Cited by: Training Large Language Models to Reason in a Continuous Latent Space
19 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.
- Communicating Activations Between Language Model Agents
arxiv:2501.14082· evidence: id - Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
arxiv:2502.05171· evidence: id - Hierarchical Reasoning Model
arxiv:2506.21734· evidence: title - 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: title - A Formal Comparison Between Chain of Thought and Latent Thought
arxiv:2509.25239· evidence: title - Enabling Agents to Communicate Entirely in Latent Space
arxiv:2511.09149· evidence: id - Self-Improving Pretraining: using post-trained models to pretrain better models
arxiv:2601.21343· evidence: id - The Topological Trouble With Transformers
arxiv:2604.17121· evidence: title - 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 - 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 - BDH-CQ: In-Context Learning with Recurrent Latent Reasoning
arxiv:2608.09888· evidence: id - Latent On-Policy Self-Distillation
arxiv:2608.13040· 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 - AI 2027 (Kokotajlo)
url:ai-2027.com· evidence: id