Chatbots, generative AI, and scholarly manuscripts: WAME recommendations on chatbots and generative artificial intelligence in relation to scholarly publications
Open accessAbstract
This statement revises our earlier “WAME Recommendations on ChatGPT and Chatbots in Relation to Scholarly Publications” (January 20, 2023). The revision reflects the proliferation of chatbots and their expanding use in scholarly publishing over the last few months, as well as emerging concerns regarding lack of authenticity of content when using chatbots. These recommendations are intended to inform editors and help them develop policies for the use of chatbots in papers published in their journals. They aim to help authors and reviewers understand how best to attribute the use of chatbots in their work and to address the need for all journal editors to have access to manuscript screening tools. In this rapidly evolving field, we will continue to modify these recommendations as the software and its applications develop.
AI snapshot
Written from the paper’s full text.
TL;DR
This WAME statement revises earlier recommendations on chatbots and generative AI in scholarly publishing, adding guidance for authors, editors, and reviewers. It holds that chatbots cannot be authors, that their use must be transparently disclosed, and that humans remain responsible for accuracy, attribution, and confidentiality.
Key findings
- Chatbots cannot be authors: they do not meet ICMJE authorship criteria, cannot give final approval, cannot understand conflict-of-interest statements, and have no legal standing to sign statements.
- Authors must disclose chatbot use and provide information about how it was used; for drafting new text, prompts should be specified in acknowledgments, and for analytical work, reporting should appear in the Abstract and Methods with the full prompt, query time/date, AI tool, and version.
- Authors are responsible for chatbot-generated material, including accuracy, absence of plagiarism, balanced views, and appropriate attribution of all sources.
- Editors and peer reviewers must specify any chatbot use in manuscript evaluation, reviews, and correspondence; editors also need appropriate AI-detection tools, available regardless of ability to pay.
Methods
- Design: a consensus/recommendation statement revising the earlier “WAME Recommendations on ChatGPT and Chatbots in Relation to Scholarly Publications” (January 20, 2023).
- Data or sample: Not stated in the paper; the statement draws on cited literature, ICMJE criteria, and emerging concerns rather than an empirical sample.
- Main analysis: narrative development of five principal recommendations tailored to different uses of chatbots in scholarly publishing, including word-processing tasks, generation of ideas/text, and substantive research.
Limitations
- Stated: the field is rapidly evolving, and the authors will continue to modify the recommendations as software and applications develop.
- Evident from the text: the recommendations are consensus-based and not empirically tested; no data, sample, or formal analysis is reported.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 7 cited sources checked · 0 supported · 0 flagged
- May combine two claims. 6
- Classified as probably not a substantial claim. 8
May combine two claims.
InterpretationreasoningScholarly content generated or edited using AI would be retained and could potentially appear in future responses, increasing the risk of inadvertent plagiarism.
“Therefore, scholarly content that is generated or edited using AI would be retained and as a result, could potentially appear in future responses, further increasing the risk of inadvertent plagiarism on the part of the user and any future users of the technology.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningIt is potentially scientific misconduct to offer material generated by a chatbot for publication, irrespective of how it was written.
“Otherwise, it is potentially scientific misconduct to offer such material for publication, irrespective of how it was written.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationChatbots retain the information supplied to them, including content and prompts, and may use this information in future responses.
“Chatbots retain the information supplied to them, including content and prompts, and may use this information in future responses 8 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8] Thorbecke C Don't tell anything to a chatbot you want to keep private CNN Business 2023 https://www.cnn.com/2023/04/06/tech/chatgpt-ai-privacy-concerns/index.html May 27, 2023
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThis is consistent with the ICMJE recommendation of acknowledging writing assistance and providing in the Methods detailed information about how the study was conducted and the results generated.
