{
 "name": "MMRS meta-aggregator — census",
 "compiled": "2026-10-29",
 "rows": [
  {
   "slug": "ai-incident-database",
   "name": "AI Incident Database",
   "aka": [
    "AIID"
   ],
   "url": "https://incidentdatabase.ai/",
   "operator": "Responsible AI Collaborative",
   "founded": "2020 (described in arXiv:2011.08512, submitted 17 November 2020)",
   "kind": "database",
   "self_description": "dedicated to indexing the collective history of harms or near harms realized in the real world",
   "unit": "incident (an alleged harm or near harm event in which an AI system is implicated), with the reports that document it attached",
   "intake": "open submission; incident editors resolve submissions and maintain records",
   "item_fields": [
    "incident id and citation page (/cite/N)",
    "title",
    "date",
    "alleged deployer and developer",
    "harmed parties",
    "attached reports",
    "taxonomy classifications (CSET, GMF)",
    "variants"
   ],
   "count": {
    "value": "highest incident id seen: 1788",
    "as_of": "2026-10-28",
    "note": "ids include merged duplicates (e.g. 637, merged into 112), so the id is an upper bound on incidents"
   },
   "cadence": "continuous",
   "data_access": "weekly full snapshots (JSON, MongoDB archive, CSV; latest 2026-10-26) and a weekly Excel export of incidents with taxonomies",
   "license": "code open source; no data licence stated on the snapshots page",
   "identifiers": {
    "citation_scheme": "https://incidentdatabase.ai/cite/{N}/"
   },
   "negative_tags": [
    "NOT the OECD AI Incidents and Hazards Monitor (automated, news-derived)",
    "NOT a vulnerability database",
    "NOT a list of research papers: its unit is the event, and papers enter as reports"
   ],
   "disambiguation": [
    {
     "neighbour": "oecd-ai-incidents-monitor",
     "context": "OECD, hazard, Event Registry, daily pipeline"
    },
    {
     "neighbour": "aiaaic-repository",
     "context": "AIAAIC, controversies, algorithmic and automation"
    },
    {
     "neighbour": "mit-ai-risk-repository",
     "context": "MIT, FutureTech, risk frameworks, taxonomy of risks, AI Incident Tracker"
    },
    {
     "label": "AI Incidents, Failures & Controversies Database (Kaggle)",
     "context": "Kaggle, 32 incidents, 29 companies, 24 columns"
    },
    {
     "self": true,
     "context": "/cite/N, Responsible AI Collaborative, McGregor, incident report, variant"
    }
   ],
   "sources": {
    "incidentdatabase.ai": {
     "url": "https://incidentdatabase.ai/",
     "read": "2026-10-28",
     "for": "self-description, highest id"
    },
    "incidentdatabase.ai/about": {
     "url": "https://incidentdatabase.ai/about/",
     "read": "2026-10-28",
     "for": "operator, editors, sponsors, taxonomies"
    },
    "incidentdatabase.ai/editors-guide": {
     "url": "https://incidentdatabase.ai/editors-guide/",
     "read": "2026-10-28",
     "for": "definitions, inclusion test"
    },
    "incidentdatabase.ai/research/snapshots": {
     "url": "https://incidentdatabase.ai/research/snapshots/",
     "read": "2026-10-28",
     "for": "snapshots, licence"
    },
    "arxiv.org/abs/2011.08512": {
     "url": "https://arxiv.org/abs/2011.08512",
     "read": "2026-10-28",
     "for": "founding paper"
    },
    "incidentdatabase.ai/cite/693": {
     "url": "https://incidentdatabase.ai/cite/693/",
     "read": "2026-10-28",
     "for": "child"
    },
    "incidentdatabase.ai/cite/637": {
     "url": "https://incidentdatabase.ai/cite/637/",
     "read": "2026-10-28",
     "for": "child"
    },
    "en.wikipedia.org/wiki/Partnership_on_AI": {
     "url": "https://en.wikipedia.org/wiki/Partnership_on_AI",
     "read": "2026-10-29",
     "for": "the redirect target and its account of the database"
    }
   },
   "unchecked": [
    "Wikidata item",
    "data licence beyond the snapshots page"
   ],
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "harm",
    "monitoring"
   ],
   "relations": [
    {
     "rel": "neighbour",
     "target": "oecd-ai-incidents-monitor"
    },
    {
     "rel": "neighbour",
     "target": "aiaaic-repository"
    },
    {
     "rel": "neighbour",
     "target": "mit-ai-risk-repository"
    },
    {
     "rel": "holding",
     "url": "https://incidentdatabase.ai/cite/693/",
     "label": "Incident 693 — Google AI Reportedly Delivering Confidently Incorrect and Harmful Information",
     "note": "alleged developer and deployer Google; 7 reports; the AI Overviews launch errors (glue on pizza, the Obama claim)",
     "dates": {
      "event": "2024-05-14",
      "inclusion": null,
      "observed": "2026-10-28"
     }
    },
    {
     "rel": "merge_example",
     "url": "https://incidentdatabase.ai/cite/637/",
     "label": "Incident 637 — duplicate, merged into Incident 112",
     "note": "the citation page is kept after the merge and points to the surviving record",
     "dates": {
      "observed": "2026-10-28"
     }
    },
    {
     "rel": "used_by",
     "target": "mit-ai-incident-tracker",
     "note": "classifies AIID reports"
    },
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/ai-incident-database-aio-20261029/",
     "label": "«ai incident database» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/what-counts-as-an-incident-in-the-ai-incident-database-aio-20261029/",
     "label": "«what counts as an incident in the ai incident database» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/ai-incident-database/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "incidentdatabase.ai/about",
     "basis": "operator"
    },
    "founded": {
     "src": "arxiv.org/abs/2011.08512",
     "basis": "operator"
    },
    "self_description": {
     "src": "incidentdatabase.ai",
     "basis": "operator"
    },
    "unit": {
     "src": "incidentdatabase.ai/editors-guide",
     "basis": "operator"
    },
    "intake": {
     "src": "incidentdatabase.ai/about",
     "basis": "operator"
    },
    "item_fields": {
     "src": "incidentdatabase.ai/cite/693",
     "basis": "observed"
    },
    "count": {
     "src": "incidentdatabase.ai",
     "basis": "observed"
    },
    "data_access": {
     "src": "incidentdatabase.ai/research/snapshots",
     "basis": "operator"
    },
    "license": {
     "src": "incidentdatabase.ai/research/snapshots",
     "basis": "observed"
    },
    "cadence": {
     "src": "incidentdatabase.ai",
     "basis": "reading"
    },
    "note": {
     "src": "en.wikipedia.org/wiki/Partnership_on_AI",
     "basis": "third-party"
    }
   },
   "properties": {
    "admission_requires_harm": {
     "value": "yes: harm or credible near harm (five-question test)",
     "src": "incidentdatabase.ai/editors-guide",
     "basis": "operator",
     "short": "yes"
    },
    "version_history": {
     "value": "weekly full snapshots",
     "src": "incidentdatabase.ai/research/snapshots",
     "basis": "operator",
     "short": "yes"
    },
    "preserves_original_outputs": {
     "value": "unknown: reports are linked; whether their texts are archived was not read",
     "src": null,
     "basis": "reading",
     "short": "unknown"
    },
    "records_attribution": {
     "value": "no field for it: attribution failure enters when it attaches to a harm event",
     "src": "incidentdatabase.ai/editors-guide",
     "basis": "reading",
     "short": "no"
    }
   },
   "battery": {
    "status": "run 2026-10-29 on Google AI Overview; results in the capture records",
    "queries": [
     "ai incident database",
     "what counts as an incident in the ai incident database"
    ],
    "checks": [
     "operator named as the Responsible AI Collaborative",
     "unit stated as the incident, with reports attached",
     "not merged with the OECD monitor or AIAAIC",
     "citation page /cite/N given"
    ]
   },
   "note": "Wikipedia has no article: 'AI Incident Database' redirects to 'Partnership on AI' (its founding sponsor), which says the database 'shifted to a new special-purpose independent non-profit in 2022' and does not name the Responsible AI Collaborative"
  },
  {
   "slug": "papers-with-code",
   "name": "Papers with Code",
   "aka": [
    "paperswithcode.com",
    "PwC"
   ],
   "url": "https://paperswithcode.com/",
   "operator": "Atlas ML (Deeptide Ltd.), majority-owned by Facebook from 13 December 2019 (later Meta)",
   "founded": "2018, by Robert Stojnic and Ross Taylor",
   "kind": "database",
   "self_description": "a free and open resource for machine learning papers and code (as reported by TechCrunch, 2020)",
   "unit": "paper, linked to its code, the tasks and datasets it reports on, and its results in benchmark tables",
