{"total":20,"rows":[{"id":"2506.06941","title":"The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity","created":"2025-06-07","cited_by_count":302,"area":"lr"},{"id":"2505.16782","title":"Reasoning Beyond Language: A Comprehensive Survey on Latent Chain-of-Thought Reasoning","created":"2025-05-22","cited_by_count":78,"area":"lr"},{"id":"2502.20379","title":"Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers","created":"2025-02-27","cited_by_count":62,"area":"lr"},{"id":"2509.02350","title":"Implicit Reasoning in Large Language Models: A Comprehensive Survey","created":"2025-09-02","cited_by_count":43,"area":"lr"},{"id":"2602.01705","title":"LaDi-RL: Latent Diffusion Reasoning Prevents Entropy Collapse in Reinforcement Learning","created":"2026-02-02","cited_by_count":7,"area":"lr"},{"id":"2604.06374","title":"The Illusion of Superposition? A Principled Analysis of Latent Thinking in Language Models","created":"2026-04-07","cited_by_count":7,"area":"lr"},{"id":"2406.07393","title":"Large Language Models are Limited in Out-of-Context Knowledge Reasoning","created":"2024-06-11","cited_by_count":6,"area":"lr"},{"id":"2411.04535","title":"Meta-Reasoning Improves Tool Use in Large Language Models","created":"2024-11-07","cited_by_count":6,"area":"lr"},{"id":"2603.06222","title":"SPOT: Span-level Pause-of-Thought for Efficient and Interpretable Latent Reasoning in Large Language Models","created":"2026-03-06","cited_by_count":5,"area":"lr"},{"id":"2606.18089","title":"From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning","created":"2026-06-16","cited_by_count":5,"area":"lr"},{"id":"2508.16745","title":"Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling","created":"2025-08-22","cited_by_count":4,"area":"lr"},{"id":"2510.00219","title":"Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space","created":"2025-09-30","cited_by_count":4,"area":"lr"},{"id":"2602.01148","title":"Capabilities and Fundamental Limits of Latent Chain-of-Thought","created":"2026-02-01","cited_by_count":4,"area":"lr"},{"id":"2411.11371","title":"Rethinking Thinking Tokens: Understanding Why They Underperform in Practice","created":"2024-11-18","cited_by_count":2,"area":"lr"},{"id":"2509.24884","title":"Expanding Computation Spaces of LLMs at Inference Time","created":"2025-09-29","cited_by_count":2,"area":"lr"},{"id":"2607.18264","title":"MUX: Continuous Reasoning via Multiplexed Tokens","created":"2026-05-19","cited_by_count":2,"area":"lr"},{"id":"2603.20219","title":"Thinking into the Future: Latent Lookahead Training for Transformers","created":"2026-03-03","cited_by_count":1,"area":"lr"},{"id":"2510.22832","title":"HRM-Agent: Training a recurrent reasoning model in dynamic environments using reinforcement learning","created":"2025-10-26","cited_by_count":0,"area":"lr"},{"id":"2603.05197","title":"Masked diffusion LLMs can use EoS tokens for hidden reasoning","created":"2026-03-05","cited_by_count":0,"area":"lr"},{"id":"2610.06666","title":"What Matters for Latent Reasoning with Flow Matching","created":"2026-10-05","cited_by_count":0,"area":"lr"}],"next_cursor":null}