Cites: The Topological Trouble With Transformers

9 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
• Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
  arxiv:2006.16236 · evidence: title
• Physics of Language Models: Part 1, Learning Hierarchical Language Structures
  arxiv:2305.13673 · evidence: id
• 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
• Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
  arxiv:2507.10524 · evidence: title
• Less is More: Recursive Reasoning with Tiny Networks
  arxiv:2510.04871 · evidence: id
• Recirculation
  arxiv:2608.17981 · evidence: id
• Attribution graphs, the biology of the model
  url:transformer-circuits.pub/2025/attribution-graphs/biology.html · evidence: url