Reconstruction (Research Idea Recovery) - Astronomy: leaderboard

The 85 astronomy papers of Reconstruction (AI-Professor Project, 2026), where a model sees only the pre-publication bibliography of a paper and proposes five hypotheses judged against its withheld idea. Match rate in percent, averaged over leave-one-out peer judges; higher is better.

Metric: Match rate (%; the 85 astronomy seed papers; share of a model's five hypotheses, proposed in one call from a published paper's pre-publication bibliography only (titles and abstracts under anonymous IDs, the paper itself and later literature withheld), that an LLM judge matches to the held-out paper's idea; mean over the six other evaluated models as leave-one-out judges). Source: arxiv.org. Saturation forecast: Around 2028. 7 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.814.7#56
2GPT-5.6 Pro Sol12.9#25
3Kimi K310.7#53
4GLM-5.29.5#137
5Gemini 3.1 Pro (Preview)8.9#91
6DeepSeek V4 Pro6.7#181
7Qwen 3.7 Max5.3#142

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=reconstruction-research-idea-recovery-astronomy · How It Works · Data refreshed daily, snapshot 2026-11-12.