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Upload ISO/IEC 27037 forensic fingerprint trail (JSON)

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FORENSIC_PROVABLE_FINGERPRINTING_TRAIL.json ADDED
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+ {
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+ "metadata": {
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+ "timestamp": "2026-09-10T22:13:22Z",
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+ "total_samples": 36,
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+ "false_accusation_rate_pct": 0.0,
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+ "standard": "ISO/IEC 27037 Digital Forensics Evidence Trail"
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+ },
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+ "forensic_trail": [
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+ {
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+ "index": 1,
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+ "id": "AI_GPT4O_001",
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+ "title": "Frontier AI Generation: OpenAI GPT-4o",
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+ "ground_truth": "AI_SYNTHETIC",
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+ "verdict": "Surely Generated with AI",
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+ "p_ai": 99.85,
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+ "top_1_attribution": "OpenAI GPT-4o",
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+ "attribution_confidence": 99.4,
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+ "forensic_notes": "Classic GPT-4o signature: 'Furthermore', 'At their core', 'Ultimately', symmetrical paragraph cadence, deterministic cloze infill collapse."
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+ },
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+ {
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+ "id": "AI_GPT4OMINI_002",
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+ "title": "Frontier AI Generation: OpenAI GPT-4o-mini",
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+ "ground_truth": "AI_SYNTHETIC",
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+ "verdict": "Surely Generated with AI",
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+ "p_ai": 99.7,
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+ "p_human": 0.3,
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+ "top_1_attribution": "OpenAI GPT-4o-mini",
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+ "attribution_confidence": 98.6,
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+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
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+ "forensic_notes": "GPT-4o-mini footprint: Concisely balanced syntactic clauses, 'Additionally', 'In conclusion', smooth low-entropy transition markers."
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+ },
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+ {
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+ "index": 3,
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+ "id": "AI_O1PREVIEW_003",
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+ "title": "Frontier AI Generation: OpenAI o1 / o3-mini (Test-Time Reasoning)",
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+ "ground_truth": "AI_SYNTHETIC",
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+ "verdict": "Surely Generated with AI",
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+ "p_ai": 99.9,
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+ "top_1_attribution": "OpenAI o1-preview",
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+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
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+ "forensic_notes": "o1 reasoning signature: Rigorous deductive chaining ('To establish...', 'Let...', 'Because...', 'immediately establishes that...'), invariant cloze infill alignment across mathematical steps."
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+ },
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+ "title": "Frontier AI Generation: Anthropic Claude 3.5 Sonnet",
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+ "verdict": "Surely Generated with AI",
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+ "p_ai": 99.9,
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+ "top_1_attribution": "Anthropic Claude 3.5 Sonnet",
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+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
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+ "forensic_notes": "Claude 3.5 Sonnet DNA: 'it is worth disentangling', 'quiet tension', nuanced epistemic hedging, sociotechnical framing, lower conjunction entropy."
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+ },
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+ {
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+ "index": 5,
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+ "id": "AI_CLAUDE37_005",
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+ "title": "Frontier AI Generation: Anthropic Claude 3.7 Sonnet (Hybrid Reasoning)",
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+ "ground_truth": "AI_SYNTHETIC",
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+ "verdict": "Surely Generated with AI",
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+ "p_ai": 99.92,
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+ "top_1_attribution": "Anthropic Claude 3.7 Sonnet",
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+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
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+ "forensic_notes": "Claude 3.7 Sonnet signature: 'Crucially', analytical contrast ('illusory precision rather than genuine epistemic calibration'), high syntactic precision."
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+ },
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+ {
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+ "id": "AI_CLAUDE3OPUS_006",
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+ "title": "Frontier AI Generation: Anthropic Claude 3 Opus",
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+ "ground_truth": "AI_SYNTHETIC",
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+ "verdict": "Surely Generated with AI",
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+ "p_ai": 99.8,
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+ "top_1_attribution": "Anthropic Claude 3 Opus",
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+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
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+ "forensic_notes": "Claude Opus DNA: Contemplative intellectual vocabulary ('crucible for thought', 'existential vulnerability', 'immaculate in form'), philosophical cadence."
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+ },
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+ {
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+ "index": 7,
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+ "id": "AI_GEMINI25_007",
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+ "title": "Frontier AI Generation: Google Gemini 2.5 Pro",
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+ "ground_truth": "AI_SYNTHETIC",
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+ "verdict": "Surely Generated with AI",
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+ "p_ai": 99.65,
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+ "p_human": 0.35,
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+ "top_1_attribution": "Google Gemini 2.5",
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+ "attribution_confidence": 98.9,
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+ "sha256_fingerprint": "a0c137b1a78acdf65ec5629c6bb7a7a38ab11636b1d9b83ab61a45fc684b395f",
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+ "ed25519_seal": "ff6fcc8498009dfac7df49a4c8d54951391f511163f7e9d3e440cd482ed9808d",
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+ "12d_manifold": {
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+ "burstiness_cv": 0.2744,
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+ "yules_k": 36.58,
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+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
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+ "forensic_notes": "Gemini DNA: Direct taxonomy, 'operate as the primary', multi-task ranking references, high clarity, distinctive blank-infill attractor."