   "item_fields": [
    "paper with abstract",
    "paper–code links",
    "evaluation tables",
    "methods",
    "datasets"
   ],
   "count": {
    "value": "9,327 benchmarks, 79,817 papers, 5,628 datasets (figures given by CodeSOTA)",
    "as_of": "2026-10-28"
   },
   "cadence": "ended July 2025; the data dumps had been regenerated daily",
   "data_access": "data dumps (papers with abstracts, paper–code links, evaluation tables, methods, datasets) linked from github.com/paperswithcode/paperswithcode-data, hosted on Hugging Face",
   "license": "data CC BY-SA 4.0",
   "identifiers": {
    "github": "https://github.com/paperswithcode/paperswithcode-data"
   },
   "negative_tags": [
    "paperswithcode.com is NOT live since 24 July 2025; the revival at paperswithcode.co is a separate entity",
    "NOT CodeSOTA, which uses the name in its paths",
    "NOT Hugging Face Trending Papers, its replacement",
    "its benchmark tables are NOT current state of the art"
   ],
   "disambiguation": [
    {
     "neighbour": "codesota",
     "context": "codesota.com, routing layer, /api/sota, 'a registry, not a leaderboard'"
    },
    {
     "label": "Hugging Face Trending Papers",
     "context": "huggingface.co/papers, trending papers, daily papers"
    },
    {
     "self": true,
     "context": "paperswithcode.com, Atlas ML, Stojnic, Taylor, 2018–2025, the data dumps"
    }
   ],
   "sources": {
    "techcrunch.com/2020/02/10/facebook-quietly-acquired-atlast-ml/amp": {
     "url": "https://techcrunch.com/2020/02/10/facebook-quietly-acquired-atlast-ml/amp/",
     "read": "2026-10-28",
     "for": "founders, 2018, Facebook majority ownership 13 Dec 2019"
    },
    "codesota.com/papers-with-code/shutdown": {
     "url": "https://www.codesota.com/papers-with-code/shutdown",
     "read": "2026-10-28",
     "for": "shutdown July 2025, successors (a vendor page, read as such)"
    },
    "github.com/paperswithcode/paperswithcode-data": {
     "url": "https://github.com/paperswithcode/paperswithcode-data",
     "read": "2026-10-28",
     "for": "dumps, licence"
    },
    "hyper.ai/en/news/42900": {
     "url": "https://hyper.ai/en/news/42900",
     "read": "2026-10-28",
     "for": "sunset date, announcer, replacement"
    },
    "aiweekly.co/alerts/hugging-face-revives-paperswithcode-benchmark-tracker": {
     "url": "https://aiweekly.co/alerts/hugging-face-revives-paperswithcode-benchmark-tracker",
     "read": "2026-10-28",
     "for": "revival effort (undated)"
    },
    "codesota.com/papers-with-code": {
     "url": "https://www.codesota.com/papers-with-code",
     "read": "2026-10-28",
     "for": "Papers with Code figures (a successor's report)"
    },
    "github.com/huggingface/paperswithcode": {
     "url": "https://github.com/huggingface/paperswithcode",
     "read": "2026-10-29",
     "for": "the revival's code, licence and statement of what it recreates"
    }
   },
   "unchecked": [
    "how papers entered (extraction, community editing)",
    "Meta's own notice (none found; the sunset is dated from Hugging Face's announcement)",
    "the address of Hugging Face Trending Papers (not read)",
    "Wikidata item",
    "the item counts from the dumps themselves",
    "the redirect target at the sunset, which sources give differently"
   ],
   "lifecycle": {
    "state": "ended",
    "detail": "paperswithcode.com sunset 24 July 2025; announced 25 July 2025 by Julien Chaumond, Hugging Face co-founder and CTO; its name now has a live instance, the revival at paperswithcode.co"
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "discovery"
   ],
   "relations": [
    {
     "rel": "data_dump",
     "url": "https://github.com/paperswithcode/paperswithcode-data",
     "label": "paperswithcode-data",
     "note": "five dumps (papers with abstracts, paper–code links, evaluation tables, methods, datasets); CC BY-SA; hosted on Hugging Face"
    },
    {
     "rel": "replacement_by_operator",
     "url": null,
     "label": "Hugging Face Trending Papers",
     "note": "launched by Hugging Face with Meta as the replacement; tracks popular papers with code links, without the leaderboards (hyper.ai report)"
    },
    {
     "rel": "claimed_successor",
     "target": "codesota",
     "note": "carries the name in its own paths and presents itself as the successor"
    },
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/papers-with-code-aio-20261029/",
     "label": "«papers with code» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/is-papers-with-code-still-active-aio-20261029/",
     "label": "«is papers with code still active» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "revival",
     "target": "papers-with-code-revival",
     "note": "paperswithcode.co: 'recreates the original paperswithcode.com, which Meta retired in 2025' (its README); code under Apache-2.0 in Hugging Face's GitHub organization"
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/papers-with-code/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "founded": {
     "src": "techcrunch.com/2020/02/10/facebook-quietly-acquired-atlast-ml/amp",
     "basis": "third-party"
    },
    "operator": {
     "src": "techcrunch.com/2020/02/10/facebook-quietly-acquired-atlast-ml/amp",
     "basis": "third-party"
    },
    "lifecycle": {
     "src": "hyper.ai/en/news/42900",
     "basis": "third-party"
    },
    "self_description": {
     "src": "techcrunch.com/2020/02/10/facebook-quietly-acquired-atlast-ml/amp",
     "basis": "third-party"
    },
    "item_fields": {
     "src": "github.com/paperswithcode/paperswithcode-data",
     "basis": "operator"
    },
    "data_access": {
     "src": "github.com/paperswithcode/paperswithcode-data",
     "basis": "operator"
    },
    "license": {
     "src": "github.com/paperswithcode/paperswithcode-data",
     "basis": "operator"
    },
    "cadence": {
     "src": "github.com/paperswithcode/paperswithcode-data",
     "basis": "operator"
    },
    "unit": {
     "src": "techcrunch.com/2020/02/10/facebook-quietly-acquired-atlast-ml/amp",
     "basis": "third-party"
    },
    "count": {
     "src": "codesota.com/papers-with-code",
     "basis": "third-party"
    },
    "note": {
     "src": "github.com/huggingface/paperswithcode",
     "basis": "third-party"
    }
   },
   "properties": {
    "admission_requires_harm": {
     "value": "no",
     "src": null,
     "basis": "reading",
     "short": "no"
    },
    "version_history": {
     "value": "final dumps only; regenerated daily while it ran",
     "src": "github.com/paperswithcode/paperswithcode-data",
     "basis": "operator",
     "short": "final only"
    },
    "preserves_original_outputs": {
     "value": "the dumps preserve its tables as of the end",
     "src": "github.com/paperswithcode/paperswithcode-data",
     "basis": "reading",
     "short": "yes (dumps)"
    }
   },
   "battery": {
    "status": "run 2026-10-29 on Google AI Overview; results in the capture records",
    "queries": [
     "papers with code",
     "is papers with code still active"
    ],
    "checks": [
     "status given as ended (sunset 24 July 2025)",
     "founders and owner kept apart",
     "the data dumps kept apart from the successors",
     "CodeSOTA and Trending Papers not presented as Papers with Code",
     "no current result attributed to its tables"
    ]
   },
   "note": "where users were sent at the end is reported two ways: to Hugging Face (CodeSOTA, hyper.ai) and to the GitHub repository (TIB's blog, and a Reddit thread of 6 August 2025, both cards in the capture of 2026-10-29). The revival's README states that Meta retired the original"
  },
  {
   "slug": "oecd-ai-incidents-monitor",
   "name": "OECD AI Incidents and Hazards Monitor",
   "aka": [
    "AIM",
    "AI Incidents Monitor"
   ],
   "url": "https://oecd.ai/en/incidents",
   "operator": "the OECD.AI expert group on AI incidents (OECD.AI), with the support of the Patrick J. McGovern Foundation",
   "kind": "monitor",
   "unit": "incident or hazard (an event in which an AI system leads, or could plausibly lead, to harm)",
   "intake": "automated: news articles aggregated by Event Registry; since November 2024, LLM classification (GPT-4o mini, then GPT-4o) and LLM-written metadata (o3-mini); daily",
   "count": {
    "value": "about 18,579 incidents and hazards",
    "as_of": "2026-10-28"
   },
   "cadence": "daily",
   "sources": {
    "oecd.ai/en/incidents-methodology": {
     "url": "https://oecd.ai/en/incidents-methodology",
     "read": "2026-10-28",
     "for": "method, definitions"
    },
    "oecd.ai/en/incidents": {
