{"total":18,"rows":[{"id":"2606.24597","title":"Qwen-AgentWorld: Language World Models for General Agents","created":"2026-06-23","cited_by_count":28,"area":"wm"},{"id":"2604.22748","title":"Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond","created":"2026-04-24","cited_by_count":14,"area":"wm"},{"id":"2608.25927","title":"Code World Model: Coding Agent as World Brain","created":"2026-08-26","cited_by_count":14,"area":"wm"},{"id":"2602.01576","title":"Generative Visual Code Mobile World Models","created":"2026-02-02","cited_by_count":13,"area":"wm"},{"id":"2605.30880","title":"PatchWorld: Gradient-Free Optimization of Executable World Models for Agent Environments","created":"2026-05-29","cited_by_count":7,"area":"wm"},{"id":"2602.06130","title":"Self-Improving World Modelling with Latent Actions","created":"2026-02-05","cited_by_count":5,"area":"wm"},{"id":"2602.07672","title":"Debugging code world models","created":"2026-02-07","cited_by_count":5,"area":"wm"},{"id":"2605.24375","title":"Distilling Game Code World Model Generation into Lightweight Large Language Models","created":"2026-05-23","cited_by_count":5,"area":"wm"},{"id":"2609.16679","title":"AI for Games in the Foundation Model Era","created":"2026-09-15","cited_by_count":3,"area":"wm"},{"id":"2607.25236","title":"VisualPatchWorld: Code World Models as Latent Structured Representations for Planning","created":"2026-07-28","cited_by_count":2,"area":"wm"},{"id":"2602.02799","title":"Joint Learning of Hierarchical Neural Options and Abstract World Model","created":"2026-02-02","cited_by_count":1,"area":"wm"},{"id":"2605.16725","title":"Baba in Wonderland: Online Self-Supervised Dynamics Discovery for Executable World Models","created":"2026-05-16","cited_by_count":1,"area":"wm"},{"id":"2609.09163","title":"World-Time Compute with Verified Code World Models","created":"2026-07-07","cited_by_count":1,"area":"wm"},{"id":"2609.35047","title":"EMPIRIC: Experiment-Driven Learning of Residual World Models for Robot Planning","created":"2026-09-28","cited_by_count":1,"area":"wm"},{"id":"2608.18079","title":"Position: Profiling Game Worlds by Transition Complexity","created":"2026-05-29","cited_by_count":0,"area":"wm"},{"id":"2609.01608","title":"WMLLM: Self-Evolving Optimization Agents via Predict-Then-Act World Modeling","created":"2026-06-02","cited_by_count":0,"area":"wm"},{"id":"2609.31874","title":"COUNTERMEM: World-Model Verified Counter-Factual Memory for Language Agents","created":"2026-09-25","cited_by_count":0,"area":"wm"},{"id":"2610.11794","title":"Memento 3: Model-Based Recursive Self-Improvement through Reflective Rulebooks","created":"2026-10-08","cited_by_count":0,"area":"wm"}],"next_cursor":null}