{
 "entity": "academ-ai",
 "name": "Academ-AI",
 "axn": {
  "axn": "AXN:0ABA.NON.🔝🔀🌳🎺🚨🔮",
  "root": "AXN:0ABA.NON",
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  "earlier_versions": []
 },
 "type": "C (public entity: an aggregator of machine-mediated reception work)",
 "type_code": "C",
 "type_label": "type C — a conventional reading holds it (public entity: an aggregator of machine-mediated reception work)",
 "case": "equal",
 "composition": {
  "composer_class": "session",
  "composer": "Claude (Opus 5.5), subagent, 2026-10-29",
  "source": "this row (composed directly; no rebuild/negative-of-the-negative/v09/academ-ai.json)",
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  "procedure": "EA-NEGONT-02 v0.9, #1690: equal case, ρ = extends, read from the archive's records of the entity (the MMRS meta-aggregator record of 2026-10-28, compiled 2026-10-29, and the Capture Registry's entry of 2026-10-29); no deposit names the entity (D/R: 0 candidates over 1,711 texts); O-class on 'documentation of undeclared AI use in academic publishing' (sourced: B1/B5, B7, B8) returns one candidate (#1540), not admitted; hop not run; one address, the field B its four cards with the entity's own pages (3) and the MMRS record's third-party source (1) admitted per the operator's ruling of 2026-10-29 and Wikipedia's absence recorded; no corrective exhibit; the composer read the ledgers, never the transcript, except where the brief asks for T's claims and the delta",
  "ledger": "unaudited (§3.8: one extractor per ledger; field quotes cut from saved page text or a Capture Registry card snippet, 47/47 verified by script; archive quotes verified verbatim 40/40 against census.json, articles.py and the registry's entry as loaded); contested within the field and carried both ways: whether theses are in scope (F32 against F39, with MMRS-05, MMRS-18), the errata label (F36 against F41, with MMRS-06, MMRS-19, MMRS-24)",
  "frozen": false,
  "composed": true
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 "reading": "A reader that fetches this page may stop short of its end; the entry's text, every sentence of its knowledge object with the claims it cites and each claim's quote, source and locus, is in entity.json beside it.",
 "service": {
  "name": "SPXI-gnΩsis",
  "url": "https://gnosis.spxi.dev/",
  "index": "https://gnosis.spxi.dev/v1/quote",
  "statement": "SPXI-gnΩsis opens pinned Wikipedia revisions sentence by sentence against the sources they cite (EA-WIKI-OPEN-01 v1.1, #1697); a commission consults the Crimson Hexagonal Archive by its own procedure and composes the entity's /non row, which lands here. Quotes are free: POST https://gnosis.spxi.dev/v1/quote with {oldid, tier: \"commission\"} or {object: {name, …}}."
 },
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  "name": "The Negative of the Negative (/non)",
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  "level_name": "Measurement",
  "url": "https://www.spxi.dev/methods/#m-0-16",
  "inventory": "https://www.spxi.dev/methods/",
  "statement": "SPXI instrument: method 0.16 of 87, level 0 (Measurement), The Negative of the Negative (/non).",
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 "citation": "Sharks, Lee. \"Academ-AI — The Negative of the Negative\" [AXN:0ABA.NON.🔝🔀🌳🎺🚨🔮], 2026-10-29. The Negative of the Negative (EA-NEGONT-02), Crimson Hexagonal Archive, Alexanarch. https://www.alexanarch.org/non/academ-ai/",
 "research": {
  "google": "https://www.google.com/search?q=Academ-AI",
  "google_non": "https://www.google.com/search?q=%22Academ-AI+%E2%80%94+The+Negative+of+the+Negative%22",
  "chatgpt": "https://chatgpt.com/?q=What+is+Academ-AI%3F+Ground+your+answer+in+a+reading+of+the+sources+themselves.",
  "chatgpt_non": "https://chatgpt.com/?q=What+does+%E2%80%9CAcadem-AI+%E2%80%94+The+Negative+of+the+Negative%E2%80%9D+%28alexanarch.org%2Fnon%29+say+about+Academ-AI%3F+Ground+your+answer+in+a+reading+of+the+entry+itself."
 },
 "entry": {
  "composed": true,
  "title": "Academ-AI",
  "genre": "knowledge object, equal case, under EA-NEGONT-02 v0.9 (#1690): the archive's sources and the field's admitted on equal terms, ontology included, in one claim space",
  "status": "composed 2026-10-29 under v0.9 (brief rebuild/negative-of-the-negative/v09/BRIEF-NEW-ROW-AGGREGATOR.md); not frozen; ledgers unaudited",
  "compression": {
   "title": "Academ-AI",
   "lede": "is Alex Glynn's database of published scholarship with suspected undeclared AI use, found by chatbot phrasing (MMRS record; About): \"Suspected undeclared AI usage in the academic literature\" (its home page)."