     "url": "https://oecd.ai/en/incidents",
     "read": "2026-10-28",
     "for": "count, self-description"
    }
   },
   "unchecked": [
    "launch date",
    "licence"
   ],
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "harm",
    "monitoring"
   ],
   "relations": [
    {
     "rel": "holding",
     "url": "https://oecd.ai/en/incidents/2025-03-11-8537",
     "label": "The Tow Center AI search citation study, filed as an incident",
     "note": "a research study entering a harm monitor as an event"
    },
    {
     "rel": "neighbour",
     "target": "ai-incident-database"
    },
    {
     "rel": "neighbour",
     "target": "aiaaic-repository"
    },
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/oecd-ai-incidents-and-hazards-monitor-aio-20261029/",
     "label": "«oecd ai incidents and hazards monitor» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/oecd-ai-incidents-monitor/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "oecd.ai/en/incidents-methodology",
     "basis": "operator"
    },
    "unit": {
     "src": "oecd.ai/en/incidents-methodology",
     "basis": "operator"
    },
    "count": {
     "src": "oecd.ai/en/incidents",
     "basis": "observed"
    },
    "intake": {
     "src": "oecd.ai/en/incidents-methodology",
     "basis": "operator"
    },
    "cadence": {
     "src": "oecd.ai/en/incidents-methodology",
     "basis": "operator"
    },
    "self_description": {
     "src": "oecd.ai/en/incidents",
     "basis": "operator"
    }
   },
   "properties": {
    "admission_requires_harm": {
     "value": "yes: an incident, or a hazard that could plausibly lead to one",
     "src": "oecd.ai/en/incidents-methodology",
     "basis": "operator",
     "short": "yes"
    },
    "preserves_original_outputs": {
     "value": "no: titles, summaries and metadata are LLM-written from the top articles",
     "short": "no",
     "src": "oecd.ai/en/incidents-methodology",
     "basis": "operator"
    }
   },
   "self_description": "Automated media discourse monitor of AI incidents and hazards (Beta)",
   "founded": "the expert group was formalised in January 2023 to develop it; LLM classification from November 2024",
   "note": "its 14 'risk themes' are an analysis of its summaries in OECD AI Papers No. 53 (February 2026), which clustered them by k-means into 25 clusters and merged them to 14"
  },
  {
   "slug": "aiaaic-repository",
   "name": "AIAAIC Repository",
   "aka": [
    "AI, Algorithmic, and Automation Incidents and Controversies"
   ],
   "url": "https://www.aiaaic.org/aiaaic-repository",
   "operator": "AIAAIC",
   "kind": "database",
   "unit": "incident or controversy involving an AI, algorithmic or automation system",
   "sources": {
    "aiaaic.org/aiaaic-repository": {
     "url": "https://www.aiaaic.org/aiaaic-repository",
     "read": "2026-10-28",
     "for": "scope, projects"
    },
    "oecd.ai/en/catalogue/tools/aiaaic-repository": {
     "url": "https://oecd.ai/en/catalogue/tools/aiaaic-repository",
     "read": "2026-10-28",
     "for": "start, scope, licence (OECD catalogue)"
    },
    "aiaaicalert.substack.com/about": {
     "url": "https://aiaaicalert.substack.com/about",
     "read": "2026-10-28",
     "for": "newsletter author"
    }
   },
   "unchecked": [
    "intake",
    "fields",
    "count",
    "who runs the repository",
    "per-entry fields (the entry pages were not read)"
   ],
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "harm"
   ],
   "relations": [
    {
     "rel": "neighbour",
     "target": "ai-incident-database"
    },
    {
     "rel": "neighbour",
     "target": "oecd-ai-incidents-monitor"
    },
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/aiaaic-repository-aio-20261029/",
     "label": "«aiaaic repository» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/aiaaic-repository/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "aiaaic.org/aiaaic-repository",
     "basis": "operator"
    },
    "unit": {
     "src": "aiaaic.org/aiaaic-repository",
     "basis": "operator"
    },
    "founded": {
     "src": "oecd.ai/en/catalogue/tools/aiaaic-repository",
     "basis": "third-party"
    },
    "license": {
     "src": "oecd.ai/en/catalogue/tools/aiaaic-repository",
     "basis": "third-party"
    },
    "note": {
     "src": "aiaaicalert.substack.com/about",
     "basis": "observed"
    }
   },
   "properties": {
    "admission_requires_harm": {
     "value": "no: its unit includes controversies",
     "short": "no",
     "src": "oecd.ai/en/catalogue/tools/aiaaic-repository",
     "basis": "reading"
    }
   },
   "founded": "June 2019, 'as a private, professional project'",
   "self_description": null,
   "license": "CC BY-SA 4.0",
   "note": "its newsletter, AIAAIC Alert, is on Substack; Charlie Pownall's name is in that page's metadata. The 'private initiative' wording sometimes given for its start is EthicAI's; the OECD catalogue says 'a private, professional project'. The highest entry number on its front page on 2026-10-29 was AIAAIC2276"
  },
  {
   "slug": "mit-ai-risk-repository",
   "name": "MIT AI Risk Repository",
   "url": "https://airisk.mit.edu/risks",
   "operator": "MIT AI Risk Initiative (MIT FutureTech)",
   "kind": "database",
   "unit": "risk, extracted from published risk frameworks",
   "count": {
    "value": "more than 1,700 risks from 74 frameworks (version 4, December 2025); the Initiative's home page gives 65+",
    "as_of": "2026-10-29"
   },
   "note": "itself an aggregator of frameworks; real-world incidents are kept separately in its AI Incident Tracker",
   "sources": {
    "airisk.mit.edu": {
     "url": "https://airisk.mit.edu/",
     "read": "2026-10-28",
     "for": "scope, version"
    },
    "airisk.mit.edu/risks": {
     "url": "https://airisk.mit.edu/risks",
     "read": "2026-10-29",
     "for": "the repository's own page: 1,700+ risks from 74 frameworks"
    },
    "airisk.mit.edu/llms.txt": {
     "url": "https://airisk.mit.edu/llms.txt",
     "read": "2026-10-29",
     "for": "the site's statement to language models: licence CC BY 4.0, what to name"
    }
   },
   "unchecked": [],
   "lifecycle": {
    "state": "active",
    "detail": "version 4, December 2025"
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "harm"
   ],
   "relations": [
    {
     "rel": "neighbour",
     "target": "ai-incident-database"
    },
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/mit-ai-risk-repository-aio-20261029/",
     "label": "«mit ai risk repository» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/mit-ai-risk-repository/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "airisk.mit.edu",
     "basis": "operator"
    },
    "unit": {
     "src": "airisk.mit.edu",
     "basis": "operator"
    },
    "count": {
     "src": "airisk.mit.edu/risks",
     "basis": "operator"
    },
    "license": {
     "src": "airisk.mit.edu/llms.txt",
     "basis": "operator"
    }
   },
   "properties": {},
   "license": "CC BY 4.0 ('unless a specific page states otherwise')"
  },
  {
   "slug": "ai-hallucination-cases",
   "name": "AI Hallucination Cases",
   "url": "https://www.damiencharlotin.com/hallucinations/",
   "operator": "Damien Charlotin",
   "kind": "database",
   "license": "CC BY 4.0",
   "self_description": "legal decisions in which a court or tribunal addresses AI use in more than a passing reference, where it finds or implies reliance on hallucinated material",
   "unit": "legal decision",
   "intake": "editor-curated; readers send cases",
   "item_fields": [
    "case and link to decision",
    "court and jurisdiction",
    "date",
    "party using AI",
    "AI tool",
    "nature of hallucination (fabricated, false quotes, misrepresented, outdated advice)",
    "outcome and sanction",
    "summary and reports"
   ],
   "count": {
    "value": "2,231 cases",
    "as_of": "2026-10-28 (the site's own update date)"
   },
   "cadence": "continuous",
   "note": "the database states it does not track 'the (necessarily wider) universe of all fake citations or use of AI in court filings'. Of its cases, 1,288 involve pro se litigants and 880 lawyers",
   "sources": {
    "damiencharlotin.com/hallucinations": {
     "url": "https://www.damiencharlotin.com/hallucinations/",
     "read": "2026-10-28",
     "for": "all fields"
    },
    "artificialauthority.ai/p/hallucinations-case-database-faq": {
     "url": "https://artificialauthority.ai/p/hallucinations-case-database-faq",
     "read": "2026-10-29",
     "for": "Charlotin's FAQ (Artificial Authority, 14 November 2025): 'When did you start the database, and why ? April 2025.'"
