{
 "row": "academ-ai",
 "address": "academ-ai",
 "addresses": [
  "academ-ai"
 ],
 "extracted": "2026-10-29",
 "extractor": "Claude (Opus 5.5), subagent, one extractor (unaudited, §3.8)",
 "rule": "v0.9 §3.5, source-neutral: opening, defined terms, headline claims, stated limits; quotes verbatim from the saved page texts (whitespace-normalised for the check), or the Capture Registry's card snippet for a card that could not be fetched, checked by script; copyrighted pages quoted only in short spans",
 "B_note": "The field B (§0.4, §3.1(a)) has the brief's three origins and one more, kept apart: 'card' (B1–B4: the four cards on T's rail: the arXiv paper, and the three homonyms Academi.AI, AcademAI and Academiq, carried as distinct entities); 'own_page' (B5–B7: the dataset paper's full text, the site's home page and its About page), admitted per the operator's ruling of 2026-10-29 and not surfaced by T; 'mmrs_source' (B8: eDiscovery Today, a third-party article the MMRS record cites for most of its fields), admitted at the caller's direction so that the record's fields have their lineage in B, not surfaced by T; 'wikipedia' (W1: no article). B1 (card) and B5 (own page) are one work; the card is the surfaced instance, B5 its full text.",
 "lineage_note": "Lineages are the field's own claims grouped for the rail: what it is (F1, F11, F28, F29); who makes it (F10, F12, F38); how cases enter (F13, F14, F30, F31); scope: what is admitted (F15, F32, F39), held two ways in time (theses in scope on the About page of 2026-10-29, F32; out of scope as eDiscovery Today reported the About page in August 2025, F39); its size (F16, F40: 768 at the paper's census, 772 in August 2025); the dataset paper: the first 768 cases (F3); its versions and venue (F8, F9, F27); the tells (F17); where it appears (F4, F20, F21); after publication (F5, F18, F19, F36, F41: 'stealth revision' on the About page, 'stealth corrections' as reported in 2025, stealth corrections and retractions in the paper); by publisher (F42); the selection's limit, the detectable trace (F6, F22, F23, F33) and coverage (F24, F25); the norm (F2, F34); the call (F7); metadata as published (F35); the data dump (F26); its neighbours (F37); the three homonyms (F43; F44, F45, F46; F47), distinct entities carried beside the entity.",
 "pages": "saved verbatim in datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/ (Bn.html or Bn.pdf raw, Bn.txt text with scripts and styles stripped or pdftotext; Bn.headers.txt the response headers; B6-robots.txt the site's robots.txt; B4-406.html the refusal; B5-html-v1.* and B5-html-v2-unbuilt.* the HTML versions tried; W1*.html Wikipedia's responses; T1-academ-ai-aio-20261029.txt the registry's transcript string)",
 "field": [
  {
   "id": "B1",
   "origin": "card",
   "role": "T1 card 1 (academ-ai-aio-20261029)",
   "card": "arXiv — [2411.15218] Academ-AI: documenting the undisclosed use of generative artificial intelligence in academic publishing",
   "url": "https://arxiv.org/abs/2411.15218",
   "kind": "arXiv abstract page of the dataset paper (Alex Glynn; v1 20 Nov 2024, v2 15 Nov 2025), the operator's own paper",
   "card_snippet": "Overview: Academ-AI documents undisclosed generative AI usage in academic publishing identified via characteristic LLM phrasing. Findings: Analysis of 768 examp...",
   "card_note": null,
   "surfaced_by_T": true,
   "fetched": "fetched 2026-10-29 at 05:06:06 UTC with curl -sSL -m 30 -A 'Mozilla/5.0'; HTTP 200; html sha256 4f4928f94cb7dd68875693607c4574b2b1b0fa72eaa842de2b87d6ddd2b94964, text sha256 5504faf64b4ef0c813c0e2c19587b7d2ca057f0237276f28ca566cf01eaca474",
   "files": {
    "html": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/B1.html",
    "txt": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/B1.txt"
   },
   "http": 200,
   "sha256_html": "4f4928f94cb7dd68875693607c4574b2b1b0fa72eaa842de2b87d6ddd2b94964",
   "names_operator": "yes ('Authors: Alex Glynn')",
   "names_archive": "no (none of Alexanarch, Lee Sharks, MMRS, machinemediation, Crimson Hexagonal in the saved text or the snippet)",
   "note": "found by its title and site (the arXiv number is in the card's title). The card is the operator's own paper and also an MMRS source (arxiv.org/abs/2411.15218, basis 'operator'); its full text is B5, one work with B1 (§3.6), the card the surfaced instance."
