Authors:Moritz Firsching, Paul Lezeau, Salvatore Mercuri, Miklós Z. Horváth, Yaël Dillies, Calle Sönne, Eric Wieser, Fred Zhang, Thomas Hubert, Blaise Agüera y Arcas, Pushmeet Kohli
Abstract:As automated reasoning systems advance rapidly, there is a growing need for research-level formal mathematical problems to accurately evaluate their capabilities. To address this, we present Formal Conjectures, an evolving benchmark of currently 2615 mathematical problem statements formalized in Lean 4. Sourced from areas of active mathematical research, the dataset features 1029 open research conjectures providing a zero-contamination benchmark for mathematical proof discovery, and 836 solved problems for proof autoformalization. Notably, the repository provides a structured interface connecting mathematicians who formalize and clarify problems with the AI systems and humans attempting to solve them. Demonstrating its immediate utility, the benchmark has already been leveraged to make new mathematical discoveries, including the resolution of open research conjectures. We describe our approach to ensuring the correctness of these formalizations in a collaborative open-source project where contributions stem from an active community. In this framework, AI-generated proofs and disproofs serve as a valuable auditing mechanism to iteratively improve the fidelity of the benchmark. Finally, we provide a standardized evaluation setup and report baseline results on frozen evaluation subsets, demonstrating a climbable signal that measures the current frontier of automated reasoning on research-level mathematics.
| Comments: | 21 pages, 4 figures, 5 tables |
| Subjects: | Artificial Intelligence (cs.AI) |
| MSC classes: | 68V15, 03B35, 68T05 |
| ACM classes: | I.2.3; F.4.3; I.2.6 |
| Cite as: | arXiv:2605.13171 [cs.AI] |
| (or arXiv:2605.13171v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2605.13171 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Moritz Firsching [view email]
[v1]
Wed, 13 May 2026 08:33:15 UTC (5,817 KB)