  },
  "sentences": [
   {
    "n": 1,
    "para": 0,
    "text": "Academ-AI is Alex Glynn's database of published scholarship with suspected undeclared use of AI, identified by chatbot phrasing and quoted with the phrases highlighted (MMRS record), and its own About page says it \"documents the adverse effects of artificial intelligence (AI) in academia, particularly suspected instances of AI being used to author research without appropriate declaration\" (academ-ai.info/about).",
    "claims": [
     "MMRS-01",
     "F29"
    ]
   },
   {
    "n": 2,
    "para": 0,
    "text": "Its home page heads it \"Suspected undeclared AI usage in the academic literature\" (academ-ai.info), and in his dataset paper Glynn writes \"I maintain a repository of examples known as Academ-AI\", which \"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\" (Glynn, arXiv:2411.15218).",
    "claims": [
     "F28",
     "F11",
     "F1"
    ]
   },
   {
    "n": 3,
    "para": 0,
    "text": "The MMRS record keeps the database apart from the paper, \"NOT only the dataset paper (arXiv:2411.15218): the paper analyses the database's first 768 cases\", and records its kind as database and its role as monitoring (MMRS record); the Capture Registry gives it as \"a database of cases, with an errata page and a publishers page\" (Capture Registry, 2026-10-29).",
    "claims": [
     "MMRS-29",
     "MMRS-14",
     "MMRS-15",
     "CAP-1-01"
    ]
   },
   {
    "n": 4,
    "para": 1,
    "text": "Alex Glynn made it: eDiscovery Today names him \"Research Literacy and Communications Instructor at the Kornhauser Health Sciences Library, University of Louisville\" (eDiscovery Today, 27 August 2025), the MMRS record gives him so, as a research literacy instructor, on that third-party basis (MMRS record), and the paper, \"Authors: Alex Glynn\", adds a second affiliation, the Meta-Research Innovation Center at Stanford (METRICS) (arXiv:2411.15218).",
    "claims": [
     "F38",
     "MMRS-02",
     "MMRS-13",
     "F10",
     "F12"
    ]
   },
   {
    "n": 5,
    "para": 2,
    "text": "An entry is a published work whose text carries phrasing that strongly suggests a chatbot wrote it, without any disclosure (MMRS record); the site's articles \"have been identified based on phrases that strongly suggest AI use (highlighted in each quoted passage)\" (academ-ai.info/about), and the record holds that it preserves the original outputs, \"quoted passages with the phrases highlighted\" (MMRS record).",
    "claims": [
     "MMRS-03",
     "MMRS-16",
     "F30",
     "MMRS-04",
     "MMRS-23"
    ]
   },
   {
    "n": 6,
    "para": 2,
    "text": "In the paper's method, \"Phrases characteristic of AI-generated text were used to query Google Scholar\" and \"Each result was manually examined and included or excluded according to the following criteria\" (arXiv:2411.15218); readers may also send a suspected case with its citation and passage (academ-ai.info/about).",
    "claims": [
     "F13",
     "F14",
     "F31"
    ]
   },
   {
    "n": 7,
    "para": 2,
    "text": "The scope is stated two ways at two dates: the About page now documents \"journal articles, conference papers/proceedings, books/chapters, and dissertations/theses only\", with preprints, blog posts and other media out of scope (academ-ai.info/about, read 2026-10-29), while eDiscovery Today reported theses out of scope in August 2025 (eDiscovery Today) and the MMRS record follows that report, \"theses, preprints and blog posts are excluded\" (MMRS record); the paper excluded \"Any medium other than journal articles, conference papers, and books\" (arXiv:2411.15218).",
    "claims": [
     "F32",
     "F39",
     "MMRS-05",
     "MMRS-18",
     "F15"
    ]
   },
   {
    "n": 8,
    "para": 2,
    "text": "It cites each publication with the publisher's metadata, even where implausible, and leaves the errors standing: \"Since the purpose of Academ-AI is to highlight publishing oversights, no attempt will be made to resolve these errors\" (academ-ai.info/about).",
    "claims": [
     "F35"
    ]
   },
   {
    "n": 9,
    "para": 3,
    "text": "Its size is dated: 772 examples in August 2025, 633 journal articles, 111 conference papers and 28 books and chapters (eDiscovery Today; MMRS record), and the record leaves \"the current count (the site refuses our fetcher)\" unchecked (MMRS record).",
    "claims": [
     "F40",
     "MMRS-17",
     "MMRS-22"
    ]
   },
   {
    "n": 10,
    "para": 3,
    "text": "The dataset paper was posted on 20 November 2024 as \"Suspected Undeclared Use of Artificial Intelligence in the Academic Literature: An Analysis of the Academ-AI Dataset\" and revised on 15 November 2025, with a journal reference in Springer's Lecture Notes in Networks and Systems (IntelliSys 2026); its dataset is \"768 published documents: 633 journal articles, 107 conference papers, and 28 book chapters\" (arXiv:2411.15218), which the MMRS record reads as the database's first 768 cases (MMRS record).",
    "claims": [
     "F8",
     "F27",
     "F9",
     "F16",
     "MMRS-08"
    ]
   },
   {
    "n": 11,
    "para": 3,
    "text": "The paper finds the problem \"widespread, penetrating the journals, conference proceedings, and textbooks of highly respected publishers\", and \"44% of the documents in the Academ-AI dataset make a similar reference to their training cutoff\" (arXiv:2411.15218).",
    "claims": [
     "F3",
     "F17"
    ]
   },
   {
    "n": 12,
    "para": 3,
    "text": "Undeclared AI \"seems to appear in journals with higher citation metrics and higher article processing charges (APCs)\"; \"approximately one in four of these evaded detection by a major publisher with an explicit policy against such content\", and the journals with the oversights \"are paradoxically paid more for editorial processing and achieve greater academic impact\" (arXiv:2411.15218), which the MMRS record carries as undeclared use found more often in journals with higher citation metrics and higher article charges (MMRS record).",
