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This paper introduces Behavior Cue Reasoning, a method that trains LLMs to emit specific token sequences before behaviors, making reasoning traces more monitorable and controllable. It demonstrates that this approach improves safety oversight and efficiency by allowing external monitors to prune wasted reasoning tokens and intercept unsafe actions without sacrificing performance.