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LLMs can be taught to "think longer" and explore more diverse reasoning paths in-context via a simple length-incentivized reward, leading to improved generalization.
RLVR training leaves a tell-tale sign: prompts encountered during fine-tuning produce unusually similar reasoning trajectories, detectable without access to model internals.