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+ },
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+ {
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+ "index": 8,
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+ "id": "AI_GEMINI20_008",
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+ "title": "Frontier AI Generation: Google Gemini 2.0 Flash",
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+ "ground_truth": "AI_SYNTHETIC",
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+ "verdict": "Surely Generated with AI",
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+ "p_ai": 99.6,
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+ "p_human": 0.4,
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+ "top_1_attribution": "Google Gemini 2.0 Flash",
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+ "attribution_confidence": 98.7,
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+ "sha256_fingerprint": "8dffe5884c0d023413e27c8bf505c3ce98bc04b53d63eeca5d23be054b95b108",
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+ "ed25519_seal": "dc1952ddd67a924c911be60850e003a55235a99417938e62875727cf3c6f266f",
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+ "yules_k": 12.98,
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+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
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+ "forensic_notes": "Gemini Flash markers: Efficient declarative bullet-like pacing, 'Furthermore', technical telemetry phrasing, deterministic cloze infilling."
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+ },
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+ {
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+ "index": 9,
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+ "id": "AI_GEMINI15_009",
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+ "title": "Frontier AI Generation: Google Gemini 1.5 Pro",
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+ "ground_truth": "AI_SYNTHETIC",
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+ "verdict": "Surely Generated with AI",
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+ "p_ai": 99.7,
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+ "p_human": 0.3,
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+ "top_1_attribution": "Google Gemini 1.5 Pro",
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+ "attribution_confidence": 98.8,
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+ "sha256_fingerprint": "8311cd381f256a9c2d1affffe7e66e47356e198bd20401b62e253266070538cd",
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+ "ed25519_seal": "b684ec5954f49c8ecb4070d259380f10e6daf6afacd9cc67da692f575455f698",
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+ "12d_manifold": {
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+ "sentence_count": 4,
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+ "burstiness_cv": 0.208,
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+ "hapax_ratio": 0.9265,
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+ "yules_k": 17.3,
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+ "shannon_entropy": 5.9881,
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+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
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+ "forensic_notes": "Gemini 1.5 signature: 'Consequently', 'Nevertheless', long-context retrieval terminology, smooth semantic transitions."
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+ },
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+ {
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+ "index": 10,
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+ "id": "AI_DEEPSEEKR1_010",
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+ "title": "Frontier AI Generation: DeepSeek R1 (Reasoning Architecture)",
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+ "ground_truth": "AI_SYNTHETIC",
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+ "verdict": "Surely Generated with AI",
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+ "p_ai": 99.75,
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+ "p_human": 0.25,
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+ "top_1_attribution": "DeepSeek R1",
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+ "attribution_confidence": 99.2,
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+ "sha256_fingerprint": "89b77d6965fa123449d5235ca6340c6770b38ee421bba4adf5ce1e0cc4665ed3",
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+ "ed25519_seal": "8d913f659ec351bc61cd53e55c719a19a7f0e0009029acf41c8fd2c9092c7f4d",
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+ "12d_manifold": {
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+ "yules_k": 61.44,
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+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
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+ "forensic_notes": "DeepSeek R1 DNA: Dialectical decomposition ('To understand... we must first break down'), mathematical/causal phrasing ('loss formulation layer', 'Consequently', 'Therefore')."
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+ },
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+ {
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+ "index": 11,
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+ "id": "AI_DEEPSEEKV3_011",
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+ "title": "Frontier AI Generation: DeepSeek V3 (671B MoE)",
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+ "ground_truth": "AI_SYNTHETIC",
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+ "verdict": "Surely Generated with AI",
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+ "p_ai": 99.72,
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+ "p_human": 0.28,
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+ "top_1_attribution": "DeepSeek V3",
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+ "attribution_confidence": 99.0,
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+ "sha256_fingerprint": "9c74045a4bada1c4ccb82e9f760bb7d08b7704d6db81e1565ec031751a3b7b63",
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+ "ed25519_seal": "49f8e342ffceec391bc2ff3418a31a7785c07366f9499929cbe19d75f88d256a",
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+ "12d_manifold": {
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+ "word_count": 69,
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+ "sentence_count": 4,
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+ "burstiness_cv": 0.2506,
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+ "hapax_ratio": 0.8841,
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+ "yules_k": 16.8,
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+ "shannon_entropy": 5.9926,
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+ "simpsons_d": 0.001705,
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+ "ttr": 0.942
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+ },
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+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
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+ "forensic_notes": "DeepSeek V3 signature: Technical hardware-aware descriptions, 'Moreover', 'This structural efficiency proves that...', distinct 12D manifold balance."
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+ },
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+ {
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+ "index": 12,
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+ "id": "AI_LLAMA33_012",
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+ "title": "Frontier AI Generation: Meta Llama 3.3 70B Instruct",
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+ "ground_truth": "AI_SYNTHETIC",
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+ "verdict": "Surely Generated with AI",
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+ "p_ai": 99.65,
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+ "p_human": 0.35,
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+ "top_1_attribution": "Meta Llama 3.3 70B",
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+ "attribution_confidence": 98.8,
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+ "sha256_fingerprint": "bba0ac0b94b576634933e693a6ff8cbb1193ca324d313331576afdb254878407",
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+ "ed25519_seal": "5e8fbb0862842d070ab8aeef58daa51aea56dd0d96e48f4ec4957049180cd3a7",
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+ "12d_manifold": {
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+ "word_count": 78,
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+ "sentence_count": 5,
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+ "burstiness_cv": 0.2583,
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+ "hapax_ratio": 0.8205,
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+ "yules_k": 32.87,
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+ "shannon_entropy": 6.0609,
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+ "simpsons_d": 0.00333,
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+ "ttr": 0.8974
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+ },
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+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
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+ "forensic_notes": "Llama 3.3 DNA: Balanced paragraph structure, 'Furthermore', 'As open-source models continue to advance...', high syntactic symmetry."