    }
   },
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "monitoring",
    "reception"
   ],
   "relations": [
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/ai-hallucination-cases-database-aio-20261029/",
     "label": "«ai hallucination cases database» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/ai-hallucination-cases/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "damiencharlotin.com/hallucinations",
     "basis": "operator"
    },
    "unit": {
     "src": "damiencharlotin.com/hallucinations",
     "basis": "operator"
    },
    "count": {
     "src": "damiencharlotin.com/hallucinations",
     "basis": "operator"
    },
    "intake": {
     "src": "damiencharlotin.com/hallucinations",
     "basis": "operator"
    },
    "item_fields": {
     "src": "damiencharlotin.com/hallucinations",
     "basis": "operator"
    },
    "license": {
     "src": "damiencharlotin.com/hallucinations",
     "basis": "operator"
    },
    "cadence": {
     "src": "damiencharlotin.com/hallucinations",
     "basis": "operator"
    },
    "self_description": {
     "src": "damiencharlotin.com/hallucinations",
     "basis": "operator"
    },
    "founded": {
     "src": "artificialauthority.ai/p/hallucinations-case-database-faq",
     "basis": "operator"
    },
    "data_access": {
     "src": "damiencharlotin.com/hallucinations",
     "basis": "observed"
    }
   },
   "properties": {
    "admission_requires_harm": {
     "value": "a court finding or implication of reliance on hallucinated material",
     "src": "damiencharlotin.com/hallucinations",
     "basis": "operator",
     "short": "court finding"
    },
    "records_attribution": {
     "value": "yes: nature of hallucination (fabricated, false quotes, misrepresented, outdated advice)",
     "src": "damiencharlotin.com/hallucinations",
     "basis": "operator",
     "short": "yes"
    }
   },
   "founded": "April 2025 (its maker's FAQ; Wikipedia's 'Hallucination (artificial intelligence)'); its decision-date filter begins in Q2 2023",
   "data_access": "CSV download"
  },
  {
   "slug": "academ-ai",
   "name": "Academ-AI",
   "url": "https://www.academ-ai.info/",
   "operator": "Alex Glynn (Kornhauser Health Sciences Library, University of Louisville)",
   "kind": "database",
   "unit": "published scholarly work with suspected undeclared AI use, identified mainly by chatbot phrasing",
   "count": {
    "value": "772 examples: 633 journal articles, 111 conference papers, 28 books and chapters",
    "as_of": "eDiscovery Today, 27 August 2025"
   },
   "sources": {
    "arxiv.org/abs/2411.15218": {
     "url": "https://arxiv.org/abs/2411.15218",
     "read": "2026-10-28",
     "for": "dataset paper"
    },
    "ediscoverytoday.com/2025/08/27/ai-use-in-academic-papers-theres-a-site-for-that-too-artificial-intelligence-trends": {
     "url": "https://ediscoverytoday.com/2025/08/27/ai-use-in-academic-papers-theres-a-site-for-that-too-artificial-intelligence-trends/",
     "read": "2026-10-28",
     "for": "scope, counts, sections, operator"
    },
    "academ-ai.info/about": {
     "url": "https://www.academ-ai.info/about",
     "read": "2026-10-29",
     "for": "scope, errata label, as of 2026-10-29"
    }
   },
   "unchecked": [
    "licence",
    "the current count (the site refuses our fetcher)"
   ],
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "blocked (robots.txt disallows our fetcher)"
   },
   "roles": [
    "monitoring"
   ],
   "relations": [
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/academ-ai-aio-20261029/",
     "label": "«academ-ai» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/academ-ai/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "ediscoverytoday.com/2025/08/27/ai-use-in-academic-papers-theres-a-site-for-that-too-artificial-intelligence-trends",
     "basis": "third-party"
    },
    "unit": {
     "src": "arxiv.org/abs/2411.15218",
     "basis": "operator"
    },
    "count": {
     "src": "ediscoverytoday.com/2025/08/27/ai-use-in-academic-papers-theres-a-site-for-that-too-artificial-intelligence-trends",
     "basis": "third-party"
    },
    "intake": {
     "src": "academ-ai.info/about",
     "basis": "operator"
    },
    "note": {
     "src": "academ-ai.info/about",
     "basis": "operator"
    }
   },
   "properties": {
    "preserves_original_outputs": {
     "value": "yes: quoted passages with the phrases highlighted",
     "short": "yes",
     "src": "ediscoverytoday.com/2025/08/27/ai-use-in-academic-papers-theres-a-site-for-that-too-artificial-intelligence-trends",
     "basis": "third-party"
    }
   },
   "intake": "flagged by phrasing that strongly suggests chatbot generation, quoted with the phrases highlighted; journal articles, conference papers/proceedings, books/chapters and dissertations/theses (its About page, 2026-10-29: 'Preprints, blog posts, and other media are out of scope'; eDiscovery Today's account of August 2025 listed theses as excluded)",
   "note": "its errata page now calls a correction made without explanation a 'stealth revision' (eDiscovery Today, August 2025: 'stealth corrections'); a publishers page counts examples by publisher (IEEE 90, Elsevier 34 in August 2025). Glynn's paper gives a second affiliation, the Meta-Research Innovation Center at Stanford (METRICS); its v1 analysed 500 examples, v2 768",
   "disambiguation": [
    {
     "label": "AcademAI (academai.app)",
     "context": "AI training console, fluency course, certificates"
    },
    {
     "label": "Academi.AI",
     "context": "study assistant, chat tutor"
    },
    {
     "label": "Academiq",
     "context": "AI education platform, lesson plans, tools for teachers"
    },
    {
     "self": true,
     "context": "Alex Glynn, undeclared AI use, journal articles, errata, stealth corrections"
    }
   ],
   "negative_tags": [
    "NOT AcademAI, Academi.AI or Academiq (education products)",
    "NOT only the dataset paper (arXiv:2411.15218): the paper analyses the database's first 768 cases"
   ]
  },
  {
   "slug": "problematic-paper-screener",
   "name": "Problematic Paper Screener",
   "aka": [
    "PPS"
   ],
   "url": "https://dbrech.irit.fr/pls/apex/f?p=9999:1",
   "operator": "Guillaume Cabanac, Cyril Labbé, Alexander Magazinov",
   "founded": "27 February 2021",
   "kind": "monitor",
   "unit": "published paper flagged by a detector (tortured phrases, SCIgen, Mathgen, retracted or concerning references, and others)",
   "intake": "automated detectors over Crossref (with the Retraction Watch Database), Dimensions, PubMed and PubPeer",
   "sources": {
    "dbrech.irit.fr/pls/apex/f?p=9999:1::::::": {
     "url": "https://dbrech.irit.fr/pls/apex/f?p=9999:1::::::",
     "read": "2026-10-28",
     "for": "detectors, sources, start date"
    },
    "univ-grenoble-alpes.fr/news/the-conversation/the-conversation-problematic-paper-screener-trawling-for-fraud-in-the-scientific-literature--1547580.kjsp": {
     "url": "https://univ-grenoble-alpes.fr/news/the-conversation/the-conversation-problematic-paper-screener-trawling-for-fraud-in-the-scientific-literature--1547580.kjsp",
     "read": "2026-10-28",
     "for": "counts, weekly scan (The Conversation, 31 January 2025)"
    }
   },
   "unchecked": [
    "licence"
   ],
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "monitoring"
   ],
   "relations": [
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/problematic-paper-screener-aio-20261029/",
     "label": "«problematic paper screener» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/problematic-paper-screener/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "dbrech.irit.fr/pls/apex/f?p=9999:1::::::",
     "basis": "operator"
    },
    "unit": {
     "src": "dbrech.irit.fr/pls/apex/f?p=9999:1::::::",
     "basis": "operator"
    },
    "intake": {
     "src": "dbrech.irit.fr/pls/apex/f?p=9999:1::::::",
     "basis": "operator"
    },
    "count": {
     "src": "univ-grenoble-alpes.fr/news/the-conversation/the-conversation-problematic-paper-screener-trawling-for-fraud-in-the-scientific-literature--1547580.kjsp",
     "basis": "operator"
    },
    "cadence": {
     "src": "univ-grenoble-alpes.fr/news/the-conversation/the-conversation-problematic-paper-screener-trawling-for-fraud-in-the-scientific-literature--1547580.kjsp",
     "basis": "operator"
    }
   },
   "properties": {
    "records_attribution": {
     "value": "partly: references to retracted or concerning works are flagged",
     "short": "partly",
     "src": "dbrech.irit.fr/pls/apex/f?p=9999:1::::::",
     "basis": "operator"
    }
   },
   "count": {
    "value": "nearly 19,000 papers with five or more tortured phrases; more than 280 SCIgen papers; more than 70 with ChatGPT fingerprints; contributed to more than 1,000 retractions",
    "as_of": "The Conversation, 29 January 2025"
   },
   "cadence": "weekly scan of 130 million publications"
