When AI Writes, Who Gets Cited? Evidence of Citation Monoculture Across Language Models
As language models move from drafting prose to running literature-search agents with tool calls, fabricated references are becoming easier to catch and constrain. The harder failure begins after every candidate is real: different models may still select the same narrow subset, producing citation monoculture without any single citation being wrong. We isolate this effect on 120 real papers. Eleven models from three vendors choose at most ten papers from uniformly random panels of thirty, with real titles and abstracts but fabricated authors, reassigned years, and hidden venues and citation counts. Each run is compared with indifferent selection on the same panel and realized budget. All el...
| Authors | Sina Alemohammad, Denghui Zhang, Bolong Tang et al. |
|---|---|
| Primary category | cs.DL |
| Published | 3 August 2026 |
| Last updated at source | 3 August 2026 |
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