Cited by: Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation

12 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.

• A Formal Comparison Between Chain of Thought and Latent Thought
  arxiv:2509.25239 · 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
• The Topological Trouble With Transformers
  arxiv:2604.17121 · evidence: title
• Universal Transformers Need Memory: Depth-State Trade-offs in Adaptive Recursive Reasoning
  arxiv:2604.21999 · evidence: id
• Solve the Loop: Attractor Models for Language and Reasoning
  arxiv:2605.12466 · evidence: id
• Generative Recursive Reasoning
  arxiv:2605.19376 · evidence: id
• Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning
  arxiv:2605.21488 · evidence: title
• Skip a Layer or Loop It? Learning Program-of-Layers in LLMs
  arxiv:2606.06574 · evidence: id
• Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers
  arxiv:2606.18206 · evidence: title
• Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers
  arxiv:2606.31779 · evidence: title
• Recirculation
  arxiv:2608.17981 · evidence: title