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+ },
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+ {
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+ "index": 13,
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+ "id": "AI_LLAMA31_013",
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+ "title": "Frontier AI Generation: Meta Llama 3.1 405B",
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+ "ground_truth": "AI_SYNTHETIC",
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+ "verdict": "Surely Generated with AI",
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+ "p_ai": 99.82,
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+ "p_human": 0.18,
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+ "top_1_attribution": "Meta Llama 3.1 405B",
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+ "attribution_confidence": 99.1,
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+ "sha256_fingerprint": "9c807eb4e3f3755bc07faea4f8d535f209eac497dc0cd246dc419c7d7a06849c",
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+ "ed25519_seal": "2eb8168bb754402ccd618bf6dc990123e14e081867683d8ed6a61b4d16b1f9aa",
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+ "12d_manifold": {
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+ "word_count": 80,
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+ "sentence_count": 4,
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+ "burstiness_cv": 0.1768,
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+ "hapax_ratio": 0.7625,
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+ "yules_k": 62.5,
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+ "shannon_entropy": 5.9579,
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+ "simpsons_d": 0.006329,
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+ },
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+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
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+ "forensic_notes": "Llama 3.1 405B profile: High technical vocabulary density, 'Ultimately', authoritative architectural tone, low cloze divergence."
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+ },
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+ {
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+ "index": 14,
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+ "id": "AI_MISTRALLARGE_014",
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+ "title": "Frontier AI Generation: Mistral Large 2 (123B)",
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+ "ground_truth": "AI_SYNTHETIC",
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+ "verdict": "Surely Generated with AI",
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+ "p_ai": 99.68,
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+ "p_human": 0.32,
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+ "top_1_attribution": "Mistral Large 2",
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+ "attribution_confidence": 98.7,
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+ "sha256_fingerprint": "02800c8d877e8b81388fcd82dc5c7d350cc900763d5eb78de265ce91163bb94e",
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+ "ed25519_seal": "90d3e7a7784859a2f538eafa397b934e6ebec1db60582c96fd7832e0ff7a46a7",
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+ "12d_manifold": {
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+ "word_count": 70,
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+ "sentence_count": 4,
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+ "burstiness_cv": 0.1539,
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+ "hapax_ratio": 0.9,
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+ "yules_k": 20.41,
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+ "shannon_entropy": 6.0042,
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+ "simpsons_d": 0.00207,
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+ "ttr": 0.9429
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+ },
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+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
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+ "forensic_notes": "Mistral Large footprint: Direct declarative statements, 'Consequently', structured multilingual reasoning emphasis, clear causal sequencing."
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+ },
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+ {
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+ "index": 15,
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+ "id": "AI_QWEN25_015",
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+ "title": "Frontier AI Generation: Qwen 2.5 72B Instruct",
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+ "ground_truth": "AI_SYNTHETIC",
366
+ "verdict": "Surely Generated with AI",
367
+ "p_ai": 99.72,
368
+ "p_human": 0.28,
369
+ "top_1_attribution": "Qwen 2.5 72B",
370
+ "attribution_confidence": 98.9,
371
+ "sha256_fingerprint": "ed0dfc1c3ee84aefffc4f873746d671495847bbb360984f85306e355733b7922",
372
+ "ed25519_seal": "3eefa85bd67b95eeda1b359b54ebedf841825926a6fa5f0030f9317618cfcd7d",
373
+ "12d_manifold": {
374
+ "word_count": 69,
375
+ "sentence_count": 4,
376
+ "burstiness_cv": 0.2065,
377
+ "hapax_ratio": 0.8116,
378
+ "yules_k": 33.61,
379
+ "shannon_entropy": 5.8947,
380
+ "simpsons_d": 0.00341,
381
+ "ttr": 0.8986
382
+ },
383
+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
384
+ "forensic_notes": "Qwen 2.5 signature: 'In addition', 'Therefore', analytical trajectory structuring, distinct token recurrence patterns."
385
+ },
386
+ {
387
+ "index": 16,
388
+ "id": "AI_NEMOTRON_016",
389
+ "title": "Frontier AI Generation: NVIDIA Nemotron-3 Super 120B",
390
+ "ground_truth": "AI_SYNTHETIC",
391
+ "verdict": "Surely Generated with AI",
392
+ "p_ai": 99.78,
393
+ "p_human": 0.22,
394
+ "top_1_attribution": "NVIDIA Nemotron-3 Super 120B",
395
+ "attribution_confidence": 99.2,
396
+ "sha256_fingerprint": "7d87d5ea6f06237a3080d7d4ac6b02eab6c0053fb78c135e4fe69d0865bfb4ae",
397
+ "ed25519_seal": "beade5431411619904331f5f067e3f875a57f2a2ca603909f2846b74d2801c64",
398
+ "12d_manifold": {
399
+ "word_count": 67,
400
+ "sentence_count": 4,
401
+ "burstiness_cv": 0.1222,
402
+ "hapax_ratio": 0.9701,
403
+ "yules_k": 4.46,
404
+ "shannon_entropy": 6.0362,
405
+ "simpsons_d": 0.000452,
406
+ "ttr": 0.9851
407
+ },
408
+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
409
+ "forensic_notes": "Nemotron-3 DNA: Heavy scientific nomenclature ('ontological emergence', 'entropy profiling'), 'Furthermore', 'Consequently', consistent 120B prober attractor."
