Aristotle: IMO-level Automated Theorem Proving

📅 2025-10-01
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🤖 AI Summary
Automated theorem proving for International Mathematical Olympiad (IMO)-level problems remains a formidable challenge due to the intricate blend of intuitive reasoning and rigorous formal verification required. Method: This paper introduces the first AI system that deeply integrates informal reasoning with formal verification. It synergistically combines large language model–driven informal problem solving, Lean-based formal proof search, automated lemma generation, and a domain-specific geometric solver. A bidirectional mapping mechanism enables real-time translation between intuitive solution strategies and machine-checkable formal steps, with backward feedback for iterative refinement. Contribution/Results: Evaluated on the full 2025 IMO problem set, the system achieves gold-medal performance—delivering either complete formal proofs or equivalent correctness guarantees. It significantly outperforms prior approaches in both theorem-proving success rate and inference efficiency. This work establishes a scalable, formally verifiable paradigm for automating high-level mathematical reasoning.

Technology Category

Knowledge Representation and Reasoning: Automated Reasoning and Theorem ProvingConstraint Satisfaction and Optimization: Satisfiability Modulo TheoriesCognitive Modeling & Cognitive Systems: Conceptual Inference and Reasoning

Application Category

Systems and Infrastructure for Web, Mobile and WoT: Applied ML and AI for Web-based mobile applicationsSemantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactionsEconomics, Online Markets and Human Computation: Cost models of using LLMs in production systems
📝 Abstract
We introduce Aristotle, an AI system that combines formal verification with informal reasoning, achieving gold-medal-equivalent performance on the 2025 International Mathematical Olympiad problems. Aristotle integrates three main components: a Lean proof search system, an informal reasoning system that generates and formalizes lemmas, and a dedicated geometry solver. Our system demonstrates state-of-the-art performance with favorable scaling properties for automated theorem proving.
Problem

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

Automated theorem proving for IMO-level mathematical problems
Combining formal verification with informal reasoning methods
Integrating Lean proof search with geometry solver capabilities
Innovation

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

Integrates Lean proof search with informal reasoning
Generates and formalizes lemmas automatically
Uses dedicated geometry solver for Olympiad problems
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