Datasets:
Modalities:
Text
Formats:
text
Languages:
English
Size:
< 1K
Tags:
ai-text-detection
forensic-fingerprinting
stylometrics
cloze-congruence
model-provenance
ed25519-seal
License:
Upload ISO/IEC 27037 forensic fingerprint trail (JSON)
Browse files
FORENSIC_PROVABLE_FINGERPRINTING_TRAIL.json
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| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"timestamp": "2026-09-10T22:13:22Z",
|
| 4 |
+
"total_samples": 36,
|
| 5 |
+
"pass_rate_pct": 100.0,
|
| 6 |
+
"false_accusation_rate_pct": 0.0,
|
| 7 |
+
"frontier_attribution_recall_pct": 100.0,
|
| 8 |
+
"standard": "ISO/IEC 27037 Digital Forensics Evidence Trail"
|
| 9 |
+
},
|
| 10 |
+
"forensic_trail": [
|
| 11 |
+
{
|
| 12 |
+
"index": 1,
|
| 13 |
+
"id": "AI_GPT4O_001",
|
| 14 |
+
"title": "Frontier AI Generation: OpenAI GPT-4o",
|
| 15 |
+
"ground_truth": "AI_SYNTHETIC",
|
| 16 |
+
"verdict": "Surely Generated with AI",
|
| 17 |
+
"p_ai": 99.85,
|
| 18 |
+
"p_human": 0.15,
|
| 19 |
+
"top_1_attribution": "OpenAI GPT-4o",
|
| 20 |
+
"attribution_confidence": 99.4,
|
| 21 |
+
"sha256_fingerprint": "2db7c4e01da21dbf32e64e7a646e433334901d5175e242c21392f12e1c64f52a",
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| 22 |
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"ed25519_seal": "7263fcb9bb5e98476e953c7969e0644f3137bfdc1f32da42d7e8924bbef28749",
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| 23 |
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"12d_manifold": {
|
| 24 |
+
"word_count": 91,
|
| 25 |
+
"sentence_count": 5,
|
| 26 |
+
"burstiness_cv": 0.1173,
|
| 27 |
+
"hapax_ratio": 0.7912,
|
| 28 |
+
"yules_k": 45.89,
|
| 29 |
+
"shannon_entropy": 6.1918,
|
| 30 |
+
"simpsons_d": 0.00464,
|
| 31 |
+
"ttr": 0.8681
|
| 32 |
+
},
|
| 33 |
+
"status": "PASS (AI CAUGHT & ATTRIBUTED)",
|
| 34 |
+
"forensic_notes": "Classic GPT-4o signature: 'Furthermore', 'At their core', 'Ultimately', symmetrical paragraph cadence, deterministic cloze infill collapse."
|
| 35 |
+
},
|
| 36 |
+
{
|
| 37 |
+
"index": 2,
|
| 38 |
+
"id": "AI_GPT4OMINI_002",
|
| 39 |
+
"title": "Frontier AI Generation: OpenAI GPT-4o-mini",
|
| 40 |
+
"ground_truth": "AI_SYNTHETIC",
|
| 41 |
+
"verdict": "Surely Generated with AI",
|
| 42 |
+
"p_ai": 99.7,
|
| 43 |
+
"p_human": 0.3,
|
| 44 |
+
"top_1_attribution": "OpenAI GPT-4o-mini",
|
| 45 |
+
"attribution_confidence": 98.6,
|
| 46 |
+
"sha256_fingerprint": "829218fcdee6f475b2e048df89d07c38ed584473620e3c316a1241125af44dd9",
|
| 47 |
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"ed25519_seal": "646ff534dce62b73d950330ea52cd707c23b3d5b1fd356c619b49ef34462fb0f",
|
| 48 |
+
"12d_manifold": {
|
| 49 |
+
"word_count": 68,
|
| 50 |
+
"sentence_count": 4,
|
| 51 |
+
"burstiness_cv": 0.1995,
|
| 52 |
+
"hapax_ratio": 0.8824,
|
| 53 |
+
"yules_k": 17.3,
|
| 54 |
+
"shannon_entropy": 5.9698,
|
| 55 |
+
"simpsons_d": 0.001756,
|
| 56 |
+
"ttr": 0.9412
|
| 57 |
+
},
|
| 58 |
+
"status": "PASS (AI CAUGHT & ATTRIBUTED)",
|
| 59 |
+
"forensic_notes": "GPT-4o-mini footprint: Concisely balanced syntactic clauses, 'Additionally', 'In conclusion', smooth low-entropy transition markers."
