AIJul 2

Reformalization of the Jordan Curve Theorem

arXiv:2607.017340.8
Predicted impact top 100% in AI · last 90 daysOriginality Synthesis-oriented
AI Analysis

For proof assistant users, this provides insights into cross-system formalization, but the work is incremental as it applies existing methods to a new case study.

The authors reformalized the Jordan Curve Theorem from Mizar and HOL Light into Lean and Agda, analyzing pipeline design choices for practical reformalization.

We present a case study in reformalization, a variant of autoformalization in which the input proof is not natural language but a formal development in a different proof assistant. Concretely, we report three reformalizations of the Jordan Curve Theorem: from Mizar to Lean, from HOL Light to Lean, and from HOL Light to Agda. We analyse the results and identify pipeline design choices that matter for practical reformalization tasks.

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