A machine-checked proof of the Dong-Yang classification of optimal (n,4) binary codes for BSCs

📅 2026-09-05
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🤖 AI Summary
使用AI工具辅助Lean 4形式化验证Dong和Yang关于最优(n,4)二进制码分类的证明,修正了原论文中的错误并简化了证明。
📝 Abstract
We present a machine-checked Lean~4 formalization of Dong and Yang's classification of optimal finite-length $(n,4)$ binary block codes for binary symmetric channels. The formalization was developed mainly by feeding the paper's proofs to an AI tool. To establish correctness, the authors verified the main theorem statements in Lean and the accepted axioms. This note discusses the corrections and simplifications made to the AI-generated formalization, and records discrepancies found in the paper during the formalization. The Lean code is available at https://github.com/shhyang/n4code_lean.
Problem

Research questions and friction points this paper is trying to address.

binary symmetric channels
optimal (n,4) binary codes
formal verification
Innovation

Methods, ideas, or system contributions that make the work stand out.

machine-checked proof
AI tool
formalization
binary symmetric channels
Lean 4
Shenghao Yang
Shenghao Yang
The Chinese University of Hong Kong, Shenzhen
Network CodingInformation TheoryCoding Theory
Y
Yanyan Dong
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P. R. China.