Cites: Solve the Loop: Attractor Models for Language and Reasoning

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.

• Universal Transformers
  arxiv:1807.03819 · evidence: id
• The Llama 3 Herd of Models
  arxiv:2407.21783 · evidence: title
• Training Large Language Models to Reason in a Continuous Latent Space
  arxiv:2412.06769 · evidence: id
• Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
  arxiv:2502.05171 · evidence: id
• Reinforcement Pre-Training
  arxiv:2506.08007 · evidence: title
• Hierarchical Reasoning Model
  arxiv:2506.21734 · evidence: id
• Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
  arxiv:2507.10524 · evidence: id
• SIM-CoT: Supervised Implicit Chain-of-Thought
  arxiv:2509.20317 · evidence: id
• A Formal Comparison Between Chain of Thought and Latent Thought
  arxiv:2509.25239 · evidence: id
• Less is More: Recursive Reasoning with Tiny Networks
  arxiv:2510.04871 · evidence: id
• ELT: Elastic Looped Transformers for Visual Generation
  arxiv:2604.09168 · evidence: id
• A Mechanistic Analysis of Looped Reasoning Language Models
  arxiv:2604.11791 · evidence: id
• Universal Transformers Need Memory: Depth-State Trade-offs in Adaptive Recursive Reasoning
  arxiv:2604.21999 · evidence: id