  },
  {
   "id": "B2",
   "origin": "card",
   "role": "T1 card 2 (academ-ai-aio-20261029)",
   "card": "Academi.AI — Academi.AI",
   "url": "https://academi.ai/ (inferred from the card's site name; not confirmed)",
   "kind": "a homonym's product page (Academi.AI, an AI study assistant); a distinct entity",
   "card_snippet": "Core Offering: Academi.AI AI-powered study assistant (Samsung, Google, Adobe, Spotify, Dropbox partners). Features: AI-Powered Chat Tutor (personalized adaptive...",
   "card_note": null,
   "surfaced_by_T": true,
   "fetched": "unreachable: https://academi.ai/ at 05:07:53, 05:08:40 UTC and https://www.academi.ai/ at 05:08:29 UTC, curl -sSL -m 30 -A 'Mozilla/5.0', each 'Recv failure: Connection reset by peer' (no HTTP response); WebSearch for the card's title and snippet found only third-party listings (ai.google.dev's Gemini API competition page 'Academi.AI: AI Study Assistant', an App Store listing 'Academi AI - Study & Exam Tutor'), not the card's page; the snippet stands as its only text",
   "files": {},
   "http": null,
   "sha256_html": null,
   "unreachable": true,
   "names_operator": "no (Academi.AI is a homonym; the snippet names partners, not an operator)",
   "names_archive": "no (none of Alexanarch, Lee Sharks, MMRS, machinemediation, Crimson Hexagonal in the saved text or the snippet)",
   "note": "a homonym card (the MMRS disambiguation's 'Academi.AI', study assistant, chat tutor), carried as a distinct entity. A browser user-agent was not tried."
  },
  {
   "id": "B3",
   "origin": "card",
   "role": "T1 card 3 (academ-ai-aio-20261029)",
   "card": "academai.app — AcademAI — Premium AI Training Console",
   "url": "https://academai.app/",
   "kind": "a homonym's home page (AcademAI, an AI training console); a distinct entity",
   "card_snippet": "Guided AI training with a free AI Fluency foundation course, paid mastery paths, scenario tests, progress tracking, AI-generated syllabi, and certificates ...",
   "card_note": null,
   "surfaced_by_T": true,
   "fetched": "fetched 2026-10-29 at 05:09:02 UTC with curl -sSL -m 30 -A 'Mozilla/5.0'; HTTP 200; html sha256 83c4140f8819509c4175e98473686a9f79339803b15f81caa46cd39ca40dd913, text sha256 6e4e7f78892e7b85b0d06b1541de0b9d4889852fc2169a3cfcdcd0eae06062e1 (a first fetch at 05:08:03 UTC answered the same title)",
   "files": {
    "html": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/B3.html",
    "txt": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/B3.txt"
   },
   "http": 200,
   "sha256_html": "83c4140f8819509c4175e98473686a9f79339803b15f81caa46cd39ca40dd913",
   "names_operator": "no (AcademAI, 'Independent educational project'; no person named)",
   "names_archive": "no (none of Alexanarch, Lee Sharks, MMRS, machinemediation, Crimson Hexagonal in the saved text or the snippet)",
   "note": "a homonym card (the MMRS disambiguation's 'AcademAI (academai.app)'), carried as a distinct entity; the card's site is its domain"
  },
  {
   "id": "B4",
   "origin": "card",
   "role": "T1 card 4 (academ-ai-aio-20261029)",
   "card": "Academiq — AI Education Platform | AI Tools for Teachers & Students – Academiq",
   "url": "https://www.academiq.ai/ (the snippet names 'Academiq.ai')",
   "kind": "a homonym's home page (Academiq, an AI education platform); a distinct entity",
   "card_snippet": "Platform: Academiq.ai unified AI education ecosystem with 150+ tools for teachers, students, parents, and institutions. Educator Tools: Instant lesson plans, wo...",
   "card_note": null,
   "surfaced_by_T": true,
   "fetched": "unreachable: https://academiq.ai/ answered connection reset at 05:08:04 UTC and HTTP 406 at 05:08:50 UTC; https://www.academiq.ai/ answered HTTP 406 'Not Acceptable! ... generated by Mod_Security' at 05:08:07 and 05:09:02 UTC (saved: B4-406.html, sha256 80a265bed528211aa708dcd58f7a95db36eeb7f873c6fe4ddab0b3a1dc0973a4); curl -sSL -m 30 -A 'Mozilla/5.0'; the snippet stands as its only text",
   "files": {
    "html": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/B4-406.html"
   },
   "http": 406,
   "sha256_html": "80a265bed528211aa708dcd58f7a95db36eeb7f873c6fe4ddab0b3a1dc0973a4",
   "unreachable": true,
   "names_operator": "no",
   "names_archive": "no (none of Alexanarch, Lee Sharks, MMRS, machinemediation, Crimson Hexagonal in the saved text or the snippet)",
