{ "entity": "problematic-paper-screener", "name": "Problematic Paper Screener", "axn": { "axn": "AXN:0AC8.NON.↖️🌇🎻🪦⚫🕓", "root": "AXN:0AC8.NON", "hex": "0AC8", "family": "NON", "row_sha256": "dde48afdc86513fcf96c9df36a701c71b61f63d187a49ca074ffd897a37f3f45", "minted": "2026-10-29", "resolver": "https://www.alexanarch.org/s/axn/0AC8/", "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/problematic-paper-screener.json)", "spec": "EA-NEGONT-02 v0.9, #1690", "epoch": "2026-10-29", "procedure": "EA-NEGONT-02 v0.9, #1690: equal case, ρ = extends, read from the MMRS record, the capture record and #741; archive selected by D/R/O (no D or R candidate; O-class 33 sentences in 23 deposits, one deposit admitted, #741 at O; hop of 5 read and rejected), with the MMRS record (26 claims) and the Capture Registry's findings, analysis and q_kind (7 claims) ledgered as the archive's records of the entity; the field B by three origins (6 card sources for 6 cards, 1 own page unreachable, Wikipedia: no article); 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 41/41 verified by script against saved text or the oEmbed title; archive quotes 36/36 verified verbatim against the registry, census.json, articles.py and AXN-0291; carried as marked: CAP-1-03 and CAP-1-05 with defects noted, MMRS-18/MMRS-26 dated against F21", "frozen": false, "composed": true }, "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, …}}." }, "spxi_instrument": { "method": "0.16", "name": "The Negative of the Negative (/non)", "level": 0, "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).", "also": [] }, "citation": "Sharks, Lee. \"Problematic Paper Screener — The Negative of the Negative\" [AXN:0AC8.NON.↖️🌇🎻🪦⚫🕓], 2026-10-29. The Negative of the Negative (EA-NEGONT-02), Crimson Hexagonal Archive, Alexanarch. https://www.alexanarch.org/non/problematic-paper-screener/", "research": { "google": "https://www.google.com/search?q=Problematic+Paper+Screener", "google_non": "https://www.google.com/search?q=%22Problematic+Paper+Screener+%E2%80%94+The+Negative+of+the+Negative%22", "chatgpt": "https://chatgpt.com/?q=What+is+Problematic+Paper+Screener%3F+Ground+your+answer+in+a+reading+of+the+sources+themselves.", "chatgpt_non": "https://chatgpt.com/?q=What+does+%E2%80%9CProblematic+Paper+Screener+%E2%80%94+The+Negative+of+the+Negative%E2%80%9D+%28alexanarch.org%2Fnon%29+say+about+Problematic+Paper+Screener%3F+Ground+your+answer+in+a+reading+of+the+entry+itself." }, "entry": { "composed": true, "title": "The Problematic Paper Screener", "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": "Problematic Paper Screener", "lede": "is an online platform, run by Guillaume Cabanac with Cyril Labbé and Alexander Magazinov since 27 February 2021, that screens the scientific literature for papers generated or disguised by tools and for references to retracted work, pairing machine detection with human assessment (MMRS record; arXiv:2210.04895)." }, "sentences": [ { "n": 1, "para": 0, "text": "The Problematic Paper Screener (PPS) is an online platform, in its makers' paper, that combines automatic machine detection with human assessment to identify and flag already published problematic articles (arXiv:2210.04895); its own page says it screens the scientific literature for papers (partly) generated with tortured phrases, SCIgen and Mathgen, and the MMRS record has it run by Guillaume Cabanac with Cyril Labbé and Alexander Magazinov since 27 February 2021, scanning the literature weekly for papers generated or disguised by tools and for references to retracted work, at the address dbrech.irit.fr.", "claims": [ "F30", "F1", "MMRS-01", "MMRS-11", "MMRS-12" ] }, { "n": 2, "para": 0, "text": "Its unit, in the MMRS record, is a published paper flagged by a detector; CCSD, announcing Episciences' adoption, describes what it provides as a database of over one million references identified as containing problematic elements, typed by severity from articles written entirely by AI to valid articles whose references carry anomalies (\"Feet of clay\").", "claims": [ "MMRS-16", "F37" ] }, { "n": 3, "para": 1, "text": "The page dates the screener \"Est. February 27th, 2021\" and gives its reference as Cabanac, Labbé and Magazinov (2022), presented at WCRI 2022, the 7th World Conference on Research Integrity; the paper was submitted to arXiv on 7 October 2022 by those three authors, and the MMRS record gives the same three as operator and the same founding date.", "claims": [ "F4", "F7", "F32", "MMRS-13", "MMRS-14" ] }, { "n": 4, "para": 1, "text": "Writing in The Conversation (29 January 2025) as \"a pair of computer scientists at Université de Toulouse and Université Grenoble Alpes\" who specialize in detecting bogus publications, Cabanac and Labbé say that Cabanac built the automated tool, and their disclosure names him its administrator: \"a public platform that uses metadata from Digital Science and PubPeer via no-cost agreements\".", "claims": [ "F14", "F15", "F27" ] }, { "n": 5, "para": 1, "text": "The page says it was \"Featured in the Nature's 10 list of 2021\"; The Conversation says it \"was named one of 10 key developments in science by the journal Nature in 2021\".", "claims": [ "F8", "F20" ] }, { "n": 6, "para": 2, "text": "The MMRS record calls it a set of detectors run over the literature: tortured phrases, SCIgen and Mathgen papers, references annulled or under concern, and others; the page's menu, updated 2026-10-28, lists ten (Annulled, Concerning, Feet of Clay, Tortured, Suspect, SCIgen, Mathgen, Citejacked, Seek&Blastn, Problematic Cell Lines), and The Conversation, in January 2025, counted eight beside tortured phrases, among them ChatGPT fingerprints, \"snippets of telltale text left behind by the AI agent\".", "claims": [ "MMRS-02", "F6", "F16", "F17" ] }, { "n": 7, "para": 2, "text": "Tortured phrases are, in the makers' article, nonsensical word sequences found \"littered throughout reputable scientific journals\", which \"typically result from using paraphrasing tools to evade plagiarism-detection software\": \"the Joined Together States\" for the United States, the record's example too; the screener's page quotes Nature's post of 8 August 2021: \"Why say 'colossal information' instead of big data? Or 'counterfeit consciousness' instead of artificial intelligence?