M.Z. Naser

Researcher (Clemson University, School of Civil and Environmental Engineering & Earth Sciences) and author of "How LLMs Cite and Why It Matters: A Cross-Model Audit of Reference Fabrication in AI-Assisted Academic Writing and Methods to Detect Phantom Citations" (arXiv 2603.03299, 2026), an audit of 69,557 citation instances across ten commercial LLMs.

Matters to this vault as the researcher who extended Petiška's single-model 2023 finding — explicitly cited as prior work — to the current generation of frontier models across every major LLM vendor, finding the same popularity-driven citation selection in all ten.

References

• claim-naser-2026-ten-llm-audit-confirms-citation-popularity-bias-across-vendors
• observation-petiska-matthew-effect-finding-independently-replicated-by-algaba-and-naser