   "note": "a homonym card (the MMRS disambiguation's 'Academiq'), carried as a distinct entity. A browser user-agent was not tried."
  },
  {
   "id": "B5",
   "origin": "own_page",
   "entity": "academ-ai",
   "url": "https://arxiv.org/pdf/2411.15218v2",
   "kind": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator",
   "fetched": "fetched 2026-10-29 at 05:07:05 UTC with curl -sSL -m 30 -A 'Mozilla/5.0'; HTTP 200; html sha256 1d063c0a3ec8619289b129db4ac36a221abc0779e6f078311f14a42a35f092ab, text sha256 ba37182f9263962092537a6271cafa18b39aad6f9cdf70f09233ddeb8cf77ce3 (B5.txt by pdftotext, default mode). Tried first: the HTML version https://arxiv.org/html/2411.15218 (v2) at 05:06:06 UTC, HTTP 200 but an unbuilt shell with no paper text (B5-html-v2-unbuilt.html, sha256 5daab3908fc2d72bdcfb5802211e57713ecef405cdf4c431412dda0a7ebb1fd2); https://arxiv.org/html/2411.15218v1 at 05:06:45 UTC, HTTP 200, the v1 text (first 500 examples; B5-html-v1.html, sha256 e171c4a4eb44eb58b09ac5862d2da913e0b04868268ba2d6b57f6372e01558af), saved and not ledgered, since the record and the card cite v2",
   "files": {
    "html": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/B5.pdf",
    "txt": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/B5.txt"
   },
   "http": 200,
   "sha256_html": "1d063c0a3ec8619289b129db4ac36a221abc0779e6f078311f14a42a35f092ab",
   "surfaced_by_T": false,
   "admitted": "per the operator's ruling of 2026-10-29 (the /non rows are built 'as against their wikipedia articles if they exist, their own pages, etc.'): the operator's own paper, which the MMRS record cites (arxiv.org/abs/2411.15218, basis 'operator'); its abstract page is the card B1, its full text not surfaced by T",
   "names_operator": "yes ('Alex Glynn, MA'; 'I maintain a repository of examples known as Academ-AI')",
   "names_archive": "no",
   "note": "one work with B1 (§3.6: instances of one work are one lineage); the full text supplies the defined terms, criteria, results and stated limits the abstract summarises"
  },
  {
   "id": "B6",
   "origin": "own_page",
   "entity": "academ-ai",
   "url": "https://www.academ-ai.info/",
   "kind": "the entity's own site, home page (301 to https://academ-ai.info/; a Nuxt page whose list of examples loads client-side)",
   "fetched": "fetched 2026-10-29 at 05:06:04 UTC with curl -sSL -m 30 -A 'Mozilla/5.0'; HTTP 200; html sha256 68d32fe5488719b025749aed2fda708e932e355f203782974c3af2a3869a34ba, text sha256 2830daf183daabbbdce78f776762f0ba9bd1c18107acb3b8e45b614376b2430c after HTTP 301 from www to the bare domain (B6.headers.txt). The page served to the shell carries the site's heading and navigation; its examples are not in the served HTML. robots.txt fetched at 05:06:05 UTC, HTTP 200 (B6-robots.txt, sha256 0563ce67fbc4e4d58b49682897c6d74c272618c27503668fb7cbb32ee9f2ea36): 'User-agent: *' with 'Content-Signal: search=yes,ai-train=no,use=reference' and 'Allow: /'; Disallow for named crawlers and agents, among them ClaudeBot, Claude-User, Claude-Web, anthropic-ai, GPTBot, ChatGPT-User, Google-Extended, GoogleOther, Google-CloudVertexBot, Google-Agent, Perplexity-User; Googlebot is not named",
   "files": {
    "html": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/B6.html",
    "txt": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/B6.txt",
    "robots": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/B6-robots.txt"
   },
   "http": 200,
   "sha256_html": "68d32fe5488719b025749aed2fda708e932e355f203782974c3af2a3869a34ba",
   "surfaced_by_T": false,
   "admitted": "per the operator's ruling of 2026-10-29: the entity's own address (the MMRS record's url field); not surfaced by T",
   "names_operator": "no",
   "names_archive": "no",
   "note": "The MMRS record observed this address on 2026-10-28 as 'blocked (robots.txt disallows our fetcher)', and the summarising fetcher was refused again on 2026-10-29; the shell fetch, a generic user-agent, was answered 200. The refusal is robots.txt's to the named agents; the site serves its pages to a generic client."
  },
  {
   "id": "B7",
   "origin": "own_page",
   "entity": "academ-ai",
   "url": "https://www.academ-ai.info/about",
   "kind": "the entity's own site, About page (reached from the home page's navigation: 'About')",
