Learning from Repaired Reasoning: Root-Cause-Guided On-Policy Distillation

arXiv:2610.03515 · cs.CL · Submitted 2026-10-02 · Read on arXiv

cs.CL

Submitted: 2026-10-02

Updated: 2026-10-02

Code: https://github.com/Starrylay/RC-OPD

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Distillation — 1× in this paper · explained in 2 episodes
• On-Policy Distillation — 1× in this paper · explained in 3 episodes

Sources

• On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
• MiniLLM: On-Policy Distillation of Large Language Models
• OpenThoughts: Data Recipes for Reasoning Models
• DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models
• Entropy-Aware On-Policy Distillation of Language Models
• Let's Verify Step by Step
• When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning
• AVSD: Adaptive-View Self-Distillation by Balancing Consensus and Teacher-Specific Privileged Signals
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Self-Distillation Enables Continual Learning
• Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
• Qwen3 Technical Report
• Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
• Beyond Imitation: Reflective On-Policy Self-Distillation for LLM Reasoning

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