Code World Model: Coding Agent as World Brain

arXiv:2608.25927 · cs.CV, cs.AI, cs.CL · Submitted 2026-08-26 · Read on arXiv

cs.CV, cs.AI, cs.CL

Submitted: 2026-08-26

Updated: 2026-08-26

Comments: Project Page: https://buaacyw.github.io/cwm/

Project page: https://buaacyw.github.io/cwm

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• World Model — 78× in this paper · explained in 7 episodes
• Fidelity — 14× in this paper · explained in 2 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Actor — 5× in this paper · explained in 3 episodes
• Grounding — 5× in this paper · explained in 3 episodes
• Diffusion Model — 4× in this paper · explained in 8 episodes
• Diffusion Models — 4× in this paper · explained in 6 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Action Space — 1× in this paper · explained in 1 episode
• Agentic Coding — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Aperture — 1× in this paper · explained in 1 episode
• Foundation Model — 1× in this paper · explained in 3 episodes
• Latent Dynamics — 1× in this paper · explained in 2 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• World Models
• Mastering Diverse Domains through World Models
• GAIA-1: A Generative World Model for Autonomous Driving
• Learning Interactive Real-World Simulators
• DreamGen: Unlocking Generalization in Robot Learning through Video World Models
• World-Gymnast: Training Robots with Reinforcement Learning in a World Model
• Pandora: Towards General World Model with Natural Language Actions and Video States
• Pre-Trained Video Generative Models as World Simulators
• Hunyuan-GameCraft: High-dynamic Interactive Game Video Generation with Hybrid History Condition
• Matrix-Game: Interactive World Foundation Model
• PAN: A World Model for General, Actionable, and Long-Horizon World Simulation
• DreamX-World 1.0: A General-Purpose Interactive World Model
• Infinite Worlds with Versatile Interactions
• WorldMem: Long-term Consistent World Simulation with Memory
• WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling
• RELIC: Interactive Video World Model with Long-Horizon Memory
• Advancing Open-source World Models
• Matrix-Game 3.0: Real-Time and Streaming Interactive World Model with Long-Horizon Memory
• Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrieval
• VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory

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