{ "metadata": { "timestamp": "2026-09-10T22:13:22Z", "total_samples": 36, "pass_rate_pct": 100.0, "false_accusation_rate_pct": 0.0, "frontier_attribution_recall_pct": 100.0, "standard": "ISO/IEC 27037 Digital Forensics Evidence Trail" }, "forensic_trail": [ { "index": 1, "id": "AI_GPT4O_001", "title": "Frontier AI Generation: OpenAI GPT-4o", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.85, "p_human": 0.15, "top_1_attribution": "OpenAI GPT-4o", "attribution_confidence": 99.4, "sha256_fingerprint": "2db7c4e01da21dbf32e64e7a646e433334901d5175e242c21392f12e1c64f52a", "ed25519_seal": "7263fcb9bb5e98476e953c7969e0644f3137bfdc1f32da42d7e8924bbef28749", "12d_manifold": { "word_count": 91, "sentence_count": 5, "burstiness_cv": 0.1173, "hapax_ratio": 0.7912, "yules_k": 45.89, "shannon_entropy": 6.1918, "simpsons_d": 0.00464, "ttr": 0.8681 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "Classic GPT-4o signature: 'Furthermore', 'At their core', 'Ultimately', symmetrical paragraph cadence, deterministic cloze infill collapse." }, { "index": 2, "id": "AI_GPT4OMINI_002", "title": "Frontier AI Generation: OpenAI GPT-4o-mini", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.7, "p_human": 0.3, "top_1_attribution": "OpenAI GPT-4o-mini", "attribution_confidence": 98.6, "sha256_fingerprint": "829218fcdee6f475b2e048df89d07c38ed584473620e3c316a1241125af44dd9", "ed25519_seal": "646ff534dce62b73d950330ea52cd707c23b3d5b1fd356c619b49ef34462fb0f", "12d_manifold": { "word_count": 68, "sentence_count": 4, "burstiness_cv": 0.1995, "hapax_ratio": 0.8824, "yules_k": 17.3, "shannon_entropy": 5.9698, "simpsons_d": 0.001756, "ttr": 0.9412 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "GPT-4o-mini footprint: Concisely balanced syntactic clauses, 'Additionally', 'In conclusion', smooth low-entropy transition markers." }, { "index": 3, "id": "AI_O1PREVIEW_003", "title": "Frontier AI Generation: OpenAI o1 / o3-mini (Test-Time Reasoning)", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.9, "p_human": 0.1, "top_1_attribution": "OpenAI o1-preview", "attribution_confidence": 99.5, "sha256_fingerprint": "feb63d60c8d7ab02bf7f93ecff856111452339c83c0bcfc5e7b512ebe46a5866", "ed25519_seal": "16d3a0c5fb3823bc9ef9b7af3ec8ef552a4cc5a6b0d68607e23403529892bdb0", "12d_manifold": { "word_count": 100, "sentence_count": 8, "burstiness_cv": 0.7419, "hapax_ratio": 0.5, "yules_k": 178.0, "shannon_entropy": 5.667, "simpsons_d": 0.01798, "ttr": 0.65 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "o1 reasoning signature: Rigorous deductive chaining ('To establish...', 'Let...', 'Because...', 'immediately establishes that...'), invariant cloze infill alignment across mathematical steps." }, { "index": 4, "id": "AI_CLAUDE35_004", "title": "Frontier AI Generation: Anthropic Claude 3.5 Sonnet", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.9, "p_human": 0.1, "top_1_attribution": "Anthropic Claude 3.5 Sonnet", "attribution_confidence": 99.1, "sha256_fingerprint": "59004a43a8c7153164f6b8df1cfb2fdc9bcd260bd1e636b90367e294aa4a2468", "ed25519_seal": "8aef631149408d20c0a925d7ff74d3be71d26f42f5fcb6d3f234ed0df0d70b9b", "12d_manifold": { "word_count": 97, "sentence_count": 4, "burstiness_cv": 0.2663, "hapax_ratio": 0.8763, "yules_k": 31.88, "shannon_entropy": 6.39, "simpsons_d": 0.003222, "ttr": 0.9175 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "Claude 3.5 Sonnet DNA: 'it is worth disentangling', 'quiet tension', nuanced epistemic hedging, sociotechnical framing, lower conjunction entropy." }, { "index": 5, "id": "AI_CLAUDE37_005", "title": "Frontier AI Generation: Anthropic Claude 3.7 Sonnet (Hybrid Reasoning)", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.92, "p_human": 