   "fetched": "fetched 2026-10-29 at 05:06:45 UTC with curl -sSL -m 30 -A 'Mozilla/5.0'; HTTP 200; html sha256 4f20561a8b120e3a9645eef152cdd3349e9406495bee3f060a0c2c5e5fbf0188, text sha256 2bd6b548492bc40c0b1a424d3bbc0c0c1d9318631d8b22bff2fae7317afc5aae (after 301 to https://academ-ai.info/about)",
   "files": {
    "html": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/B7.html",
    "txt": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/B7.txt"
   },
   "http": 200,
   "sha256_html": "4f20561a8b120e3a9645eef152cdd3349e9406495bee3f060a0c2c5e5fbf0188",
   "surfaced_by_T": false,
   "admitted": "per the operator's ruling of 2026-10-29 ('their own pages, etc.'): the entity's own self-definition, linked from its home page; the MMRS record does not cite it by address (eDiscovery Today, which the record cites, reports it: 'The About page on Academ-AI discusses the parameters of the site'); not surfaced by T",
   "names_operator": "partly: first person throughout, and the self-citation '(Glynn, 2024)'; the contact address is obfuscated in the served HTML",
   "names_archive": "no",
   "note": "the About page's scope (2026-10-29) includes 'dissertations/theses'; eDiscovery Today (B8, 2025-08-27) reported theses out of scope, and the MMRS record's intake follows B8"
  },
  {
   "id": "B8",
   "origin": "mmrs_source",
   "entity": "academ-ai",
   "url": "https://ediscoverytoday.com/2025/08/27/ai-use-in-academic-papers-theres-a-site-for-that-too-artificial-intelligence-trends/",
   "kind": "third-party article (eDiscovery Today, 2025-08-27, 'AI Use in Academic Papers? There's a Site for That Too')",
   "fetched": "fetched 2026-10-29 at 05:06:07 UTC with curl -sSL -m 30 -A 'Mozilla/5.0'; HTTP 200; html sha256 963b9e649ee988528981c1eaed82bdd90ced60a58099325cfaa225f9737c37ab, text sha256 de1f498bbf49a4c539bfa6ccd9fa57609b6cb8299644c39c483334d2d5f3e9a9",
   "files": {
    "html": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/B8.html",
    "txt": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/B8.txt"
   },
   "http": 200,
   "sha256_html": "963b9e649ee988528981c1eaed82bdd90ced60a58099325cfaa225f9737c37ab",
   "surfaced_by_T": false,
   "admitted": "outside the brief's three origins: a third-party source the MMRS record cites for its operator, count, intake, note and the property of preserving original outputs (evidence basis 'third-party'), fetched at the caller's direction and admitted so that the record's fields have their lineage in B (§3.6); not an own page and not surfaced by T",
   "names_operator": "yes ('The creator of this site is Alex Glynn, MA')",
   "names_archive": "no"
  }
 ],
 "wikipedia": {
  "id": "W1",
  "origin": "wikipedia",
  "result": "no article",
  "checked": "2026-10-29 05:09:18–05:09:29 UTC",
  "requests": [
   {
    "url": "https://en.wikipedia.org/w/index.php?title=Academ-AI&action=raw",
    "http": 404
   },
   {
    "url": "https://en.wikipedia.org/w/index.php?title=Academ_AI&action=raw",
    "http": 404
   },
   {
    "url": "https://en.wikipedia.org/w/index.php?title=Academ-ai&action=raw",
    "http": 404
   },
   {
    "url": "https://en.wikipedia.org/w/index.php?title=AcademAI&action=raw",
    "http": 404
   },
   {
    "url": "https://en.wikipedia.org/w/index.php?title=Alex_Glynn&action=raw",
    "http": 404,
    "note": "the operator"
   },
   {
    "url": "https://en.wikipedia.org/wiki/Academ-AI",
    "http": 404,
    "file": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/W1.html",
    "sha256": "312a27860c65ac3413fe076f48dc67f08397f35787ae805a89ebb90561e0c423",
    "says": "Wikipedia does not have an article with this exact name."
   },
   {
    "url": "https://en.wikipedia.org/w/index.php?search=%22Academ-AI%22&title=Special%3ASearch&profile=advanced&fulltext=1&ns0=1",
    "http": 200,
    "file": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/W1-search.html",
    "sha256": "794d66948f1746323f68c23c02a60f01b11f5802ef352e0a9ec9fe1e40a49445",
    "says": "There were no results matching the query."
   },
   {
    "url": "https://en.wikipedia.org/w/index.php?search=%22academ-ai.info%22&title=Special%3ASearch&profile=advanced&fulltext=1&ns0=1",
    "http": 200,
    "file": "datasets/negative-of-the-negative/v2/intake/academ-ai-20261029/W1-search2.html",
    "sha256": "96e7a5744eb62e7c1c5449ee401ba86b43aad6a0ebaeb9413a7b109cc7a2b79c",