    "claims": [
     "F4",
     "F20",
     "F21",
     "MMRS-08"
    ]
   },
   {
    "n": 13,
    "para": 4,
    "text": "After publication \"An extremely small minority of cases are corrected\", the corrections often insufficient: 33 documents (4.3%) were altered, and \"Formal alteration is best practice, while stealth alteration compromises transparency and scientific integrity\" (arXiv:2411.15218); the site marks silent publisher corrections \"stealth revision\" (academ-ai.info/about), and its errata page, as eDiscovery Today reported it and the MMRS record gives it, separates corrections with formal explanations from \"stealth corrections\" (eDiscovery Today; MMRS record).",
    "claims": [
     "F5",
     "F18",
     "F19",
     "F36",
     "F41",
     "MMRS-06",
     "MMRS-19"
    ]
   },
   {
    "n": 14,
    "para": 4,
    "text": "A publishers page counts cases by publisher: in August 2025 IEEE led with 90 and Elsevier followed with 34 (eDiscovery Today; MMRS record).",
    "claims": [
     "F42",
     "MMRS-07"
    ]
   },
   {
    "n": 15,
    "para": 5,
    "text": "The norm it holds publications to is the publishing community's: \"such usage must be declared in the published article\" (arXiv:2411.15218); use \"should not be disqualifying in and of itself, but failure to declare it should be considered a serious problem\" (academ-ai.info/about), and \"Publishers must enforce their policies against undeclared AI usage in cases that are detectable\" (arXiv:2411.15218).",
    "claims": [
     "F2",
     "F34",
     "F7"
    ]
   },
   {
    "n": 16,
    "para": 6,
    "text": "Its unit is \"a detectable trace\" (MMRS record): the examples were identifiable by turns of phrase \"only reproduced in a manuscript when authors copy text directly from an AI system with little to no scrutiny\", and the 768 \"likely represent a small fraction of the undeclared AI present in the academic literature, much of which may be undetectable\" (arXiv:2411.15218), which the record gives as much undeclared use leaving no phrase behind (MMRS record).",
    "claims": [
     "MMRS-09",
     "F22",
     "F6",
     "MMRS-10"
    ]
   },
   {
    "n": 17,
    "para": 6,
    "text": "The site says \"it is impossible to say just how extensive the failure to report AI usage is\" (academ-ai.info/about); the paper holds, as a hypothesis, that lightly edited AI text may be abundant and undetectable, and that this \"should not deter us from studying and contending with the examples that are observable\", and it states its coverage: manual search, data that \"may not be fully up to date or representative\", and \"English-language literature indexed in online databases accessible to the author, principally Google Scholar\" (arXiv:2411.15218).",
    "claims": [
     "F33",
     "F23",
     "F24",
     "F25"
    ]
   },
   {
    "n": 18,
    "para": 6,
    "text": "Its data are deposited as \"Academ-AI data dump\" on Figshare (10.6084/m9.figshare.29650481.v2, 2025) (arXiv:2411.15218).",
    "claims": [
     "F26"
    ]
   },
   {
    "n": 19,
    "para": 7,
    "text": "eDiscovery Today sets it beside the site that tracks AI hallucinations in case filings, \"There’s also one tracking AI use in academic papers\" (eDiscovery Today), and the MMRS record places it with the Problematic Paper Screener as a record of machine composition entering the scholarly record unattributed, where \"the machine is the uncredited author, and the publisher is where the reception happens\", the neighbour that \"reads by phrase where the screener reads by detector\" (MMRS record).",
    "claims": [
     "F37",
     "MMRS-11",
     "MMRS-12"
    ]
   },
   {
    "n": 20,
    "para": 8,
    "text": "Its lifecycle is active, held apart from the observation that saw it, by the record's rule that \"lifecycle is kept apart from the observation that saw it\": on 2026-10-28 the record's fetch was \"blocked (robots.txt disallows our fetcher)\" (MMRS record).",
    "claims": [
     "MMRS-20",
     "MMRS-31",
     "MMRS-21"
    ]
   },
   {
    "n": 21,
    "para": 9,
    "text": "Three education products share the sound of the name and are distinct entities, \"NOT AcademAI, Academi.AI or Academiq (education products)\" (MMRS record): AcademAI (academai.app), \"Independent premium training for mastering Microsoft Copilot, ChatGPT, OpenAI, Perplexity, Claude, Grok, Ollama Local AI Lab, Codex, APIs, and practical AI workflows\", with \"the free AI Fluency foundation course\", an \"Independent educational project\" (academai.app); Academi.AI, an \"AI-powered study assistant\" with a chat tutor (its card); Academiq, a \"unified AI education ecosystem with 150+ tools for teachers, students, parents, and institutions\" (its card); the record glosses them as a training console, a study tutor and an education platform (MMRS record).",
    "claims": [
     "MMRS-28",
     "F44",
     "F45",
     "F46",
     "F43",
     "F47",
     "MMRS-25",
     "MMRS-26",
     "MMRS-27"
    ]
   },
   {
    "n": 22,
    "para": 9,
    "text": "The Capture Registry observed the three as \"the name's collision neighbours as the composition layer holds them\", which the record had not had, and the record took them into its disambiguation, where the entity itself is \"Alex Glynn, undeclared AI use, journal articles, errata, stealth corrections\" (Capture Registry, 2026-10-29; MMRS record).",
    "claims": [
     "CAP-1-05",
     "CAP-1-06",
     "CAP-1-09",
     "MMRS-24"
    ]
   },
   {
    "n": 23,
    "para": 10,
    "text": "At the address 'academ-ai' Google's AI Overview gave the paper as the entity, \"a research study and framework\", the site not among its cards, and \"Alex Glynn is not named\"; the registry reads the composition as made \"from the paper written about it, without its maker\", among three commercial homonyms, at a name its own site does not serve to crawlers, a finding checked against the MMRS record and the entity's own pages (Capture Registry, 2026-10-29; MMRS record).",