“This is consistent with the ICMJE recommendation of acknowledging writing assistance 11 and providing in the Methods detailed information about how the study was conducted and the results generated 12 .”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [11] ICMJE Defining the Role of Authors and Contributors. Non-Author Contributors ICMJE 2023 https://www.icmje.org/recommendations/browse/roles-and-responsibilities/defining-the-role-of-authors-and-contributors.html May 27, 2023
Not checked in the free run.
- cites [12] ICMJE Preparing a Manuscript for Submission to a Medical Journal. Methods ICMJE 2023 https://www.icmje.org/recommendations/browse/manuscript-preparation/preparing-for-submission.html#d May 27, 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationChatbots are activated by a plain-language instruction, or prompt, provided by the user, and generate responses using statistical and probability-based language models.
“Chatbots are activated by a plain-language instruction, or “prompt,” provided by the user. They generate responses using statistical and probability-based language models 5 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] Wun STY He SZ Liu JP Sun SQ Liu K Han QL Tang Y A brief overview of ChatGPT The history, status quo and potential future development IEEE/CAA J Autom Sinica 2023 10 5 1122 1136 10.1109/JAS.2023.123618 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNew legal issues have arisen in connection with chatbots and generative AI.
“New legal issues have also arisen in connection with chatbots and generative AI 7 .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Appel G Neelbauer J Schweidel DA Generative AI has an intellectual property problem 2023 Harvard Business Review https://hbr.org/2023/04/generative-ai-has-an-intellectual-property-problem May 27, 2023
Not checked in the free run.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenChatbots retain the prompts fed to them, including manuscript content, and supplying an author's manuscript to a chatbot breaches confidentiality of the submitted manuscript.
“They should be aware that chatbots retain the prompts fed to them, including manuscript content, and supplying an author's manuscript to a chatbot breaches confidentiality of the submitted manuscript.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationThere are concerns about the effects of chatbots on knowledge creation and dissemination, including their potential to spread and amplify mis- and disinformation, and their broader impact on jobs, economy, and health.
“Consequently, there are concerns about the effects of chatbots on knowledge creation and dissemination - including their potential to spread and amplify mis- and disinformation 6 - and their broader impact on jobs and the economy, as well as the health of individuals and populations.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [6] Bhuiyan J OpenAI CEO calls for laws to mitigate 'risks of increasingly powerful' AI The Guardian 2023 https://www.theguardian.com/technology/2023/may/16/ceo-openai-chatgpt-ai-tech-regulations May 27, 2023
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningChatbots cannot be authors.
“Chatbots cannot be authors.”
Quote in the paperNot a substantial claim- Rests on an assumption: The legal status of an author differs from country to country but under most jurisdictions, an author must be a legal person.
Classified as probably not a substantial claim.
PremisecitationChatbots do not meet the ICMJE authorship criteria, particularly that of being able to give final approval of the version to be published and to be accountable for all aspects of the work.
“Chatbots do not meet the International Committee of Medical Journal Editors (ICMJE) authorship criteria, particularly that of being able to give “final approval of the version to be published” and “to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved” 10 .”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10] ICMJE Defining the role of authors and contributors. 2. Who Is an Author? ICMJE 2023 https://www.icmje.org/recommendations/browse/roles-and-responsibilities/defining-the-role-of-authors-and-contributors.html May 27, 2023
Not checked in the free run.
The paper relies on this without support.
No AI tool can understand a conflict-of-interest statement and does not have the legal standing to sign a statement.
“No AI tool can “understand” a conflict-of-interest statement and does not have the legal standing to sign a statement.”
The paper relies on this without support.
Chatbots have no affiliation independent of their developers.
“Chatbots have no affiliation independent of their developers.”
The paper relies on this without support.
Journals have begun to publish articles in which chatbots such as Bard, Bing and ChatGPT have been used, with some journals listing chatbots as co-authors.
“Journals have begun to publish articles in which chatbots such as Bard, Bing and ChatGPT have been used, with some journals listing chatbots as co-authors.”
The paper relies on this without support.