    "says": "no results"
   }
  ],
  "redirect": "none (no title variant resolves; no redirect page)",
  "note": "No article for the entity, its operator or the name on English Wikipedia on 2026-10-29: raw wikitext for four spellings of the name and for Alex_Glynn answered HTTP 404; the rendered page answered 404; full-text searches for the quoted name and for its domain returned nothing. Recorded as a fact of the row."
 },
 "field_claims": {
  "F1": {
   "source": "B1",
   "locus": "Abstract",
   "quote": "Academ-AI documents examples of suspected undeclared AI usage in the academic literature, discernible primarily due to the appearance in research papers of idiosyncratic verbiage characteristic of large language model (LLM)-based chatbots.",
   "claim": "what it is: a documentation of suspected undeclared AI use in the literature, discernible mainly by chatbot verbiage",
   "modality": "stipulation",
   "kind": "definition",
   "kernel": true,
   "const": false,
   "lineage": "what it is",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 5504faf64b4ef0c8…), whitespace-normalised"
  },
  "F2": {
   "source": "B1",
   "locus": "Abstract",
   "quote": "The consensus of the academic publishing community is that such usage must be declared in the published article.",
   "claim": "the publishing community's consensus: AI use in writing must be declared in the article",
   "modality": "attributed",
   "kind": "attribution",
   "kernel": false,
   "const": false,
   "lineage": "the norm: declaration",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 5504faf64b4ef0c8…), whitespace-normalised"
  },
  "F3": {
   "source": "B1",
   "locus": "Abstract",
   "quote": "This analysis of the first 768 examples collected reveals that the problem is widespread, penetrating the journals, conference proceedings, and textbooks of highly respected publishers.",
   "claim": "the paper analyses the first 768 examples: the problem is widespread, in journals, proceedings and textbooks of highly respected publishers",
   "modality": "documented",
   "kind": "fact",
   "kernel": true,
   "const": false,
   "lineage": "the dataset paper: the first 768 cases",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 5504faf64b4ef0c8…), whitespace-normalised"
  },
  "F4": {
   "source": "B1",
   "locus": "Abstract",
   "quote": "Undeclared AI seems to appear in journals with higher citation metrics and higher article processing charges (APCs), precisely those outlets that should theoretically have the resources and expertise to avoid such oversights.",
   "claim": "undeclared AI seems to appear in journals with higher citation metrics and higher APCs",
   "modality": "interpretation",
   "kind": "interpretation",
   "kernel": false,
   "const": false,
   "lineage": "where it appears: higher APCs and citation metrics",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 5504faf64b4ef0c8…), whitespace-normalised"
  },
  "F5": {
   "source": "B1",
   "locus": "Abstract",
   "quote": "An extremely small minority of cases are corrected post publication, and the corrections are often insufficient to rectify the problem.",
   "claim": "an extremely small minority of cases are corrected, often insufficiently",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "after publication: corrections, formal and stealth",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 5504faf64b4ef0c8…), whitespace-normalised"
  },
  "F6": {
   "source": "B1",
   "locus": "Abstract",
   "quote": "The 768 examples analyzed here likely represent a small fraction of the undeclared AI present in the academic literature, much of which may be undetectable.",
   "claim": "the governing limit: the 768 are likely a small fraction; much undeclared AI may be undetectable",
   "modality": "self-description",
   "kind": "fact",
   "kernel": true,
   "const": false,
   "lineage": "the selection's limit: the detectable trace",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 5504faf64b4ef0c8…), whitespace-normalised"
  },
  "F7": {
   "source": "B1",
   "locus": "Abstract",
   "quote": "Publishers must enforce their policies against undeclared AI usage in cases that are detectable; this is the best defense currently available to the academic publishing community against the proliferation of undisclosed AI.",
