The Librarian as a Verifier of Bibliographic References Counterfeited by Generative Artificial Intelligence
https://doi.org/10.25281/0869-608X-2026-75-4-355-370
Abstract
With the widespread adoption of generative artificial intelligence (AI) models in publishing, libraries are facing a new professional responsibility: ensuring trust in published bibliographic information contained in reference lists (sources). Based on a review of domestic and international studies, this article examines the transformation of the librarian’s role: from navigator of information resources to verifier of validity. It is shown that this role includes identifying bibliographic confabulations (fake or hallucinated references in reference lists generated by generative models), interpreting the results of automatic detection, and developing users’ skills for critically examining generative model responses.
The aim of this study is to demonstrate the verification capabilities of librarians in the context of the proliferation of generative AI models and demonstrate their importance for maintaining the credibility of the publishing environment. The materials and methods include an empirical verification of 306 bibliographic references previously confirmed by the author as confabulated. The verification was conducted using specialized automatic detection tools, bibliographic services, and large language models (LLMs).
The results showed that none of the resources used provided 100% agreement with the librarian’s findings. Even the most effective tools required expert interpretation, re-checking, and comparison of data across multiple sources. It was established that automatic detection can be a useful verification step, but does not replace professional judgment regarding the veracity, context, and consequences of the dissemination of fake bibliographic information.
The findings confirm the need for the library community to move from simply discussing the problem of confabulation to implementing regular verification practices, consulting, and user training. In the era of generative AI, librarians are becoming not only information retrieval specialists but also professional guarantors of its veracity. The discussion identifies existing gaps in modern library practice that require prompt intervention to maintain user trust in the information provided by libraries.
About the Author
Svetlana A. MorozovaRussian Federation
48 Moika Emb., St. Petersburg, 191186, Russia
ORCID 0000-0003-4562-5728; SPIN 1137-9839
References
1. Kashina M.A., Vasilyeva V.A., Tkach S. “If the End Justifies the Means, Then This Is Permissible...”: Academic Deviations of Russian Postgraduate Students in Socio-Humanitarian Areas, Vysshee obrazovanie v Rossii [Higher Education in Russia], 2024, vol. 33, no. 3, pp. 84—103. DOI: 10.31992/0869-3617-2024-33-3-84-103 (in Russ.).
2. Duda V.V., Nikonorova E.V., Shibaeva E.A. Library in the Space of Social Transformations: Preservation of Cultural Heritage and Challenges of Digitalization, Bibliotekovedenie [Russian Journal of Library Science], 2024, vol. 73, no. 1, pp. 7—22. DOI: 10.25281/0869-608X-2024-73-1-7-22 (in Russ.).
3. Morozova S.A. Generative AI Models and Fake Bibliographic Information in Scholarly Publications: Causes, Typology, Consequences, and Implications for Managerial Decision-Making, Upravlencheskoe konsul’tirovanie [Administrative Consulting], 2026, no. 2, pp. 206—227 (in Russ.).
4. Naddaf M., Quill E. The Growing Problem of Hallucinated Citations, Nature, 2026, vol. 652, no. 8108, pp. 26—29. DOI: 10.1038/d41586-026-00969-z.
5. Gibney E. Will AI Ever Stop Making Up Citations? Gpt-5 Offers Hope, Nature, 2025, vol. 645, no. 8081, pp. 569—570. DOI: 10.1038/d41586-025-02853-8.
6. Camp N.T., Bengtson J.A., Sandstrom J.C. The Citation Catastrophe: Propagation of AI-Generated Counterfeit Citations in Scholarship, The Journal of Academic Librarianship, 2025, vol. 51, issue 4, art. 103065, 7 p. DOI: 10.1016/j.acalib.2025.103065.
7. Glynn A. Guarding Against Artificial Intelligence-Hallucinated Citations: The Case for Full-Text Reference Deposit, European Science Editing, 2025, vol. 51, e153973, 6 p. DOI: 10.3897/ese.2025.e153973.
8. Spennemann D.H.R. How Unique are Hallucinated Citations Offered by Generative Artificial Intelligence Models?: preprint, ArXiv, 2026, no. 4, art. 16407, 27 p. DOI: 10.48550/arXiv.2604.16407.
9. Niimi J. Hallucinations in Bibliographic Recommendation: Citation Frequency as a Proxy for Training Data Redundancy: preprint, ArXiv, 2025, no. 10, art. 25378, 6 p. DOI: 10.48550/arXiv.2510.25378.