The legal status of an author differs from country to country but under most jurisdictions, an author must be a legal person.
“The legal status of an author differs from country to country but under most jurisdictions, an author must be a legal person.”
The paper relies on this without support.
Chatbot output currently carries the risk of including biases, distortions, irrelevancies, misrepresentations, and plagiarism, many caused by algorithms and training materials.
“For example, chatbot output currently carries the risk of including biases, distortions, irrelevancies, misrepresentations, and plagiarism - many of which are caused by the algorithms governing its generation and heavily dependent on the contents of the materials used in its training.”
The paper relies on this without support.
A chatbot may be designed to omit sources that oppose viewpoints expressed in its output.
“Since a chatbot may be designed to omit sources that oppose viewpoints expressed in its output, it is the authors’ responsibility to find, review and include such counterviews in their articles.”
The paper relies on this without support.
Many medical journal editors use manuscript evaluation approaches that were not designed to deal with AI innovations and industries, including manipulated plagiarized text and images and papermill-generated documents.
“Many medical journal editors use manuscript evaluation approaches that were not designed to deal with AI innovations and industries, including manipulated plagiarized text and images and papermill-generated documents.”
The paper relies on this without support.
Medical journal editors have already been at a disadvantage when trying to differentiate the legitimate from the fabricated, and chatbots take this challenge to a new level.
“They have already been at a disadvantage when trying to differentiate the legitimate from the fabricated, and chatbots take this challenge to a new level.”
The paper relies on this without support.
It is of particular importance to editors of medical journals where the adverse consequences of misinformation include potential harms to people.
“This is of particular importance to editors of medical journals where the adverse consequences of misinformation include potential harms to people.”
The paper relies on this without support.
Currently, individuals in scholarly publishing may use chatbots for simple word-processing tasks, generation of ideas and text, and substantive research.
“Currently, individuals in scholarly publishing may use chatbots for: 1) simple word-processing tasks (analogous to, and an extension of, word-processing and grammar-checking software), 2) the generation of ideas and text, and 3) substantive research.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Generative AI tools do not meet the generally agreed standards of authorship of academic research.
“Another core principle reflected in these statements is that, despite their ability to generate novel and new text, generative AI tools do not meet the generally agreed standards of authorship of academic research [7, 9, 11, 12].”
From Artificial intelligence-assisted academic writing: recommendations for ethical use (2025) · cites this paper as [11]
The International Committee of Medical Journal Editors, JAMA Network Journals, and the World Association of Medical Editors have all issued specific guidelines on the use of generative AI.
“Further, and especially relevant to the work of academic writers in healthcare simulation, the International Committee of Medical Journal Editors [10], JAMA Network Journals [7], and the World Association of Medical Editors [11] have all issued specific guidelines on the use of generative AI.”
From Artificial intelligence-assisted academic writing: recommendations for ethical use (2025) · cites this paper as [11]
Transparency about the use of generative AI tools in the academic writing process is a cornerstone of academic integrity.
“Firstly, and perhaps most importantly, transparency about the use of generative AI tools in the academic writing process is a cornerstone of academic integrity [7, 9, 11].”