\"", "claims": [ "F12", "F13", "MMRS-02", "F10" ] }, { "n": 8, "para": 2, "text": "Its bibliographic detectors screen the articles citing retracted references, references marked with expressions of concern and references the screener's own detectors flag (its page), the one that finds articles citing retracted works named \"Feet of Clay\" (The Conversation); for a research question the MMRS record codes it as recording attribution partly, since references to retracted or concerning works are flagged.", "claims": [ "F2", "F23", "MMRS-20" ] }, { "n": 9, "para": 3, "text": "It harvests the APIs of Crossref, \"now including the Retraction Watch Database\", Dimensions, PubMed and PubPeer (its page), the sources and intake the MMRS record states with the screener's page as basis.", "claims": [ "F3", "MMRS-03", "MMRS-17" ] }, { "n": 10, "para": 3, "text": "It trawls \"130 million scholarly papers every week\" for signs of paper-mill production (The Conversation's standfirst, the article saying the same of Cabanac's tool), the weekly scan of 130 million publications the MMRS record gives as its cadence.", "claims": [ "F11", "F15", "MMRS-04", "MMRS-19" ] }, { "n": 11, "para": 4, "text": "Its makers start from the claim that post-publication assessment \"remains necessary to check erroneous or fraudulent scientific publications\" and present the screener as \"a new effective tool to curate the scientific literature\" (arXiv:2210.04895); Research Signals describes it as an academic project led by Cabanac and collaborators that \"combines automatic machine detection and human evaluation\".", "claims": [ "F29", "F31", "F33" ] }, { "n": 12, "para": 4, "text": "\"Problematic papers are reported on PubPeer\" (its page).", "claims": [ "F5" ] }, { "n": 13, "para": 5, "text": "By The Conversation's count it had found nearly 19,000 papers with at least five tortured phrases each, more than 280 SCIgen papers, more than 764,000 articles citing retracted works (about 5,000 with five or more), and more than 70 papers carrying ChatGPT fingerprints such as \"Regenerate Response\"; the MMRS record carries the same figures, dated \"The Conversation, 31 January 2025\", where the article at theconversation.com is dated 29 January 2025.", "claims": [ "F21", "F22", "F23", "F24", "MMRS-05", "MMRS-18", "MMRS-26" ] }, { "n": 14, "para": 6, "text": "Its makers state the limit of the fingerprint count themselves: those papers are \"the tip of the tip of the iceberg\", output \"copy-pasted wholesale into papers without any editing (or even reading)\", and \"The challenge is to identify cases where chatbots are used not just for language-editing purposes but to generate content – essentially fabricating data.\"", "claims": [ "F25", "F26" ] }, { "n": 15, "para": 6, "text": "The MMRS record extends that limit to the whole instrument: \"A detector finds what leaves a fingerprint\", and \"Text machine-written cleanly, or cited sources that exist but say something else, pass beneath it.\"", "claims": [ "MMRS-07", "MMRS-08" ] }, { "n": 16, "para": 6, "text": "The archive's The Evaluator Exists (#741, 19 May 2026) reads the class the screener works on, paper-mill output, as proxy gaming at industrial scale, \"thousands of fraudulent publications that enter the citation network and accumulate proxy signals indistinguishable from legitimate scholarship\", holds that under the proxy regime \"gaming is hard to detect because the signals being gamed are themselves opaque\", and sets against it an evaluator that synthetic scholarship must get past by reading, with \"empirical claims that survive a citation audit\".", "claims": [ "O741-01", "O741-02", "O741-03", "F11" ] }, { "n": 17, "para": 7, "text": "Several publishers use it, by its makers' account, some inside the editorial workflow to spot suspect papers upfront, and it \"has been instrumental in more than 1,000 retractions\"; analytics companies have used it to pick out suspect authors among highly cited researchers, Cabanac has offered pro bono consulting on detection tools to actors including ClearSkies, Morressier, River Valley, Signals and STM (The Conversation), and the MMRS record says it has contributed to more than 1,000 retractions.", "claims": [ "F18", "F19", "F28", "MMRS-06" ] }, { "n": 18, "para": 7, "text": "On 20 June 2024 Research Signals integrated the articles it flags into the Signals Graph as a new signal, \"over 12,000 problematic publications that have not been retracted\", cited more than 160,000 times, to give sleuths, publishers and researchers visibility of them.", "claims": [ "F34", "F35" ] }, { "n": 19, "para": 7, "text": "On 3 July 2026 CCSD announced that Episciences analyses citations extracted from articles against the PPS database, at submission and after publication, displaying problematic citations for correction or information; of nearly 170,000 references in a first extraction, 226 were indexed in the PPS, most in the Feet of clay category.", "claims": [ "F38", "F39", "F40" ] }, { "n": 20, "para": 7, "text": "The same announcement describes the screener as a tool to identify and filter out articles \"containing methodological errors, plagiarism, data manipulation, or conflicts of interest\", a description that stands beside the screener's own list of detectors.", "claims": [ "F36", "F1", "F6" ] }, { "n": 21, "para": 8, "text": "The MMRS record files it as a monitor and calls it \"the scholarly record's automated immune response\", the neighbour of Academ-AI, \"which reads by phrase where the screener reads by detector\"; with the screener, its Academ-AI record says, that database records \"machine composition entering the scholarly record unattributed: the machine is the uncredited author, and the publisher is where the reception happens.