Cited by: Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
13 citation edges inside this catalog. A title match is weaker evidence than an identifier match. Zero entries does not mean no citations on the web.
- Self-Distillation Enables Continual Learning
arxiv:2601.19897· evidence: id - Reinforcement Learning via Self-Distillation
arxiv:2601.20802· evidence: id - Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?
arxiv:2603.24472· evidence: title - Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
arxiv:2603.25562· evidence: id - Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing
arxiv:2604.02288· evidence: id - Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe
arxiv:2604.13016· evidence: id - OPRD: On-Policy Representation Distillation
arxiv:2606.06021· evidence: id - Learning from Own Solutions: Self-Conditioned Credit Assignment for Reinforcement Learning with Verifiable Rewards
arxiv:2606.18810· evidence: id - When Does Continual Learning Require Learning
arxiv:2607.07847· evidence: id - Latent On-Policy Self-Distillation
arxiv:2608.13040· evidence: id - TTPO: Test-Time Policy Optimization
arxiv:2608.27448· evidence: id - Recursive Self-Improvement via On-Policy Distillation for Reasoning
arxiv:2609.30652· evidence: title - Finetuning with Sampling: SFT Learns Better Than You Think
arxiv:2610.02140· evidence: id