{"total":70,"rows":[{"id":"2511.21395","title":"Monet: Reasoning in Latent Visual Space Beyond Images and Language","created":"2025-11-26","cited_by_count":82,"area":"lr"},{"id":"2604.02029","title":"The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook","created":"2026-04-02","cited_by_count":43,"area":null},{"id":"2603.01928","title":"LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving","created":"2026-03-02","cited_by_count":28,"area":"lr"},{"id":"2602.01166","title":"Latent Reasoning VLA: Latent Thinking and Prediction for Vision-Language-Action Models","created":"2026-02-01","cited_by_count":22,"area":"lr"},{"id":"2511.06411","title":"SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization","created":"2025-11-09","cited_by_count":21,"area":"lr"},{"id":"2605.26733","title":"Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models","created":"2026-05-26","cited_by_count":21,"area":"lr"},{"id":"2603.22280","title":"DualCoT-VLA: Visual-Linguistic Chain of Thought via Parallel Reasoning for Vision-Language-Action Models","created":"2026-03-23","cited_by_count":20,"area":"lr"},{"id":"2605.21488","title":"Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning","created":"2026-05-20","cited_by_count":18,"area":"lr"},{"id":"2601.10129","title":"LaViT: Aligning Latent Visual Thoughts for Multi-modal Reasoning","created":"2026-01-15","cited_by_count":15,"area":null},{"id":"2512.05111","title":"ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning","created":"2025-12-04","cited_by_count":13,"area":"lr"},{"id":"2605.12466","title":"Solve the Loop: Attractor Models for Language and Reasoning","created":"2026-05-12","cited_by_count":13,"area":"lr"},{"id":"2606.31779","title":"Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers","created":"2026-06-30","cited_by_count":13,"area":"lr"},{"id":"2510.24693","title":"STAR-Bench: Probing Deep Spatio-Temporal Reasoning as Audio 4D Intelligence","created":"2025-10-28","cited_by_count":11,"area":"lr"},{"id":"2602.08783","title":"Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure","created":"2026-02-09","cited_by_count":11,"area":"lr"},{"id":"2604.18486","title":"Xiaomi OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation","created":"2026-04-20","cited_by_count":10,"area":"wm"},{"id":"2509.25020","title":"Deep Thinking by Markov Chain of Continuous Thoughts","created":"2025-09-29","cited_by_count":9,"area":"lr"},{"id":"2510.16720","title":"Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI","created":"2025-10-19","cited_by_count":8,"area":"agents"},{"id":"2602.07075","title":"LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning","created":"2026-02-06","cited_by_count":8,"area":"lr"},{"id":"2602.11683","title":"ThinkRouter: Efficient Reasoning via Routing Thinking between Latent and Discrete Spaces","created":"2026-02-12","cited_by_count":8,"area":"lr"},{"id":"2604.20328","title":"HyLaR: Hybrid Latent Reasoning with Decoupled Policy Optimization","created":"2026-04-22","cited_by_count":6,"area":"lr"},{"id":"2601.21576","title":"Chain Of Thought Compression: A Theoretical Analysis","created":"2026-01-29","cited_by_count":5,"area":"lr"},{"id":"2602.13738","title":"OneLatent: Single-Token Compression for Visual Latent Reasoning","created":"2026-02-14","cited_by_count":5,"area":"lr"},{"id":"2602.16455","title":"Visual Self-Refine: A Pixel-Guided Paradigm for Accurate Chart Parsing","created":"2026-02-18","cited_by_count":5,"area":"mllm"},{"id":"2606.13061","title":"LaME: Learning to Think in Latent Space for Multimodal Embedding via Information Bottleneck","created":"2026-06-11","cited_by_count":5,"area":"lr"},{"id":"2602.08220","title":"Pretraining with Token-Level Adaptive Latent Chain-of-Thought","created":"2026-02-09","cited_by_count":4,"area":"lr"},{"id":"2602.10229","title":"Latent Thoughts Tuning: Bridging Context and Reasoning with Fused Information in Latent Tokens","created":"2026-02-10","cited_by_count":4,"area":"lr"},{"id":"2604.10500","title":"Visual Enhanced Depth Scaling for Multimodal Latent Reasoning","created":"2026-04-12","cited_by_count":3,"area":"lr"},{"id":"2605.12163","title":"Self-Consistent Latent Reasoning: Long Latent Sequence Reasoning for Vision-Language Model","created":"2026-05-12","cited_by_count":3,"area":"lr"},{"id":"2605.19342","title":"Semantic-Enriched Latent Visual Reasoning","created":"2026-05-19","cited_by_count":3,"area":"lr"},{"id":"2606.01243","title":"Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention","created":"2026-05-31","cited_by_count":3,"area":"lr"},{"id":"2606.05769","title":"Imagine Before You Predict: Interleaved Latent Visual Reasoning for Video Event Prediction","created":"2026-06-04","cited_by_count":3,"area":"lr"},{"id":"2606.20075","title":"What Makes Effective Supervision in Latent Chain-of-Thought: An Information-Theoretic Analysis","created":"2026-06-18","cited_by_count":3,"area":"lr"},{"id":"2606.29712","title":"Why Struggle with Continuous Latents? Interpretable Discrete Latent Reasoning via Rendered Compression","created":"2026-06-29","cited_by_count":2,"area":"lr"},{"id":"2607.21981","title":"J-CoT: Chain-of-Thought in J-Space","created":"2026-07-24","cited_by_count":2,"area":"lr"},{"id":"2511.18924","title":"LLM-Driven Kernel Evolution: Automating Driver Updates in Linux","created":"2025-11-24","cited_by_count":1,"area":null},{"id":"2602.04246","title":"CoLT: Reasoning with Chain of Latent Tool Calls","created":"2026-02-04","cited_by_count":1,"area":"lr"},{"id":"2603.07598","title":"SCA: Segment-Wise CoT Compression with Answer Alignment","created":"2026-03-08","cited_by_count":1,"area":"lr"},{"id":"2604.14889","title":"MemoSight: Unifying Context Compression and Multi Token Prediction for Reasoning Acceleration","created":"2026-04-16","cited_by_count":1,"area":"lr"},{"id":"2605.20075","title":"CopT: Contrastive On-Policy Thinking with Continuous Spaces for General and Agentic Reasoning","created":"2026-05-19","cited_by_count":1,"area":"lr"},{"id":"2606.16360","title":"Tyler: Typed Latent Reasoning for Language Models -- When to Think, What to Compute, and How Much to Allocate","created":"2026-06-15","cited_by_count":1,"area":"lr"},{"id":"2607.13454","title":"GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding","created":"2026-07-15","cited_by_count":1,"area":"lr"},{"id":"2608.27265","title":"SCIT: Testing Causal Cache Carriers in Latent Chain-of-Thought Models","created":"2026-08-27","cited_by_count":1,"area":"lr"},{"id":"2609.07821","title":"A*-Thought-V2: Efficient Latent Reasoning via Geometric Dynamics of LLM","created":"2026-09-07","cited_by_count":1,"area":"lr"},{"id":"2609.09928","title":"Structural Process Supervision for Latent Chain-of-Thought Reasoning","created":"2026-09-09","cited_by_count":1,"area":"lr"},{"id":"2609.18461","title":"Disentangling Long-Term Memory via Latent Neuro-Symbolic Reasoning","created":"2026-09-16","cited_by_count":1,"area":"lr"},{"id":"2609.22228","title":"Assessing Adversarial Robustness of Latent Reasoning Models","created":"2026-09-03","cited_by_count":1,"area":"lr"},{"id":"2603.29165","title":"LatentPilot: Scene-Aware Vision-and-Language Navigation by Dreaming Ahead with Latent Visual Reasoning","created":"2026-03-31","cited_by_count":0,"area":"lr"},{"id":"2605.28292","title":"CIRF: Tokenizing Chain-of-Thoughts into Reusable Functional Units for Efficient Latent Reasoning in Large Language Models","created":"2026-05-27","cited_by_count":0,"area":"lr"},{"id":"2605.28422","title":"VITAL: Visual-Semantic Dual Supervision for Enhanced and Interpretable Latent Reasoning in Medical MLLMs","created":"2026-05-27","cited_by_count":0,"area":"lr"},{"id":"2606.05315","title":"LoRi: Low-Rank Distillation for Implicit Reasoning","created":"2026-06-03","cited_by_count":0,"area":"lr"},{"id":"2606.06840","title":"Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces","created":"2026-06-05","cited_by_count":0,"area":"lr"},{"id":"2606.10572","title":"One Token per Multimodal Evidence: Latent Memory for Resource-Constrained QA","created":"2026-06-09","cited_by_count":0,"area":"mllm"},{"id":"2606.10768","title":"N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization","created":"2026-06-09","cited_by_count":0,"area":"lr"},{"id":"2606.19338","title":"Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games","created":"2026-06-17","cited_by_count":0,"area":"mllm"},{"id":"2606.20737","title":"Repeated Shared Access Enables Grokking, but Edit Propagation Depends on an Addressable Memory","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2606.27684","title":"Intuition-Guided Latent Reasoning for LLM-Based Recommendation","created":"2026-06-26","cited_by_count":0,"area":"lr"},{"id":"2607.09698","title":"Interpreting Latent CoT Reasoning as Dynamical Systems","created":"2026-06-20","cited_by_count":0,"area":"lr"},{"id":"2607.18618","title":"LatentMT: Machine Translation with Latent Reasoning","created":"2026-07-21","cited_by_count":0,"area":"lr"},{"id":"2607.19691","title":"SLPO: Scaling Latent Reasoning via a Surrogate Policy","created":"2026-07-22","cited_by_count":0,"area":"lr"},{"id":"2608.04928","title":"Does Out-of-Sight Equal Out-of-Mind in CoT Monitorability?","created":"2026-08-05","cited_by_count":0,"area":"lr"},{"id":"2609.07406","title":"Think Wider: Mitigating Latent Rank Collapse in Implicit Chain-of-Thought Reasoning","created":"2026-09-07","cited_by_count":0,"area":"lr"},{"id":"2609.15338","title":"Dynamic Semantic Compression for Efficient Latent-Space Inference in Large Language Models","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2609.38149","title":"Pretraining Latent Information Feedback Transformers with Teacher Supervision","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.38717","title":"Soft Spatial Reasoning","created":"2026-09-30","cited_by_count":0,"area":"lr"},{"id":"2609.39740","title":"LatentHarness: Learning Latent Actions for Memory and Reasoning via Counterfactual Policy Distillation","created":"2026-09-30","cited_by_count":0,"area":"lr"},{"id":"2610.03839","title":"SYNLAT: Syntax-Aligned Text-Latent Compression for Chain-of-Thought Reasoning","created":"2026-10-02","cited_by_count":0,"area":"lr"},{"id":"2610.07175","title":"CALR: Continuous Anchored Latent Reasoning via Render-of-Thought Compression","created":"2026-10-05","cited_by_count":0,"area":null},{"id":"2610.17189","title":"Soft Teacher Forcing","created":"2026-10-12","cited_by_count":0,"area":"lr"},{"id":"2610.19568","title":"INTACT: Inducing Latent Reasoning on a Frozen Backbone","created":"2026-10-14","cited_by_count":0,"area":null},{"id":"2610.19871","title":"Rationale Distribution Distillation via Flow Matching for Distributional Continuous Latent Reasoning","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}