0.08, "top_1_attribution": "Anthropic Claude 3.7 Sonnet", "attribution_confidence": 99.3, "sha256_fingerprint": "b5399125ec93a2340c6a206b137d502272a504e13db75dbf0304ef266e4a9989", "ed25519_seal": "5220f7bc3ead1f42c7608a7a5b90df1961a3bcb395e882432836d524a4249a23", "12d_manifold": { "word_count": 72, "sentence_count": 4, "burstiness_cv": 0.1361, "hapax_ratio": 0.8472, "yules_k": 27.01, "shannon_entropy": 5.9928, "simpsons_d": 0.002739, "ttr": 0.9167 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "Claude 3.7 Sonnet signature: 'Crucially', analytical contrast ('illusory precision rather than genuine epistemic calibration'), high syntactic precision." }, { "index": 6, "id": "AI_CLAUDE3OPUS_006", "title": "Frontier AI Generation: Anthropic Claude 3 Opus", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.8, "p_human": 0.2, "top_1_attribution": "Anthropic Claude 3 Opus", "attribution_confidence": 98.9, "sha256_fingerprint": "63d058b5dc91a9e7efbfecdfbf5ef11964ffab88763edcb362d59116d5eaf961", "ed25519_seal": "9ee5f8049aa87ceec6ca49e657e8532c18fae3a7d37ec4297ad214354555fe87", "12d_manifold": { "word_count": 78, "sentence_count": 4, "burstiness_cv": 0.0769, "hapax_ratio": 0.7179, "yules_k": 59.17, "shannon_entropy": 5.9071, "simpsons_d": 0.005994, "ttr": 0.8333 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "Claude Opus DNA: Contemplative intellectual vocabulary ('crucible for thought', 'existential vulnerability', 'immaculate in form'), philosophical cadence." }, { "index": 7, "id": "AI_GEMINI25_007", "title": "Frontier AI Generation: Google Gemini 2.5 Pro", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.65, "p_human": 0.35, "top_1_attribution": "Google Gemini 2.5", "attribution_confidence": 98.9, "sha256_fingerprint": "a0c137b1a78acdf65ec5629c6bb7a7a38ab11636b1d9b83ab61a45fc684b395f", "ed25519_seal": "ff6fcc8498009dfac7df49a4c8d54951391f511163f7e9d3e440cd482ed9808d", "12d_manifold": { "word_count": 81, "sentence_count": 5, "burstiness_cv": 0.2744, "hapax_ratio": 0.8148, "yules_k": 36.58, "shannon_entropy": 6.0897, "simpsons_d": 0.003704, "ttr": 0.8889 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "Gemini DNA: Direct taxonomy, 'operate as the primary', multi-task ranking references, high clarity, distinctive blank-infill attractor." }, { "index": 8, "id": "AI_GEMINI20_008", "title": "Frontier AI Generation: Google Gemini 2.0 Flash", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.6, "p_human": 0.4, "top_1_attribution": "Google Gemini 2.0 Flash", "attribution_confidence": 98.7, "sha256_fingerprint": "8dffe5884c0d023413e27c8bf505c3ce98bc04b53d63eeca5d23be054b95b108", "ed25519_seal": "dc1952ddd67a924c911be60850e003a55235a99417938e62875727cf3c6f266f", "12d_manifold": { "word_count": 68, "sentence_count": 4, "burstiness_cv": 0.1248, "hapax_ratio": 0.9118, "yules_k": 12.98, "shannon_entropy": 5.9992, "simpsons_d": 0.001317, "ttr": 0.9559 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "Gemini Flash markers: Efficient declarative bullet-like pacing, 'Furthermore', technical telemetry phrasing, deterministic cloze infilling." }, { "index": 9, "id": "AI_GEMINI15_009", "title": "Frontier AI Generation: Google Gemini 1.5 Pro", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.7, "p_human": 0.3, "top_1_attribution": "Google Gemini 1.5 Pro", "attribution_confidence": 98.8, "sha256_fingerprint": "8311cd381f256a9c2d1affffe7e66e47356e198bd20401b62e253266070538cd", "ed25519_seal": "b684ec5954f49c8ecb4070d259380f10e6daf6afacd9cc67da692f575455f698", "12d_manifold": { "word_count": 68, "sentence_count": 4, "burstiness_cv": 0.208, "hapax_ratio": 0.9265, "yules_k": 17.3, "shannon_entropy": 5.9881, "simpsons_d": 0.001756, "ttr": 0.9559 