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A single auditor can generate its own hard training examples, turning a static dataset into a renewable source for improved failure prediction in multi-agent systems.
Even the most advanced LLMs like GPT-5.2 and Gemini-3 stumble on complex optimization problems, achieving only 27% accuracy on a new benchmark spanning stochastic, dynamic, and game optimization.