Do Theorem Provers Need Theorem-Proving Agents? mini-Lean-agent: A Coding-Agent Baseline for Lean
We introduce mini-Lean-agent, a deliberately minimal agent for Lean tasks whose only model-visible tool is bash.
ProofPaper ↗
Key points
- General-purpose coding agents use standard shell and file interactions, yet formal theorem-proving agents often rely on specialized, ad-hoc tooling.
- We compare mini-Lean-agent against AxProverBase and Numina-Lean-Agent on the Putnam 2025 benchmark.
- Experiments with Gemini 3.8 Flash as the base model show that mini-Lean-agent solves 7/12 problems at $2 per problem limit, compared with AxProverBase's 4/12.
- Our results motivate using mini-Lean-agent as a standard baseline when evaluating theorem-proving infrastructure.
Sources (1)
- [1]Do Theorem Provers Need Theorem-Proving Agents? mini-Lean-agent: A Coding-Agent Baseline for LeanarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 12, 07:40 PM
We introduce mini-Lean-agent, a deliberately minimal agent for Lean tasks whose only model-visible tool is bash.
General-purpose coding agents use standard shell and file interactions, yet formal theorem-proving agents often rely on specialized, ad-hoc tooling.
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