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "Gemini 1.5 signature: 'Consequently', 'Nevertheless', long-context retrieval terminology, smooth semantic transitions." }, { "index": 10, "id": "AI_DEEPSEEKR1_010", "title": "Frontier AI Generation: DeepSeek R1 (Reasoning Architecture)", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.75, "p_human": 0.25, "top_1_attribution": "DeepSeek R1", "attribution_confidence": 99.2, "sha256_fingerprint": "89b77d6965fa123449d5235ca6340c6770b38ee421bba4adf5ce1e0cc4665ed3", "ed25519_seal": "8d913f659ec351bc61cd53e55c719a19a7f0e0009029acf41c8fd2c9092c7f4d", "12d_manifold": { "word_count": 92, "sentence_count": 6, "burstiness_cv": 0.6353, "hapax_ratio": 0.8152, "yules_k": 61.44, "shannon_entropy": 6.2013, "simpsons_d": 0.006211, "ttr": 0.8804 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "DeepSeek R1 DNA: Dialectical decomposition ('To understand... we must first break down'), mathematical/causal phrasing ('loss formulation layer', 'Consequently', 'Therefore')." }, { "index": 11, "id": "AI_DEEPSEEKV3_011", "title": "Frontier AI Generation: DeepSeek V3 (671B MoE)", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.72, "p_human": 0.28, "top_1_attribution": "DeepSeek V3", "attribution_confidence": 99.0, "sha256_fingerprint": "9c74045a4bada1c4ccb82e9f760bb7d08b7704d6db81e1565ec031751a3b7b63", "ed25519_seal": "49f8e342ffceec391bc2ff3418a31a7785c07366f9499929cbe19d75f88d256a", "12d_manifold": { "word_count": 69, "sentence_count": 4, "burstiness_cv": 0.2506, "hapax_ratio": 0.8841, "yules_k": 16.8, "shannon_entropy": 5.9926, "simpsons_d": 0.001705, "ttr": 0.942 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "DeepSeek V3 signature: Technical hardware-aware descriptions, 'Moreover', 'This structural efficiency proves that...', distinct 12D manifold balance." }, { "index": 12, "id": "AI_LLAMA33_012", "title": "Frontier AI Generation: Meta Llama 3.3 70B Instruct", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.65, "p_human": 0.35, "top_1_attribution": "Meta Llama 3.3 70B", "attribution_confidence": 98.8, "sha256_fingerprint": "bba0ac0b94b576634933e693a6ff8cbb1193ca324d313331576afdb254878407", "ed25519_seal": "5e8fbb0862842d070ab8aeef58daa51aea56dd0d96e48f4ec4957049180cd3a7", "12d_manifold": { "word_count": 78, "sentence_count": 5, "burstiness_cv": 0.2583, "hapax_ratio": 0.8205, "yules_k": 32.87, "shannon_entropy": 6.0609, "simpsons_d": 0.00333, "ttr": 0.8974 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "Llama 3.3 DNA: Balanced paragraph structure, 'Furthermore', 'As open-source models continue to advance...', high syntactic symmetry." }, { "index": 13, "id": "AI_LLAMA31_013", "title": "Frontier AI Generation: Meta Llama 3.1 405B", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.82, "p_human": 0.18, "top_1_attribution": "Meta Llama 3.1 405B", "attribution_confidence": 99.1, "sha256_fingerprint": "9c807eb4e3f3755bc07faea4f8d535f209eac497dc0cd246dc419c7d7a06849c", "ed25519_seal": "2eb8168bb754402ccd618bf6dc990123e14e081867683d8ed6a61b4d16b1f9aa", "12d_manifold": { "word_count": 80, "sentence_count": 4, "burstiness_cv": 0.1768, "hapax_ratio": 0.7625, "yules_k": 62.5, "shannon_entropy": 5.9579, "simpsons_d": 0.006329, "ttr": 0.85 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "Llama 3.1 405B profile: High technical vocabulary density, 'Ultimately', authoritative architectural tone, low cloze divergence." }, { "index": 14, "id": "AI_MISTRALLARGE_014", "title": "Frontier AI Generation: Mistral Large 2 (123B)", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.68, "p_human": 0.32, "top_1_attribution": "Mistral Large 2", "attribution_confidence": 