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This method introduces Instance-level Difficulty-Aware Control (IDAC), a reward-shaping mechanism that leverages pre-computed reference statistics (accuracy and token usage) to regulate reasoning depth and enables stable critic-free optimization without learned reward models or online reference-model queries.
