Add frontend, more granulare cachine#47
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Added execution provenance utilities in execution.py:deterministic config/stage hashing config.executed.yaml execution_manifest.json cache preview/invalidation valid-cache copy-forward support Updated pipeline execution in pipeline.py:writes manifests at start/end/failure embeds stage cache signatures in output files invalidates stale stage artifacts under cache_policy=auto Added CLI flags:--cache-policy auto|ignore|trust-legacy --clear-cache abstract|fulltext|parsing|annotation|... --copy-valid-cache-from PATH Added per-study screening cache signatures in screener.py. Tightened PubMed cache reuse so cached search results only return PMIDs from the current search/list. Prevented stale annotation decisions from leaking forward by filtering cached annotation results to the current eligibility graph. Added UI/backend run options:default UI behavior branches to a new execution folder when spec signatures changed valid cache is copied forward from the previous output advanced cache controls in the Runs tab Added tests in test_execution.py.
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The UI/orchestrator works as follows:
For meta-analysis:
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This PR does two major things: