AI
OpenFrontiers: A Collection of Open Research Problems and a Benchmark for Scientific Rediscovery
Publication: cs.AI updates on arXiv.org
Author: Jiarui Yao, Ruida Wang, Tong Zhang
Source published: 30/10/2026, 04:00:00 UTC
Briefing created: 30/10/2026, 09:56:29 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 30/10/2026, 06:48:24 UTC.
Briefings
OpenFrontiers is a cross-disciplinary resource combining 12,151 open research problems with a benchmark of 200 previously solved problems. It evaluates seven LLM agents on the HQ-50 subset using formal proofs under closed-book, frozen-retrieval, and live-web conditions. The study found that closed-book rediscovery is rare, occurring in at most 7 of 40 resolved problems, while live-web success primarily reflects retrieval of published solutions.
Key points
- OpenFrontiers contains 12,151 open research problems with problem statements, context, progress, and other information.
- The benchmark includes 200 resolved problems, 90 still open, each with a Lean~4 statement checked by automated probes and two independent reviews.
Context
This resource addresses the lack of a comprehensive collection of open research problems and the difficulty in evaluating them on research-level challenges. It provides a foundation for measuring research-level rediscovery and studying progress toward solving currently open scientific problems.
Limitations
Evaluation results are limited to the HQ-50 subset of 200 resolved problems. Closed-book rediscovery is rare, occurring in at most 7 of 40 resolved problems. Live-web success mostly reflects retrieval of published solutions rather than independent rediscovery.
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