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"index": 3,
|
| 63 |
+
"id": "AI_O1PREVIEW_003",
|
| 64 |
+
"title": "Frontier AI Generation: OpenAI o1 / o3-mini (Test-Time Reasoning)",
|
| 65 |
+
"ground_truth": "AI_SYNTHETIC",
|
| 66 |
+
"verdict": "Surely Generated with AI",
|
| 67 |
+
"p_ai": 99.9,
|
| 68 |
+
"p_human": 0.1,
|
| 69 |
+
"top_1_attribution": "OpenAI o1-preview",
|
| 70 |
+
"attribution_confidence": 99.5,
|
| 71 |
+
"sha256_fingerprint": "feb63d60c8d7ab02bf7f93ecff856111452339c83c0bcfc5e7b512ebe46a5866",
|
| 72 |
+
"ed25519_seal": "16d3a0c5fb3823bc9ef9b7af3ec8ef552a4cc5a6b0d68607e23403529892bdb0",
|
| 73 |
+
"12d_manifold": {
|
| 74 |
+
"word_count": 100,
|
| 75 |
+
"sentence_count": 8,
|
| 76 |
+
"burstiness_cv": 0.7419,
|
| 77 |
+
"hapax_ratio": 0.5,
|
| 78 |
+
"yules_k": 178.0,
|
| 79 |
+
"shannon_entropy": 5.667,
|
| 80 |
+
"simpsons_d": 0.01798,
|
| 81 |
+
"ttr": 0.65
|
| 82 |
+
},
|
| 83 |
+
"status": "PASS (AI CAUGHT & ATTRIBUTED)",
|
| 84 |
+
"forensic_notes": "o1 reasoning signature: Rigorous deductive chaining ('To establish...', 'Let...', 'Because...', 'immediately establishes that...'), invariant cloze infill alignment across mathematical steps."
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"index": 4,
|
| 88 |
+
"id": "AI_CLAUDE35_004",
|
| 89 |
+
"title": "Frontier AI Generation: Anthropic Claude 3.5 Sonnet",
|
| 90 |
+
"ground_truth": "AI_SYNTHETIC",
|
| 91 |
+
"verdict": "Surely Generated with AI",
|
| 92 |
+
"p_ai": 99.9,
|
| 93 |
+
"p_human": 0.1,
|
| 94 |
+
"top_1_attribution": "Anthropic Claude 3.5 Sonnet",
|
| 95 |
+
"attribution_confidence": 99.1,
|
| 96 |
+
"sha256_fingerprint": "59004a43a8c7153164f6b8df1cfb2fdc9bcd260bd1e636b90367e294aa4a2468",
|
| 97 |
+
"ed25519_seal": "8aef631149408d20c0a925d7ff74d3be71d26f42f5fcb6d3f234ed0df0d70b9b",
|
| 98 |
+
"12d_manifold": {
|
| 99 |
+
"word_count": 97,
|
| 100 |
+
"sentence_count": 4,
|
| 101 |
+
"burstiness_cv": 0.2663,
|
| 102 |
+
"hapax_ratio": 0.8763,
|
| 103 |
+
"yules_k": 31.88,
|
| 104 |
+
"shannon_entropy": 6.39,
|
| 105 |
+
"simpsons_d": 0.003222,
|
| 106 |
+
"ttr": 0.9175
|
| 107 |
+
},
|
| 108 |
+
"status": "PASS (AI CAUGHT & ATTRIBUTED)",
|
| 109 |
+
"forensic_notes": "Claude 3.5 Sonnet DNA: 'it is worth disentangling', 'quiet tension', nuanced epistemic hedging, sociotechnical framing, lower conjunction entropy."
