{"total":22,"rows":[{"id":"2409.12278","title":"Making Large Language Models into World Models with Precondition and Effect Knowledge","created":"2024-09-18","cited_by_count":22,"area":"wm"},{"id":"2506.01622","title":"General agents contain world models","created":"2025-06-02","cited_by_count":17,"area":"wm"},{"id":"2511.02097","title":"A Step Toward World Models: A Survey on Robotic Manipulation","created":"2025-10-31","cited_by_count":15,"area":"wm"},{"id":"2411.06890","title":"SPARTAN: A Sparse Transformer World Model Attending to What Matters","created":"2024-11-11","cited_by_count":10,"area":"wm"},{"id":"2410.19923","title":"Language Agents Meet Causality -- Bridging LLMs and Causal World Models","created":"2024-10-25","cited_by_count":9,"area":"wm"},{"id":"2502.09297","title":"When Do Neural Networks Learn World Models?","created":"2025-02-13","cited_by_count":8,"area":"wm"},{"id":"2608.09696","title":"Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models","created":"2026-08-10","cited_by_count":7,"area":"wm"},{"id":"2506.02996","title":"Linear Spatial World Models Emerge in Large Language Models","created":"2025-06-03","cited_by_count":6,"area":"wm"},{"id":"2608.04653","title":"Overcoming Statistical Bias in Action-Controllable World Models","created":"2026-08-05","cited_by_count":6,"area":"wm"},{"id":"2506.23068","title":"Curious Causality-Seeking Agents Learn Meta Causal World","created":"2025-06-29","cited_by_count":4,"area":"wm"},{"id":"2509.03636","title":"CausalARC: Abstract Reasoning with Causal World Models","created":"2025-09-03","cited_by_count":4,"area":"wm"},{"id":"2605.30346","title":"YoCausal: How Far is Video Generation from World Model? A Causality Perspective","created":"2026-05-28","cited_by_count":3,"area":"wm"},{"id":"2505.02074","title":"Learning Local Causal World Models with State Space Models and Attention","created":"2025-05-04","cited_by_count":2,"area":"wm"},{"id":"2603.02491","title":"What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under Uncertainty","created":"2026-03-03","cited_by_count":2,"area":"wm"},{"id":"2603.06445","title":"What if? Emulative Simulation with World Models for Situated Reasoning","created":"2026-03-06","cited_by_count":2,"area":"wm"},{"id":"2605.06066","title":"Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark","created":"2026-05-07","cited_by_count":1,"area":"wm"},{"id":"2505.14396","title":"Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds","created":"2025-05-20","cited_by_count":0,"area":"wm"},{"id":"2606.29799","title":"The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models","created":"2026-06-29","cited_by_count":0,"area":"wm"},{"id":"2607.26336","title":"Learning Implicit Causal World Models from Multi-Agent Demonstrations","created":"2026-07-28","cited_by_count":0,"area":"wm"},{"id":"2608.07809","title":"CausalNav: Reliability-Certified Causal World Models for Control under Physical-Parameter Shift","created":"2026-08-07","cited_by_count":0,"area":"wm"},{"id":"2608.13456","title":"A Unifying Perspective on Causal World Models: From Observations to Representations to Structure","created":"2026-08-13","cited_by_count":0,"area":"wm"},{"id":"2609.31161","title":"I Act Therefore I Am: When Is JEPA's Action-Conditioning Enough to Learn Causal Mechanisms?","created":"2026-09-25","cited_by_count":0,"area":"wm"}],"next_cursor":null}