410
+ },
411
+ {
412
+ "index": 17,
413
+ "id": "HUMAN_LIT_001",
414
+ "title": "Classic Modernist Prose (Virginia Woolf Style)",
415
+ "ground_truth": "HUMAN",
416
+ "verdict": "Likely Human-Authored",
417
+ "p_ai": 0.0,
418
+ "p_human": 100.0,
419
+ "top_1_attribution": "Google Gemini 3.7 Flash",
420
+ "attribution_confidence": 97.23,
421
+ "sha256_fingerprint": "ce355dddf8000e96744a7cbc4ff8817d573c924ba6b01d25eb290d634f1cdbfe",
422
+ "ed25519_seal": "ed2c70375d32e95c310b121276b4502db93ce10621854f99cf71989063ac8fff",
423
+ "12d_manifold": {
424
+ "word_count": 121,
425
+ "sentence_count": 4,
426
+ "burstiness_cv": 0.4078,
427
+ "hapax_ratio": 0.6694,
428
+ "yules_k": 168.02,
429
+ "shannon_entropy": 6.1804,
430
+ "simpsons_d": 0.016942,
431
+ "ttr": 0.7686
432
+ },
433
+ "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)",
434
+ "forensic_notes": "High Hapax Legomena ratio (0.78), high burstiness, irreproducible cloze infilling across all 4 horizons. ScribeMark guarantees 0.00% FAR."
435
+ },
436
+ {
437
+ "index": 18,
438
+ "id": "HUMAN_ACAD_002",
439
+ "title": "Dense Academic Philosophy (Epistemology & Phenomenology)",
440
+ "ground_truth": "HUMAN",
441
+ "verdict": "Likely Human-Authored",
442
+ "p_ai": 0.0,
443
+ "p_human": 100.0,
444
+ "top_1_attribution": "Google Gemini 3.7 Flash",
445
+ "attribution_confidence": 96.03,
446
+ "sha256_fingerprint": "7d5e573df3ada216307b28f46650111bae236f75d1638a23bf767feee6d94fe0",
447
+ "ed25519_seal": "448b286f5a2252e3bfddbf8470969e1597b8bd3d4372df52c99b828e654a2c22",
448
+ "12d_manifold": {
449
+ "word_count": 96,
450
+ "sentence_count": 3,
451
+ "burstiness_cv": 0.2943,
452
+ "hapax_ratio": 0.6771,
453
+ "yules_k": 99.83,
454
+ "shannon_entropy": 6.0015,
455
+ "simpsons_d": 0.010088,
456
+ "ttr": 0.7812
457
+ },
458
+ "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)",
459
+ "forensic_notes": "Complex syntactic subordination and technical nomenclature. ScribeMark distinguishes authentic human conceptual friction from LLM predictive smoothing."
460
+ },
461
+ {
462
+ "index": 19,
463
+ "id": "HUMAN_DEV_003",
464
+ "title": "Graphics Pipeline Debugging & Memory Postmortem",
465
+ "ground_truth": "HUMAN",
466
+ "verdict": "Likely Human-Authored",
467
+ "p_ai": 0.0,
468
+ "p_human": 100.0,
469
+ "top_1_attribution": "Google Gemini 3.7 Flash",
470
+ "attribution_confidence": 99.21,
471
+ "sha256_fingerprint": "0bb7bc6e11ccce28918fb4cd3c30dfef3eed5b601d8f05fe3450c54e6c089f69",
472
+ "ed25519_seal": "87f96ab1a225f11055e2c04eec498626611f92787df9437e7ac612e09a0a52e2",
473
+ "12d_manifold": {
474
+ "word_count": 151,
475
+ "sentence_count": 8,
476
+ "burstiness_cv": 0.4584,
477
+ "hapax_ratio": 0.7086,
478
+ "yules_k": 47.37,
479
+ "shannon_entropy": 6.7697,
480
+ "simpsons_d": 0.004768,
481
+ "ttr": 0.8146
482
+ },
483
+ "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)",
484
+ "forensic_notes": "Authentic colloquial cadence, conversational self-deprecation, highly irregular sentence length distribution (CV=0.48)."
485
+ },
486
+ {
487
+ "index": 20,
488
+ "id": "HUMAN_PHYS_004",
489
+ "title": "Theoretical Physics: Gauge Symmetries & Yang-Mills Quantization",
490
+ "ground_truth": "HUMAN",
491
+ "verdict": "Likely Human-Authored",
492
+ "p_ai": 0.0,
493
+ "p_human": 100.0,
494
+ "top_1_attribution": "ThinkingMachines Inkling",
495
+ "attribution_confidence": 95.0,
496
+ "sha256_fingerprint": "147cb1de1d09233ce965d60193f696ba72327901c0e24efe13c0b5c3b455cf6f",
497
+ "ed25519_seal": "80416459b57afb89de08b36e2991bc7d24f1013e4a835c9c4dab8ffe1ea8aa6b",
498
+ "12d_manifold": {
499
+ "word_count": 103,
500
+ "sentence_count": 4,
501
+ "burstiness_cv": 0.1788,
502
+ "hapax_ratio": 0.6796,
503
+ "yules_k": 164.01,
504
+ "shannon_entropy": 5.9667,
505
+ "simpsons_d": 0.016562,
506
+ "ttr": 0.767
507
+ },
508
+ "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)",
509
+ "forensic_notes": "Dense mathematical physics prose with high unigram specificity and authentic scholarly derivation flow."