\"", "claims": [ "MMRS-15", "MMRS-09", "MMRS-10" ] }, { "n": 22, "para": 9, "text": "The MMRS record keeps itself apart from the entity, each assertion with a source and a basis and the lifecycle (active) apart from the observation (read, 2026-10-28); it read the screener's page for detectors, sources and start date, leaves the licence unchecked, and relates the capture of 2026-10-29 as the composition layer's account of the entity; the page itself was last updated on 2026-10-28 at 15:54.", "claims": [ "MMRS-23", "MMRS-21", "MMRS-24", "MMRS-22", "MMRS-25", "F9" ] }, { "n": 23, "para": 10, "text": "Google's AI Overview at the name, signed out, 2026-10-29, gave the three makers, the sources and the detectors as the IRIT page and the record give them, and composed the screener at its makers' grain, with its human review stage stated and its uptake by publishers' infrastructure added (Capture Registry, 2026-10-29, checked against the MMRS record and the entity's own pages); no card cited the record, which was published the same night.", "claims": [ "CAP-1-01", "CAP-1-02", "CAP-1-06", "CAP-1-07" ] }, { "n": 24, "para": 10, "text": "The Capture Registry records the Overview's example of a tortured phrase, \"counterfeit consciousness\" for artificial intelligence, as the composition's, the record's being \"Joined Together States\", not checked against the screener's list; the example stands on the screener's own page, in Nature's post of 8 August 2021.", "claims": [ "CAP-1-03", "CAP-1-04", "F10" ] }, { "n": 25, "para": 10, "text": "The adoptions the Overview carried, Episciences and the Signals Graph, are uptake the MMRS record lacked (Capture Registry, 2026-10-29); the rail's sixth card is Crossref's video \"Exploring Retraction Watch Data in Crossref 2025-05-09\", admitted by its title.", "claims": [ "CAP-1-05", "F41" ] } ], "claims": { "F30": { "kind": "field", "quote": "We present an online platform, the 'Problematic Paper Screener' (this https URL) that leverages both automatic machine detection and human assessment to identify and flag already published problematic articles.", "source": "B3", "source_label": "arXiv — [2210.04895] The 'Problematic Paper Screener' automatically selects suspect publications for post-publication (re)assessment", "locus": "Abstract s2", "modality": "stipulation" }, "F1": { "kind": "field", "quote": "The PPS website screens the scientific literature for papers (partly) generated with: … Tortured phrases … SCIgen … Mathgen", "source": "B1", "source_label": "Institut de Recherche en Informatique de Toulouse - IRIT — PPS – Problematic Paper Screener", "locus": "Info (opening)", "modality": "stipulation" }, "MMRS-01": { "kind": "archive", "quote": "The Problematic Paper Screener, run by Guillaume Cabanac with Cyril Labbé and Alexander Magazinov since 27 February 2021, scans the scientific literature weekly for papers generated or disguised by tools (tortured phrases, SCIgen, Mathgen) and for references to retracted work.", "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/problematic-paper-screener/", "locus": "articles.py ARTICLES['problematic-paper-screener'], kernel", "modality": "stipulation", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-11": { "kind": "archive", "quote": "PPS", "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/problematic-paper-screener/", "locus": "census: aka", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-12": { "kind": "archive", "quote": "https://dbrech.irit.fr/pls/apex/f?p=9999:1", "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/problematic-paper-screener/", "locus": "census: url", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-16": { "kind": "archive", "quote": "published paper flagged by a detector (tortured phrases, SCIgen, Mathgen, retracted or concerning references, and others)", "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/problematic-paper-screener/", "locus": "census: unit (evidence: dbrech.irit.fr, basis operator)", "modality": "stipulation", "date": "2026-10-28 (corrected 2026-10-29)" }, "F37": { "kind": "field", "quote": "Developed by G. Cabanac, C. Labbé, and A. Magazinov , it provides a database of over one million references identified as containing problematic elements, categorised according to a typology that distinguishes between anomalies of varying severity – ranging from articles written entirely by AI to articles that are valid but contain references with anomalies (“Feet of clay”).", "source": "B5", "source_label": "ccsd.cnrs.fr — Episciences Adopts Problematic Paper Screener as a Tool for Verifying ... - CCSD", "locus": "¶2", "modality": "documented" }, "F4": { "kind": "field", "quote": "Est. February 27th, 2021", "source": "B1", "source_label": "Institut de Recherche en Informatique de Toulouse - IRIT — PPS – Problematic Paper Screener", "locus": "heading", "modality": "documented" }, "F7": { "kind": "field", "quote": "Cabanac, G., Labbé, C., & Magazinov, A. (2022). The ‘Problematic Paper Screener’ automatically selects suspect publications for post-publication (re)assessment. … Presented at WCRI 2022: 7th World Conference on Research Integrity.", "source": "B1", "source_label": "Institut de Recherche en Informatique de Toulouse - IRIT — PPS – Problematic Paper Screener", "locus": "Reference", "modality": "documented" }, "F32": { "kind": "field", "quote": "Authors:Guillaume Cabanac, Cyril Labbé, Alexander Magazinov … [Submitted on 7 Oct 2022] … Presented at WCRI 2022: 7th World Conference on Research Integrity, Cape Town, South Africa. 