cs.AIJul 14, 2026

Theory-Level Autoformalization: From Isolated Statements to Unified Formal Knowledge Bases

Authors: Marcus J. MinMike HeZhaoyu LiZixuan YiSharad MalikAarti GuptaXujie SiOsbert Bastani

Organizations: University of Pennsylvania · Princeton University · University of Toronto

Abstract

Autoformalization translates informal natural language into formal, machine-verifiable languages. While most work focuses on individual statements, real formalization efforts are inherently theory-level: they require an entire web of axioms, definitions, and lemmas before target theorems can even be stated. In this position paper, we argue for theory-level autoformalization: formalizing complete theories, including all their inter-dependencies, as structured libraries. We examine the significance of this shift, address alternative views, identify open challenges, and propose three promising paths forward. Our survey of autoformalization is available at https://github.com/marcusm117/Awesome-Autoformalization.

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