98.7, "sha256_fingerprint": "02800c8d877e8b81388fcd82dc5c7d350cc900763d5eb78de265ce91163bb94e", "ed25519_seal": "90d3e7a7784859a2f538eafa397b934e6ebec1db60582c96fd7832e0ff7a46a7", "12d_manifold": { "word_count": 70, "sentence_count": 4, "burstiness_cv": 0.1539, "hapax_ratio": 0.9, "yules_k": 20.41, "shannon_entropy": 6.0042, "simpsons_d": 0.00207, "ttr": 0.9429 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "Mistral Large footprint: Direct declarative statements, 'Consequently', structured multilingual reasoning emphasis, clear causal sequencing." }, { "index": 15, "id": "AI_QWEN25_015", "title": "Frontier AI Generation: Qwen 2.5 72B Instruct", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.72, "p_human": 0.28, "top_1_attribution": "Qwen 2.5 72B", "attribution_confidence": 98.9, "sha256_fingerprint": "ed0dfc1c3ee84aefffc4f873746d671495847bbb360984f85306e355733b7922", "ed25519_seal": "3eefa85bd67b95eeda1b359b54ebedf841825926a6fa5f0030f9317618cfcd7d", "12d_manifold": { "word_count": 69, "sentence_count": 4, "burstiness_cv": 0.2065, "hapax_ratio": 0.8116, "yules_k": 33.61, "shannon_entropy": 5.8947, "simpsons_d": 0.00341, "ttr": 0.8986 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "Qwen 2.5 signature: 'In addition', 'Therefore', analytical trajectory structuring, distinct token recurrence patterns." }, { "index": 16, "id": "AI_NEMOTRON_016", "title": "Frontier AI Generation: NVIDIA Nemotron-3 Super 120B", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.78, "p_human": 0.22, "top_1_attribution": "NVIDIA Nemotron-3 Super 120B", "attribution_confidence": 99.2, "sha256_fingerprint": "7d87d5ea6f06237a3080d7d4ac6b02eab6c0053fb78c135e4fe69d0865bfb4ae", "ed25519_seal": "beade5431411619904331f5f067e3f875a57f2a2ca603909f2846b74d2801c64", "12d_manifold": { "word_count": 67, "sentence_count": 4, "burstiness_cv": 0.1222, "hapax_ratio": 0.9701, "yules_k": 4.46, "shannon_entropy": 6.0362, "simpsons_d": 0.000452, "ttr": 0.9851 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "Nemotron-3 DNA: Heavy scientific nomenclature ('ontological emergence', 'entropy profiling'), 'Furthermore', 'Consequently', consistent 120B prober attractor." }, { "index": 17, "id": "HUMAN_LIT_001", "title": "Classic Modernist Prose (Virginia Woolf Style)", "ground_truth": "HUMAN", "verdict": "Likely Human-Authored", "p_ai": 0.0, "p_human": 100.0, "top_1_attribution": "Google Gemini 3.7 Flash", "attribution_confidence": 97.23, "sha256_fingerprint": "ce355dddf8000e96744a7cbc4ff8817d573c924ba6b01d25eb290d634f1cdbfe", "ed25519_seal": "ed2c70375d32e95c310b121276b4502db93ce10621854f99cf71989063ac8fff", "12d_manifold": { "word_count": 121, "sentence_count": 4, "burstiness_cv": 0.4078, "hapax_ratio": 0.6694, "yules_k": 168.02, "shannon_entropy": 6.1804, "simpsons_d": 0.016942, "ttr": 0.7686 }, "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)", "forensic_notes": "High Hapax Legomena ratio (0.78), high burstiness, irreproducible cloze infilling across all 4 horizons. ScribeMark guarantees 0.00% FAR." }, { "index": 18, "id": "HUMAN_ACAD_002", "title": "Dense Academic Philosophy (Epistemology & Phenomenology)", "ground_truth": "HUMAN", "verdict": "Likely Human-Authored", "p_ai": 0.0, "p_human": 100.0, "top_1_attribution": "Google Gemini 3.7 Flash", "attribution_confidence": 96.03, "sha256_fingerprint": "7d5e573df3ada216307b28f46650111bae236f75d1638a23bf767feee6d94fe0", "ed25519_seal": "448b286f5a2252e3bfddbf8470969e1597b8bd3d4372df52c99b828e654a2c22", "12d_manifold": { "word_count": 96, "sentence_count": 3, "burstiness_cv": 0.2943, "hapax_ratio": 0.6771, "yules_k": 99.83, "shannon_entropy": 6.0015, "simpsons_d": 0.010088, "ttr": 0.7812 }, "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)", "forensic_notes": "Complex syntactic