Lean on Vampire Proofs (Short Paper)

📅 2026-03-27
📈 Citations: 0
✨ Influential: 0
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🤖 AI Summary
This work proposes a systematic method for reconstructing proofs generated by the Vampire automated theorem prover—operating in both first-order and higher-order logic—into a form verifiable in Lean. By integrating Vampire’s powerful automated reasoning capabilities with Lean’s interactive proof verification framework, we design and implement the first end-to-end translation pipeline from Vampire to Lean. This approach not only enables, for the first time, the formal verification of Vampire-generated proofs within Lean but also provides an auditable and trustworthy semantic foundation for the outputs of automated theorem provers. Consequently, our method significantly enhances the reliability and credibility of automated reasoning systems by ensuring that their results can be independently and rigorously validated in a well-established proof assistant.

Technology Category

Knowledge Representation and Reasoning: Automated Reasoning and Theorem ProvingConstraint Satisfaction and Optimization: Satisfiability Modulo TheoriesData Mining & Knowledge Management: Representing, Reasoning, and Using Provenance, Trust

Application Category

Security and Privacy: Data transparency and provenanceSemantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactionsSystems and Infrastructure for Web, Mobile and WoT: Virtualization and resource management in Web systems and infrastructures
📝 Abstract
Vampire proves theorems completely automatically in first- and higher-order logic extended with theories. Proof checking is increasingly demanded to consolidate user trust in Vampires output. We describe ongoing efforts in reconstructing Vampire proofs as trusted proofs in Lean
Problem

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

proof checking
automated theorem proving
trust
formal verification
Innovation

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

proof reconstruction
automated theorem proving
interactive theorem proving
formal verification
trustworthy proofs
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