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aiqbench analysis

This dataset provides a rigorous benchmark of 50 manually verified, AI-audited theorem statements from the *Annals of Mathematics*, specifically designed to evaluate the limits of current autoformalization tools in Lean 4. By releasing these hard instances without proofs, the authors enable the community to measure genuine progress in mathematical reasoning rather than trivial pattern matching.
Sources coveringarXiv, LessWrong
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

A dataset of formalised theorem statements from the Annals of Mathematics

arXiv1 min read

arXiv:2610.18301v1 Announce Type: new Abstract: Recent progress in autoformalisation of mathematics using AI has been impressive. Measuring this progress requires datasets of formal statements that are both hard and trustworthy. We present AnnalsChallenge: 50 formalised theorem statements written by hand in Lean 4 using Mathlib. Each is the main result of a paper published in the Annals of Mathematics since 2020. Every formalisation was manually reviewed and then audited by AI. We release them without formalised proofs.

Abstract:Recent progress in autoformalisation of mathematics using AI has been impressive. Measuring this progress requires datasets of formal statements that are both hard and trustworthy. We present AnnalsChallenge: 50 formalised theorem statements written by hand in Lean 4 using Mathlib. Each is the main result of a paper published in the Annals of Mathematics since 2020. Every formalisation was manually reviewed and then audited by AI. We release them without formalised proofs.

Artificial Intelligence (cs.AI)

arXiv:2610.18301 [cs.AI]

(or arXiv:2610.18301v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2610.18301 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 166 words

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