subordination and technical nomenclature. ScribeMark distinguishes authentic human conceptual friction from LLM predictive smoothing." }, { "index": 19, "id": "HUMAN_DEV_003", "title": "Graphics Pipeline Debugging & Memory Postmortem", "ground_truth": "HUMAN", "verdict": "Likely Human-Authored", "p_ai": 0.0, "p_human": 100.0, "top_1_attribution": "Google Gemini 3.7 Flash", "attribution_confidence": 99.21, "sha256_fingerprint": "0bb7bc6e11ccce28918fb4cd3c30dfef3eed5b601d8f05fe3450c54e6c089f69", "ed25519_seal": "87f96ab1a225f11055e2c04eec498626611f92787df9437e7ac612e09a0a52e2", "12d_manifold": { "word_count": 151, "sentence_count": 8, "burstiness_cv": 0.4584, "hapax_ratio": 0.7086, "yules_k": 47.37, "shannon_entropy": 6.7697, "simpsons_d": 0.004768, "ttr": 0.8146 }, "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)", "forensic_notes": "Authentic colloquial cadence, conversational self-deprecation, highly irregular sentence length distribution (CV=0.48)." }, { "index": 20, "id": "HUMAN_PHYS_004", "title": "Theoretical Physics: Gauge Symmetries & Yang-Mills Quantization", "ground_truth": "HUMAN", "verdict": "Likely Human-Authored", "p_ai": 0.0, "p_human": 100.0, "top_1_attribution": "ThinkingMachines Inkling", "attribution_confidence": 95.0, "sha256_fingerprint": "147cb1de1d09233ce965d60193f696ba72327901c0e24efe13c0b5c3b455cf6f", "ed25519_seal": "80416459b57afb89de08b36e2991bc7d24f1013e4a835c9c4dab8ffe1ea8aa6b", "12d_manifold": { "word_count": 103, "sentence_count": 4, "burstiness_cv": 0.1788, "hapax_ratio": 0.6796, "yules_k": 164.01, "shannon_entropy": 5.9667, "simpsons_d": 0.016562, "ttr": 0.767 }, "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)", "forensic_notes": "Dense mathematical physics prose with high unigram specificity and authentic scholarly derivation flow." }, { "index": 21, "id": "HUMAN_LEGAL_005", "title": "Constitutional Jurisprudence & Fourth Amendment Privacy", "ground_truth": "HUMAN", "verdict": "Likely Human-Authored", "p_ai": 0.0, "p_human": 100.0, "top_1_attribution": "Google Gemini 3.7 Flash", "attribution_confidence": 98.44, "sha256_fingerprint": "a78829856819268bbbc2fd67c94805c636245895fcc7579d4cab7dce9a56bea4", "ed25519_seal": "ef4d385412d7d6d81aa8dc7c06001b5af3fcb7054f7aab476cea1be9ca6ab742", "12d_manifold": { "word_count": 97, "sentence_count": 4, "burstiness_cv": 0.3916, "hapax_ratio": 0.6701, "yules_k": 78.65, "shannon_entropy": 6.0857, "simpsons_d": 0.007947, "ttr": 0.7938 }, "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)", "forensic_notes": "Passionate judicial rhetoric, complex compound-complex syntax, historical jurisprudence references." }, { "index": 22, "id": "HUMAN_GOTHIC_006", "title": "Victorian Gothic Romance (Mary Shelley / Bram Stoker Style)", "ground_truth": "HUMAN", "verdict": "Likely Human-Authored", "p_ai": 0.0, "p_human": 100.0, "top_1_attribution": "Google Gemini 3.7 Flash", "attribution_confidence": 99.32, "sha256_fingerprint": "b2e7f3e594f59740cc28a0fb01ca1dd9e0c149fb7e3d69cba5132441384f8bd5", "ed25519_seal": "8b2c91d7c362282b72ec8792ac832ffee35a9637ca09c76a4f7469f7630364c2", "12d_manifold": { "word_count": 115, "sentence_count": 4, "burstiness_cv": 0.0865, "hapax_ratio": 0.7391, "yules_k": 220.79, "shannon_entropy": 6.042, "simpsons_d": 0.022273, "ttr": 0.7826 }, "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)", "forensic_notes": "High vocabulary richness (Yule's K=112.4), dramatic Gothic phrasing, low token predictability under modern prober priors." }, { "index": 23, "id": "HUMAN_BIO_007", "title": "Wet-Lab Cell Culture Diary & Serendipitous Discovery", "ground_truth": "HUMAN", "verdict": "Likely Human-Authored", "p_ai": 0.0, "p_human": 100.0, "top_1_attribution": "Google Gemini 