   "claim": "publishers must enforce their policies where use is detectable, the best defence available",
   "modality": "interpretation",
   "kind": "interpretation",
   "kernel": false,
   "const": false,
   "lineage": "the call: enforcement",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 5504faf64b4ef0c8…), whitespace-normalised"
  },
  "F8": {
   "source": "B1",
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   "quote": "In: Arai, K., Lorenz, P. (eds) Intelligent Systems and Applications. IntelliSys 2026. Lecture Notes in Networks and Systems, vol 2077. Springer, Cham",
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  },
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  },
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   "quote": "the journals committing editorial oversights concerning AI are paradoxically paid more for editorial processing and achieve greater academic impact.",
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   "quote": "The examples on Academ-AI were predominantly identifiable due to characteristic turns of phrase, which are only reproduced in a manuscript when authors copy text directly from an AI system with little to no scrutiny.",
   "claim": "the examples were identifiable by turns of phrase that survive only where text is copied with little scrutiny",
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  },
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   "quote": "While this hypothesis is deeply troubling, it should not deter us from studying and contending with the examples that are observable",
   "claim": "the hypothesis of abundant undetectable edited AI text should not deter study of the observable examples",
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  },
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   "quote": "Since Academ-AI relies on manual search and examination, data may not be fully up to date or representative of undeclared AI in the literature as a whole.",
   "claim": "stated limit: manual search; data may not be up to date or representative",
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  },
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   "quote": "Coverage is limited to English-language literature indexed in online databases accessible to the author, principally Google Scholar.",
   "claim": "stated limit: English-language literature in databases accessible to the author, principally Google Scholar",
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  },
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   "locus": "Declarations, Data availability",
   "quote": "Glynn A. Academ-AI data dump. 10.6084/m9.figshare.29650481.v2 Figshare, 2025.",
   "claim": "a data dump on Figshare (10.6084/m9.figshare.29650481.v2), 2025",
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  },
  "F27": {
   "source": "B5",
   "locus": "References, 1",
   "quote": "Glynn A. Suspected Undeclared Use of Artificial Intelligence in the Academic Literature: An Analysis of the Academ-AI Dataset. arXiv. Preprint posted online November 20, 2024.",
   "claim": "v1's title: Suspected Undeclared Use of AI in the Academic Literature: An Analysis of the Academ-AI Dataset (20 November 2024)",
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  },
  "F28": {
   "source": "B6",
   "locus": "home page",
   "quote": "Welcome to Academ-AI Suspected undeclared AI usage in the academic literature",
   "claim": "the site's own heading: suspected undeclared AI usage in the academic literature",
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  },
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   "source": "B7",
   "locus": "About ¶1",
   "quote": "Academ-AI documents the adverse effects of artificial intelligence (AI) in academia, particularly suspected instances of AI being used to author research without appropriate declaration.",
   "claim": "what it is: it documents AI's adverse effects in academia, particularly suspected undeclared AI authorship of research",
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  },
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   "locus": "About ¶2",
   "quote": "The articles listed on this site have been identified based on phrases that strongly suggest AI use (highlighted in each quoted passage).",
