cake_lpr: Verified Propagation Redundancy Checking in CakeML

Author:

Tan Yong KiamORCID,Heule Marijn J. H.ORCID,Myreen Magnus O.ORCID

Abstract

AbstractModern SAT solvers can emit independently checkable proof certificates to validate their results. The state-of-the-art proof system that allows for compact proof certificates is propagation redundancy (PR). However, the only existing method to validate proofs in this system with a formally verified tool requires a transformation to a weaker proof system, which can result in a significant blowup in the size of the proof and increased proof validation time. This paper describes the first approach to formally verify PR proofs on a succinct representation; we present (i) a new Linear PR (LPR) proof format, (ii) a tool to efficiently convert PR proofs into LPR format, and (iii) , a verified LPR proof checker developed in CakeML. The LPR format is backwards compatible with the existing LRAT format, but extends the latter with support for the addition of PR clauses. Moreover, is verified using CakeML ’s binary code extraction toolchain, which yields correctness guarantees for its machine code (binary) implementation. This further distinguishes our clausal proof checker from existing ones because unverified extraction and compilation tools are removed from its trusted computing base. We experimentally show that LPR provides efficiency gains over existing proof formats and that the strong correctness guarantees are obtained without significant sacrifice in the performance of the verified executable.

Publisher

Springer International Publishing

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. CaDiCaL 2.0;Lecture Notes in Computer Science;2024

2. From Clauses to Klauses;Lecture Notes in Computer Science;2024

3. Incorporating a Database of Graphs into a Proof Assistant;Lecture Notes in Computer Science;2024

4. Preprocessing of Propagation Redundant Clauses;Journal of Automated Reasoning;2023-09

5. Generating Extended Resolution Proofs with a BDD-Based SAT Solver;ACM Transactions on Computational Logic;2023-07-25

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