CiteAudit (Real-World) - Accuracy: leaderboard

Metric: Accuracy (fraction times 100) of the real-or-hallucinated verdicts on the CiteAudit real-world test set (3,356 references from scholarly manuscripts: 2,889 authentic and 467 naturally occurring hallucinated citations); each language model classifies every reference as real or hallucinated through its API (tool access is not described); higher is better. Source: arxiv.org. Saturation forecast: Around July 2027. 6 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro84.3#77
2Llama 3.3 70B Instruct79.4#520
3Claude Sonnet 4.574#138
4Mixtral 8x7B Instruct (v0.1)66.4#1049
5GPT-5.255.9#105

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=citeaudit-real-world-accuracy · How It Works · Data refreshed daily, snapshot 2026-10-11.