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This paper introduces TESSY, a teacher-student cooperative framework for fine-tuning reasoning models that generates on-policy SFT data by decoupling generation into capability tokens (from teacher) and style tokens (from student), addressing catastrophic forgetting issues when using off-policy teacher data.