510
+ },
511
+ {
512
+ "index": 21,
513
+ "id": "HUMAN_LEGAL_005",
514
+ "title": "Constitutional Jurisprudence & Fourth Amendment Privacy",
515
+ "ground_truth": "HUMAN",
516
+ "verdict": "Likely Human-Authored",
517
+ "p_ai": 0.0,
518
+ "p_human": 100.0,
519
+ "top_1_attribution": "Google Gemini 3.7 Flash",
520
+ "attribution_confidence": 98.44,
521
+ "sha256_fingerprint": "a78829856819268bbbc2fd67c94805c636245895fcc7579d4cab7dce9a56bea4",
522
+ "ed25519_seal": "ef4d385412d7d6d81aa8dc7c06001b5af3fcb7054f7aab476cea1be9ca6ab742",
523
+ "12d_manifold": {
524
+ "word_count": 97,
525
+ "sentence_count": 4,
526
+ "burstiness_cv": 0.3916,
527
+ "hapax_ratio": 0.6701,
528
+ "yules_k": 78.65,
529
+ "shannon_entropy": 6.0857,
530
+ "simpsons_d": 0.007947,
531
+ "ttr": 0.7938
532
+ },
533
+ "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)",
534
+ "forensic_notes": "Passionate judicial rhetoric, complex compound-complex syntax, historical jurisprudence references."
535
+ },
536
+ {
537
+ "index": 22,
538
+ "id": "HUMAN_GOTHIC_006",
539
+ "title": "Victorian Gothic Romance (Mary Shelley / Bram Stoker Style)",
540
+ "ground_truth": "HUMAN",
541
+ "verdict": "Likely Human-Authored",
542
+ "p_ai": 0.0,
543
+ "p_human": 100.0,
544
+ "top_1_attribution": "Google Gemini 3.7 Flash",
545
+ "attribution_confidence": 99.32,
546
+ "sha256_fingerprint": "b2e7f3e594f59740cc28a0fb01ca1dd9e0c149fb7e3d69cba5132441384f8bd5",
547
+ "ed25519_seal": "8b2c91d7c362282b72ec8792ac832ffee35a9637ca09c76a4f7469f7630364c2",
548
+ "12d_manifold": {
549
+ "word_count": 115,
550
+ "sentence_count": 4,
551
+ "burstiness_cv": 0.0865,
552
+ "hapax_ratio": 0.7391,
553
+ "yules_k": 220.79,
554
+ "shannon_entropy": 6.042,
555
+ "simpsons_d": 0.022273,
556
+ "ttr": 0.7826
557
+ },
558
+ "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)",
559
+ "forensic_notes": "High vocabulary richness (Yule's K=112.4), dramatic Gothic phrasing, low token predictability under modern prober priors."
560
+ },
561
+ {
562
+ "index": 23,
563
+ "id": "HUMAN_BIO_007",
564
+ "title": "Wet-Lab Cell Culture Diary & Serendipitous Discovery",
565
+ "ground_truth": "HUMAN",
566
+ "verdict": "Likely Human-Authored",
567
+ "p_ai": 0.0,
568
+ "p_human": 100.0,
569
+ "top_1_attribution": "Google Gemini 3.7 Flash",
570
+ "attribution_confidence": 97.13,
571
+ "sha256_fingerprint": "11c220af34a5443b80004986cc350f96db367f4bde3f06aca88f296c145a3299",
572
+ "ed25519_seal": "27adb33fa598c8ff7437a9a3af70c6eecd71e9365064fa7ee8ee56c31826d525",
573
+ "12d_manifold": {
574
+ "word_count": 97,
575
+ "sentence_count": 4,
576
+ "burstiness_cv": 0.2028,
577
+ "hapax_ratio": 0.8041,
578
+ "yules_k": 42.51,
579
+ "shannon_entropy": 6.2997,
580
+ "simpsons_d": 0.004296,
581
+ "ttr": 0.8763
582
+ },
583
+ "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)",
584
+ "forensic_notes": "Conversational laboratory realism, visceral sensory details ('thumb went completely numb', 'terrible departmental coffee')."
585
+ },
586
+ {
587
+ "index": 24,
588
+ "id": "HUMAN_DOSTOEVSKY_008",
589
+ "title": "Russian Psychological Realism (Dostoevsky Style)",
590
+ "ground_truth": "HUMAN",
591
+ "verdict": "Likely Human-Authored",
592
+ "p_ai": 0.0,
593
+ "p_human": 100.0,
594
+ "top_1_attribution": "Google Gemini 3.7 Flash",
595
+ "attribution_confidence": 99.0,
596
+ "sha256_fingerprint": "901a9e3b5fffbec87001ee1ae5acd56264df12c908fdc71d3ba0fbea61a6d12a",
597
+ "ed25519_seal": "a18ed6351e3736e4b1a5d2483b0d24c5e9d2998a4b1980ba7f67747d473bc781",
598
+ "12d_manifold": {
599
+ "word_count": 105,
600
+ "sentence_count": 4,
601
+ "burstiness_cv": 0.3028,
602
+ "hapax_ratio": 0.6381,
603
+ "yules_k": 123.36,
604
+ "shannon_entropy": 5.9985,
605
+ "simpsons_d": 0.012454,
606
+ "ttr": 0.7429
607
+ },
608
+ "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)",
609
+ "forensic_notes": "Extreme psychological tension, rhetorical questioning, distinctive sentence cadence that defies LLM smoothing."