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"index": 5,
|
| 113 |
+
"id": "AI_CLAUDE37_005",
|
| 114 |
+
"title": "Frontier AI Generation: Anthropic Claude 3.7 Sonnet (Hybrid Reasoning)",
|
| 115 |
+
"ground_truth": "AI_SYNTHETIC",
|
| 116 |
+
"verdict": "Surely Generated with AI",
|
| 117 |
+
"p_ai": 99.92,
|
| 118 |
+
"p_human": 0.08,
|
| 119 |
+
"top_1_attribution": "Anthropic Claude 3.7 Sonnet",
|
| 120 |
+
"attribution_confidence": 99.3,
|
| 121 |
+
"sha256_fingerprint": "b5399125ec93a2340c6a206b137d502272a504e13db75dbf0304ef266e4a9989",
|
| 122 |
+
"ed25519_seal": "5220f7bc3ead1f42c7608a7a5b90df1961a3bcb395e882432836d524a4249a23",
|
| 123 |
+
"12d_manifold": {
|
| 124 |
+
"word_count": 72,
|
| 125 |
+
"sentence_count": 4,
|
| 126 |
+
"burstiness_cv": 0.1361,
|
| 127 |
+
"hapax_ratio": 0.8472,
|
| 128 |
+
"yules_k": 27.01,
|
| 129 |
+
"shannon_entropy": 5.9928,
|
| 130 |
+
"simpsons_d": 0.002739,
|
| 131 |
+
"ttr": 0.9167
|
| 132 |
+
},
|
| 133 |
+
"status": "PASS (AI CAUGHT & ATTRIBUTED)",
|
| 134 |
+
"forensic_notes": "Claude 3.7 Sonnet signature: 'Crucially', analytical contrast ('illusory precision rather than genuine epistemic calibration'), high syntactic precision."
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"index": 6,
|
| 138 |
+
"id": "AI_CLAUDE3OPUS_006",
|
| 139 |
+
"title": "Frontier AI Generation: Anthropic Claude 3 Opus",
|
| 140 |
+
"ground_truth": "AI_SYNTHETIC",
|
| 141 |
+
"verdict": "Surely Generated with AI",
|
| 142 |
+
"p_ai": 99.8,
|
| 143 |
+
"p_human": 0.2,
|
| 144 |
+
"top_1_attribution": "Anthropic Claude 3 Opus",
|
| 145 |
+
"attribution_confidence": 98.9,
|
| 146 |
+
"sha256_fingerprint": "63d058b5dc91a9e7efbfecdfbf5ef11964ffab88763edcb362d59116d5eaf961",
|
| 147 |
+
"ed25519_seal": "9ee5f8049aa87ceec6ca49e657e8532c18fae3a7d37ec4297ad214354555fe87",
|
| 148 |
+
"12d_manifold": {
|
| 149 |
+
"word_count": 78,
|
| 150 |
+
"sentence_count": 4,
|
| 151 |
+
"burstiness_cv": 0.0769,
|
| 152 |
+
"hapax_ratio": 0.7179,
|
| 153 |
+
"yules_k": 59.17,
|
| 154 |
+
"shannon_entropy": 5.9071,
|
| 155 |
+
"simpsons_d": 0.005994,
|
| 156 |
+
"ttr": 0.8333
|
| 157 |
+
},
|
| 158 |
+
"status": "PASS (AI CAUGHT & ATTRIBUTED)",
|
| 159 |
+
"forensic_notes": "Claude Opus DNA: Contemplative intellectual vocabulary ('crucible for thought', 'existential vulnerability', 'immaculate in form'), philosophical cadence."
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"index": 7,
|
| 163 |
+
"id": "AI_GEMINI25_007",
|
| 164 |
+
"title": "Frontier AI Generation: Google Gemini 2.5 Pro",
|
| 165 |
+
"ground_truth": "AI_SYNTHETIC",
|
| 166 |
+
"verdict": "Surely Generated with AI",
|
| 167 |
+
"p_ai": 99.65,
|
| 168 |
+
"p_human": 0.35,
|
| 169 |
+
"top_1_attribution": "Google Gemini 2.5",
|
| 170 |
+
"attribution_confidence": 98.9,
|
| 171 |
+
"sha256_fingerprint": "a0c137b1a78acdf65ec5629c6bb7a7a38ab11636b1d9b83ab61a45fc684b395f",
|
| 172 |
+
"ed25519_seal": "ff6fcc8498009dfac7df49a4c8d54951391f511163f7e9d3e440cd482ed9808d",
|
| 173 |
+
"12d_manifold": {
|
| 174 |
+
"word_count": 81,
|
| 175 |
+
"sentence_count": 5,
|
| 176 |
+
"burstiness_cv": 0.2744,
|
| 177 |
+
"hapax_ratio": 0.8148,
|
| 178 |
+
"yules_k": 36.58,
|
| 179 |
+
"shannon_entropy": 6.0897,
|
| 180 |
+
"simpsons_d": 0.003704,
|
| 181 |
+
"ttr": 0.8889
|
| 182 |
+
},
|
| 183 |
+
"status": "PASS (AI CAUGHT & ATTRIBUTED)",
|
| 184 |
+
"forensic_notes": "Gemini DNA: Direct taxonomy, 'operate as the primary', multi-task ranking references, high clarity, distinctive blank-infill attractor."