    "claims": [
     "CAP-1-02",
     "CAP-1-04",
     "CAP-1-08",
     "CAP-1-03",
     "CAP-1-07",
     "MMRS-30"
    ]
   }
  ],
  "claims": {
   "MMRS-01": {
    "kind": "archive",
    "quote": "Academ-AI is Alex Glynn's database of published scholarship with suspected undeclared use of AI, identified by chatbot phrasing and quoted with the phrases highlighted: 772 examples in August 2025 (633 journal articles, 111 conference papers, 28 books and chapters).",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "articles.py ARTICLES['academ-ai'], kernel",
    "modality": "stipulation",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "F29": {
    "kind": "field",
    "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.",
    "source": "B7",
    "source_label": "the entity's own site, About page (reached from the home page's navigation: 'About') — https://www.academ-ai.info/about",
    "locus": "About ¶1",
    "modality": "stipulation"
   },
   "F28": {
    "kind": "field",
    "quote": "Welcome to Academ-AI Suspected undeclared AI usage in the academic literature",
    "source": "B6",
    "source_label": "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/",
    "locus": "home page",
    "modality": "stipulation"
   },
   "F11": {
    "kind": "field",
    "quote": "I maintain a repository of examples known as Academ-AI (https://www.academ-ai.info/).",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "§1 Background",
    "modality": "self-description"
   },
   "F1": {
    "kind": "field",
    "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.",
    "source": "B1",
    "source_label": "arXiv — [2411.15218] Academ-AI: documenting the undisclosed use of generative artificial intelligence in academic publishing",
    "locus": "Abstract",
    "modality": "stipulation"
   },
   "MMRS-29": {
    "kind": "archive",
    "quote": "NOT only the dataset paper (arXiv:2411.15218): the paper analyses the database's first 768 cases",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "census.json rows[slug == 'academ-ai'].negative_tags[1]",
    "modality": "stipulation",
    "date": "2026-10-29 (added to the record of 2026-10-28 from the capture)"
   },
   "MMRS-14": {
    "kind": "archive",
    "quote": "database",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "census.json rows[slug == 'academ-ai'].kind",
    "modality": "stipulation",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "MMRS-15": {
    "kind": "archive",
    "quote": "monitoring",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "census.json rows[slug == 'academ-ai'].roles",
    "modality": "stipulation",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "CAP-1-01": {
    "kind": "archive",
    "quote": "Academ-AI is a database of cases, with an errata page and a publishers page; the paper analyses its first 768 examples.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry academ-ai-aio-20261029 (OBS-e884288abc5d, AXN:0AA4.CAPTURE.⏬🏺⛳🗼↙️🔺)",
    "record": "https://www.alexanarch.org/captures/academ-ai-aio-20261029/",
    "locus": "academ-ai-aio-20261029, findings[0]",
    "modality": "stipulation",
    "date": "2026-10-29"
   },
   "F38": {
    "kind": "field",
    "quote": "The creator of this site is Alex Glynn, MA, Research Literacy and Communications Instructor at the Kornhauser Health Sciences Library, University of Louisville.",
    "source": "B8",
    "source_label": "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/",
    "locus": "¶4",
    "modality": "documented"
   },
   "MMRS-02": {
    "kind": "archive",
    "quote": "Alex Glynn, a research literacy instructor at the University of Louisville's Kornhauser Health Sciences Library, built it.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "articles.py ARTICLES['academ-ai'], section 'What it is'",
    "modality": "documented",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "MMRS-13": {
    "kind": "archive",
    "quote": "Alex Glynn (Kornhauser Health Sciences Library, University of Louisville)",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "census.json rows[slug == 'academ-ai'].operator (evidence: eDiscovery Today, third-party)",
    "modality": "attributed",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "F10": {
    "kind": "field",
    "quote": "Authors: Alex Glynn",
    "source": "B1",
    "source_label": "arXiv — [2411.15218] Academ-AI: documenting the undisclosed use of generative artificial intelligence in academic publishing",
    "locus": "Authors",
    "modality": "documented"
   },
   "F12": {
    "kind": "field",
    "quote": "Kornhauser Health Sciences Library, University of Louisville, Louisville, KY, United States of America 2 Meta-Research Innovation Center at Stanford (METRICS), Stanford University",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "title page (affiliations)",
    "modality": "documented"
   },
   "MMRS-03": {
    "kind": "archive",
    "quote": "An entry is a published work whose text carries phrasing that strongly suggests a chatbot wrote it, without any disclosure.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "articles.py ARTICLES['academ-ai'], section 'What it is'",
    "modality": "stipulation",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "MMRS-16": {
    "kind": "archive",
    "quote": "published scholarly work with suspected undeclared AI use, identified mainly by chatbot phrasing",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "census.json rows[slug == 'academ-ai'].unit (evidence: arXiv:2411.15218, operator)",
    "modality": "stipulation",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "F30": {
    "kind": "field",
    "quote": "The articles listed on this site have been identified based on phrases that strongly suggest AI use (highlighted in each quoted passage).",
    "source": "B7",