10. Agrawal A., Suzgun M., Mackey L., Kalai A.T. Do Language Models Know When They’re Hallucinating References?: preprint, ArXiv, 2023, no. 5, art. 18248, 17 p. DOI: 10.48550/arXiv.2305.18248.
11. Safran E., Çali A. Fabricated or Accurate? Ethical Concerns and Citation Hallucination in AI-Generated Scientific Writing on Musculoskeletal Topics, Anatolian Current Medical Journal, 2025, vol. 7, issue 5, pp. 695—702. DOI: 10.38053/acmj.1746227.
12. Kaygisiz Ö.F., Teke M.T. Can DeepSeek and ChatGPT Be Used in the Diagnosis of Oral Pathologies? BMC Oral Health, 2025, vol. 25 (1), art. 638, 8 p. DOI: 10.1186/s12903-025-06034-x.
13. Aljamaan F., Temsah M.-H., Altamimi I., Al-Eyadhy A., Jamal A., Alhasan K., Mesallam T.A., Farahat M., Malki K.H. Reference Hallucination Score for Medical Artificial Intelligence Chatbots: Development and Usability Study, JMIR Medical Informatics, 2024, vol. 12, e54345, 11 p. DOI: 10.2196/54345.
14. Ansari S. Compound Deception in Elite Peer Review: A Failure Mode Taxonomy of 100 Fabricated Citations at NeurIPS 2025: preprint, ArXiv. 2026, no. 2, art. 05930, 14 p. DOI: 10.48550/arXiv.2602.05930.
15. Sakai Yu., Kamigaito H., Watanabe T. HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences: preprint, ArXiv. 2026, no. 1, art. 18724, 57 p. DOI: 10.48550/arXiv.2601.18724.
16. Kovalevsky A.V. Information and Analytical Competencies of Librarians in the Field of Artificial Intelligence: Review of Studies, Bibliotekovedenie [Russian Journal of Library Science], 2026, vol. 75, no. 1, pp. 79—94. DOI: 10.25281/0869-608X-2026-75-1-79-94 (in Russ.).
17. Neshcheret M.Yu. Artificial Intelligence in Library Bibliographic Activity: Pros and Cons, Nauka. Biblioteka. Informatsiya: materialy Mezhdunarodnoi nauchno-prakticheskoi konferentsii, posvyashchennoi 100-letiyu Tsentral’noi nauchnoi biblioteki imeni Yakuba Kolasa Natsional’noi akademii nauk Belarusi, Minsk, 12—13 fevralya 2025 g. [Science. Library. Information: Proceedings of the International Research and Practical Conference Dedicated to the 100th Anniversary of the Yakub Kolas Central Scientific Library of the National Academy of Sciences of Belarus, Minsk, February 12—13, 2025]. Minsk, 2025, pp. 251—255 (in Russ.).
18. Stepanov V.K. Artificial Intelligence in Library and Information Activities: One Year Later, Nauchnye i tekhnicheskie biblioteki [Scientific and Technical Libraries], 2025, no. 12, pp. 127—143. DOI: 10.33186/1027-3689-2025-12-127-143 (in Russ.).
19. Goncharov M.V., Sokolinsky K.E., Shraiberg Ya.L. Artificial Intelligence in the Practice of Sci-Tech Libraries: The Study of Potential, Experience and Prospects Evaluation, Nauchnye i tekhnicheskie biblioteki [Scientific and Technical Libraries], 2025, no. 12, pp. 144—164. DOI: 10.33186/1027-3689-2025-12-144-164 (in Russ.).
20. Lendvai G.F. ChatGPT in Academic Writing: A Scientometric Analysis of Literature Published Between 2022 and 2023, Journal of Empirical Research on Human Research Ethics, 2025, vol. 20, issue 3, pp. 131—148. DOI: 10.1177/15562646251350203.
21. Trofimov I.L., Kustova E.M., Barash S.M., Buryak A.V., Filatova V.N. The Role of Libraries in the Age of Artificial Intelligence: An Analytical Look at Emerging AI Technologies and Their Applications, Sovremennye tekhnologii. Sistemnyi analiz. Modelirovanie [Modern Technologies. System Analysis. Modeling], 2025, no. 3 (87), pp. 94—104. DOI: 10.26731/1813-9108.2025.3(87).94-104 (in Russ.).
