{"total":21,"rows":[{"id":"2601.10679","title":"Are Your Reasoning Models Reasoning or Guessing? A Mechanistic Analysis of Hierarchical Reasoning Models","created":"2026-01-15","cited_by_count":10,"area":"lr"},{"id":"2602.03814","title":"Conformal Thinking: Risk Control for Reasoning on a Compute Budget","created":"2026-02-03","cited_by_count":10,"area":"lr"},{"id":"2605.08083","title":"LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling","created":"2026-05-08","cited_by_count":10,"area":"lr"},{"id":"2605.17672","title":"Stop When Reasoning Converges: Semantic-Preserving Early Exit for Reasoning Models","created":"2026-05-17","cited_by_count":7,"area":"lr"},{"id":"2603.12529","title":"TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning","created":"2026-03-13","cited_by_count":6,"area":"lr"},{"id":"2604.04930","title":"Early Stopping for Large Reasoning Models via Confidence Dynamics","created":"2026-04-06","cited_by_count":6,"area":"lr"},{"id":"2602.13407","title":"On-Policy Supervised Fine-Tuning for Efficient Reasoning","created":"2026-02-13","cited_by_count":4,"area":"lr"},{"id":"2606.02020","title":"Unveiling the Entropy Dynamics of Chain-of-Thought Reasoning","created":"2026-06-01","cited_by_count":4,"area":"lr"},{"id":"2602.11202","title":"interwhen: A Generalizable Framework for Steering Reasoning Models with Test-time Verification","created":"2026-02-05","cited_by_count":2,"area":"lr"},{"id":"2602.14903","title":"The Potential of CoT for Reasoning: A Closer Look at Trace Dynamics","created":"2026-02-16","cited_by_count":2,"area":"lr"},{"id":"2606.30852","title":"When Does Learning to Stop Help? A Cost-Aware Study of Early Exits in Reasoning Models","created":"2026-06-29","cited_by_count":2,"area":"lr"},{"id":"2603.08462","title":"Reasoning as Compression: Unifying Budget Forcing via the Conditional Information Bottleneck","created":"2026-03-09","cited_by_count":1,"area":"lr"},{"id":"2603.22016","title":"ROM: Real-time Overthinking Mitigation via Streaming Detection and Intervention","created":"2026-03-23","cited_by_count":1,"area":"lr"},{"id":"2604.00018","title":"Think Twice Before You Write -- an Entropy-based Decoding Strategy to Enhance LLM Reasoning","created":"2026-03-10","cited_by_count":1,"area":"lr"},{"id":"2606.12402","title":"DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners?","created":"2026-06-10","cited_by_count":1,"area":"lr"},{"id":"2608.27963","title":"SABER: Stability-Aware Early Exit for LLM Reasoning via Adversarial Branch Probing","created":"2026-08-28","cited_by_count":1,"area":"lr"},{"id":"2510.14211","title":"LiteStage: Latency-aware Layer Skipping for Multi-stage Reasoning","created":"2025-10-16","cited_by_count":0,"area":"lr"},{"id":"2512.14332","title":"Step-Tagging: Toward controlling the generation of Language Reasoning Models through step monitoring","created":"2025-12-16","cited_by_count":0,"area":"lr"},{"id":"2604.21057","title":"TRACES: Tagging Reasoning Steps for Adaptive Cost-Efficient Early-Stopping","created":"2026-04-22","cited_by_count":0,"area":"lr"},{"id":"2609.20846","title":"Rewarding Efficient Reasoning Improves Abstention on Underspecified Tasks in Reasoning Models","created":"2026-08-05","cited_by_count":0,"area":"lr"},{"id":"2609.31619","title":"Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency","created":"2026-09-25","cited_by_count":0,"area":"lr"}],"next_cursor":null}