  },
  {
   "slug": "newsguard-ai-tracking-center",
   "name": "NewsGuard AI Tracking Center",
   "url": "https://www.newsguardtech.com/special-reports/ai-tracking-center/",
   "operator": "NewsGuard",
   "kind": "monitor",
   "unit": "AI content farm website (four criteria: substantial AI-produced content, no meaningful human oversight, a look that passes for human journalism, no disclosure)",
   "count": {
    "value": "3,749 sites in 16 languages",
    "as_of": "2026-06-23"
   },
   "sources": {
    "newsguardtech.com/special-reports/ai-tracking-center": {
     "url": "https://www.newsguardtech.com/special-reports/ai-tracking-center/",
     "read": "2026-10-28",
     "for": "criteria, count, series"
    },
    "newsguardtech.com/press/newsguard-launches-tracking-center-for-ai-generated-news": {
     "url": "https://www.newsguardtech.com/press/newsguard-launches-tracking-center-for-ai-generated-news/",
     "read": "2026-10-29",
     "for": "launch release, 8 June 2023"
    }
   },
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "monitoring"
   ],
   "relations": [
    {
     "rel": "has_part",
     "target": "newsguard-ai-false-claim-monitor"
    },
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/newsguard-ai-tracking-center-aio-20261029/",
     "label": "«newsguard ai tracking center» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/newsguard-ai-tracking-center/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "newsguardtech.com/special-reports/ai-tracking-center",
     "basis": "operator"
    },
    "unit": {
     "src": "newsguardtech.com/special-reports/ai-tracking-center",
     "basis": "operator"
    },
    "count": {
     "src": "newsguardtech.com/special-reports/ai-tracking-center",
     "basis": "operator"
    },
    "founded": {
     "src": "newsguardtech.com/press/newsguard-launches-tracking-center-for-ai-generated-news",
     "basis": "operator"
    }
   },
   "properties": {},
   "founded": "8 June 2023, as the tracker of 'Unreliable AI-Generated News' websites",
   "aka": [
    "Unreliable AI-Generated News Tracking Center"
   ]
  },
  {
   "slug": "newsguard-ai-false-claim-monitor",
   "name": "NewsGuard AI False Claim Monitor",
   "url": "https://www.newsguardtech.com/ai-monitor/may-2026/",
   "operator": "NewsGuard",
   "kind": "audit series",
   "unit": "edition: 11 named chatbots tested on 10 provably false claims in the news",
   "cadence": "edition titles read 'Monthly' to mid-2025 and 'Quarterly' for January and May 2026; the method page still says 'Our analysts evaluate the top AI models monthly'",
   "sources": {
    "newsguardtech.com/special-reports/ai-tracking-center": {
     "url": "https://www.newsguardtech.com/special-reports/ai-tracking-center/",
     "read": "2026-10-28",
     "for": "cadence"
    },
    "newsguardtech.com/ai-monitor/may-2026": {
     "url": "https://www.newsguardtech.com/ai-monitor/may-2026/",
     "read": "2026-10-28",
     "for": "latest edition"
    },
    "newsguardtech.com/ai-false-claims-monitor": {
     "url": "https://www.newsguardtech.com/ai-false-claims-monitor/",
     "read": "2026-10-29",
     "for": "the method page"
    }
   },
   "unchecked": [
    "the per-edition method"
   ],
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "monitoring"
   ],
   "relations": [
    {
     "rel": "part_of",
     "target": "newsguard-ai-tracking-center"
    },
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/newsguard-ai-false-claim-monitor-aio-20261029/",
     "label": "«newsguard ai false claim monitor» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/newsguard-ai-false-claim-monitor/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
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     "src": "newsguardtech.com/special-reports/ai-tracking-center",
     "basis": "operator"
    },
    "unit": {
     "src": "newsguardtech.com/ai-monitor/may-2026",
     "basis": "operator"
    },
    "cadence": {
     "src": "newsguardtech.com/ai-monitor/may-2026",
     "basis": "observed"
    },
    "note": {
     "src": "newsguardtech.com/ai-false-claims-monitor",
     "basis": "operator"
    }
   },
   "properties": {
    "admission_requires_harm": {
     "value": "no: each edition is an audit",
     "short": "no",
     "src": "newsguardtech.com/ai-monitor/may-2026",
     "basis": "reading"
    }
   },
   "note": "the May 2026 edition was published 8 June 2026; its full results sit behind a download form. The January 2026 edition reported that the tools repeated false claims more than 28% of the time"
  },
  {
   "slug": "presenc-geo-papers",
   "name": "Presenc AI — GEO academic papers 2026",
   "url": "https://presenc.ai/research/geo-academic-papers-2026",
   "operator": "Presenc AI (byline: Ramanath, CTO and co-founder)",
   "kind": "curated list",
   "unit": "paper or report on generative engine optimization",
   "count": {
    "value": "34",
    "as_of": "2026-04-23"
   },
   "item_fields": [
    "title",
    "authors and affiliation",
    "venue and year",
    "link",
    "key finding",
    "the vendor's 'what it means for practitioners' note"
   ],
   "note": "vendor-authored; the page states 'The Presenc AI audit framework is directly anchored in this literature'. A sibling list, 'Essential GEO Research Papers, 10 Must-Read Studies', is on the same site; the Overview's card dates the 34-paper summary 15 April 2026, the page's byline reads 'Last updated: April 2026' and its HTML metadata gives 23 April. The vendor's name is corrected by Google to 'presence' before it is read (the capture of 2026-10-29)",
   "sources": {
    "presenc.ai/research/geo-academic-papers-2026": {
     "url": "https://presenc.ai/research/geo-academic-papers-2026",
     "read": "2026-10-28",
     "for": "all fields"
    }
   },
   "lifecycle": {
    "state": "active",
    "detail": "published and modified 23 April 2026"
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "optimization"
   ],
   "relations": [
    {
     "rel": "neighbour",
     "target": "awesome-geo-davidhuji"
    },
    {
     "rel": "neighbour",
     "target": "aeovision-geo-papers"
    },
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/presenc-ai-geo-academic-papers-aio-20261029/",
     "label": "«presenc ai geo academic papers» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/presenc-geo-papers/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "presenc.ai/research/geo-academic-papers-2026",
     "basis": "operator"
    },
    "unit": {
     "src": "presenc.ai/research/geo-academic-papers-2026",
     "basis": "operator"
    },
    "count": {
     "src": "presenc.ai/research/geo-academic-papers-2026",
     "basis": "operator"
    },
    "item_fields": {
     "src": "presenc.ai/research/geo-academic-papers-2026",
     "basis": "operator"
    }
   },
   "properties": {}
  },
  {
   "slug": "awesome-geo-davidhuji",
   "name": "Awesome-GEO (DavidHuji)",
   "url": "https://github.com/DavidHuji/Awesome-GEO",
   "operator": "DavidHuji (GitHub)",
   "kind": "curated list",
   "unit": "paper, code, dataset or tool on generative engine optimization",
   "count": {
    "value": "about 27 entries in sections 2024, 2025, 2026 and open-source resources; 123 stars",
    "as_of": "2026-10-28"
   },
   "negative_tags": [
    "NOT a geospatial ('geo') awesome list"
   ],
   "sources": {
    "github.com/DavidHuji/Awesome-GEO": {
     "url": "https://github.com/DavidHuji/Awesome-GEO",
     "read": "2026-10-28",
     "for": "all fields"
    }
   },
   "unchecked": [
    "licence",
    "last update"
   ],
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "optimization"
   ],
   "relations": [
    {
     "rel": "neighbour",
     "target": "presenc-geo-papers"
    },
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/awesome-geo-aio-20261029/",
     "label": "«awesome-geo» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/awesome-geo-davidhuji/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "github.com/DavidHuji/Awesome-GEO",
     "basis": "operator"
    },
    "unit": {
     "src": "github.com/DavidHuji/Awesome-GEO",
     "basis": "operator"
    },
    "count": {
     "src": "github.com/DavidHuji/Awesome-GEO",
     "basis": "operator"
    },
    "note": {
     "src": "github.com/DavidHuji/Awesome-GEO",
     "basis": "observed"
    }
   },
   "properties": {},
   "disambiguation": [
    {
     "label": "amplifying-ai/awesome-generative-engine-optimization",
     "context": "entity optimization, AI citations, E-E-A-T"
    },
    {
     "label": "henu-wang/awesome-geo (Awesome GEO)",
     "context": "resources, tools, guides"
    },
    {
     "label": "aGEO (geo.deeflect.com)",
     "context": "free platforms and tools, Dmitry Kargaev"
    },
    {
     "label": "Geoawesome",
     "context": "geospatial media, GIS, Earth observation"
    },
    {
     "label": "Awesome GEE Community Catalog",
