mlsanityData to 7 Oct 2026

AXLE: A Cloud Infrastructure for Lean 4 Theorem Proving Utilities

arXiv 2606.26442 ↗First posted 24 Jun 2026cs.LO cs.AIcited by 4

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Abstract (arXiv)

We present AXLE (Axiom Lean Engine), a cloud service for Lean 4 proof manipulation, extraction, and verification. Recent progress in AI for mathematics -- reinforcement learning pipelines, agentic proving workflows, dataset curation -- demands Lean 4 tooling that scales to millions of requests while remaining correct and robust; existing infrastructure offers parallel compilation but not scalable proof verification, higher-level proof manipulation, multi-version support, or per-request isolation at the throughput modern AI workflows require. AXLE provides 14 Lean 4 metaprogramming tools spanning strict proof verification, declaration metadata extraction, semantic source manipulation, deterministic proof repair and simplification, and lemma extraction. The service runs as a multi-tenant cloud deployment with per-request isolation and concurrent support for multiple Lean 4 and Mathlib versions, accessible via a Python SDK, command-line interface, web UI, MCP server, and raw HTTP API. AXLE is publicly available and free to use at https://axle.axiommath.ai and via the axiom-axle PyPI package, with no local Lean 4 installation required. It has served over 500 million requests to date and is the underlying infrastructure for Axiom Math's proving efforts, including its 12/12 score on the 2025 Putnam competition.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 9 of its 25 references that are in the map. First posted on arXiv 24 Jun 2026.

Builds on

9 of 25 references.

References · 9

  1. 2023LeanDojo: Theorem Proving with Retrieval-Augmented Language Modelscited by 414
  2. 2025DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal Decompositioncited by 270
  3. 2025Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learningcited by 173
  4. 2025Seed-Prover: Deep and Broad Reasoning for Automated Theorem Provingcited by 96
  5. 2023An In-Context Learning Agent for Formal Theorem-Provingcited by 78
  6. 2025Hilbert: Recursively Building Formal Proofs with Informal Reasoningcited by 55
  7. 2025APOLLO: Automated LLM and Lean Collaboration for Advanced Formal Reasoningcited by 34
  8. 2025Kimina Lean Server: A High-Performance Lean Server for Large-Scale Verificationcited by 16
  9. 2024Pantograph: A Machine-to-Machine Interaction Interface for Advanced Theorem Proving, High Level Reasoning, and Data Extraction in Lean 4cited by 15

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 4.

4 papers.

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  1. 2026SorryDB: Can AI Provers Complete Real-World Lean Theorems?
  2. 2026Construction-Verification: A Benchmark for Applied Mathematics in Lean 4
  3. 2026Pythagoras-Prover: Advancing Efficient Formal Proving via Augmented Lean Formalisation
  4. 2026CAM-Bench: A Benchmark for Computational and Applied Mathematics in Lean
  5. 2026FormalProofBench: Can Models Write Graduate Level Math Proofs That Are Formally Verified?
  6. 2026OProver: A Unified Framework for Agentic Formal Theorem Proving
  7. 2025MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving
  8. 2026LAMP: Lean-based Agentic framework with MCP and Proof Repair