{"total":15,"rows":[{"id":"2501.09686","title":"Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models","created":"2025-01-16","cited_by_count":293,"area":"wm"},{"id":"2404.05221","title":"LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models","created":"2024-04-08","cited_by_count":70,"area":"wm"},{"id":"2509.24948","title":"World-Env: Leveraging World Model as a Virtual Environment for VLA Post-Training","created":"2025-09-29","cited_by_count":59,"area":"wm"},{"id":"2506.14674","title":"Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models","created":"2025-06-17","cited_by_count":28,"area":"wm"},{"id":"2602.05842","title":"Reinforcement World Model Learning for LLM-based Agents","created":"2026-02-05","cited_by_count":24,"area":"wm"},{"id":"2410.03136","title":"Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model","created":"2024-10-04","cited_by_count":23,"area":"wm"},{"id":"2506.02918","title":"World Modelling Improves Language Model Agents","created":"2025-06-03","cited_by_count":14,"area":"wm"},{"id":"2608.25518","title":"Agentic Game Development as a Verifiable Trajectory Data Engine for Scaling World Models","created":"2026-08-26","cited_by_count":3,"area":"wm"},{"id":"2606.27806","title":"Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents","created":"2026-06-26","cited_by_count":0,"area":"wm"},{"id":"2607.01767","title":"Repair the Amplifier, Not the Symptom: Stable World-Model Correction for Agent Rollouts","created":"2026-07-02","cited_by_count":0,"area":"wm"},{"id":"2607.08894","title":"GATS: Graph-Augmented Tree Search with Layered World Models for Efficient Agent Planning","created":"2026-07-09","cited_by_count":0,"area":"wm"},{"id":"2608.02713","title":"Quo Vadis, World Modeling?","created":"2026-08-03","cited_by_count":0,"area":"wm"},{"id":"2609.13257","title":"Sampling headroom is not selection gain: a compute-value audit of test-time scaling for video world models","created":"2026-09-06","cited_by_count":0,"area":"wm"},{"id":"2610.15368","title":"ANTE: Anticipate, Then Execute -- Learning Internal World Models for Coding Agents from Verified Beliefs","created":"2026-10-11","cited_by_count":0,"area":"wm"},{"id":"2610.19642","title":"Model What Matters: Decision-Guided Selective World Modeling for Language Agents","created":"2026-10-14","cited_by_count":0,"area":"wm"}],"next_cursor":null}