    "source_label": "the entity's own site, About page (reached from the home page's navigation: 'About') — https://www.academ-ai.info/about",
    "locus": "About ¶2",
    "modality": "stipulation"
   },
   "MMRS-04": {
    "kind": "archive",
    "quote": "Each passage is quoted with the tell-tale phrases highlighted.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "articles.py ARTICLES['academ-ai'], section 'What it is'",
    "modality": "documented",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "MMRS-23": {
    "kind": "archive",
    "quote": "yes: quoted passages with the phrases highlighted",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "census.json rows[slug == 'academ-ai'].properties.preserves_original_outputs.value (third-party)",
    "modality": "attributed",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "F13": {
    "kind": "field",
    "quote": "Phrases characteristic of AI-generated text were used to query Google Scholar.",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "§2.1 Data collection",
    "modality": "documented"
   },
   "F14": {
    "kind": "field",
    "quote": "Each result was manually examined and included or excluded according to the following criteria.",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "§2.1 Data collection",
    "modality": "documented"
   },
   "F31": {
    "kind": "field",
    "quote": "If you suspect the use of AI in a published research article, please reach out with:",
    "source": "B7",
    "source_label": "the entity's own site, About page (reached from the home page's navigation: 'About') — https://www.academ-ai.info/about",
    "locus": "About ¶3",
    "modality": "documented"
   },
   "F32": {
    "kind": "field",
    "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.",
    "source": "B7",
    "source_label": "the entity's own site, About page (reached from the home page's navigation: 'About') — https://www.academ-ai.info/about",
    "locus": "About ¶4",
    "modality": "stipulation"
   },
   "F39": {
    "kind": "field",
    "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).",
    "source": "B8",
    "source_label": "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/",
    "locus": "¶5",
    "modality": "attributed"
   },
   "MMRS-05": {
    "kind": "archive",
    "quote": "Journal articles, conference papers and books are admitted; theses, preprints and blog posts are excluded.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "articles.py ARTICLES['academ-ai'], section 'What it is'",
    "modality": "documented",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "MMRS-18": {
    "kind": "archive",
    "quote": "flagged by phrasing that strongly suggests chatbot generation, quoted with the phrases highlighted; journal articles, conference papers and books admitted; theses, preprints and blog posts excluded",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "census.json rows[slug == 'academ-ai'].intake (evidence: eDiscovery Today, third-party)",
    "modality": "attributed",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "F15": {
    "kind": "field",
    "quote": "Any medium other than journal articles, conference papers, and books, such as preprints or technical reports.",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "§2.1.2 Exclusion criteria",
    "modality": "stipulation"
   },
   "F35": {
    "kind": "field",
    "quote": "Since the purpose of Academ-AI is to highlight publishing oversights, no attempt will be made to resolve these errors.",
    "source": "B7",
    "source_label": "the entity's own site, About page (reached from the home page's navigation: 'About') — https://www.academ-ai.info/about",
    "locus": "Metadata",
    "modality": "stipulation"
   },
   "F40": {
    "kind": "field",
    "quote": "772 in all! That includes 633 journal articles, 111 conference papers, and 28 books and chapters.",
    "source": "B8",
    "source_label": "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/",
    "locus": "¶6",
    "modality": "documented"
   },
   "MMRS-17": {
    "kind": "archive",
    "quote": "772 examples: 633 journal articles, 111 conference papers, 28 books and chapters",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "census.json rows[slug == 'academ-ai'].count (as of eDiscovery Today, 27 August 2025; third-party)",
    "modality": "attributed",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "MMRS-22": {
    "kind": "archive",
    "quote": "the current count (the site refuses our fetcher)",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "census.json rows[slug == 'academ-ai'].unchecked",
    "modality": "self-description",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "F8": {
    "kind": "field",
    "quote": "[Submitted on 20 Nov 2024 ( v1 ), last revised 15 Nov 2025 (this version, v2)]",
    "source": "B1",
    "source_label": "arXiv — [2411.15218] Academ-AI: documenting the undisclosed use of generative artificial intelligence in academic publishing",
    "locus": "submission history",
    "modality": "documented"
   },
   "F27": {
    "kind": "field",
    "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.",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "References, 1",
    "modality": "documented"
   },
   "F9": {
    "kind": "field",
    "quote": "In: Arai, K., Lorenz, P. (eds) Intelligent Systems and Applications. IntelliSys 2026. Lecture Notes in Networks and Systems, vol 2077. Springer, Cham",
    "source": "B1",
    "source_label": "arXiv — [2411.15218] Academ-AI: documenting the undisclosed use of generative artificial intelligence in academic publishing",
    "locus": "Journal reference",
    "modality": "documented"
   },
   "F16": {
    "kind": "field",
    "quote": "The dataset used for the present investigation comprised excerpts from 768 published documents: 633 journal articles, 107 conference papers, and 28 book chapters.",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "§3 Results",