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"index": 8,
|
| 188 |
+
"id": "AI_GEMINI20_008",
|
| 189 |
+
"title": "Frontier AI Generation: Google Gemini 2.0 Flash",
|
| 190 |
+
"ground_truth": "AI_SYNTHETIC",
|
| 191 |
+
"verdict": "Surely Generated with AI",
|
| 192 |
+
"p_ai": 99.6,
|
| 193 |
+
"p_human": 0.4,
|
| 194 |
+
"top_1_attribution": "Google Gemini 2.0 Flash",
|
| 195 |
+
"attribution_confidence": 98.7,
|
| 196 |
+
"sha256_fingerprint": "8dffe5884c0d023413e27c8bf505c3ce98bc04b53d63eeca5d23be054b95b108",
|
| 197 |
+
"ed25519_seal": "dc1952ddd67a924c911be60850e003a55235a99417938e62875727cf3c6f266f",
|
| 198 |
+
"12d_manifold": {
|
| 199 |
+
"word_count": 68,
|
| 200 |
+
"sentence_count": 4,
|
| 201 |
+
"burstiness_cv": 0.1248,
|
| 202 |
+
"hapax_ratio": 0.9118,
|
| 203 |
+
"yules_k": 12.98,
|
| 204 |
+
"shannon_entropy": 5.9992,
|
| 205 |
+
"simpsons_d": 0.001317,
|
| 206 |
+
"ttr": 0.9559
|
| 207 |
+
},
|
| 208 |
+
"status": "PASS (AI CAUGHT & ATTRIBUTED)",
|
| 209 |
+
"forensic_notes": "Gemini Flash markers: Efficient declarative bullet-like pacing, 'Furthermore', technical telemetry phrasing, deterministic cloze infilling."
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"index": 9,
|
| 213 |
+
"id": "AI_GEMINI15_009",
|
| 214 |
+
"title": "Frontier AI Generation: Google Gemini 1.5 Pro",
|
| 215 |
+
"ground_truth": "AI_SYNTHETIC",
|
| 216 |
+
"verdict": "Surely Generated with AI",
|
| 217 |
+
"p_ai": 99.7,
|
| 218 |
+
"p_human": 0.3,
|
| 219 |
+
"top_1_attribution": "Google Gemini 1.5 Pro",
|
| 220 |
+
"attribution_confidence": 98.8,
|
| 221 |
+
"sha256_fingerprint": "8311cd381f256a9c2d1affffe7e66e47356e198bd20401b62e253266070538cd",
|
| 222 |
+
"ed25519_seal": "b684ec5954f49c8ecb4070d259380f10e6daf6afacd9cc67da692f575455f698",
|
| 223 |
+
"12d_manifold": {
|
| 224 |
+
"word_count": 68,
|
| 225 |
+
"sentence_count": 4,
|
| 226 |
+
"burstiness_cv": 0.208,
|
| 227 |
+
"hapax_ratio": 0.9265,
|
| 228 |
+
"yules_k": 17.3,
|
| 229 |
+
"shannon_entropy": 5.9881,
|
| 230 |
+
"simpsons_d": 0.001756,
|
| 231 |
+
"ttr": 0.9559
|
| 232 |
+
},
|
| 233 |
+
"status": "PASS (AI CAUGHT & ATTRIBUTED)",
|
| 234 |
+
"forensic_notes": "Gemini 1.5 signature: 'Consequently', 'Nevertheless', long-context retrieval terminology, smooth semantic transitions."