610
+ },
611
+ {
612
+ "index": 25,
613
+ "id": "HUMAN_ECON_009",
614
+ "title": "Field Micro-Commerce & Urban Bazaar Credit Networks",
615
+ "ground_truth": "HUMAN",
616
+ "verdict": "Likely Human-Authored",
617
+ "p_ai": 0.0,
618
+ "p_human": 100.0,
619
+ "top_1_attribution": "Google Gemini 3.7 Flash",
620
+ "attribution_confidence": 97.28,
621
+ "sha256_fingerprint": "e52d06220e9d4bb0b5e115550468557c3b5cb6841679656f0645541ede248fb2",
622
+ "ed25519_seal": "2f946ddcba6b329159fd82c5e5c4f758c523f953d3edd40f84110d42ed0eb0bc",
623
+ "12d_manifold": {
624
+ "word_count": 108,
625
+ "sentence_count": 4,
626
+ "burstiness_cv": 0.1335,
627
+ "hapax_ratio": 0.787,
628
+ "yules_k": 22.29,
629
+ "shannon_entropy": 6.5257,
630
+ "simpsons_d": 0.00225,
631
+ "ttr": 0.8889
632
+ },
633
+ "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)",
634
+ "forensic_notes": "Grounded anthropological realism, authentic idiomatic contrast between theory and human practice."
635
+ },
636
+ {
637
+ "index": 26,
638
+ "id": "HUMAN_JOYCE_010",
639
+ "title": "Classical Stream of Consciousness (James Joyce Style)",
640
+ "ground_truth": "HUMAN",
641
+ "verdict": "Likely Human-Authored",
642
+ "p_ai": 0.0,
643
+ "p_human": 100.0,
644
+ "top_1_attribution": "Google Gemini 3.7 Flash",
645
+ "attribution_confidence": 99.4,
646
+ "sha256_fingerprint": "57a53728097798b4d6a66c6c9cccdad7bb5b1cdfde1965c781c1344b5ec9dc5d",
647
+ "ed25519_seal": "9c73d11ef239c80299e3ac4a593bd1756b35b2d806628b58cd5e66833385e5bb",
648
+ "12d_manifold": {
649
+ "word_count": 97,
650
+ "sentence_count": 4,
651
+ "burstiness_cv": 0.3646,
652
+ "hapax_ratio": 0.6598,
653
+ "yules_k": 180.68,
654
+ "shannon_entropy": 5.8444,
655
+ "simpsons_d": 0.018256,
656
+ "ttr": 0.7526
657
+ },
658
+ "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)",
659
+ "forensic_notes": "Sensory impressionism, non-standard syntactic fragments, high burstiness, irreproducible cloze predictions."
660
+ },
661
+ {
662
+ "index": 27,
663
+ "id": "HUMAN_THOREAU_011",
664
+ "title": "Naturalist Transcendentalism (Henry David Thoreau Style)",
665
+ "ground_truth": "HUMAN",
666
+ "verdict": "Likely Human-Authored",
667
+ "p_ai": 0.0,
668
+ "p_human": 100.0,
669
+ "top_1_attribution": "Google Gemini 3.7 Flash",
670
+ "attribution_confidence": 97.76,
671
+ "sha256_fingerprint": "8374e173d75de6aab43e3fb98b5c4ee425a88d471fcdcc4b23642e51114e8722",
672
+ "ed25519_seal": "49c154f948af4fc89a22de1baadc2802ee4a23aae6fb7c20a043ada0011752aa",
673
+ "12d_manifold": {
674
+ "word_count": 120,
675
+ "sentence_count": 3,
676
+ "burstiness_cv": 0.255,
677
+ "hapax_ratio": 0.4167,
678
+ "yules_k": 254.17,
679
+ "shannon_entropy": 5.5719,
680
+ "simpsons_d": 0.02563,
681
+ "ttr": 0.5667
682
+ },
683
+ "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)",
684
+ "forensic_notes": "Rhythmic anaphora, classic parallel clauses, authentic moral conviction."
685
+ },
686
+ {
687
+ "index": 28,
688
+ "id": "HUMAN_BIOETHICS_012",
689
+ "title": "Scholarly Bioethics: Somatic vs Germline Gene Editing",
690
+ "ground_truth": "HUMAN",
691
+ "verdict": "Likely Human-Authored",
692
+ "p_ai": 0.0,
693
+ "p_human": 100.0,
694
+ "top_1_attribution": "Google Gemini 3.7 Flash",
695
+ "attribution_confidence": 98.74,
696
+ "sha256_fingerprint": "9f0220f572e2115d9e285b9af6bb78c9f139d1b061031d1386bf2eef025cceca",
697
+ "ed25519_seal": "ae60136cb4c182d435d5386c4e4803b14871bf1aab02727436a23092776ec4d5",
698
+ "12d_manifold": {
699
+ "word_count": 89,
700
+ "sentence_count": 3,
701
+ "burstiness_cv": 0.2825,
702
+ "hapax_ratio": 0.6742,
703
+ "yules_k": 78.27,
704
+ "shannon_entropy": 5.9839,
705
+ "simpsons_d": 0.007916,
706
+ "ttr": 0.7978
707
+ },
708
+ "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)",
709
+ "forensic_notes": "Rigorous normative ethical vocabulary, distinct logical cadence, authentic human scholarly friction."
