Cited by: Universal Transformers
21 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.
- Scaling Laws for Neural Language Models
arxiv:2001.08361· evidence: id - Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
arxiv:2006.16236· evidence: id - Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization
arxiv:2405.15071· evidence: title - Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
arxiv:2502.05171· evidence: id - Hierarchical Reasoning Model
arxiv:2506.21734· evidence: id - Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
arxiv:2507.10524· evidence: title - A Formal Comparison Between Chain of Thought and Latent Thought
arxiv:2509.25239· evidence: title - Universal Reasoning Model
arxiv:2512.14693· 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: id - Recirculation
arxiv:2608.17981· evidence: title - Latent Recurrent Thoughts: Recurrent Refinement of Proposed Latents for Reasoning with Frozen LLMs
arxiv:2609.01117· evidence: id - Reasoning on the Simplex: Geometric Fixed-Point Models
arxiv:2609.33540· evidence: title