29 May -- 1 June 2022", "source": "B3", "source_label": "arXiv — [2210.04895] The 'Problematic Paper Screener' automatically selects suspect publications for post-publication (re)assessment", "locus": "header and Comments", "modality": "documented" }, "MMRS-13": { "kind": "archive", "quote": "Guillaume Cabanac, Cyril Labbé, Alexander Magazinov", "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/problematic-paper-screener/", "locus": "census: operator (evidence: dbrech.irit.fr, basis operator)", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-14": { "kind": "archive", "quote": "27 February 2021", "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/problematic-paper-screener/", "locus": "census: founded", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "F14": { "kind": "field", "quote": "We are a pair of computer scientists at Université de Toulouse and Université Grenoble Alpes, both in France, who specialize in detecting bogus publications.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "¶3", "modality": "self-description" }, "F15": { "kind": "field", "quote": "One of us, Guillaume Cabanac, has built an automated tool that combs through 130 million scientific publications every week and flags those containing tortured phrases.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "¶3", "modality": "documented" }, "F27": { "kind": "field", "quote": "He is the administrator of the Problematic Paper Screener, a public platform that uses metadata from Digital Science and PubPeer via no-cost agreements.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "Disclosure statement", "modality": "documented" }, "F8": { "kind": "field", "quote": "Featured in the Nature's 10 list of 2021 that ‘explores key developments in science this year.’", "source": "B1", "source_label": "Institut de Recherche en Informatique de Toulouse - IRIT — PPS – Problematic Paper Screener", "locus": "Reference", "modality": "documented" }, "F20": { "kind": "field", "quote": "It was named one of 10 key developments in science by the journal Nature in 2021.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "¶5", "modality": "documented" }, "MMRS-02": { "kind": "archive", "quote": "It is a set of detectors run over the literature: tortured phrases (the output of paraphrasing tools, such as \"Joined Together States\" for \"United States\"), SCIgen and Mathgen papers, references that are annulled or under concern, and others.", "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/problematic-paper-screener/", "locus": "articles.py ARTICLES['problematic-paper-screener'], What it is s1", "modality": "stipulation", "date": "2026-10-28 (corrected 2026-10-29)" }, "F6": { "kind": "field", "quote": "Detectors: … Annulled … Concerning … Feet of Clay … Tortured … Suspect … SCIgen … Mathgen … Citejacked … Seek&Blastn … Problematic Cell Lines", "source": "B1", "source_label": "Institut de Recherche en Informatique de Toulouse - IRIT — PPS – Problematic Paper Screener", "locus": "menu, Detectors", "modality": "documented" }, "F16": { "kind": "field", "quote": "The Problematic Paper Screener also includes eight other detectors, each of which looks for a specific type of problematic content.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "¶4", "modality": "documented" }, "F17": { "kind": "field", "quote": "In addition to tortured phrases, the Problematic Paper Screener flags ChatGPT fingerprints: snippets of telltale text left behind by the AI agent.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "figure caption", "modality": "documented" }, "F12": { "kind": "field", "quote": "These nonsensical, and sometimes amusing, word sequences are among thousands of “tortured phrases” that sleuths have found littered throughout reputable scientific journals. … They typically result from using paraphrasing tools to evade plagiarism-detection software when stealing someone else’s text.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "¶1–2", "modality": "stipulation" }, "F13": { "kind": "field", "quote": "Have you ever heard of the Joined Together States? … The phrases above are real examples of bungled synonyms for the United States, breast cancer, kidney failure, artificial neural networks, and lactose intolerance, respectively.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "¶1–2", "modality": "documented" }, "F10": { "kind": "field", "quote": "Why say 'colossal information' instead of big data? Or 'counterfeit consciousness' instead of artificial intelligence? These tortured phases in research articles could be evidence of a new and disturbing fabrication trend.", "source": "B1", "source_label": "Institut de Recherche en Informatique de Toulouse - IRIT — PPS – Problematic Paper Screener", "locus": "Key highlights, embedded post by Nature (8 August 2021)", "modality": "attributed" }, "F2": { "kind": "field", "quote": "... and issues in the bibliographies of articles citing: … Retracted references … References marked with expressions of concern … References flagged by the PPS detectors", "source": "B1", "source_label": "Institut de Recherche en Informatique de Toulouse - IRIT — PPS – Problematic Paper Screener", "locus": "Info", "modality": "stipulation" }, "F23": { "kind": "field", "quote": "More