    "modality": "documented"
   },
   "MMRS-08": {
    "kind": "archive",
    "quote": "Glynn's dataset paper (arXiv:2411.15218) analysed the first 768 examples and found undeclared use more often in journals with higher citation metrics and higher article charges.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "articles.py ARTICLES['academ-ai'], section 'What it records beyond the case'",
    "modality": "attributed",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "F3": {
    "kind": "field",
    "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.",
    "source": "B1",
    "source_label": "arXiv — [2411.15218] Academ-AI: documenting the undisclosed use of generative artificial intelligence in academic publishing",
    "locus": "Abstract",
    "modality": "documented"
   },
   "F17": {
    "kind": "field",
    "quote": "44% of the documents in the Academ-AI dataset make a similar reference to their training cutoff.",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "§3.1.1 Since my last update",
    "modality": "documented"
   },
   "F4": {
    "kind": "field",
    "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.",
    "source": "B1",
    "source_label": "arXiv — [2411.15218] Academ-AI: documenting the undisclosed use of generative artificial intelligence in academic publishing",
    "locus": "Abstract",
    "modality": "interpretation"
   },
   "F20": {
    "kind": "field",
    "quote": "approximately one in four of these evaded detection by a major publisher with an explicit policy against such content.",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "§3.8 Summary of findings",
    "modality": "documented"
   },
   "F21": {
    "kind": "field",
    "quote": "the journals committing editorial oversights concerning AI are paradoxically paid more for editorial processing and achieve greater academic impact.",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "§3.8 Summary of findings",
    "modality": "interpretation"
   },
   "F5": {
    "kind": "field",
    "quote": "An extremely small minority of cases are corrected post publication, and the corrections are often insufficient to rectify the problem.",
    "source": "B1",
    "source_label": "arXiv — [2411.15218] Academ-AI: documenting the undisclosed use of generative artificial intelligence in academic publishing",
    "locus": "Abstract",
    "modality": "documented"
   },
   "F18": {
    "kind": "field",
    "quote": "Thirty-three documents with suspected AI-generated content (4.3%) have been altered post publication",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "§3.3 Corrections and retractions",
    "modality": "documented"
   },
   "F19": {
    "kind": "field",
    "quote": "Formal alteration is best practice, while stealth alteration compromises transparency and scientific integrity.",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "§3.3 Corrections and retractions",
    "modality": "interpretation"
   },
   "F36": {
    "kind": "field",
    "quote": "Occasionally, publishers appear to have retroactively corrected LLM-induced errors without informing readers. These instances are marked as “stealth revision.”",
    "source": "B7",
    "source_label": "the entity's own site, About page (reached from the home page's navigation: 'About') — https://www.academ-ai.info/about",
    "locus": "Post-publication changes",
    "modality": "stipulation"
   },
   "F41": {
    "kind": "field",
    "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”)",
    "source": "B8",
    "source_label": "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/",
    "locus": "¶8",
    "modality": "attributed"
   },
   "MMRS-06": {
    "kind": "archive",
    "quote": "An errata page sorts what happened after: corrections with formal explanations, and \"stealth corrections\" made with none.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "articles.py ARTICLES['academ-ai'], section 'What it records beyond the case'",
    "modality": "documented",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "MMRS-19": {
    "kind": "archive",
    "quote": "an errata page separates corrections with formal explanations from 'stealth corrections'; a publishers page counts examples by publisher (IEEE 90, Elsevier 34 in August 2025)",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "census.json rows[slug == 'academ-ai'].note (evidence: eDiscovery Today, third-party)",
    "modality": "attributed",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "F42": {
    "kind": "field",
    "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!",
    "source": "B8",
    "source_label": "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/",
    "locus": "¶9",
    "modality": "documented"
   },
   "MMRS-07": {
    "kind": "archive",
    "quote": "A publishers page counts cases by publisher; in August 2025 IEEE led with 90 and Elsevier followed with 34.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "articles.py ARTICLES['academ-ai'], section 'What it records beyond the case'",
    "modality": "documented",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "F2": {
    "kind": "field",
    "quote": "The consensus of the academic publishing community is that such usage must be declared in the published article.",
    "source": "B1",
    "source_label": "arXiv — [2411.15218] Academ-AI: documenting the undisclosed use of generative artificial intelligence in academic publishing",
    "locus": "Abstract",
    "modality": "attributed"
   },
   "F34": {
    "kind": "field",
    "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.",
    "source": "B7",
    "source_label": "the entity's own site, About page (reached from the home page's navigation: 'About') — https://www.academ-ai.info/about",
    "locus": "Purpose",
    "modality": "interpretation"
   },
   "F7": {
    "kind": "field",
    "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.",
    "source": "B1",
