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This paper introduces CASPO, a framework for aligning token-level confidence with step-wise logical correctness in large reasoning models using iterative Direct Preference Optimization. It also proposes Confidence-aware Thought (CaT) for dynamically pruning uncertain reasoning branches during inference to improve reliability and efficiency.