Cited by: s1: Simple test-time scaling
14 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.
- LADDER: Self-Improving LLMs Through Recursive Problem Decomposition
arxiv:2503.00735· evidence: title - The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models
arxiv:2503.02875· evidence: id - The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning
arxiv:2505.15134· evidence: id - Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
arxiv:2505.22954· evidence: id - Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning
arxiv:2506.06632· evidence: id - Hierarchical Reasoning Model
arxiv:2506.21734· evidence: title - Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved)
arxiv:2507.12856· evidence: id - SIM-CoT: Supervised Implicit Chain-of-Thought
arxiv:2509.20317· evidence: id - Olmo 3
arxiv:2512.13961· evidence: id - Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models
arxiv:2601.18734· evidence: id - Reinforcement Learning via Self-Distillation
arxiv:2601.20802· evidence: title - Structured Scaling of AI Discovery Across Diverse Scientific Domains
arxiv:2604.19341· evidence: title - Reliable Chain-of-Thought via Prefix Consistency
arxiv:2605.07654· evidence: title - Recursive Self-Improvement via On-Policy Distillation for Reasoning
arxiv:2609.30652· evidence: title