{
  "id": 5393,
  "url": "https://arxiv.org/abs/2604.22748v3",
  "title": "Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond",
  "summary": "As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment dynamics becomes a central bottleneck. Agents that manipulate objects, navigate software, coordinate with others, or design experiments require predictive environment models, yet the term world model carries different meanings across research communities. We introduce a \"levels x laws\" taxonomy organized along two axes. The first defines three capability levels: L1 Predi",
  "authors": "Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin, Lingdong Kong, Jize Zhang, Teng Tu et al.",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-24T17:48:47.000Z",
  "fetched_at": "2026-07-14T16:31:44.623Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5393",
  "original_url": "https://arxiv.org/abs/2604.22748v3",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}