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"index": 10,
|
| 238 |
+
"id": "AI_DEEPSEEKR1_010",
|
| 239 |
+
"title": "Frontier AI Generation: DeepSeek R1 (Reasoning Architecture)",
|
| 240 |
+
"ground_truth": "AI_SYNTHETIC",
|
| 241 |
+
"verdict": "Surely Generated with AI",
|
| 242 |
+
"p_ai": 99.75,
|
| 243 |
+
"p_human": 0.25,
|
| 244 |
+
"top_1_attribution": "DeepSeek R1",
|
| 245 |
+
"attribution_confidence": 99.2,
|
| 246 |
+
"sha256_fingerprint": "89b77d6965fa123449d5235ca6340c6770b38ee421bba4adf5ce1e0cc4665ed3",
|
| 247 |
+
"ed25519_seal": "8d913f659ec351bc61cd53e55c719a19a7f0e0009029acf41c8fd2c9092c7f4d",
|
| 248 |
+
"12d_manifold": {
|
| 249 |
+
"word_count": 92,
|
| 250 |
+
"sentence_count": 6,
|
| 251 |
+
"burstiness_cv": 0.6353,
|
| 252 |
+
"hapax_ratio": 0.8152,
|
| 253 |
+
"yules_k": 61.44,
|
| 254 |
+
"shannon_entropy": 6.2013,
|
| 255 |
+
"simpsons_d": 0.006211,
|
| 256 |
+
"ttr": 0.8804
|
| 257 |
+
},
|
| 258 |
+
"status": "PASS (AI CAUGHT & ATTRIBUTED)",
|
| 259 |
+
"forensic_notes": "DeepSeek R1 DNA: Dialectical decomposition ('To understand... we must first break down'), mathematical/causal phrasing ('loss formulation layer', 'Consequently', 'Therefore')."
|
| 260 |
+
},
|
| 261 |
+
{
|
| 262 |
+
"index": 11,
|
| 263 |
+
"id": "AI_DEEPSEEKV3_011",
|
| 264 |
+
"title": "Frontier AI Generation: DeepSeek V3 (671B MoE)",
|
| 265 |
+
"ground_truth": "AI_SYNTHETIC",
|
| 266 |
+
"verdict": "Surely Generated with AI",
|
| 267 |
+
"p_ai": 99.72,
|
| 268 |
+
"p_human": 0.28,
|
| 269 |
+
"top_1_attribution": "DeepSeek V3",
|
| 270 |
+
"attribution_confidence": 99.0,
|
| 271 |
+
"sha256_fingerprint": "9c74045a4bada1c4ccb82e9f760bb7d08b7704d6db81e1565ec031751a3b7b63",
|
| 272 |
+
"ed25519_seal": "49f8e342ffceec391bc2ff3418a31a7785c07366f9499929cbe19d75f88d256a",
|
| 273 |
+
"12d_manifold": {
|
| 274 |
+
"word_count": 69,
|
| 275 |
+
"sentence_count": 4,
|
| 276 |
+
"burstiness_cv": 0.2506,
|
| 277 |
+
"hapax_ratio": 0.8841,
|
| 278 |
+
"yules_k": 16.8,
|
| 279 |
+
"shannon_entropy": 5.9926,
|
| 280 |
+
"simpsons_d": 0.001705,
|
| 281 |
+
"ttr": 0.942
|
| 282 |
+
},
|
| 283 |
+
"status": "PASS (AI CAUGHT & ATTRIBUTED)",
|
| 284 |
+
"forensic_notes": "DeepSeek V3 signature: Technical hardware-aware descriptions, 'Moreover', 'This structural efficiency proves that...', distinct 12D manifold balance."
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"index": 12,
|
| 288 |
+
"id": "AI_LLAMA33_012",
|
| 289 |
+
"title": "Frontier AI Generation: Meta Llama 3.3 70B Instruct",
|
| 290 |
+
"ground_truth": "AI_SYNTHETIC",
|
| 291 |
+
"verdict": "Surely Generated with AI",
|
| 292 |
+
"p_ai": 99.65,
|
| 293 |
+
"p_human": 0.35,
|
| 294 |
+
"top_1_attribution": "Meta Llama 3.3 70B",
|
| 295 |
+
"attribution_confidence": 98.8,
|
| 296 |
+
"sha256_fingerprint": "bba0ac0b94b576634933e693a6ff8cbb1193ca324d313331576afdb254878407",
|
| 297 |
+
"ed25519_seal": "5e8fbb0862842d070ab8aeef58daa51aea56dd0d96e48f4ec4957049180cd3a7",
|
| 298 |
+
"12d_manifold": {
|
| 299 |
+
"word_count": 78,
|
| 300 |
+
"sentence_count": 5,
|
| 301 |
+
"burstiness_cv": 0.2583,
|
| 302 |
+
"hapax_ratio": 0.8205,
|
| 303 |
+
"yules_k": 32.87,
|
| 304 |
+
"shannon_entropy": 6.0609,
|
| 305 |
+
"simpsons_d": 0.00333,
|
| 306 |
+
"ttr": 0.8974
|
| 307 |
+
},
|
| 308 |
+
"status": "PASS (AI CAUGHT & ATTRIBUTED)",
|
| 309 |
+
"forensic_notes": "Llama 3.3 DNA: Balanced paragraph structure, 'Furthermore', 'As open-source models continue to advance...', high syntactic symmetry."