From Artificial intelligence-assisted academic writing: recommendations for ethical use (2025) · cites this paper as [11]
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Preserving the human voice: A plea for regulating ChatGPT use in Correspondence and Opinion writing
Matsubara, S. (2024) · Australian and New Zealand Journal of Obstetrics and Gynaecology · doi:10.1111/ajo.13877 · Cited by 5 · see citing works
Gimeno‐Ballester, V., & Trigo-Vicente, C. (2024) · Farmacia Hospitalaria · doi:10.1016/j.farma.2024.07.009 · Cited by 4 · see citing works
Matsubara, S. (2025) · Journal of Investigative Medicine · doi:10.1177/10815589251352572 · Cited by 4 · see citing works
Hamm, B., Martí‐Bonmatí, L., & Sardanelli, F. (2024) · European Radiology Experimental · doi:10.1186/s41747-023-00420-2 · Cited by 4 · see citing works
Wiwanitkit, S., & Wiwanitkit, V. (2024) · Korean Journal of Radiology · doi:10.3348/kjr.2023.0971 · Cited by 4 · see citing works
Large Language Models in Orthopaedic Publications: The Good, the Bad and the Ugly
Wascher, D. C., & Ollivier, M. P. (2024) · The American Journal of Sports Medicine · doi:10.1177/03635465241265692 · Cited by 4 · see citing works
Mahamid, A., Laver, L., Zahalka, S., Oettl, F. C., Behrbalk, E., Hirschmann, M. T., & Samuelsson, K. (2025) · Journal of Experimental Orthopaedics · doi:10.1002/jeo2.70273 · Cited by 4 · see citing works
Lei, F., Du, L., Wang, W., Dong, M., & Liu, X. (2025) · Journal of Information Science · doi:10.1177/01655515251359771 · Cited by 3 · see citing works
Oh, J. (2026) · Journal of Korean Medical Science · doi:10.3346/jkms.2026.41.e298 · Cited by 3 · see citing works
Use of AI in family medicine publications: a joint editorial from journal editors
Schrager, S., Seehusen, D. A., Sexton, S. M., Richardson, C. R., Neher, J. O., Pimlott, N., Bowman, M. A., Rodríguez, J. E., Morley, C. P., Li, L., et al. (2025) · Family Medicine and Community Health · doi:10.1136/fmch-2024-003238 · Cited by 3 · see citing works
Human intelligence for authors, reviewers and editors using artificial intelligence
Palacios, M. (2023) · Colombia medica · doi:10.25100/cm.v54i3.5867 · Cited by 3 · see citing works
Appropriate Use and Reporting of AI tools in Manuscript Preparation
Al-Quorain, A. A., Shaikh, A. K., & Salam, A. A. (2026) · Saudi Journal of Medicine and Medical Sciences · doi:10.4103/sjmms.sjmms_10_26 · Cited by 5 · see citing works
Homo, R. L., Smith, S., Donahue, M. L., et al. (2025) · Military Medicine · doi:10.1093/milmed/usaf269 · Cited by 2 · see citing works
Ética e Inteligência Artificial na Comunicação Científica: desafios para os Periódicos Científicos
Hayashi, M. C. P. I. (2025) · Encontros Bibli Revista Eletrônica de Biblioteconomia e Ciência da Informação · doi:10.5007/1518-2924.2025.e103497 · Cited by 8 · see citing works
The ethics of using artificial intelligence in writing medical research papers
Yu, S., & Hwang, H. (2025) · Kosin Medical Journal · doi:10.7180/kmj.25.141 · Cited by 2 · see citing works
Charbonneau, D. H., & Zhang, M. (2026) · Accountability in Research · doi:10.1080/08989621.2026.2632083 · Cited by 7 · see citing works
“As a result, a potential risk is that AI tools may miss methodological flaws or theoretical issues that a human expert brings to the peer review process in their efforts to critically evaluate research content (Doskaliuk et al. 2025; Zielinski et al. 2023).”
InfluentialOh, J. (2026) · Journal of Korean Medical Association · doi:10.5124/jkma.25.0157 · Cited by 2 · see citing works
Generative artificial intelligence as a research partner in orthopaedics: State of the art
Bastos, R., Dias, A., Amado, P., Neyret, P., Espregueira‐Mendes, J., & Berwanger, S. G. (2026) · Journal of ISAKOS Joint Disorders & Orthopaedic Sports Medicine · doi:10.1016/j.jisako.2026.101126 · Cited by 2 · see citing works
Who Owns the Argument? A Practical Test for Author Responsibility in AI ‐Assisted Scholarly Writing
Koo, M., & Lu, M. (2026) · Learned Publishing · doi:10.1002/leap.2066 · Cited by 5 · see citing works
“Journals, publishers, and editorial organisations responded quickly, issuing policy statements and guidance on the use of generative AI in scholarly writing (COPE Council 2023; Nature Editorial 2023; ICMJE 2026; Zielinski et al. 2023).”
