WorldAgent: Verification-Guided Agentic Physical World Construction

arXiv:2609.33208 · cs.AI, cs.CV · Submitted 2026-09-27 · Read on arXiv

cs.AI, cs.CV

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/ahujasid/mcp-for-blender

Terminology

• Verification — 53× in this paper · explained in 2 episodes
• Alignment — 9× in this paper · explained in 1 episode
• Benchmark — 7× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Consistency — 5× in this paper · explained in 3 episodes
• AI Agents — 4× in this paper · explained in 2 episodes
• Ablation Studies — 4× in this paper · explained in 1 episode
• Agentic Framework — 3× in this paper · explained in 6 episodes
• Embodied AI — 3× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• World Model — 2× in this paper · explained in 7 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Affordance — 1× in this paper · explained in 1 episode
• Agent Skills — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes

Sources

• PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects
• Agentic Real2Sim: Physics-based World Modeling with Vision-Language Agents
• WorldClaw: Agentic 3D Open-World Generation at Scale
• SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning
• Agentic Scientific Simulation: Execution-Grounded Model Construction and Reconstruction
• SimWorlds: A Multi-Agent System for Dynamic 3D Scene Creation
• PhysAgent: Automating Physics-Based 4D Synthesis via Trajectory-Grounded Multi-Agent Feedback
• LychSim: A Controllable and Interactive Simulation Framework for Vision Research
• Cosmos World Foundation Model Platform for Physical AI
• SimFoundry: Modular and Automated Scene Generation for Policy Learning and Evaluation
• Wan: Open and Advanced Large-Scale Video Generative Models
• Coding Agent Is Good As World Simulator
• EmbodiedGen V2: An Agentic, Simulation-Ready 3D World Engine for Embodied AI
• GS-Agent: Creating 4D Physical Worlds With Generative Simulation
• VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

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