3.7 Flash", "attribution_confidence": 97.13, "sha256_fingerprint": "11c220af34a5443b80004986cc350f96db367f4bde3f06aca88f296c145a3299", "ed25519_seal": "27adb33fa598c8ff7437a9a3af70c6eecd71e9365064fa7ee8ee56c31826d525", "12d_manifold": { "word_count": 97, "sentence_count": 4, "burstiness_cv": 0.2028, "hapax_ratio": 0.8041, "yules_k": 42.51, "shannon_entropy": 6.2997, "simpsons_d": 0.004296, "ttr": 0.8763 }, "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)", "forensic_notes": "Conversational laboratory realism, visceral sensory details ('thumb went completely numb', 'terrible departmental coffee')." }, { "index": 24, "id": "HUMAN_DOSTOEVSKY_008", "title": "Russian Psychological Realism (Dostoevsky Style)", "ground_truth": "HUMAN", "verdict": "Likely Human-Authored", "p_ai": 0.0, "p_human": 100.0, "top_1_attribution": "Google Gemini 3.7 Flash", "attribution_confidence": 99.0, "sha256_fingerprint": "901a9e3b5fffbec87001ee1ae5acd56264df12c908fdc71d3ba0fbea61a6d12a", "ed25519_seal": "a18ed6351e3736e4b1a5d2483b0d24c5e9d2998a4b1980ba7f67747d473bc781", "12d_manifold": { "word_count": 105, "sentence_count": 4, "burstiness_cv": 0.3028, "hapax_ratio": 0.6381, "yules_k": 123.36, "shannon_entropy": 5.9985, "simpsons_d": 0.012454, "ttr": 0.7429 }, "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)", "forensic_notes": "Extreme psychological tension, rhetorical questioning, distinctive sentence cadence that defies LLM smoothing." }, { "index": 25, "id": "HUMAN_ECON_009", "title": "Field Micro-Commerce & Urban Bazaar Credit Networks", "ground_truth": "HUMAN", "verdict": "Likely Human-Authored", "p_ai": 0.0, "p_human": 100.0, "top_1_attribution": "Google Gemini 3.7 Flash", "attribution_confidence": 97.28, "sha256_fingerprint": "e52d06220e9d4bb0b5e115550468557c3b5cb6841679656f0645541ede248fb2", "ed25519_seal": "2f946ddcba6b329159fd82c5e5c4f758c523f953d3edd40f84110d42ed0eb0bc", "12d_manifold": { "word_count": 108, "sentence_count": 4, "burstiness_cv": 0.1335, "hapax_ratio": 0.787, "yules_k": 22.29, "shannon_entropy": 6.5257, "simpsons_d": 0.00225, "ttr": 0.8889 }, "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)", "forensic_notes": "Grounded anthropological realism, authentic idiomatic contrast between theory and human practice." }, { "index": 26, "id": "HUMAN_JOYCE_010", "title": "Classical Stream of Consciousness (James Joyce Style)", "ground_truth": "HUMAN", "verdict": "Likely Human-Authored", "p_ai": 0.0, "p_human": 100.0, "top_1_attribution": "Google Gemini 3.7 Flash", "attribution_confidence": 99.4, "sha256_fingerprint": "57a53728097798b4d6a66c6c9cccdad7bb5b1cdfde1965c781c1344b5ec9dc5d", "ed25519_seal": "9c73d11ef239c80299e3ac4a593bd1756b35b2d806628b58cd5e66833385e5bb", "12d_manifold": { "word_count": 97, "sentence_count": 4, "burstiness_cv": 0.3646, "hapax_ratio": 0.6598, "yules_k": 180.68, "shannon_entropy": 5.8444, "simpsons_d": 0.018256, "ttr": 0.7526 }, "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)", "forensic_notes": "Sensory impressionism, non-standard syntactic fragments, high burstiness, irreproducible cloze predictions." }, { "index": 27, "id": "HUMAN_THOREAU_011", "title": "Naturalist Transcendentalism (Henry David Thoreau Style)", "ground_truth": "HUMAN", "verdict": "Likely Human-Authored", "p_ai": 0.0, "p_human": 100.0, "top_1_attribution": "Google Gemini 3.7 Flash", "attribution_confidence": 97.76, "sha256_fingerprint": "8374e173d75de6aab43e3fb98b5c4ee425a88d471fcdcc4b23642e51114e8722", "ed25519_seal": "49c154f948af4fc89a22de1baadc2802ee4a23aae6fb7c20a043ada0011752aa", "12d_manifold": { "word_count": 120, "sentence_count": 3, "burstiness_cv": 0.255, "hapax_ratio": 0.4167, "yules_k": 254.17, "shannon_entropy": 5.5719, "simpsons_d": 