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The paper introduces Cognitive Agent Compilation (CAC), a framework that uses teacher LLMs to compile problem-solving knowledge into explicit, inspectable agents for educational applications. It aims to address the lack of controllability and explainability in standard LLMs by separating knowledge representation from policy and verification rules.