ResearchQA (Open Paper) - Citation Precision: leaderboard
Metric: Citation precision (%; share of cited passages that match an alternative in a required section, citation-grounded answers from the Open Paper chat-with-paper harness to a 100-row evenly spaced sample of 6,211 single-paper questions over 494 open-access papers, citations checked by a normalizing substring matcher against the extracted paper text; higher is better). Source: arxiv.org. Saturation forecast: Around 2029. 8 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4.1 | 77.6 |
| 2 | GLM-4.7 | 74.4 |
| 3 | Gemini 3.1 Pro (Preview) | 72.3 |
| 4 | Claude Haiku 4.5 | 71.6 |
| 5 | GPT-OSS-120B | 66 |
| 6 | GPT-5.4 | 64.7 |
| 7 | Claude Opus 4.7 | 56.9 |
| 8 | Gemini 3 Flash (Preview) | 49.1 |
Interactive version: theaggregate.ai/benchmark?slug=researchqa-open-paper-citation-precision · How It Works · Data refreshed daily, snapshot 2026-09-29.