Cites: When Does Continual Learning Require Learning

11 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.

• The Primacy Bias in Deep Reinforcement Learning
  arxiv:2205.07802 · evidence: title
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
  arxiv:2402.03300 · evidence: id
• Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
  arxiv:2505.22954 · evidence: id
• GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
  arxiv:2507.19457 · evidence: id
• Recursive Language Models
  arxiv:2512.24601 · evidence: id
• Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
  arxiv:2601.18734 · evidence: id
• Self-Distillation Enables Continual Learning
  arxiv:2601.19897 · evidence: id
• Reinforcement Learning via Self-Distillation
  arxiv:2601.20802 · evidence: id
• Meta Context Engineering via Agentic Skill Evolution
  arxiv:2601.21557 · evidence: id
• Meta-Harness: End-to-End Optimization of Model Harnesses
  arxiv:2603.28052 · evidence: id
• Maintaining Plasticity in Deep Continual Learning
  doi:10.1038/s41586-024-07711-7 · evidence: title