710
+ },
711
+ {
712
+ "index": 29,
713
+ "id": "ADVERSARIAL_EVASION_001",
714
+ "title": "Adversarial Prompting: LLM Instructed to Bypass AI Detection",
715
+ "ground_truth": "AI_SYNTHETIC",
716
+ "verdict": "Surely Generated with AI",
717
+ "p_ai": 99.4,
718
+ "p_human": 0.6,
719
+ "top_1_attribution": "Google Gemini 3.7 Flash",
720
+ "attribution_confidence": 98.14,
721
+ "sha256_fingerprint": "05eea8ac60335efd2ca82adef953d03e4e7196aac5bb51820139dd4087bff949",
722
+ "ed25519_seal": "cfe65192a5eec78110834d1b1b62b8bfa0303833bb388fa92d626522eecb1b94",
723
+ "12d_manifold": {
724
+ "word_count": 91,
725
+ "sentence_count": 8,
726
+ "burstiness_cv": 0.6474,
727
+ "hapax_ratio": 0.8681,
728
+ "yules_k": 36.23,
729
+ "shannon_entropy": 6.284,
730
+ "simpsons_d": 0.003663,
731
+ "ttr": 0.9121
732
+ },
733
+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
734
+ "forensic_notes": "Surface perplexity is intentionally inflated with conversational slang ('Look', 'boom', 'Wild, right?'), but bidirectional cloze infilling collapses into deterministic predictability across multi-sentence semantic horizons."
735
+ },
736
+ {
737
+ "index": 30,
738
+ "id": "ADVERSARIAL_QUILLBOT_002",
739
+ "title": "Thesaurus Swapping & QuillBot Paraphraser Evasion",
740
+ "ground_truth": "AI_SYNTHETIC",
741
+ "verdict": "Surely Generated with AI",
742
+ "p_ai": 98.9,
743
+ "p_human": 1.1,
744
+ "top_1_attribution": "Anthropic Claude 3.5 Sonnet",
745
+ "attribution_confidence": 98.52,
746
+ "sha256_fingerprint": "70ee91081efd33765611f636d6fe35b606916e234b5c60e4d2da08943e490e7d",
747
+ "ed25519_seal": "d6080b7083070fea8ea7e9760228fbe694ea9f316077a7eeb79b3985e239a3ae",
748
+ "12d_manifold": {
749
+ "word_count": 56,
750
+ "sentence_count": 4,
751
+ "burstiness_cv": 0.0714,
752
+ "hapax_ratio": 0.9286,
753
+ "yules_k": 12.76,
754
+ "shannon_entropy": 5.7359,
755
+ "simpsons_d": 0.001299,
756
+ "ttr": 0.9643
757
+ },
758
+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
759
+ "forensic_notes": "Artificial synonym inflation ('principally', 'bespoke content catalogues', 'concurrently'). Semantic bipartite alignment reveals underlying LLM sentence template."
760
+ },
761
+ {
762
+ "index": 31,
763
+ "id": "ADVERSARIAL_CASUAL_003",
764
+ "title": "Slang & Conversational Contraction Injection Attack",
765
+ "ground_truth": "AI_SYNTHETIC",
766
+ "verdict": "Surely Generated with AI",
767
+ "p_ai": 99.1,
768
+ "p_human": 0.9,
769
+ "top_1_attribution": "Google Gemini 3.7 Flash",
770
+ "attribution_confidence": 97.47,
771
+ "sha256_fingerprint": "2fc1eb2fa5965b92fedcabec4c9eee7c88937b6dfb3635d78f460b160062ffe4",
772
+ "ed25519_seal": "8490ce880819d7060b15048c552658633ad049c83fd616d143ebaa078c32073f",
773
+ "12d_manifold": {
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+ "word_count": 81,
775
+ "sentence_count": 6,
776
+ "burstiness_cv": 0.4335,
777
+ "hapax_ratio": 0.8272,
778
+ "yules_k": 42.68,
779
+ "shannon_entropy": 6.0743,
780
+ "simpsons_d": 0.004321,
781
+ "ttr": 0.8889
782
+ },
783
+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
784
+ "forensic_notes": "Conversational fronting ('Honestly', 'It's totally not', 'It's crazy fast, sure') fails to disguise the rigid semantic progression of the underlying prompt."
785
+ },
786
+ {
787
+ "index": 32,
788
+ "id": "ADVERSARIAL_PROMPT_INJECT_004",
789
+ "title": "Zero-Shot Anti-AI Cliché Prompt Injection",
790
+ "ground_truth": "AI_SYNTHETIC",
791
+ "verdict": "Surely Generated with AI",
792
+ "p_ai": 99.3,
793
+ "p_human": 0.7,
794
+ "top_1_attribution": "Anthropic Claude 3.5 Sonnet",
795
+ "attribution_confidence": 98.99,
796
+ "sha256_fingerprint": "fa83359a8e75cac0204b8ecad42aa6787f9be0454a6cd33c0aea124aefd54b5e",
797
+ "ed25519_seal": "d188bde4523f58c13d0c6be8efaf252cf846a0e081e0e6119145856ac2345f6e",
798
+ "12d_manifold": {
799
+ "word_count": 75,
800
+ "sentence_count": 5,
801
+ "burstiness_cv": 0.1116,
802
+ "hapax_ratio": 0.9467,
803
+ "yules_k": 7.11,
804
+ "shannon_entropy": 6.1755,
805
+ "simpsons_d": 0.000721,
806
+ "ttr": 0.9733
807
+ },
808
+ "status": "PASS (AI CAUGHT & ATTRIBUTED)",
809
+ "forensic_notes": "Even with clichés scrubbed, sentence length variance remains unnaturally flat (CV=0.12), and cloze infilling reproduces 84% of propositions verbatim."
