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This paper introduces On-Policy Harness Self-Distillation (OPHSD), a method that internalizes the capabilities of inference-time reasoning harnesses into the base model through self-distillation. The approach improves standalone performance on complex reasoning tasks, allowing the model to retain reasoning scaffolds without permanent external dependencies.