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A neural evaluator predicts Lean 4 proof acceptance with 87.8% accuracy and achieves 4.2x the throughput of a multi-worker Lean baseline, drastically accelerating proof discovery.
Closed-source AI models can outperform open-weight counterparts by 10% on seemingly simple tasks, revealing hidden vulnerabilities in multimodal systems.