{
 "row": "data-provenance-explorer",
 "address": "data provenance explorer",
 "entity": "The Data Provenance Explorer (dataprovenance.org/data-provenance-explorer), the interactive explorer of the Data Provenance Initiative (Longpre, Mahari, Chen, Obeng-Marnu and others), released with the founding audit of 1800+ text datasets (arXiv:2310.16787, 25 October 2023) and now a Dataset Explorer of nearly 4,000 text, speech and video datasets beside a Web Data (consent) Explorer from Consent in Crisis (arXiv:2407.14933, 20 July 2024); formalized in the MMRS meta-aggregator record of 2026-10-28 (corrected 2026-10-29)",
 "procedure": "EA-NEGONT-02 v0.7 §3.4 (D/R/O), working; not frozen",
 "config": {
  "row": "data-provenance-explorer",
  "address": "data provenance explorer",
  "entity": "The Data Provenance Explorer (dataprovenance.org/data-provenance-explorer), the interactive explorer of the Data Provenance Initiative (Longpre, Mahari, Chen, Obeng-Marnu and others), released with the founding audit of 1800+ text datasets (arXiv:2310.16787, 25 October 2023) and now a Dataset Explorer of nearly 4,000 text, speech and video datasets beside a Web Data (consent) Explorer from Consent in Crisis (arXiv:2407.14933, 20 July 2024); formalized in the MMRS meta-aggregator record of 2026-10-28 (corrected 2026-10-29)",
  "row_type": "C (a public entity on which the archive bears: a database and its explorer tool; an entity of the MMRS meta-aggregator)",
  "aliases": [
   {
    "pattern": "\\bData Provenance Explorers?\\b",
    "flags": "i"
   },
   {
    "pattern": "\\bData Provenance Initiative\\b",
    "flags": "i"
   },
   {
    "pattern": "\\bDPI Explorer\\b",
    "flags": ""
   },
   {
    "pattern": "\\bdataprovenance\\.org\\b",
    "flags": "i"
   },
   {
    "pattern": "\\bData-Provenance-(Collection|Initiative)\\b",
    "flags": "i"
   },
   {
    "pattern": "\\bConsent in Crisis\\b",
    "flags": "i"
   },
   {
    "pattern": "\\b(2310\\.16787|2407\\.14933)\\b",
    "flags": ""
   }
  ],
  "classes": [
   {
    "term": "training-data provenance and licensing audits",
    "pattern": "\\b(training[- ](data|corpus|dataset)s?[- ](provenance|licens\\w*|audits?)|dataset (licens\\w*|provenance|audits?)|(corpus|corpora) licens\\w*)\\b",
    "flags": "i",
    "basis": "field: B7 (arXiv:2310.16787, Abstract: 'systematically audit and trace 1800+ text datasets ... We develop tools and standards to trace the lineage of these datasets'); B3 (dataprovenance.org, home: 'Training Data Provenance' / 'Dataset audits' / 'Trace the sources, licenses, creators, languages, geographies, and derivation chains behind public AI training datasets.'); B6 (Cohere, ¶2: 'audit and trace nearly 2,000 of the most widely used fine-tuning datasets')"
   }
  ],
  "classes_note": "One class, sourced from the field by locus: the Explorer as the instrument of training-data provenance and licensing audits (B7, B3, B6). The aliases are the entity's name (singular and the MIT card's plural), its operator's name, the abbreviation the Initiative's own pages use for the tool ('DPI Explorer'; bare 'DPI' is not an alias, since in the archive it is #261's distinction preservation index), its domain, its GitHub organisation and repository, and its operators' two papers by title and arXiv number. 'Consent in Crisis' and the arXiv numbers return citations of the papers; following the task's ruling, a candidate is admitted at D only where the Initiative or its Explorer is named. Admission by reading (§3.4): a candidate is admitted when its sentence or paragraph makes a claim bearing on the Initiative or the Explorer (what it records, what its audits found, what it does not address, its place among provenance instruments); a citation-list entry, a bare 'external anchors' listing or a reference line is not a claim. O-class admits a sentence that applies an archive category (semantic provenance, the Provenance Erasure Rate, the training layer against the synthesis or composition layer) to training-data provenance and licensing audits as a class.",
  "exclude_deposits": [],
  "notes": "entity-keyed pass, 2026-10-29, on the brief rebuild/negative-of-the-negative/v09/BRIEF-NEW-ROW-AGGREGATOR.md; address 'data provenance explorer' (data-provenance-explorer-aio-20261029, OBS-dc0adc018f10, ADDR-6e5a719fee75), Google AI Overview (expanded), signed out, incognito. The archive's own records of the entity (the Capture Registry's findings and analysis at the capture, the MMRS meta-aggregator record) are ledgered beside the deposits as CAP-1-NN and MMRS-NN. Second pass: one citation hop forward and back from the deposits admitted by reading (#95, #98, #121, #623, #725, #1003, #1188, #1190, #1194, #1714).",
  "hop_from": [
   95,
   98,
   121,
   623,
   725,
   1003,
   1188,
   1190,
   1194,
   1714
  ]
 },
 "texts_scanned": 1711,
 "counts": {
  "D_sentences": 35,
  "D_deposits": 8,
  "R_sentences": 5,
  "R_deposits": 2,
  "O_direct": 18,
  "O_class": 9,
  "O_deposits": 9,
  "H_candidates": 73
 },
 "per_deposit": {
  "D": {
   "98": 3,
   "121": 1,
   "725": 11,
   "726": 2,
   "1003": 1,
   "1190": 13,
   "1194": 1,
   "1714": 3
  },
  "R": {
   "725": 2,
   "1190": 3
  },
  "O": {
   "73": 1,
   "98": 1,
   "121": 1,
   "623": 1,
   "725": 9,
   "1003": 1,
   "1190": 11,
   "1194": 1,
   "1334": 1
  }
 },
 "registry_entity_triples": [
  {
   "dep": 121,
   "triple": {
    "subject": "Provenance and attribution studies",
    "predicate": "minted_in",
    "object": "AI-Native Intellectual Biography A New Genre of AI-Mediated ",
    "type": "concept",
    "evidence_status": "observed",
    "note": "in digital environments — C2PA, the Data Provenance Initiative, W3C PROV — have focused on attributi"
   }
  }
 ],
 "integrity_S5": [],
 "sha256": {
  "candidates-D.jsonl": "8181731ab96e8d2145fdd580e5f5d63223a0c731425e5d7e1cd1291c38a82fc2",
  "candidates-R.jsonl": "47544b4fb2da8d1d4f89b5d145551696a7264f7634a8814f7bdf001ec7f01655",
  "candidates-O.jsonl": "3d8e92ef9faff1c6e359f9e6114350fe985c9e10a3fcb305cf1d74fbb06669ec",
  "candidates-H.jsonl": "721e2cfa78e9ca9fc463404d36b839a2f021b5a15440c164dde86d00ee0233d2"
 },
 "category_vocabulary": {
  "defines_concepts_and_lexical_mints": 11067
 },
 "note": "Candidates by string only. Admission by reading, recorded in the row's reading file; nothing here is admitted."
}