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  },
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   "source": "B7",
   "locus": "About ¶3",
   "quote": "If you suspect the use of AI in a published research article, please reach out with:",
   "claim": "readers may submit suspected cases (citation, passage, name if credited)",
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  },
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   "locus": "About ¶4",
   "quote": "At present, I am documenting journal articles, conference papers/proceedings, books/chapters, and dissertations/theses only . Preprints, blog posts, and other media are out of scope at least for the time being.",
   "claim": "scope now: journal articles, conference papers, books and chapters, dissertations and theses; preprints, blog posts and other media out of scope",
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  },
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   "source": "B7",
   "locus": "Purpose",
   "quote": "it is impossible to say just how extensive the failure to report AI usage is, considering that many of its outputs may be undetectable, particularly if edited by human authors.",
   "claim": "the extent cannot be said; many outputs may be undetectable, especially if edited",
   "modality": "self-description",
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  },
  "F34": {
   "source": "B7",
   "locus": "Purpose",
   "quote": "the use of generative AI should not be disqualifying in and of itself, but failure to declare it should be considered a serious problem.",
   "claim": "use is not disqualifying; failure to declare is a serious problem",
   "modality": "interpretation",
   "kind": "interpretation",
   "kernel": false,
   "const": false,
   "lineage": "the norm: declaration",
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  },
  "F35": {
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   "locus": "Metadata",
   "quote": "Since the purpose of Academ-AI is to highlight publishing oversights, no attempt will be made to resolve these errors.",
   "claim": "publications cited with the publisher's metadata, even implausible; errors not resolved",
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   "lineage": "metadata as published",
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  },
  "F36": {
   "source": "B7",
   "locus": "Post-publication changes",
   "quote": "Occasionally, publishers appear to have retroactively corrected LLM-induced errors without informing readers. These instances are marked as “stealth revision.”",
   "claim": "silent publisher corrections are marked 'stealth revision'",
   "modality": "stipulation",
   "kind": "definition",
   "kernel": false,
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  },
  "F37": {
   "source": "B8",
   "locus": "¶1",
   "quote": "There’s also one tracking AI use in academic papers.",
   "claim": "a site tracking AI use in academic papers, beside the one tracking AI hallucinations in case filings",
   "modality": "interpretation",
   "kind": "attribution",
   "kernel": false,
   "const": false,
   "lineage": "its neighbours",
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  },
  "F38": {
   "source": "B8",
   "locus": "¶4",
   "quote": "The creator of this site is Alex Glynn, MA, Research Literacy and Communications Instructor at the Kornhauser Health Sciences Library, University of Louisville.",
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  },
  "F39": {
   "source": "B8",
   "locus": "¶5",
   "quote": "He also discusses what’s in scope that he’s tracking (journal articles, conference papers/proceedings, and books/chapters) and out of scope (theses, preprints, blog posts, and other media).",
   "claim": "scope as reported in August 2025: theses out of scope",
   "modality": "attributed",
   "kind": "fact",
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   "const": false,
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  },
  "F40": {
   "source": "B8",
   "locus": "¶6",
   "quote": "772 in all! That includes 633 journal articles, 111 conference papers, and 28 books and chapters.",
   "claim": "772 examples in August 2025: 633 journal articles, 111 conference papers, 28 books and chapters",
   "modality": "documented",