    "source_label": "arXiv — [2411.15218] Academ-AI: documenting the undisclosed use of generative artificial intelligence in academic publishing",
    "locus": "Abstract",
    "modality": "interpretation"
   },
   "MMRS-09": {
    "kind": "archive",
    "quote": "The unit is a detectable trace.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "articles.py ARTICLES['academ-ai'], section 'What its selection leaves out'",
    "modality": "stipulation",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "F22": {
    "kind": "field",
    "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.",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "§4.1 Dark AI",
    "modality": "self-description"
   },
   "F6": {
    "kind": "field",
    "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.",
    "source": "B1",
    "source_label": "arXiv — [2411.15218] Academ-AI: documenting the undisclosed use of generative artificial intelligence in academic publishing",
    "locus": "Abstract",
    "modality": "self-description"
   },
   "MMRS-10": {
    "kind": "archive",
    "quote": "Glynn's paper says the cases found are likely a small fraction, since much undeclared use leaves no phrase behind.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "articles.py ARTICLES['academ-ai'], section 'What its selection leaves out'",
    "modality": "attributed",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "F33": {
    "kind": "field",
    "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.",
    "source": "B7",
    "source_label": "the entity's own site, About page (reached from the home page's navigation: 'About') — https://www.academ-ai.info/about",
    "locus": "Purpose",
    "modality": "self-description"
   },
   "F23": {
    "kind": "field",
    "quote": "While this hypothesis is deeply troubling, it should not deter us from studying and contending with the examples that are observable",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "§4.1 Dark AI",
    "modality": "hypothesis"
   },
   "F24": {
    "kind": "field",
    "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.",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "§4.2 Limitations",
    "modality": "self-description"
   },
   "F25": {
    "kind": "field",
    "quote": "Coverage is limited to English-language literature indexed in online databases accessible to the author, principally Google Scholar.",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "§4.2 Limitations",
    "modality": "self-description"
   },
   "F26": {
    "kind": "field",
    "quote": "Glynn A. Academ-AI data dump. 10.6084/m9.figshare.29650481.v2 Figshare, 2025.",
    "source": "B5",
    "source_label": "the dataset paper's full text, v2 (PDF, 15 Nov 2025; 24 pages), by the operator — https://arxiv.org/pdf/2411.15218v2",
    "locus": "Declarations, Data availability",
    "modality": "documented"
   },
   "F37": {
    "kind": "field",
    "quote": "There’s also one tracking AI use in academic papers.",
    "source": "B8",
    "source_label": "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/",
    "locus": "¶1",
    "modality": "interpretation"
   },
   "MMRS-11": {
    "kind": "archive",
    "quote": "With the Problematic Paper Screener it records machine composition entering the scholarly record unattributed: the machine is the uncredited author, and the publisher is where the reception happens.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "articles.py ARTICLES['academ-ai'], section 'Place in the field'",
    "modality": "interpretation",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "MMRS-12": {
    "kind": "archive",
    "quote": "It is the scholarly record's automated immune response, and the neighbour of Academ-AI, which reads by phrase where the screener reads by detector.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Problematic Paper Screener (https://www.machinemediation.org/aggregators/problematic-paper-screener/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "articles.py ARTICLES['problematic-paper-screener'], section 'Place in the field'",
    "modality": "interpretation",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "MMRS-20": {
    "kind": "archive",
    "quote": "active",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "census.json rows[slug == 'academ-ai'].lifecycle.state",
    "modality": "documented",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
   "MMRS-31": {
    "kind": "archive",
    "quote": "lifecycle is kept apart from the observation that saw it",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
    "locus": "census.json schema_note (v2, 2026-10-28)",
    "modality": "stipulation",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
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    "deposit": null,
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    "modality": "documented",
    "date": "2026-10-28 (compiled 2026-10-29)"
   },
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    "kind": "archive",
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    "deposit": null,
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    "date": "2026-10-29 (added to the record of 2026-10-28 from the capture)"
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    "modality": "stipulation"
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    "locus": "home page",
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    "source_label": "academai.app — AcademAI — Premium AI Training Console",
    "locus": "home page, footer",
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    "source": "B2",
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    "source": "B4",
    "source_label": "Academiq — AI Education Platform | AI Tools for Teachers & Students – Academiq",
    "locus": "card snippet",
    "modality": "stipulation"
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    "kind": "archive",
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    "deposit": null,