22. Fedorov A.O., Karpov S.V. Artificial Intelligence in Library Practice: Readiness and Barriers, Bibliosfera [Bibliosphere], 2025, no. 4, pp. 106—115. DOI: 10.20913/1815-3186-2025-4-106-115 (in Russ.).
23. Miccichè P.F. Beyond Automation: The Essential Role of Librarians in the Age of Generative AI, Lessico di Etica Pubblica, 2024, no. 2, pp. 98—107. Available at: https://www.eticapubblica.it/wp-content/uploads/2025/12/10.-Micciche--.pdf (accessed 01.05.2026).
24. Sousa N. Ethical and Practical Implications of AI in Academic Library Research, IFLA Journal, 2025, 16 p. DOI: 10.1177/03400352251391753.
25. Harper C., Groth P. The Librarian Skillset and the Needs of Artificial Intelligence, Cataloging & Classification Quarterly, 2025, vol. 63, issue 6—7, pp. 546—565. DOI: 10.1080/01639374.2025.2539787.
26. Porter B. Libraries as AI Literacy Leaders, Information Matters, 2026, vol. 6, no. 1, 4 p. DOI: 10.2139/ssrn.6096066.
27. LaFlamme K.A. Scaffolding AI Literacy: An Instructional Model for Academic Librarianship, The Journal of Academic Librarianship, 2025, vol. 51, issue 3, art. 103041. DOI: 10.1016/j.acalib.2025.103041.
28. Oladokun B., Emmanuel V., Osagie O., Alabi A. ChatGPT and Library Users: AI Risks of Hallucinations and Misinformation, Cybrarians Journal, 2025, no. 76, pp. 25—37. DOI: 10.70000/cj.2025.76.642.
29. Lo L. The CARE Approach for Academic Librarians: From Search First to Answer First with Generative AI, The Journal of Academic Librarianship, 2026, vol. 52, issue 1, art. 103186, 3 p. DOI: 10.1016/j.acalib.2025.103186.
30. Abbonato D. CheckIfExist: Detecting Citation Hallucinations in the Era of AI-Generated Content: preprint, ArXiv. 2026, no. 2, art. 15871, 9 p. DOI: 10.48550/arXiv.2602.15871.
31. Haider J., Söderström K.R., Ekström B., Rödl M. GPT-Fabricated Scientific Papers on Google Scholar: Key Features, Spread, and Implications for Preempting Evidence Manipulation, Harvard Kennedy School (HKS) Misinformation Review, 2024, vol. 5, issue 5, 16 p. DOI: 10.37016/mr-2020-156.
32. Stepanov V.K. Intrinsic Factors for Decreasing Role of Libraries in Information Activities, Nauchnye i tekhnicheskie biblioteki [Scientific and Technical Libraries], 2023, no. 1, pp. 104—119. DOI: 10.33186/1027-3689-2023-1-104-119 in Russ.).
33. Stolyarov Yu.N. Artificial Intellect and the Book Library Industry: Vectors for Problem Development, Nauchnye i tekhnicheskie biblioteki [Scientific and Technical Libraries], 2022, no. 1, pp. 17—34. DOI: 10.33186/1027-3689-2022-1-17-34 (in Russ.).
34. Shraiberg Ya.L. Libraries for Information Support of Science and Education, Bukva i tsifra: biblioteki na puti k tsifrovizatsii: sbornik dokladov Shestoi mezhdunarodnoi nauchno-prakticheskoi konferentsii “BiblioPiter-2025”, Sankt-Peterburg, 8—10 aprelya 2025 goda [Letter and Digit: Libraries on the Path to Digitalization: Proceedings of the Sixth International Research and Practice Conference “BiblioPiter-2025” (St. Petersburg, April 8—10, 2025)]. Moscow, Gosudarstvennaya Publichnaya Nauchno-Tekhnicheskaya Biblioteka Rossii Publ., 2025, pp. 95—108. DOI: 10.33186/978-5-85638-302-6-95-108 (in Russ.).
Review
For citations:
Morozova S.A. The Librarian as a Verifier of Bibliographic References Counterfeited by Generative Artificial Intelligence. Bibliotekovedenie [Russian Journal of Library Science]. 2026;75(4):355-370. (In Russ.) https://doi.org/10.25281/0869-608X-2026-75-4-355-370
JATS XML





