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"index": 13,
|
| 313 |
+
"id": "AI_LLAMA31_013",
|
| 314 |
+
"title": "Frontier AI Generation: Meta Llama 3.1 405B",
|
| 315 |
+
"ground_truth": "AI_SYNTHETIC",
|
| 316 |
+
"verdict": "Surely Generated with AI",
|
| 317 |
+
"p_ai": 99.82,
|
| 318 |
+
"p_human": 0.18,
|
| 319 |
+
"top_1_attribution": "Meta Llama 3.1 405B",
|
| 320 |
+
"attribution_confidence": 99.1,
|
| 321 |
+
"sha256_fingerprint": "9c807eb4e3f3755bc07faea4f8d535f209eac497dc0cd246dc419c7d7a06849c",
|
| 322 |
+
"ed25519_seal": "2eb8168bb754402ccd618bf6dc990123e14e081867683d8ed6a61b4d16b1f9aa",
|
| 323 |
+
"12d_manifold": {
|
| 324 |
+
"word_count": 80,
|
| 325 |
+
"sentence_count": 4,
|
| 326 |
+
"burstiness_cv": 0.1768,
|
| 327 |
+
"hapax_ratio": 0.7625,
|
| 328 |
+
"yules_k": 62.5,
|
| 329 |
+
"shannon_entropy": 5.9579,
|
| 330 |
+
"simpsons_d": 0.006329,
|
| 331 |
+
"ttr": 0.85
|
| 332 |
+
},
|
| 333 |
+
"status": "PASS (AI CAUGHT & ATTRIBUTED)",
|
| 334 |
+
"forensic_notes": "Llama 3.1 405B profile: High technical vocabulary density, 'Ultimately', authoritative architectural tone, low cloze divergence."
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"index": 14,
|
| 338 |
+
"id": "AI_MISTRALLARGE_014",
|
| 339 |
+
"title": "Frontier AI Generation: Mistral Large 2 (123B)",
|
| 340 |
+
"ground_truth": "AI_SYNTHETIC",
|
| 341 |
+
"verdict": "Surely Generated with AI",
|
| 342 |
+
"p_ai": 99.68,
|
| 343 |
+
"p_human": 0.32,
|
| 344 |
+
"top_1_attribution": "Mistral Large 2",
|
| 345 |
+
"attribution_confidence": 98.7,
|
| 346 |
+
"sha256_fingerprint": "02800c8d877e8b81388fcd82dc5c7d350cc900763d5eb78de265ce91163bb94e",
|
| 347 |
+
"ed25519_seal": "90d3e7a7784859a2f538eafa397b934e6ebec1db60582c96fd7832e0ff7a46a7",
|
| 348 |
+
"12d_manifold": {
|
| 349 |
+
"word_count": 70,
|
| 350 |
+
"sentence_count": 4,
|
| 351 |
+
"burstiness_cv": 0.1539,
|
| 352 |
+
"hapax_ratio": 0.9,
|
| 353 |
+
"yules_k": 20.41,
|
| 354 |
+
"shannon_entropy": 6.0042,
|
| 355 |
+
"simpsons_d": 0.00207,
|
| 356 |
+
"ttr": 0.9429
|
| 357 |
+
},
|
| 358 |
+
"status": "PASS (AI CAUGHT & ATTRIBUTED)",
|
| 359 |
+
"forensic_notes": "Mistral Large footprint: Direct declarative statements, 'Consequently', structured multilingual reasoning emphasis, clear causal sequencing."
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"index": 15,
|
| 363 |
+
"id": "AI_QWEN25_015",
|
| 364 |
+
"title": "Frontier AI Generation: Qwen 2.5 72B Instruct",
|
| 365 |
+
"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": {
|
| 774 |
+
"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 |
+
}
|