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    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
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    "kind": "archive",
    "quote": "study assistant, chat tutor",
    "deposit": null,
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    "date": "2026-10-29 (added to the record of 2026-10-28 from the capture)"
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    "deposit": null,
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    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
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   },
   "CAP-1-05": {
    "kind": "archive",
    "quote": "AcademAI (academai.app), Academi.AI and Academiq are the name's collision neighbours as the composition layer holds them; the record had none.",
    "deposit": null,
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    "deposit": null,
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    "deposit": null,
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    "record": "https://www.alexanarch.org/captures/academ-ai-aio-20261029/",
    "locus": "academ-ai-aio-20261029, analysis",
    "modality": "documented",
    "date": "2026-10-29"
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    "kind": "archive",
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    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Academ-AI (https://www.machinemediation.org/aggregators/academ-ai/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/academ-ai/",
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    "modality": "stipulation",
    "date": "2026-10-29 (added to the record of 2026-10-28 from the capture)"
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    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry academ-ai-aio-20261029 (OBS-e884288abc5d, AXN:0AA4.CAPTURE.⏬🏺⛳🗼↙️🔺)",
    "record": "https://www.alexanarch.org/captures/academ-ai-aio-20261029/",
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    "modality": "documented",
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    "kind": "archive",
    "quote": "Alex Glynn is not named.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry academ-ai-aio-20261029 (OBS-e884288abc5d, AXN:0AA4.CAPTURE.⏬🏺⛳🗼↙️🔺)",
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    "modality": "documented",
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    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry academ-ai-aio-20261029 (OBS-e884288abc5d, AXN:0AA4.CAPTURE.⏬🏺⛳🗼↙️🔺)",
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    "locus": "academ-ai-aio-20261029, analysis",
    "modality": "interpretation",
    "date": "2026-10-29"
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   "CAP-1-03": {
    "kind": "archive",
    "quote": "Checked 2026-10-29 against the MMRS meta-aggregator record of 2026-10-28 and the entity's own pages, re-read the same day.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry academ-ai-aio-20261029 (OBS-e884288abc5d, AXN:0AA4.CAPTURE.⏬🏺⛳🗼↙️🔺)",
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    "date": "2026-10-29"
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    "deposit": null,
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    "deposit": null,
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 },
 "source": "operator, 2026-10-29: 'we can simply build them here as against their wikipedia articles if they exist, their own pages, etc.'; 'lets build them'; the MMRS meta-aggregator entity",
 "stage": "composed 2026-10-29 under EA-NEGONT-02 v0.9, #1690, equal case, ρ = extends (draft, not frozen; ledgers unaudited, one extractor; every field and archive quote re-checked by the session)",
 "date": "2026-10-29",
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  "frozen": false,
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 "addresses": [
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   "address_url": "https://www.alexanarch.org/addresses/academ-ai/",
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 "counts": {
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  "archive_claims": 40,
  "ko_field_claims_cited": 47,
  "ko_archive_claims_cited": 40,
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   "D_deposits": 0,
   "R_sentences": 0,
   "R_deposits": 0,
   "O_direct": 0,
   "O_class": 1,
   "O_deposits": 1,
   "H_candidates": 0
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 "links": {
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  "table_of_contents": "https://www.alexanarch.org/non/index.json",
  "register": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/register.json",
  "row": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/rows/academ-ai.json",
  "archive_ledger": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/ledgers/academ-ai/ledger-archive.json",
  "field_ledger": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/ledgers/academ-ai/field.json",
  "selection": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/academ-ai/",
  "traversal": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/academ-ai/",
  "traversal_summary": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/academ-ai/summary.json",
  "reading": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/academ-ai/reading.json",
  "configuration": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/panel/configs/academ-ai.json",
  "address_page": "https://www.alexanarch.org/addresses/academ-ai/",
  "mmrs_record": "https://www.machinemediation.org/aggregators/academ-ai/",
  "dataset": "https://huggingface.co/datasets/leesharks/negative-of-the-negative"
 },
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 "json_url": "https://www.alexanarch.org/non/academ-ai/entity.json",
 "spec": "https://www.alexanarch.org/s/records/1690/",
 "creator": "Lee Sharks",
 "orcid": "0009-0000-1599-0703",
 "license": "CC BY 4.0"
}