than 764,000 articles that cite retracted works that could be unreliable. About 5,000 of these articles have at least five retracted references listed in their bibliographies. We called the software that finds these the “Feet of Clay” detector", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "findings list, item 3", "modality": "documented" }, "MMRS-20": { "kind": "archive", "quote": "partly: references to retracted or concerning works are flagged", "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/problematic-paper-screener/", "locus": "census: properties.records_attribution (basis operator)", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "F3": { "kind": "field", "quote": "Harvesting data from these APIs: … Crossref, now including the Retraction Watch Database … Dimensions, see our webinar and the associated blog post … PubMed … PubPeer", "source": "B1", "source_label": "Institut de Recherche en Informatique de Toulouse - IRIT — PPS – Problematic Paper Screener", "locus": "Info", "modality": "documented" }, "MMRS-03": { "kind": "archive", "quote": "Its sources are Crossref with the Retraction Watch Database, Dimensions, PubMed and PubPeer.", "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/problematic-paper-screener/", "locus": "articles.py ARTICLES['problematic-paper-screener'], What it is s2", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-17": { "kind": "archive", "quote": "automated detectors over Crossref (with the Retraction Watch Database), Dimensions, PubMed and PubPeer", "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/problematic-paper-screener/", "locus": "census: intake (evidence: dbrech.irit.fr, basis operator)", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "F11": { "kind": "field", "quote": "The Problematic Paper Screener trawls through 130 million scholarly papers every week looking for telltale signs that papers were produced by paper mills.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "standfirst", "modality": "documented" }, "MMRS-04": { "kind": "archive", "quote": "It scans 130 million publications a week.", "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/problematic-paper-screener/", "locus": "articles.py ARTICLES['problematic-paper-screener'], What it is s3", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-19": { "kind": "archive", "quote": "weekly scan of 130 million publications", "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/problematic-paper-screener/", "locus": "census: cadence (evidence: The Conversation via univ-grenoble-alpes.fr, basis operator)", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "F29": { "kind": "field", "quote": "Post publication assessment remains necessary to check erroneous or fraudulent scientific publications.", "source": "B3", "source_label": "arXiv — [2210.04895] The 'Problematic Paper Screener' automatically selects suspect publications for post-publication (re)assessment", "locus": "Abstract s1", "modality": "interpretation" }, "F31": { "kind": "field", "quote": "We provide a new effective tool to curate the scientific literature.", "source": "B3", "source_label": "arXiv — [2210.04895] The 'Problematic Paper Screener' automatically selects suspect publications for post-publication (re)assessment", "locus": "Abstract s3", "modality": "self-description" }, "F33": { "kind": "field", "quote": "The Problematic Paper Screener, an academic project led by Guillaume Cabanac and collaborators, combines automatic machine detection and human evaluation to identify issues in publications, including the presence of tortured phrases.", "source": "B4", "source_label": "Research Signals — Problematic Paper Screener: a new signal to help protect research integrity – Signals", "locus": "¶2", "modality": "attributed" }, "F5": { "kind": "field", "quote": "Problematic papers are reported on PubPeer, see the tortured phrases and more.", "source": "B1", "source_label": "Institut de Recherche en Informatique de Toulouse - IRIT — PPS – Problematic Paper Screener", "locus": "Info", "modality": "documented" }, "F21": { "kind": "field", "quote": "Nearly 19,000 papers containing at least five tortured phrases each.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "findings list, item 1", "modality": "documented" }, "F22": { "kind": "field", "quote": "More than 280 gibberish papers – some still in circulation – written entirely by the spoof SCIgen program that Massachusetts Institute of Technology students came up with nearly 20 years ago.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "findings list, item 2", "modality": "documented" }, "F24": { "kind": "field", "quote": "More than 70 papers containing ChatGPT “fingerprints” with obvious signs such as “Regenerate Response” or “As an AI language model, I cannot …” in the text.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "findings list, item 4", "modality": "documented" }, "MMRS-05": { "kind": "archive", "quote": "By January 2025: nearly 19,000 papers with five or more tortured phrases, more than 280 SCIgen papers, more than 70 with ChatGPT fingerprints, and more than 764,000 articles citing retracted work.", "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/problematic-paper-screener/", "locus": "articles.py ARTICLES['problematic-paper-screener'], What it has found s1", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-18": { "kind": "archive", "quote": "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", "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/problematic-paper-screener/", "locus": "census: count (as_of; evidence: The Conversation via univ-grenoble-alpes.fr, basis operator)", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-26": { "kind": "archive", "quote": "The Conversation, 31 January 2025", "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/problematic-paper-screener/", "locus": "census: count.as_of", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "F25": { "kind": "field", "quote": "These articles represent the tip of the tip of the iceberg: They are cases where ChatGPT output has been copy-pasted wholesale into papers without any editing (or even reading) and has also slipped past peer reviewers and journal editors alike.