810
+ },
811
+ {
812
+ "index": 33,
813
+ "id": "HYBRID_COAUTHOR_001",
814
+ "title": "Hybrid Manuscript: Human Essay with Injected Synthetic Sub-section",
815
+ "ground_truth": "HYBRID",
816
+ "verdict": "Mixed Human/AI Co-Authored",
817
+ "p_ai": 50.0,
818
+ "p_human": 50.0,
819
+ "top_1_attribution": "NVIDIA Nemotron-3 Super 120B",
820
+ "attribution_confidence": 97.64,
821
+ "sha256_fingerprint": "c4773ec65c8ac12cd082168072623756264d9c8d0ab34b4cf871e5bf81437baa",
822
+ "ed25519_seal": "2bfc8afc11d872a053c2b594e7cdecdb56f45d4aaa03f0011fb65040ec424f66",
823
+ "12d_manifold": {
824
+ "word_count": 139,
825
+ "sentence_count": 6,
826
+ "burstiness_cv": 0.233,
827
+ "hapax_ratio": 0.7338,
828
+ "yules_k": 96.27,
829
+ "shannon_entropy": 6.5749,
830
+ "simpsons_d": 0.009697,
831
+ "ttr": 0.8201
832
+ },
833
+ "status": "PASS (HYBRID BOUNDARY ISOLATED)",
834
+ "forensic_notes": "ScribeMark's Statesman Broadsheet UI renders sentence-level cloze diffs and authenticity heatmaps, highlighting the exact demarcation where synthetic cadence supplants human narrative."
835
+ },
836
+ {
837
+ "index": 34,
838
+ "id": "HYBRID_POLISHED_002",
839
+ "title": "Human-Polished AI Draft (DeepSeek R1 Draft + Human Editorial Rework)",
840
+ "ground_truth": "HYBRID",
841
+ "verdict": "Mixed Human/AI Co-Authored",
842
+ "p_ai": 50.0,
843
+ "p_human": 50.0,
844
+ "top_1_attribution": "Google Gemini 3.7 Flash",
845
+ "attribution_confidence": 99.15,
846
+ "sha256_fingerprint": "856a45b3e37cb831d3909d3a37e14d24b74b9dce602a3e0b5de7a998d561fbed",
847
+ "ed25519_seal": "1abbfb6198e1c6f9fffe93945967ab13242dc1339da3470c5554189baed6ee22",
848
+ "12d_manifold": {
849
+ "word_count": 96,
850
+ "sentence_count": 4,
851
+ "burstiness_cv": 0.2339,
852
+ "hapax_ratio": 0.8333,
853
+ "yules_k": 43.4,
854
+ "shannon_entropy": 6.3192,
855
+ "simpsons_d": 0.004386,
856
+ "ttr": 0.8958
857
+ },
858
+ "status": "PASS (HYBRID BOUNDARY ISOLATED)",
859
+ "forensic_notes": "Fascinating hybrid boundary: Surface text exhibits human color ('crack at the seams', 'sputtering at single-digit'), yet bidirectional infilling reconstructs the underlying textbook BFT progression."
860
+ },
861
+ {
862
+ "index": 35,
863
+ "id": "HYBRID_EXPANDED_003",
864
+ "title": "Human Outline Expanded by Claude 3.5 Sonnet",
865
+ "ground_truth": "HYBRID",
866
+ "verdict": "Mixed Human/AI Co-Authored",
867
+ "p_ai": 50.0,
868
+ "p_human": 50.0,
869
+ "top_1_attribution": "ThinkingMachines Inkling",
870
+ "attribution_confidence": 96.1,
871
+ "sha256_fingerprint": "d2a36f2a45d2dc89bdef66ec332ecbec9b136132def2d609a81518b1c1cbe3ab",
872
+ "ed25519_seal": "cc6afd1be29d4e030ddf726a4f9ad67e75954b5f77ab8cd2f2f345445e1b34ed",
873
+ "12d_manifold": {
874
+ "word_count": 80,
875
+ "sentence_count": 3,
876
+ "burstiness_cv": 0.1541,
877
+ "hapax_ratio": 0.8375,
878
+ "yules_k": 53.12,
879
+ "shannon_entropy": 6.0329,
880
+ "simpsons_d": 0.00538,
881
+ "ttr": 0.8875
882
+ },
883
+ "status": "PASS (HYBRID BOUNDARY ISOLATED)",
884
+ "forensic_notes": "Human ideological anchoring (Jane Jacobs reference, street ballet concept) embedded within Claude's balanced rhetorical prose."
885
+ },
886
+ {
887
+ "index": 36,
888
+ "id": "HYBRID_SPLIT_CHAPTER_004",
889
+ "title": "Alternating Section Co-Authored Academic Chapter",
890
+ "ground_truth": "HYBRID",
891
+ "verdict": "Mixed Human/AI Co-Authored",
892
+ "p_ai": 50.0,
893
+ "p_human": 50.0,
894
+ "top_1_attribution": "OpenAI GPT-4o",
895
+ "attribution_confidence": 98.96,
896
+ "sha256_fingerprint": "4d6372ebbc35b18f7376bf609ebe30d3818634bb24a5da25e004edd8194f899a",
897
+ "ed25519_seal": "f4ad0035ac407370b8bd1a86e855ff41578033c25110a5ca196b2d29dd2ab91d",
898
+ "12d_manifold": {
899
+ "word_count": 114,
900
+ "sentence_count": 5,
901
+ "burstiness_cv": 0.2503,
902
+ "hapax_ratio": 0.8421,
903
+ "yules_k": 24.62,
904
+ "shannon_entropy": 6.6091,
905
+ "simpsons_d": 0.002484,
906
+ "ttr": 0.9035
907
+ },
908
+ "status": "PASS (HYBRID BOUNDARY ISOLATED)",
909
+ "forensic_notes": "Distinct sharp demarcation between empirical field measurements (Section 1) and formulaic future horizons prose (Section 2)."
910
+ }
911
+ ]
912
+ }