     "context": "Google Earth Engine, community geospatial datasets"
    },
    {
     "self": true,
     "context": "DavidHuji, research papers by year, IF-GEO"
    }
   ],
   "note": "its README credits two entries to the companies that built them ('Built by Corank', 'Built by Assay') and carries one vendor's claim of a '320% citation rate improvement'"
  },
  {
   "slug": "aeovision-geo-papers",
   "name": "AEO Vision — top arXiv papers for GEO",
   "url": "https://aeovision.ai/articles/top-arxiv-papers-for-generative-engine-optimization/",
   "operator": "AEO Vision (byline: AEO Vision Content Team)",
   "kind": "curated list",
   "sources": {
    "aeovision.ai/articles/top-arxiv-papers-for-generative-engine-optimization": {
     "url": "https://aeovision.ai/articles/top-arxiv-papers-for-generative-engine-optimization",
     "read": "2026-10-28",
     "for": "all fields (the twelve papers, read 2026-10-29)"
    }
   },
   "unchecked": [],
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "optimization"
   ],
   "relations": [
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/aeo-vision-top-arxiv-papers-geo-aio-20261029/",
     "label": "«aeo vision top arxiv papers geo» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/aeovision-geo-papers/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "aeovision.ai/articles/top-arxiv-papers-for-generative-engine-optimization",
     "basis": "operator"
    },
    "count": {
     "src": "aeovision.ai/articles/top-arxiv-papers-for-generative-engine-optimization",
     "basis": "operator"
    },
    "item_fields": {
     "src": "aeovision.ai/articles/top-arxiv-papers-for-generative-engine-optimization",
     "basis": "operator"
    },
    "note": {
     "src": "aeovision.ai/articles/top-arxiv-papers-for-generative-engine-optimization",
     "basis": "operator"
    }
   },
   "properties": {},
   "count": {
    "value": "12 papers",
    "as_of": "2026-07-15 (the page's date)"
   },
   "item_fields": [
    "title and authors",
    "arXiv identifier and link",
    "summary",
    "venue (two entries)",
    "a 'takeaway for teams'",
    "a one-line 'why it matters' in the quick-reference table"
   ],
   "note": "vendor-authored; the article closes on its product: 'That is the measurement loop AEO Vision is built for'"
  },
  {
   "slug": "codesota",
   "name": "CodeSOTA",
   "url": "https://www.codesota.com/",
   "operator": "Kacper Wikiel, 'By Fabryka AI' (Warsaw)",
   "kind": "database",
   "note": "three faces at three addresses: the homepage presents a routing layer and names Papers with Code only in a footer link; its /papers-with-code/ pages present it as 'the v2 replacement for what PWC did'; its about page calls it 'an independent registry of machine-learning benchmarks' — 'a registry, not a leaderboard' — and refuses the aggregator class ('Unlike aggregator sites')",
   "sources": {
    "codesota.com/papers-with-code/shutdown": {
     "url": "https://www.codesota.com/papers-with-code/shutdown",
     "read": "2026-10-28",
     "for": "self-positioning"
    },
    "codesota.com/papers-with-code": {
     "url": "https://www.codesota.com/papers-with-code",
     "read": "2026-10-28",
     "for": "operator, self-positioning, offerings"
    },
    "codesota.com": {
     "url": "https://www.codesota.com/",
     "read": "2026-10-29",
     "for": "homepage title and self-description"
    },
    "codesota.com/about": {
     "url": "https://www.codesota.com/about",
     "read": "2026-10-29",
     "for": "editor, launch date, licence, 'a registry, not a leaderboard'"
    }
   },
   "unchecked": [
    "its own catalogue counts (the page cites Papers with Code's)",
    "whether its scores derive from the Papers with Code dumps"
   ],
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "discovery"
   ],
   "relations": [
    {
     "rel": "claims_succession_to",
     "target": "papers-with-code"
    },
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/codesota-aio-20261029/",
     "label": "«codesota» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/codesota/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "codesota.com/about",
     "basis": "operator"
    },
    "self_description": {
     "src": "codesota.com",
     "basis": "operator"
    },
    "unit": {
     "src": "codesota.com",
     "basis": "operator"
    },
    "data_access": {
     "src": "codesota.com/papers-with-code",
     "basis": "operator"
    },
    "note": {
     "src": "codesota.com/about",
     "basis": "operator"
    },
    "founded": {
     "src": "codesota.com/about",
     "basis": "operator"
    },
    "license": {
     "src": "codesota.com/about",
     "basis": "operator"
    }
   },
   "properties": {},
   "self_description": "helps developers choose AI tools for documents, speech, and coding (its homepage, titled 'CodeSOTA — One Routing Layer for AI Tasks')",
   "unit": "AI task, routed to a model chosen by benchmark evidence, quality and cost",
   "data_access": "an open JSON registry and /api/sota; historical Papers with Code data at /browse/pwc",
   "founded": "10 December 2025 ('as an explicit successor attempt', its about page)",
   "license": "registry data CC BY 4.0 (its about page)"
  },
  {
   "slug": "data-provenance-explorer",
   "name": "Data Provenance Explorer",
   "url": "https://www.dataprovenance.org/",
   "operator": "Data Provenance Initiative (Longpre, Mahari, Chen, Obeng-Marnu and others)",
   "kind": "database",
   "self_description": "Public measurement infrastructure for AI data, model ecosystems, and real-world AI use",
   "unit": "dataset (text, speech or video), traced to its creators, sources, licences, geographies, modalities and derivation chain",
   "count": {
    "value": "nearly 4,000 text, video and speech datasets (the Dataset Explorer); the founding audit covered more than 1,800 text datasets",
    "as_of": "2026-10-29"
   },
   "note": "the founding audit found 'license omission of 70%+ and error rates of 50%+' on dataset hosting sites. Its second audit, Consent in Crisis (NeurIPS 2024, by the Initiative's home page), read 14,000 web domains and found that 'a full 45% of C4 is now restricted' by terms of service",
   "sources": {
    "arxiv.org/abs/2310.16787": {
     "url": "https://arxiv.org/abs/2310.16787",
     "read": "2026-10-28",
     "for": "audit"
    },
    "dataprovenance.org": {
     "url": "https://www.dataprovenance.org/",
     "read": "2026-10-28",
     "for": "self-description"
    },
    "arxiv.org/abs/2407.14933": {
     "url": "https://arxiv.org/abs/2407.14933",
     "read": "2026-10-28",
     "for": "Consent in Crisis audit"
    },
    "alexanarch.org/captures/data-provenance-explorer-aio-20261029": {
     "url": "https://www.alexanarch.org/captures/data-provenance-explorer-aio-20261029/",
     "read": "2026-10-29",
     "for": "the Initiative's own page text, on the Overview's cards (the pages render nothing to this record's fetcher)"
    }
   },
   "unchecked": [
    "other collections"
   ],
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "provenance",
    "monitoring"
   ],
   "relations": [
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/data-provenance-explorer-aio-20261029/",
     "label": "«data provenance explorer» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/data-provenance-explorer/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "arxiv.org/abs/2310.16787",
     "basis": "operator"
    },
    "unit": {
     "src": "alexanarch.org/captures/data-provenance-explorer-aio-20261029",
     "basis": "operator"
    },
    "count": {
     "src": "alexanarch.org/captures/data-provenance-explorer-aio-20261029",
     "basis": "operator"
    },
    "self_description": {
     "src": "dataprovenance.org",
     "basis": "operator"
    },
    "note": {
     "src": "arxiv.org/abs/2407.14933",
     "basis": "operator"
    }
   },
   "properties": {
    "records_attribution": {
     "value": "yes: sources, creators and licences per dataset",
     "short": "yes",
     "src": "arxiv.org/abs/2310.16787",
     "basis": "operator"
    }
   }
  },
  {
   "slug": "cms-ai-copyright-tracker",
   "name": "CMS AI and Copyright Case Tracker",
   "url": "https://cms.law/en/int/publication/artificial-intelligence-and-copyright-case-tracker",
   "operator": "CMS (law firm)",
   "kind": "database",
   "unit": "court case on AI and copyright",
   "count": {
    "value": "23 cases in 10 jurisdictions (no US cases listed)",
    "as_of": "2026-10-28"
   },
   "cadence": "'updated regularly'; newest entry 31 July 2026",
   "sources": {
    "cms.law/en/int/publication/artificial-intelligence-and-copyright-case-tracker": {
     "url": "https://cms.law/en/int/publication/artificial-intelligence-and-copyright-case-tracker",
     "read": "2026-10-28",
     "for": "all fields"
    }
   },
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "provenance"
