
uv run --extra test python -m pytest benchmark/tests/test_causal_attribution.py uv run python -m benchmark.edgebench.causal_attribution --verify benchmark/edgebench/studies/cross-task-causal-attribution-20261103/data