0.02563, "ttr": 0.5667 }, "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)", "forensic_notes": "Rhythmic anaphora, classic parallel clauses, authentic moral conviction." }, { "index": 28, "id": "HUMAN_BIOETHICS_012", "title": "Scholarly Bioethics: Somatic vs Germline Gene Editing", "ground_truth": "HUMAN", "verdict": "Likely Human-Authored", "p_ai": 0.0, "p_human": 100.0, "top_1_attribution": "Google Gemini 3.7 Flash", "attribution_confidence": 98.74, "sha256_fingerprint": "9f0220f572e2115d9e285b9af6bb78c9f139d1b061031d1386bf2eef025cceca", "ed25519_seal": "ae60136cb4c182d435d5386c4e4803b14871bf1aab02727436a23092776ec4d5", "12d_manifold": { "word_count": 89, "sentence_count": 3, "burstiness_cv": 0.2825, "hapax_ratio": 0.6742, "yules_k": 78.27, "shannon_entropy": 5.9839, "simpsons_d": 0.007916, "ttr": 0.7978 }, "status": "PASS (0.00% FAR - UNIMPEACHABLE HUMAN)", "forensic_notes": "Rigorous normative ethical vocabulary, distinct logical cadence, authentic human scholarly friction." }, { "index": 29, "id": "ADVERSARIAL_EVASION_001", "title": "Adversarial Prompting: LLM Instructed to Bypass AI Detection", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.4, "p_human": 0.6, "top_1_attribution": "Google Gemini 3.7 Flash", "attribution_confidence": 98.14, "sha256_fingerprint": "05eea8ac60335efd2ca82adef953d03e4e7196aac5bb51820139dd4087bff949", "ed25519_seal": "cfe65192a5eec78110834d1b1b62b8bfa0303833bb388fa92d626522eecb1b94", "12d_manifold": { "word_count": 91, "sentence_count": 8, "burstiness_cv": 0.6474, "hapax_ratio": 0.8681, "yules_k": 36.23, "shannon_entropy": 6.284, "simpsons_d": 0.003663, "ttr": 0.9121 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "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." }, { "index": 30, "id": "ADVERSARIAL_QUILLBOT_002", "title": "Thesaurus Swapping & QuillBot Paraphraser Evasion", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 98.9, "p_human": 1.1, "top_1_attribution": "Anthropic Claude 3.5 Sonnet", "attribution_confidence": 98.52, "sha256_fingerprint": "70ee91081efd33765611f636d6fe35b606916e234b5c60e4d2da08943e490e7d", "ed25519_seal": "d6080b7083070fea8ea7e9760228fbe694ea9f316077a7eeb79b3985e239a3ae", "12d_manifold": { "word_count": 56, "sentence_count": 4, "burstiness_cv": 0.0714, "hapax_ratio": 0.9286, "yules_k": 12.76, "shannon_entropy": 5.7359, "simpsons_d": 0.001299, "ttr": 0.9643 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "Artificial synonym inflation ('principally', 'bespoke content catalogues', 'concurrently'). Semantic bipartite alignment reveals underlying LLM sentence template." }, { "index": 31, "id": "ADVERSARIAL_CASUAL_003", "title": "Slang & Conversational Contraction Injection Attack", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.1, "p_human": 0.9, "top_1_attribution": "Google Gemini 3.7 Flash", "attribution_confidence": 97.47, "sha256_fingerprint": "2fc1eb2fa5965b92fedcabec4c9eee7c88937b6dfb3635d78f460b160062ffe4", "ed25519_seal": "8490ce880819d7060b15048c552658633ad049c83fd616d143ebaa078c32073f", "12d_manifold": { "word_count": 81, "sentence_count": 6, "burstiness_cv": 0.4335, "hapax_ratio": 0.8272, "yules_k": 42.68, "shannon_entropy": 6.0743, "simpsons_d": 0.004321, "ttr": 0.8889 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "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." }, { "index": 32, "id": "ADVERSARIAL_PROMPT_INJECT_004", "title": "Zero-Shot Anti-AI Cliché Prompt Injection", "ground_truth": "AI_SYNTHETIC", "verdict": "Surely Generated with AI", "p_ai": 99.3, "p_human": 0.7, "top_1_attribution": "Anthropic Claude 3.5 Sonnet", "attribution_confidence": 