Cites: Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning

10 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.

• Universal Transformers
  arxiv:1807.03819 · evidence: title
• Sharpness-Aware Minimization for Efficiently Improving Generalization
  arxiv:2010.01412 · evidence: title
• Training Large Language Models to Reason in a Continuous Latent Space
  arxiv:2412.06769 · evidence: title
• Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
  arxiv:2502.05171 · evidence: title
• Hierarchical Reasoning Model
  arxiv:2506.21734 · evidence: title
• Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
  arxiv:2507.10524 · evidence: title
• SIM-CoT: Supervised Implicit Chain-of-Thought
  arxiv:2509.20317 · evidence: title
• Less is More: Recursive Reasoning with Tiny Networks
  arxiv:2510.04871 · evidence: title
• Universal Reasoning Model
  arxiv:2512.14693 · evidence: title
• A Mechanistic Analysis of Looped Reasoning Language Models
  arxiv:2604.11791 · evidence: title