AI Literature Review Tools in 2026: Verified Citations vs Hallucinated References

By BioDockify Computational Research Team · October 11, 2026 · AI & Machine Learning

How to do an AI-assisted literature review without fabricated references: why LLMs invent citations, the verification workflow that catches them, what AI literature tools actually retrieve, and the citing rules that keep your thesis safe.

Read the complete article with tables, code and references on BioDockify.

Key References

• Walters, R.C. & Wilder, E.I. Fabrication and errors in the bibliographic citations generated by ChatGPT. Sci. Rep. 13, 14045 (2023). DOI: 10.1038/s41598-023-41834-w
• Bhattacharyya, M. et al. High rates of fabricated and inaccurate references in ChatGPT-generated medical content. Cureus 15, e4775 (2023). DOI: 10.7759/cureus.4775
• OpenAlex. The Open Catalog of Scholarly Works, Authors and Venues. https://openalex.org (accessed 2026)
• Semantics Scholar API. Allen Institute for AI. https://api.semanticscholar.org (accessed 2026)

Scope & Limitations

Hallucination rates are model- and prompt-dependent and improve with each generation; treat cited figures as 2023-era evidence, not constants Verification pipelines catch citation-level fabrication but cannot judge whether a cited paper supports the claim made about it - that remains human work