Morbitzer, K. A., McLaughlin, J. E., Fuller, K. A., Li, X., Noel, Z. R., Rodgers, P. T., Ruby, C. M., Stepanovic, M., & Kane‐Gill, S. L. (2026) · JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY · doi:10.1002/jac5.70257 · Cited by 3 · see citing works
The African Journal Partnership Program’s Guidance on Use of AI in Scholarly Publishing
Wright, C. Y., Lartey, M. Y., Khomsi, K., Peres, F., Yilma, D., Kigera, J. W. M., Flanagin, A., Gbakima, A., Ofori‐Adjei, D., Ernest, S. K., et al. (2024) · Annals of African Surgery · doi:10.4314/aas.v21i3.1 · Cited by 2 · see citing works
Generative AI Guidelines in Korean Medical Journals: A Survey Using Human-AI CollaborationPreprint
Ahn, S. (2024) · medRxiv · doi:10.1101/2024.03.08.24303960 · Cited by 2 · see citing works
Luo, X., Tham, Y. C., Daher, M., et al. (2024) · medRxiv · doi:10.1101/2024.10.15.24315506 · Cited by 2 · see citing works
ERKILIÇ, E., & Çifçi, İ. (2025) · Journal of Multidisciplinary Academic Tourism · doi:10.31822/jomat.2025-10-1-111 · Cited by 1 · see citing works
Public Versus Academic Discourse on ChatGPT in Health Care: Mixed Methods Study
Baxter, P., Li, M., Wei, J., & Koizumi, N. (2025) · JMIR Infodemiology · doi:10.2196/64509 · Cited by 2 · see citing works
Ravelo-Franco, G. (2025) · Prolegómenos · doi:10.18359/prole.7515 · Cited by 1 · see citing works
Cheng, P.-J., Hu, F., Chen, L.-Y., Liu, J.-Y., Wu, J., & Chen, W. (2025) · Taiwan Journal of Ophthalmology · doi:10.4103/tjo.tjo-d-25-00072 · Cited by 1 · see citing works
“[23,53,70] Several academic journals, including JAMA, The Lancet, and Science, have prohibited the submission of manuscripts to AI software.”
Arthur, A. W., Moore, A., Carmona-Rosado, L., Kassam, P., Logel, M., Nieves, C. I., Tope, P., Litaker, D. G., & Borrell, L. N. (2025) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2025.103334 · Cited by 1 · see citing works
AI-Generated Text in Orthopaedic Articles
Sweeney, P., Yuro, M. R., & Berberian, W. S. (2025) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.25.00971 · Cited by 1 · see citing works
Generating Experimental Text Stimuli for Psychological Research Using ChatGPT
Lechuga, J., & Karle, N. N. (2026) · Advances in Methods and Practices in Psychological Science · doi:10.1177/25152459251407631 · Cited by 1 · see citing works
“…[APA], 2023; Committee on Publication Ethics [COPE], 2023; “ Science Journals: Editorial Policies,” n.d.; “Tools Such as ChatGPT Threaten Transparent Science,” 2023; U.S. Copyright Office, 2023a; “ World Scientific ’s Position Statement on Authorship and AI Tools,” n.d.; Zielinski et al., 2023).”
InfluentialNoteworthy Developments in the Korean Journal of Radiology in 2023 and for 2024
Park, S. H. (2024) · Korean Journal of Radiology · doi:10.3348/kjr.2023.1172 · Cited by 1 · see citing works
Caradee, Y. W., Lartey, M. Y., Khomsi, K., Peres, F., Yilma, D., Kigera, J. W. M., Flanagin, A., Gbakima, A., Ofori‐Adjei, D., Sumaili, E. K., et al. (2024) · Annales Africaines de Medecine · doi:10.4314/aamed.v17i3.1 · Cited by 1 · see citing works
Indian Pediatrics’ Policy Regarding Artificial Intelligence (AI) — Enabled Large Language Models
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Artificial intelligence (AI) in scientific publishing: Where should we draw the line?
