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LLM2Cert synthesizes certificates checked by SMT solvers and Lean

Original title: LLM2Cert: LLM Synthesis of Certificates with SMT/Lean Verification

Hugging Face daily papersby Zhipeng Cao, Peiyang Song, Nikolaus Vertovec ()1 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

The method verifies 81 of 105 DynaCertBench instances, 17.1 points above one-shot proposals without feedback.

Researchers present LLM2Cert, which proposes Lyapunov and barrier certificates and checks each proof obligation with an SMT solver or a Lean proof-repair agent. They also release DynaCertBench, 105 instances spanning stability, region of attraction, forward invariance, and safety, including higher-dimensional and control-constrained systems. The paper reports 81 verified instances and 22 certificates that All-SMT leaves unresolved. Code and data are on GitHub.

Unconfirmed: Verification rates are the authors' reported results on their own benchmark.

Key facts
  • DynaCertBench contains 105 instances, including 80 systems curated from the literature.
  • LLM2Cert verifies 81 of 105 instances, reported as 77.1 percent.
  • Feedback lifts results by 17.1 percentage points over one-shot proposals.
  • Of 81 fixed certificates, 22 remain unresolved by All-SMT.
  • Code and data are at github.com/FormalCert-AI/llm2cert.
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From the original article

1 min read at huggingface.co

Lyapunov functions and barrier certificates give state-space guarantees of stability and safety, but synthesizing and verifying them---especially for nonlinear, high-dimensional systems---remains an open challenge.

Hugging Face daily papers

By Zhipeng Cao, Peiyang Song, Nikolaus Vertovec · huggingface.co

Read the full article at Hugging Face daily papers

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.