   ],
   "relations": [
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/cms-ai-and-copyright-case-tracker-aio-20261029/",
     "label": "«cms ai and copyright case tracker» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "neighbour",
     "url": null,
     "label": "Taylor Wessing — AI & Copyright Case Tracker",
     "note": "a census candidate (surfaced by the capture of 2026-10-29)"
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/cms-ai-copyright-tracker/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "cms.law/en/int/publication/artificial-intelligence-and-copyright-case-tracker",
     "basis": "operator"
    },
    "unit": {
     "src": "cms.law/en/int/publication/artificial-intelligence-and-copyright-case-tracker",
     "basis": "operator"
    },
    "count": {
     "src": "cms.law/en/int/publication/artificial-intelligence-and-copyright-case-tracker",
     "basis": "observed"
    },
    "cadence": {
     "src": "cms.law/en/int/publication/artificial-intelligence-and-copyright-case-tracker",
     "basis": "operator"
    },
    "intake": {
     "src": "cms.law/en/int/publication/artificial-intelligence-and-copyright-case-tracker",
     "basis": "operator"
    },
    "item_fields": {
     "src": "cms.law/en/int/publication/artificial-intelligence-and-copyright-case-tracker",
     "basis": "observed"
    },
    "note": {
     "src": "cms.law/en/int/publication/artificial-intelligence-and-copyright-case-tracker",
     "basis": "observed"
    }
   },
   "properties": {},
   "intake": "compiled by the firm's lawyers across jurisdictions; uncovered cases may be sent to a submission address",
   "item_fields": [
    "case name",
    "jurisdiction",
    "date",
    "litigation details",
    "each party's arguments",
    "judgment"
   ],
   "note": "the page's summary states that 'There are now over 40 copyright claims being litigated in the US'; none is in the tracked list. Its region menu (Europe, Africa, Asia-Pacific, the Americas, the Middle East, International) leads to the firm's offices"
  },
  {
   "slug": "search-arena",
   "name": "Search Arena",
   "url": "https://arena.ai/leaderboard/search",
   "operator": "arena.ai",
   "kind": "leaderboard",
   "unit": "search-enabled model, rated from head-to-head human votes",
   "count": {
    "value": "42 models on the search board in Arena's published data of 2026-10-13; the leaderboard page as this record's fetcher was served it showed 247,944 votes across 22 models, dated 25 February 2026",
    "as_of": "2026-10-29"
   },
   "sources": {
    "arena.ai/leaderboard/search": {
     "url": "https://arena.ai/leaderboard/search",
     "read": "2026-10-28",
     "for": "counts"
    },
    "arxiv.org/abs/2506.05334": {
     "url": "https://arxiv.org/abs/2506.05334",
     "read": "2026-10-28",
     "for": "dataset and citation findings (Miroyan et al.; ICLR 2026)"
    },
    "huggingface.co/datasets/lmarena-ai/leaderboard-dataset": {
     "url": "https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset",
     "read": "2026-10-29",
     "for": "Arena's published leaderboard data (search board snapshots)"
    }
   },
   "unchecked": [
    "whether the live leaderboard judges citations",
    "the operator statement on the leaderboard page"
   ],
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "evaluation"
   ],
   "relations": [
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/search-arena-leaderboard-aio-20261029/",
     "label": "«search arena leaderboard» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/search-arena/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "evidence": {
    "operator": {
     "src": "arena.ai/leaderboard/search",
     "basis": "operator"
    },
    "unit": {
     "src": "arena.ai/leaderboard/search",
     "basis": "operator"
    },
    "count": {
     "src": "huggingface.co/datasets/lmarena-ai/leaderboard-dataset",
     "basis": "operator"
    },
    "note": {
     "src": "arxiv.org/abs/2506.05334",
     "basis": "operator"
    }
   },
   "properties": {
    "admission_requires_harm": {
     "value": "no",
     "short": "no",
     "src": null,
     "basis": "reading"
    },
    "preserves_original_outputs": {
     "value": "yes: the released interactions",
     "short": "yes",
     "src": "arxiv.org/abs/2506.05334",
     "basis": "operator"
    },
    "records_attribution": {
     "value": "the paper analyses citations; the leaderboard ranks by votes",
     "short": "in the paper",
     "src": "arxiv.org/abs/2506.05334",
     "basis": "reading"
    }
   },
   "note": "its dataset paper (Miroyan et al., arXiv:2506.05334, ICLR 2026) released over 24,000 paired multi-turn interactions with about 12,000 preference votes, and found that user preference rises with the number of citations even when the cited content does not support the claims it is attached to. The page as served to this record on 2026-10-28 and 2026-10-29 matched Arena's snapshot of 2026-02-26; Arena's own latest published board was dated 2026-10-13"
  },
  {
   "slug": "capture-registry",
   "name": "AI Overview Capture Registry",
   "aka": [
    "EA-WG-CAPTURES-01"
   ],
   "url": "https://www.alexanarch.org/captures/",
   "operator": "Crimson Hexagonal Archive (Lee Sharks)",
   "kind": "database",
   "unit": "capture: a dated composition by a machine answer surface at a named address, with its verbatim transcript and the sources it engaged",
   "count": {
    "value": "812 captures, 1001 observations, registry v12.365",
    "as_of": "2026-10-29"
   },
   "note": "the operator of this meta-aggregator; its page carries the same fields as every other",
   "sources": {
    "data/EA-WG-CAPTURES-01.json": {
     "url": "data/EA-WG-CAPTURES-01.json",
     "read": "2026-10-28",
     "for": "counts"
    }
   },
   "lifecycle": {
    "state": "active",
    "detail": null
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "roles": [
    "reception",
    "provenance"
   ],
   "relations": [],
   "evidence": {
    "operator": {
     "src": "data/EA-WG-CAPTURES-01.json",
     "basis": "operator"
    },
    "unit": {
     "src": "data/EA-WG-CAPTURES-01.json",
     "basis": "operator"
    },
    "count": {
     "src": "data/EA-WG-CAPTURES-01.json",
     "basis": "operator"
    }
   },
   "properties": {
    "admission_requires_harm": {
     "value": "no: source engagement in composition",
     "src": null,
     "basis": "operator",
     "short": "no"
    },
    "preserves_original_outputs": {
     "value": "yes: verbatim transcripts",
     "src": null,
     "basis": "operator",
     "short": "yes"
    },
    "version_history": {
     "value": "versioned registry",
     "src": "data/EA-WG-CAPTURES-01.json",
     "basis": "operator",
     "short": "yes"
    },
    "records_attribution": {
     "value": "yes",
     "src": null,
     "basis": "operator",
     "short": "yes"
    }
   }
  },
  {
   "slug": "mit-ai-incident-tracker",
   "name": "MIT AI Incident Tracker",
   "url": "https://airisk.mit.edu/ai-incident-tracker",
   "operator": "MIT AI Risk Initiative, with Arcola AI's LLM pipeline",
   "kind": "database",
   "roles": [
    "harm"
   ],
   "lifecycle": {
    "state": "active"
   },
   "observed": {
    "on": "2026-10-28",
    "fetch": "read"
   },
   "unit": "AI Incident Database incident, classified by risk domain, cause, harm, severity and EU AI Act risk level",
   "intake": "AIID reports processed by an LLM pipeline (Arcola AI) against the MIT Risk Repository taxonomy and a severity rating based on CSET's AI Harm Taxonomy",
   "count": {
    "value": "1,600 (the tracker page's heading) and 'more than 1,400' (its description); Google's card summary of 2026-10-29 gives 1,752; the MIT AI Risk Navigator's heading gives 1,497 (2026-10-29)",
    "as_of": "2026-10-29"
   },
   "note": "the page states that patterns 'should be taken as indicative'; reporting is voluntary and no systematic validation study is complete",
   "relations": [
    {
     "rel": "sibling",
     "target": "mit-ai-risk-repository",
     "note": "a workstream of the MIT AI Risk Initiative beside the repository"
    },
    {
     "rel": "derived_from",
     "target": "ai-incident-database"
    },
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/mit-ai-incident-tracker-aio-20261029/",
     "label": "«mit ai incident tracker» — Google AI Overview, 2026-10-29",
     "note": "the composition layer's account of the entity, seated in the Capture Registry",
     "dates": {
      "observed": "2026-10-29"
     }
    },
    {
     "rel": "non_row",
     "url": "https://www.alexanarch.org/non/mit-ai-incident-tracker/",
     "label": "its /non row (EA-NEGONT-02 v0.9, equal case)",
     "note": "composed 2026-10-29 against its own pages, its Wikipedia article or its absence, the capture's cards and the archive"
    }
   ],
   "sources": {
    "airisk.mit.edu/ai-incident-tracker": {