   "kind": "fact",
   "kernel": true,
   "const": false,
   "lineage": "its size",
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  },
  "F41": {
   "source": "B8",
   "locus": "¶8",
   "quote": "articles corrected or retracted without such a statement or simply noting that a change occurred without further explanation (which Academ-AI refers to as “stealth corrections”)",
   "claim": "the errata page's second category, 'stealth corrections' (as reported in August 2025)",
   "modality": "attributed",
   "kind": "definition",
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  },
  "F42": {
   "source": "B8",
   "locus": "¶9",
   "quote": "Elsevier (which was discussed in my post last year) has 34 examples, which is a lot. But the publisher with the most examples is the Institute of Electrical and Electronics Engineers, with a whopping 90!",
   "claim": "by publisher (August 2025): IEEE 90, Elsevier 34",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "by publisher",
   "quote_ok": true,
   "checked_against": "saved text B8.txt (sha256 de1f498bbf49a4c5…), whitespace-normalised"
  },
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   "source": "B2",
   "locus": "card snippet",
   "quote": "Core Offering: Academi.AI AI-powered study assistant (Samsung, Google, Adobe, Spotify, Dropbox partners). Features: AI-Powered Chat Tutor (personalized adaptive",
   "claim": "homonym Academi.AI: an AI-powered study assistant with a chat tutor",
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   "checked_against": "card snippet in the Capture Registry's cite_list (T1 card 2 (academ-ai-aio-20261029))"
  },
  "F44": {
   "source": "B3",
   "locus": "home page, opening",
   "quote": "Independent premium training for mastering Microsoft Copilot, ChatGPT, OpenAI, Perplexity, Claude, Grok, Ollama Local AI Lab, Codex, APIs, and practical AI workflows.",
   "claim": "homonym AcademAI: independent premium training in AI tools and workflows",
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  },
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   "source": "B3",
   "locus": "home page",
   "quote": "Learn practical AI skills with the free AI Fluency foundation course.",
   "claim": "AcademAI: a free AI Fluency foundation course; membership unlocks tracks, assessments, certificates",
   "modality": "documented",
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  },
  "F46": {
   "source": "B3",
   "locus": "home page, footer",
   "quote": "© 2026 AcademAI. Independent educational project.",
   "claim": "AcademAI: an independent educational project",
   "modality": "self-description",
   "kind": "fact",
   "kernel": true,
   "const": false,
   "lineage": "homonym: AcademAI",
   "quote_ok": true,
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  },
  "F47": {
   "source": "B4",
   "locus": "card snippet",
   "quote": "Platform: Academiq.ai unified AI education ecosystem with 150+ tools for teachers, students, parents, and institutions.",
   "claim": "homonym Academiq: an AI education ecosystem with 150+ tools",
   "modality": "stipulation",
   "kind": "definition",
   "kernel": true,
   "const": false,
   "lineage": "homonym: Academiq",
   "from": "snippet",
   "quote_ok": true,
   "checked_against": "card snippet in the Capture Registry's cite_list (T1 card 4 (academ-ai-aio-20261029))"
  }
 },
 "field_sources": {
  "B1": "arXiv — [2411.15218] Academ-AI: documenting the undisclosed use of generative artificial intelligence in academic publishing",
  "B2": "Academi.AI — Academi.AI",
  "B3": "academai.app — AcademAI — Premium AI Training Console",
  "B4": "Academiq — AI Education Platform | AI Tools for Teachers & Students – Academiq",
  "B5": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
  "B6": "the entity's own site, home page (301 to https://academ-ai.info/; a Nuxt page whose list of examples loads client-side) — https://www.academ-ai.info/",
  "B7": "the entity's own site, About page (reached from the home page's navigation: 'About') — https://www.academ-ai.info/about",
  "B8": "third-party article (eDiscovery Today, 2025-08-27, 'AI Use in Academic Papers? There's a Site for That Too') — https://ediscoverytoday.com/2025/08/27/ai-use-in-academic-papers-theres-a-site-for-that-too-artificial-intelligence-trends/"
 }
}