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "findings list, item 4", "modality": "self-description" }, "F26": { "kind": "field", "quote": "The challenge is to identify cases where chatbots are used not just for language-editing purposes but to generate content – essentially fabricating data.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "findings list, item 4", "modality": "interpretation" }, "MMRS-07": { "kind": "archive", "quote": "A detector finds what leaves a fingerprint.", "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/problematic-paper-screener/", "locus": "articles.py ARTICLES['problematic-paper-screener'], What its selection leaves out s1", "modality": "interpretation", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-08": { "kind": "archive", "quote": "Text machine-written cleanly, or cited sources that exist but say something else, pass beneath it.", "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/problematic-paper-screener/", "locus": "articles.py ARTICLES['problematic-paper-screener'], What its selection leaves out s2", "modality": "interpretation", "date": "2026-10-28 (corrected 2026-10-29)" }, "O741-01": { "kind": "archive", "quote": "Proxy gaming has reached an industrial scale, with documented paper-mill operations producing thousands of fraudulent publications that enter the citation network and accumulate proxy signals indistinguishable from legitimate scholarship.", "deposit": 741, "source_label": "#741 The Evaluator Exists: Content-First Knowledge Assessment and the Political Economy of Proxy-Based Governance", "record": "https://www.alexanarch.org/s/records/741/", "locus": "§8 ¶3 (Epistemic Fraud, Synthetic Consensus, and the Substantive Defense)", "modality": "interpretation", "date": "2026-05-19" }, "O741-02": { "kind": "archive", "quote": "The proxy regime's defense against gaming is its inscrutability: gaming is hard to detect because the signals being gamed are themselves opaque.", "deposit": 741, "source_label": "#741 The Evaluator Exists: Content-First Knowledge Assessment and the Political Economy of Proxy-Based Governance", "record": "https://www.alexanarch.org/s/records/741/", "locus": "§8 ¶3", "modality": "interpretation", "date": "2026-05-19" }, "O741-03": { "kind": "archive", "quote": "Synthetic scholarship that gets past a substantive evaluator must withstand reading — must have argumentative structure that holds together under analysis, must have empirical claims that survive a citation audit, must contribute something the evaluator can recognize as new relative to the prior art it knows.", "deposit": 741, "source_label": "#741 The Evaluator Exists: Content-First Knowledge Assessment and the Political Economy of Proxy-Based Governance", "record": "https://www.alexanarch.org/s/records/741/", "locus": "§8 ¶4", "modality": "interpretation", "date": "2026-05-19" }, "F18": { "kind": "field", "quote": "Several publishers use our paper screener, which has been instrumental in more than 1,000 retractions. Some have integrated the technology into the editorial workflow to spot suspect papers upfront.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "¶5", "modality": "self-description" }, "F19": { "kind": "field", "quote": "Analytics companies have used the screener for things like picking out suspect authors from lists of highly cited researchers.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "¶5", "modality": "self-description" }, "F28": { "kind": "field", "quote": "Cabanac has been in touch with most of the major publishers and their integrity officers, offering pro bono consulting regarding detection tools to various actors in the field including ClearSkies, Morressier, River Valley, Signals, and STM.", "source": "B2", "source_label": "The Conversation — Problematic Paper Screener: Trawling for fraud in the scientific literature", "locus": "Disclosure statement", "modality": "documented" }, "MMRS-06": { "kind": "archive", "quote": "It has contributed to more than 1,000 retractions.", "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/problematic-paper-screener/", "locus": "articles.py ARTICLES['problematic-paper-screener'], What it has found s2", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "F34": { "kind": "field", "quote": "We’re excited to announce the integration of articles flagged by the Problematic Paper Screener into the Signals Graph as a new signal. This includes over 12,000 problematic publications that have not been retracted. These problematic publications are cited more than 160,000 times by articles.", "source": "B4", "source_label": "Research Signals — Problematic Paper Screener: a new signal to help protect research integrity – Signals", "locus": "¶3", "modality": "documented" }, "F35": { "kind": "field", "quote": "We aim to help sleuths, publishers, and researchers gain greater visibility of these problematic papers and enable them to uncover additional research integrity issues with Signals.", "source": "B4", "source_label": "Research Signals — Problematic Paper Screener: a new signal to help protect research integrity – Signals", "locus": "¶4", "modality": "interpretation" }, "F38": { "kind": "field", "quote": "This