{"total":40,"rows":[{"id":"2503.09567","title":"Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models","created":"2025-03-12","cited_by_count":384,"area":"lr"},{"id":"2507.06203","title":"A Survey on Latent Reasoning","created":"2025-07-08","cited_by_count":81,"area":"lr"},{"id":"2602.11451","title":"LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation","created":"2026-02-11","cited_by_count":61,"area":"lr"},{"id":"2503.11314","title":"Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering","created":"2025-03-14","cited_by_count":36,"area":"lr"},{"id":"2510.07358","title":"Encode, Think, Decode: Scaling test-time reasoning with recursive latent thoughts","created":"2025-10-08","cited_by_count":24,"area":"lr"},{"id":"2509.26314","title":"Latent Thinking Optimization: Your Latent Reasoning Language Model Secretly Encodes Reward Signals in Its Latent Thoughts","created":"2025-09-30","cited_by_count":19,"area":"lr"},{"id":"2510.02091","title":"Demystifying the Roles of LLM Layers in Retrieval, Knowledge, and Reasoning","created":"2025-10-02","cited_by_count":15,"area":"lr"},{"id":"2601.18091","title":"From LLMs to LRMs: Rethinking Pruning for Reasoning-Centric Models","created":"2026-01-26","cited_by_count":10,"area":"lr"},{"id":"2511.02360","title":"LaRe: Latent Refocusing for Multimodal Reasoning","created":"2025-11-04","cited_by_count":8,"area":"lr"},{"id":"2605.11856","title":"UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs","created":"2026-05-12","cited_by_count":8,"area":"lr"},{"id":"2510.04506","title":"GRACE: Generative Representation Learning via Contrastive Policy Optimization","created":"2025-10-06","cited_by_count":7,"area":"lr"},{"id":"2603.10384","title":"Beyond Scalars: Evaluating and Understanding LLM Reasoning via Geometric Progress and Stability","created":"2026-03-11","cited_by_count":5,"area":"lr"},{"id":"2603.14117","title":"Improving Visual Reasoning with Iterative Evidence Refinement","created":"2026-03-14","cited_by_count":5,"area":"lr"},{"id":"2509.15271","title":"Large Vision Models Can Solve Mental Rotation Problems","created":"2025-09-18","cited_by_count":4,"area":"lr"},{"id":"2510.00579","title":"CoT Vectors: Transferring and Probing the Reasoning Mechanisms of LLMs","created":"2025-10-01","cited_by_count":4,"area":"lr"},{"id":"2602.04925","title":"Internalizing LLM Reasoning via Discovery and Replay of Latent Actions","created":"2026-02-04","cited_by_count":4,"area":"lr"},{"id":"2602.05805","title":"NEX: Neuron Explore-Exploit Scoring for Label-Free Chain-of-Thought Selection and Model Ranking","created":"2026-02-05","cited_by_count":4,"area":"lr"},{"id":"2603.12372","title":"Efficient Reasoning with Balanced Thinking","created":"2026-03-12","cited_by_count":4,"area":"lr"},{"id":"2511.03808","title":"Optimizing Reasoning Efficiency through Prompt Difficulty Prediction","created":"2025-11-05","cited_by_count":3,"area":"lr"},{"id":"2605.30161","title":"Why Far Looks Up: Probing Spatial Representation in Vision-Language Models","created":"2026-05-28","cited_by_count":3,"area":"lr"},{"id":"2508.10057","title":"Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning","created":"2025-08-12","cited_by_count":2,"area":"lr"},{"id":"2510.25776","title":"StreetMath: Study of LLMs' Approximation Behaviors","created":"2025-10-27","cited_by_count":2,"area":"lr"},{"id":"2511.19131","title":"Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization","created":"2025-11-24","cited_by_count":2,"area":"lr"},{"id":"2602.02103","title":"How Far Ahead Do LLMs Plan? Uncovering the Latent Horizon in Chain-of-Thought Reasoning","created":"2026-02-02","cited_by_count":2,"area":"lr"},{"id":"2604.23460","title":"Ulterior Motives: Detecting Misaligned Reasoning in Continuous Thought Models","created":"2026-04-25","cited_by_count":2,"area":"lr"},{"id":"2605.29327","title":"Reasoning-preserved Efficient Distillation of Large Language Models via Activation-aware Initialization","created":"2026-05-28","cited_by_count":2,"area":"lr"},{"id":"2505.23790","title":"Rethinking the Understanding Ability across LLMs through Mutual Information","created":"2025-05-25","cited_by_count":1,"area":"lr"},{"id":"2507.10007","title":"Deep Hidden Cognition Facilitates Reliable Chain-of-Thought Reasoning","created":"2025-07-14","cited_by_count":1,"area":"lr"},{"id":"2510.09189","title":"LLaMAX2: Your Translation-Enhanced Model also Performs Well in Reasoning","created":"2025-10-10","cited_by_count":1,"area":"lr"},{"id":"2601.21619","title":"On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency","created":"2026-01-29","cited_by_count":1,"area":"lr"},{"id":"2604.06377","title":"The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment","created":"2026-04-07","cited_by_count":1,"area":"lr"},{"id":"2604.20090","title":"Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework","created":"2026-04-22","cited_by_count":1,"area":"lr"},{"id":"2509.06472","title":"Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking","created":"2025-09-08","cited_by_count":0,"area":"lr"},{"id":"2602.09173","title":"$n$-Musketeers: Reinforcement Learning Shapes Collaboration Among Language Models","created":"2026-02-09","cited_by_count":0,"area":"lr"},{"id":"2602.21951","title":"RADAR: Reasoning as Discrimination with Aligned Representations for LLM-based Knowledge Graph Reasoning","created":"2026-02-25","cited_by_count":0,"area":"lr"},{"id":"2606.19750","title":"Manifold Bandits: Bayesian Curriculum Learning over the Latent Geometry of Large Language Models","created":"2026-06-18","cited_by_count":0,"area":"lr"},{"id":"2607.00434","title":"Information-Regularized Attention for Visual-Centric Reasoning","created":"2026-07-01","cited_by_count":0,"area":"lr"},{"id":"2608.30841","title":"HSRM: Hidden-State Reward Models for Test-Time Verification","created":"2026-08-31","cited_by_count":0,"area":"lr"},{"id":"2609.28442","title":"Order-Invariant Answers, Order-Sensitive Representations in Mathematical Reasoning","created":"2026-09-23","cited_by_count":0,"area":"lr"},{"id":"2609.38027","title":"Layer-Informed Fine-Tuning via Three-Stage Functional Segmentation of LLMs","created":"2026-09-28","cited_by_count":0,"area":"lr"}],"next_cursor":null}