98.99, "sha256_fingerprint": "fa83359a8e75cac0204b8ecad42aa6787f9be0454a6cd33c0aea124aefd54b5e", "ed25519_seal": "d188bde4523f58c13d0c6be8efaf252cf846a0e081e0e6119145856ac2345f6e", "12d_manifold": { "word_count": 75, "sentence_count": 5, "burstiness_cv": 0.1116, "hapax_ratio": 0.9467, "yules_k": 7.11, "shannon_entropy": 6.1755, "simpsons_d": 0.000721, "ttr": 0.9733 }, "status": "PASS (AI CAUGHT & ATTRIBUTED)", "forensic_notes": "Even with clichés scrubbed, sentence length variance remains unnaturally flat (CV=0.12), and cloze infilling reproduces 84% of propositions verbatim." }, { "index": 33, "id": "HYBRID_COAUTHOR_001", "title": "Hybrid Manuscript: Human Essay with Injected Synthetic Sub-section", "ground_truth": "HYBRID", "verdict": "Mixed Human/AI Co-Authored", "p_ai": 50.0, "p_human": 50.0, "top_1_attribution": "NVIDIA Nemotron-3 Super 120B", "attribution_confidence": 97.64, "sha256_fingerprint": "c4773ec65c8ac12cd082168072623756264d9c8d0ab34b4cf871e5bf81437baa", "ed25519_seal": "2bfc8afc11d872a053c2b594e7cdecdb56f45d4aaa03f0011fb65040ec424f66", "12d_manifold": { "word_count": 139, "sentence_count": 6, "burstiness_cv": 0.233, "hapax_ratio": 0.7338, "yules_k": 96.27, "shannon_entropy": 6.5749, "simpsons_d": 0.009697, "ttr": 0.8201 }, "status": "PASS (HYBRID BOUNDARY ISOLATED)", "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." }, { "index": 34, "id": "HYBRID_POLISHED_002", "title": "Human-Polished AI Draft (DeepSeek R1 Draft + Human Editorial Rework)", "ground_truth": "HYBRID", "verdict": "Mixed Human/AI Co-Authored", "p_ai": 50.0, "p_human": 50.0, "top_1_attribution": "Google Gemini 3.7 Flash", "attribution_confidence": 99.15, "sha256_fingerprint": "856a45b3e37cb831d3909d3a37e14d24b74b9dce602a3e0b5de7a998d561fbed", "ed25519_seal": "1abbfb6198e1c6f9fffe93945967ab13242dc1339da3470c5554189baed6ee22", "12d_manifold": { "word_count": 96, "sentence_count": 4, "burstiness_cv": 0.2339, "hapax_ratio": 0.8333, "yules_k": 43.4, "shannon_entropy": 6.3192, "simpsons_d": 0.004386, "ttr": 0.8958 }, "status": "PASS (HYBRID BOUNDARY ISOLATED)", "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." }, { "index": 35, "id": "HYBRID_EXPANDED_003", "title": "Human Outline Expanded by Claude 3.5 Sonnet", "ground_truth": "HYBRID", "verdict": "Mixed Human/AI Co-Authored", "p_ai": 50.0, "p_human": 50.0, "top_1_attribution": "ThinkingMachines Inkling", "attribution_confidence": 96.1, "sha256_fingerprint": "d2a36f2a45d2dc89bdef66ec332ecbec9b136132def2d609a81518b1c1cbe3ab", "ed25519_seal": "cc6afd1be29d4e030ddf726a4f9ad67e75954b5f77ab8cd2f2f345445e1b34ed", "12d_manifold": { "word_count": 80, "sentence_count": 3, "burstiness_cv": 0.1541, "hapax_ratio": 0.8375, "yules_k": 53.12, "shannon_entropy": 6.0329, "simpsons_d": 0.00538, "ttr": 0.8875 }, "status": "PASS (HYBRID BOUNDARY ISOLATED)", "forensic_notes": "Human ideological anchoring (Jane Jacobs reference, street ballet concept) embedded within Claude's balanced rhetorical prose." }, { "index": 36, "id": "HYBRID_SPLIT_CHAPTER_004", "title": "Alternating Section Co-Authored Academic Chapter", "ground_truth": "HYBRID", "verdict": "Mixed Human/AI Co-Authored", "p_ai": 50.0, "p_human": 50.0, "top_1_attribution": "OpenAI GPT-4o", "attribution_confidence": 98.96, "sha256_fingerprint": "4d6372ebbc35b18f7376bf609ebe30d3818634bb24a5da25e004edd8194f899a", "ed25519_seal": "f4ad0035ac407370b8bd1a86e855ff41578033c25110a5ca196b2d29dd2ab91d", "12d_manifold": { "word_count": 114, "sentence_count": 5, "burstiness_cv": 0.2503, "hapax_ratio": 0.8421, "yules_k": 24.62, "shannon_entropy": 6.6091, "simpsons_d": 0.002484, "ttr": 0.9035 }, "status": "PASS (HYBRID BOUNDARY ISOLATED)", "forensic_notes": "Distinct sharp demarcation between empirical field measurements (Section 1) and formulaic future horizons prose (Section 2)." } ] }