database is now available among the Episciences tools. It is used to analyze citations extracted from articles, detect and then display problematic citations, either for correction or for informational purposes.", "source": "B5", "source_label": "ccsd.cnrs.fr — Episciences Adopts Problematic Paper Screener as a Tool for Verifying ... - CCSD", "locus": "¶3", "modality": "documented" }, "F39": { "kind": "field", "quote": "The platform takes this process a step further by incorporating automatic reference verification right after the submission is received, to help assess its quality, and subsequently by automatically updating any references that are retracted or change status after publication. This automatic check is performed using the PPS database.", "source": "B5", "source_label": "ccsd.cnrs.fr — Episciences Adopts Problematic Paper Screener as a Tool for Verifying ... - CCSD", "locus": "Toward a more comprehensive and automated verification solution ¶2", "modality": "documented" }, "F40": { "kind": "field", "quote": "the first step involved analyzing nearly 170,000 references from an initial data extraction. The results of this analysis identified 226 references indexed in the PPS, the majority of which fall into the “Feet of clay” category.", "source": "B5", "source_label": "ccsd.cnrs.fr — Episciences Adopts Problematic Paper Screener as a Tool for Verifying ... - CCSD", "locus": "Work is currently underway ¶1", "modality": "documented" }, "F36": { "kind": "field", "quote": "The PPS is a tool designed to identify and filter out potentially problematic scientific articles, such as those containing methodological errors, plagiarism, data manipulation, or conflicts of interest.", "source": "B5", "source_label": "ccsd.cnrs.fr — Episciences Adopts Problematic Paper Screener as a Tool for Verifying ... - CCSD", "locus": "¶1", "modality": "interpretation" }, "MMRS-15": { "kind": "archive", "quote": "monitor", "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/problematic-paper-screener/", "locus": "census: kind; roles", "modality": "stipulation", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-09": { "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/problematic-paper-screener/", "locus": "articles.py ARTICLES['problematic-paper-screener'], Place in the field s1", "modality": "interpretation", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-10": { "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: Problematic Paper Screener (https://www.machinemediation.org/aggregators/problematic-paper-screener/), editor Lee Sharks — the Academ-AI record's sentence naming it", "record": "https://www.machinemediation.org/aggregators/academ-ai/", "locus": "articles.py ARTICLES['academ-ai'], Place in the field s1 (the Academ-AI record)", "modality": "interpretation", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-23": { "kind": "archive", "quote": "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", "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/problematic-paper-screener/", "locus": "census: schema_note (v2, 2026-10-28)", "modality": "stipulation", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-21": { "kind": "archive", "quote": "active", "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/problematic-paper-screener/", "locus": "census: lifecycle; observed", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-24": { "kind": "archive", "quote": "detectors, sources, start date", "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/problematic-paper-screener/", "locus": "census: sources (dbrech.irit.fr, read 2026-10-28)", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-22": { "kind": "archive", "quote": "licence", "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/problematic-paper-screener/", "locus": "census: unchecked", "modality": "self-description", "date": "2026-10-28 (corrected 2026-10-29)" }, "MMRS-25": { "kind": "archive", "quote": "the composition layer's account of the entity, seated in the Capture Registry", "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/problematic-paper-screener/", "locus": "census: relations[0] (rel capture)", "modality": "documented", "date": "2026-10-28 (corrected 2026-10-29)" }, "F9": { "kind": "field", "quote": "Last Update: 2026-10-28 at 15:54", "source": "B1", "source_label": "Institut de Recherche en Informatique de Toulouse - IRIT — PPS – Problematic Paper Screener", "locus": "heading", "modality": "documented" }, "CAP-1-01": { "kind": "archive", "quote": "THE MAKERS AND DETECTORS RIGHT. The three names, the sources and the detectors are the IRIT page's and the record's.", "deposit": null, "source_label": "Capture Registry observation OBS-9180ce10e2aa (problematic-paper-screener-aio-20261029), findings", "record": "https://www.alexanarch.org/captures/problematic-paper-screener-aio-20261029/", "locus": "problematic-paper-screener-aio-20261029, findings[0]", "modality": "documented", "date": "2026-10-29" }, "CAP-1-02": { "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 observation OBS-9180ce10e2aa (problematic-paper-screener-aio-20261029), findings", "record": "https://www.alexanarch.org/captures/problematic-paper-screener-aio-20261029/", "locus": "problematic-paper-screener-aio-20261029, findings[0]", "modality": "documented", "date": "2026-10-29" }, "CAP-1-06": { "kind": "archive", "quote": "The screener is composed at its makers' grain, with its human review stage stated and its uptake by publishers' infrastructure added.", "deposit": null, "source_label": "Capture Registry observation OBS-9180ce10e2aa (problematic-paper-screener-aio-20261029), analysis", "record": "https://www.alexanarch.org/captures/problematic-paper-screener-aio-20261029/", "locus": "problematic-paper-screener-aio-20261029, analysis", "modality": "interpretation", "date": "2026-10-29" }, "CAP-1-07": { "kind": "archive", "quote": "A baseline: the record landed on machinemediation.org the same night (commit 8997e28) and no card cites it.", "deposit": null, "source_label": "Capture Registry observation OBS-9180ce10e2aa (problematic-paper-screener-aio-20261029), q_kind", "record": "https://www.alexanarch.org/captures/problematic-paper-screener-aio-20261029/", "locus": "problematic-paper-screener-aio-20261029, q_kind", "modality": "documented", "date": "2026-10-29" }, "CAP-1-03": { "kind": "archive", "quote": "'COUNTERFEIT CONSCIOUSNESS'. The example of a tortured phrase for 'artificial intelligence' is the composition's; the record's example, from The Conversation, is 'Joined Together States' for 'United States'.", "deposit": null, "source_label": "Capture Registry observation OBS-9180ce10e2aa (problematic-paper-screener-aio-20261029), findings", "record": "https://www.alexanarch.org/captures/problematic-paper-screener-aio-20261029/", "locus": "problematic-paper-screener-aio-20261029, findings[1]", "modality": "documented", "date": "2026-10-29" }, "CAP-1-04": { "kind": "archive", "quote": "Not checked against the screener's list.", "deposit": null, "source_label": "Capture Registry observation OBS-9180ce10e2aa (problematic-paper-screener-aio-20261029), findings", "record": "https://www.alexanarch.org/captures/problematic-paper-screener-aio-20261029/", "locus": "problematic-paper-screener-aio-20261029, findings[1]", "modality": "self-description", "date": "2026-10-29" }, "CAP-1-05": { "kind": "archive", "quote": "ADOPTION, NEW TO THE RECORD. Episciences (CCSD, 3 July 2026) and Signals Graph ('over 12,000 unretracted problematic publications flagged') are uptake the record lacked.", "deposit": null, "source_label": "Capture Registry observation OBS-9180ce10e2aa (problematic-paper-screener-aio-20261029), findings", "record": "https://www.alexanarch.org/captures/problematic-paper-screener-aio-20261029/", "locus": "problematic-paper-screener-aio-20261029, findings[2]", "modality": "documented", "date": "2026-10-29" }, "F41": { "kind": "field", "quote": "Exploring Retraction Watch Data in Crossref 2025-05-09", "source": "B6", "source_label": "YouTube·Crossref — Exploring Retraction Watch Data in Crossref 2025-05-09", "locus": "card title (oEmbed)", "modality": "documented" } }, "note": "The knowledge object (KO): the entry as public knowledge, each sentence sourced by the claims it lists. The compression, the field-only arm, the transcript, the delta and the kernel are in the row (links.row), which is the authority." }, "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", "status": { "procedure": "EA-NEGONT-02 v0.9, #1690: equal case, ρ = extends, read from the MMRS record, the capture record and #741; archive selected by D/R/O (no D or R candidate; O-class 33 sentences in 23 deposits, one deposit admitted, #741 at O; hop of 5 read and rejected), with the MMRS record (26 claims) and the Capture Registry's findings, analysis and q_kind (7 claims) ledgered as the archive's records of the entity; the field B by three origins (6 card sources for 6 cards, 1 own page unreachable, Wikipedia: no article); 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 41/41 verified by script against saved text or the oEmbed title; archive quotes 36/36 verified verbatim against the registry, census.json, articles.py and AXN-0291; carried as marked: CAP-1-03 and CAP-1-05 with defects noted, MMRS-18/MMRS-26 dated against F21", "frozen": false, "breaches": [] }, "addresses": [ { "address": "problematic paper screener", "address_url": "https://www.alexanarch.org/addresses/problematic-paper-screener/", "register": [] } ], "counts": { "ko_sentences": 25, "p_words": 259, "field_claims": 41, "archive_claims": 36, "ko_field_claims_cited": 41, "ko_archive_claims_cited": 36, "admitted_deposits": 1, "register_addresses": 0, "traversal": { "D_sentences": 0, "D_deposits": 0, "R_sentences": 0, "R_deposits": 0, "O_direct": 0, "O_class": 33, "O_deposits": 23, "H_candidates": 5 } }, "links": { "record": "https://www.alexanarch.org/non/problematic-paper-screener/", "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/problematic-paper-screener.json", "archive_ledger": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/ledgers/problematic-paper-screener/ledger-archive.json", "field_ledger": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/ledgers/problematic-paper-screener/field.json", "selection": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/problematic-paper-screener/", "traversal": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/problematic-paper-screener/", "traversal_summary": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/problematic-paper-screener/summary.json", "reading": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/problematic-paper-screener/reading.json", "configuration": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/panel/configs/problematic-paper-screener.json", "address_page": "https://www.alexanarch.org/addresses/problematic-paper-screener/", "mmrs_record": "https://www.machinemediation.org/aggregators/problematic-paper-screener/", "dataset": "https://huggingface.co/datasets/leesharks/negative-of-the-negative" }, "row_sha256": "8d965b849f36c49552d48199a09bfb3bb1a140bbe70bc075792774184606ce7c", "record_url": "https://www.alexanarch.org/non/problematic-paper-screener/", "json_url": "https://www.alexanarch.org/non/problematic-paper-screener/entity.json", "spec": "https://www.alexanarch.org/s/records/1690/", "creator": "Lee Sharks", "orcid": "0009-0000-1599-0703", "license": "CC BY 4.0" }