Wijesinghe, M. S. D., Prathapan, S., & Arambepola, C. (2023) · Journal of the College of Community Physicians of Sri Lanka · doi:10.4038/jccpsl.v29i2.8634
Balat, A., Eren, Ş. H., Menzilcioğlu, M. S., et al. (2023) · European Journal of Therapeutics · doi:10.58600/eurjther1968
Human intelligence for authors, reviewers and editors using artificial intelligence
Palacios, M. (2024) · Interdisciplinary Journal of Epidemiology and Public Health · doi:10.18041/2665-427x/ijeph.1.11268
Aguilera-Eguía, R. A., Videla, Á. R., Fuentes-Barría, H., et al. (2024) · Colombia medica · doi:10.25100/cm.v55i1.5957
The African Journal Partnership Program’s Guidance on Use of AI in Scholarly Publishing
Wright, C. Y., Lartey, M. Y., Khomsi, K., Peres, F., Yilma, D., Kigera, J. W. M., Flanagin, A., Gbakima, A., Ofori‐Adjei, D., Ernest, S. K., et al. (2024) · Ethiopian Journal of Health Sciences · doi:10.4314/ejhs.v34i2.1
Large Language Models in Orthopaedic Publications: The Good, the Bad and the Ugly
(2024) · Orthopaedic Journal of Sports Medicine · doi:10.1177/23259671241265705
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“Asimismo, el análisis de datos y la mejora continua son elementos esenciales para la personalización del aprendizaje significativo (Zielinski et al., 2023).”
AI in Psychiatric and Mental Health Nursing: Research Expansion and Peer-Review Policy at JKPMHN
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Ethical guidelines in scientific journal policies: analysis and recommendations
Lima, C. P. M., PONTES, L. B., Caldeira, F. I. D., Faria, L. V., de Oliveira, F. A., da Silva, L. R., Martelli, M. G. G., Fernandes, C. M. D. S., & Serra, M. D. C. (2025) · Revista de Odontologia da UNESP · doi:10.1590/1807-2577.20250011
- Authors
- Zielinski, C., Winker, M. A., Aggarwal, R., Ferris, L. E., Heinemann, M., Lapeña Jr, J. F., Pai, S. A., Ing, E., Citrome, L., Alam, M., Voight, M., & Habibzadeh, F.
- Affiliations
- University of Winchester (GB)
- Jawaharlal Institute of Post Graduate Medical Education and Research (IN)
- University of Toronto (CA)
- University Medical Center of the Johannes Gutenberg University Mainz (DE)
- University of Alberta (CA)
- New York Medical College (US)
- Northwestern University (US)
- Belmont University (US)
- Lancet Laboratories (ZA)
- ORCID
- Venue
- Colombia Medica
- Publisher
- Universidad del Valle
- Published
- 2023-12-01
- Volume
- 54
- Issue
- 3
- Pages
- e1015868
- ISSN
- 0120-8322 (ISSN-L)
- 1657-9534
- PMC
- PMC10712422
- OpenAlex
- W4389235056
- Cited by
- 127
- References
- 4
- Citations by year
- 2026: 35 · 2025: 31 · 2024: 41 · 2023: 20
- FWCI
- 32.66
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Colombia medica (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by-nc-nd)
- Touro Scholar (Touro College) (submittedVersion)
- Topics
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Publishing and Scholarly Communication
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Academic Writing and Publishing
- Keywords
- chatbots, generative AI, scholarly publishing, ChatGPT, journal editorial policy, content authenticity, peer review
- MeSH terms
- Artificial Intelligence, Humans, Publishing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-29.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-29.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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