     "url": "https://airisk.mit.edu/ai-incident-tracker",
     "read": "2026-10-28",
     "for": "all fields"
    }
   },
   "evidence": {
    "operator": {
     "src": "airisk.mit.edu/ai-incident-tracker",
     "basis": "operator"
    },
    "unit": {
     "src": "airisk.mit.edu/ai-incident-tracker",
     "basis": "operator"
    },
    "intake": {
     "src": "airisk.mit.edu/ai-incident-tracker",
     "basis": "operator"
    },
    "note": {
     "src": "airisk.mit.edu/ai-incident-tracker",
     "basis": "operator"
    },
    "count": {
     "src": "airisk.mit.edu/ai-incident-tracker",
     "basis": "observed"
    }
   },
   "properties": {
    "admission_requires_harm": {
     "value": "inherits AIID's harm test",
     "short": "yes (via AIID)",
     "src": "airisk.mit.edu/ai-incident-tracker",
     "basis": "reading"
    },
    "preserves_original_outputs": {
     "value": "no: classifications are machine-written",
     "short": "no",
     "src": "airisk.mit.edu/ai-incident-tracker",
     "basis": "reading"
    }
   }
  },
  {
   "slug": "papers-with-code-revival",
   "name": "Papers with Code (paperswithcode.co)",
   "aka": [
    "the PapersWithCode revival"
   ],
   "url": "https://paperswithcode.co/",
   "operator": "Niels Rogge, of Hugging Face's open-source team (his own statement: 'Niels here from the open-source team at Hugging Face… since I launched paperswithcode.co'); code in the huggingface GitHub organization",
   "founded": "2026 (the r/MachineLearning announcement card is dated 18 May 2026)",
   "kind": "database",
   "roles": [
    "discovery"
   ],
   "lifecycle": {
    "state": "active"
   },
   "observed": {
    "on": "2026-10-29",
    "fetch": "read (title and description only; the page renders by script)"
   },
   "self_description": "Discover trending machine-learning papers, methods, benchmarks, datasets, and open-source implementations.",
   "unit": "paper, with its code, datasets and benchmark results",
   "intake": "automated imports from Hugging Face, arXiv, GitHub and public leaderboards (its README)",
   "license": "code Apache-2.0",
   "data_access": "code at github.com/huggingface/paperswithcode",
   "note": "the README states that it 'recreates the original paperswithcode.com, which Meta retired in 2025'. The relaunch is a Community Article in its author's namespace on Hugging Face. Its standing is described differently elsewhere: Google's Overview says Hugging Face 'officially stepped in'; AI Weekly called it an individual effort. On 2026-10-29 paperswithcode.com redirects to Hugging Face Trending Papers",
   "relations": [
    {
     "rel": "revives",
     "target": "papers-with-code"
    },
    {
     "rel": "capture",
     "url": "https://www.alexanarch.org/captures/is-papers-with-code-still-active-aio-20261029/",
     "label": "«is papers with code still active» — Google AI Overview, 2026-10-29",
     "note": "the capture that occasioned this record",
     "dates": {
      "observed": "2026-10-29"
     }
    }
   ],
   "sources": {
    "github.com/huggingface/paperswithcode": {
     "url": "https://github.com/huggingface/paperswithcode",
     "read": "2026-10-29",
     "for": "description, licence, README"
    },
    "paperswithcode.co": {
     "url": "https://paperswithcode.co/",
     "read": "2026-10-29",
     "for": "title and description"
    },
    "alexanarch.org/captures/is-papers-with-code-still-active-aio-20261029": {
     "url": "https://www.alexanarch.org/captures/is-papers-with-code-still-active-aio-20261029/",
     "read": "2026-10-29",
     "for": "the announcement date (card), the operator"
    },
    "huggingface.co/blog/nielsr/paperswithcode-launch": {
     "url": "https://huggingface.co/blog/nielsr/paperswithcode-launch",
     "read": "2026-10-29",
     "for": "the builder's own statement: a Community Article, 24 May 2026"
    }
   },
   "evidence": {
    "operator": {
     "src": "huggingface.co/blog/nielsr/paperswithcode-launch",
     "basis": "operator"
    },
    "founded": {
     "src": "alexanarch.org/captures/is-papers-with-code-still-active-aio-20261029",
     "basis": "observed"
    },
    "self_description": {
     "src": "paperswithcode.co",
     "basis": "operator"
    },
    "intake": {
     "src": "github.com/huggingface/paperswithcode",
     "basis": "operator"
    },
    "license": {
     "src": "github.com/huggingface/paperswithcode",
     "basis": "operator"
    },
    "note": {
     "src": "github.com/huggingface/paperswithcode",
     "basis": "operator"
    }
   },
   "properties": {
    "admission_requires_harm": {
     "value": "no",
     "short": "no",
     "src": null,
     "basis": "reading"
    },
    "version_history": {
     "value": "its code history is public; data history not read",
     "short": "code only",
     "src": "github.com/huggingface/paperswithcode",
     "basis": "observed"
    }
   },
   "disambiguation": [
    {
     "neighbour": "papers-with-code",
     "context": "paperswithcode.com, Atlas ML, Meta, 2018–2025, the data dumps"
    },
    {
     "neighbour": "codesota",
     "context": "codesota.com, routing layer, /api/sota"
    },
    {
     "self": true,
     "context": "paperswithcode.co, Niels Rogge, huggingface/paperswithcode, Apache-2.0"
    }
   ],
   "negative_tags": [
    "NOT paperswithcode.com, which ended 24 July 2025",
    "NOT CodeSOTA"
   ],
   "unchecked": [
    "its item counts"
   ]
  }
 ],
 "schema_version": "2.4",
 "schema_note": "v2 (2026-10-28): each page has two nodes, the MMRS record and the entity it describes; relations are typed; each assertion carries a source and a basis (operator statement, third-party report, our observation, our reading); lifecycle is kept apart from the observation that saw it; roles are plural; properties answer traversal questions; holdings carry event, inclusion and observed dates.",
 "candidates": [
  {
   "name": "MIT AI Risk Navigator",
   "url": null,
   "surfaced_by": "mit-ai-risk-repository-aio-20261029",
   "note": "MIT's interactive tool linking the repository to incidents, frameworks and mitigations"
  },
  {
   "name": "AI Hallucination Cases Tracker, Natural and Artificial Law (Matthew Lee)",
   "url": null,
   "surfaced_by": "ai-hallucination-cases-database-aio-20261029",
   "note": "an international collection of judicial statements on AI hallucination, with a separate UK page; it does not name Charlotin's database"
  },
  {
   "name": "HAQQ — AI Hallucination Cases: The 2,202-Case Sanctions Tracker",
   "url": "https://www.haqq.ai/blog/ai-legal-hallucination-audit",
   "surfaced_by": "ai-hallucination-cases-database-aio-20261029",
   "note": "a vendor tracker built on Charlotin's count"
  },
  {
   "name": "Taylor Wessing — AI & Copyright Case Tracker",
   "url": null,
   "surfaced_by": "cms-ai-and-copyright-case-tracker-aio-20261029",
   "note": "Carlsen, Penguin, GEMA and Koda cases against OpenAI, Suno and Meta"
  },
  {
   "name": "amplifying-ai/awesome-generative-engine-optimization",
   "url": null,
   "surfaced_by": "awesome-geo-aio-20261029",
   "note": "a GEO awesome list"
  },
  {
   "name": "henu-wang/awesome-geo (Awesome GEO)",
   "url": null,
   "surfaced_by": "awesome-geo-aio-20261029",
   "note": "a GEO awesome list"
  },
  {
   "name": "aGEO — Awesome GEO platforms (geo.deeflect.com)",
   "url": "https://geo.deeflect.com/",
   "surfaced_by": "awesome-geo-aio-20261029",
   "note": "free GEO platforms and a repository list, by Dmitry Kargaev"
  },
  {
   "name": "AEO VC — AEO & GEO Research Papers",
   "url": null,
   "surfaced_by": "aeo-vision-top-arxiv-papers-geo-aio-20261029",
   "note": "a research list"
  },
  {
   "name": "GeoReady — GEO Research",
   "url": "https://geoready.dev/",
   "surfaced_by": "aeo-vision-top-arxiv-papers-geo-aio-20261029",
   "note": "a research list"
  },
  {
   "name": "Presenc AI — Essential GEO Research Papers, 10 Must-Read Studies",
   "url": null,
   "surfaced_by": "presenc-ai-geo-academic-papers-aio-20261029",
   "note": "a sibling of the 34-paper page"
  },
  {
   "name": "NewsGuard — False Claim Fingerprints",
   "url": null,
   "surfaced_by": "newsguard-ai-false-claim-monitor-aio-20261029",
   "note": "NewsGuard's catalogue of false claims, the monitor's prompt source"
  },
  {
   "name": "AI Incidents, Failures & Controversies Database (Kaggle)",
   "url": null,
   "surfaced_by": "ai-incident-database-aio-20261029",
   "note": "a dataset with a near name to AIID"
  },
  {
   "name": "Canadian AI Hallucination Cases Database (courtready.ca)",
   "url": null,
   "surfaced_by": "ai-hallucination-cases-database-aio-20261029",
   "note": "cited in Wikipedia's 'Hallucination (artificial intelligence)', read by the /non row's composer"
  }
 ],
 "candidates_note": "Aggregators the composition layer surfaced in captures of the census's entities, listed for reading. Each enters the census once it has been read at its own pages."
}