{"total":20,"rows":[{"id":"2510.16732","title":"A Comprehensive Survey on World Models for Embodied AI","created":"2025-10-19","cited_by_count":68,"area":"wm"},{"id":"2506.22355","title":"Embodied AI Agents: Modeling the World","created":"2025-06-27","cited_by_count":61,"area":"wm"},{"id":"2507.19468","title":"Back to the Features: DINO as a Foundation for Video World Models","created":"2025-07-25","cited_by_count":58,"area":"wm"},{"id":"2601.05230","title":"Learning Latent Action World Models In The Wild","created":"2026-01-08","cited_by_count":47,"area":"wm"},{"id":"2502.10498","title":"The Role of World Models in Shaping Autonomous Driving: A Comprehensive Survey","created":"2025-02-14","cited_by_count":29,"area":"wm"},{"id":"2512.01550","title":"NavForesee: A Unified Vision-Language World Model for Hierarchical Planning and Dual-Horizon Navigation Prediction","created":"2025-12-01","cited_by_count":16,"area":"wm"},{"id":"2603.12655","title":"VGGT-World: Transforming VGGT into an Autoregressive Geometry World Model","created":"2026-03-13","cited_by_count":13,"area":"wm"},{"id":"2512.09929","title":"Closing the Train-Test Gap in World Models for Gradient-Based Planning","created":"2025-12-10","cited_by_count":11,"area":"wm"},{"id":"2603.26741","title":"Language-Conditioned World Modeling for Visual Navigation","created":"2026-03-23","cited_by_count":10,"area":"wm"},{"id":"2604.04913","title":"A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens","created":"2026-04-06","cited_by_count":10,"area":"wm"},{"id":"2509.21797","title":"MoWM: Mixture-of-World-Models for Embodied Planning via Latent-to-Pixel Feature Modulation","created":"2025-09-26","cited_by_count":5,"area":"wm"},{"id":"2512.11225","title":"VFMF: World Modeling by Forecasting Vision Foundation Model Features","created":"2025-12-12","cited_by_count":5,"area":"wm"},{"id":"2510.04978","title":"Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI","created":"2025-10-06","cited_by_count":3,"area":"wm"},{"id":"2606.27364","title":"PhysiFormer: Learning to Simulate Mechanics in World Space","created":"2026-06-25","cited_by_count":2,"area":"wm"},{"id":"2606.18250","title":"Future Dynamic 3D Reconstruction: Toward 3D World Modeling with Disentangled Ego-Motion","created":"2026-06-16","cited_by_count":1,"area":"wm"},{"id":"2605.01896","title":"Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models","created":"2026-05-03","cited_by_count":0,"area":"wm"},{"id":"2608.02428","title":"DF$^3$: World Modeling via Decoder-Free Feature Forecasting in Autonomous Navigation","created":"2026-08-03","cited_by_count":0,"area":"wm"},{"id":"2609.33844","title":"ViBR-WM: Visual Bayesian Regression for World Modeling","created":"2026-09-27","cited_by_count":0,"area":"wm"},{"id":"2610.00575","title":"Token-World: World Modeling in Vision-Language Model Token Space for Robot Manipulation","created":"2026-09-30","cited_by_count":0,"area":"wm"},{"id":"2610.01942","title":"Latent-Foresight: End-to-End Learning Predictable Representations for Latent World Models","created":"2026-10-01","cited_by_count":0,"area":"wm"}],"next_cursor":null}