// Agentic World Modeling //

Massive 40-author survey just dropped. Cleanest taxonomy of world models in agent research I've seen.

(bookmark it)

The paper proposes a "levels × laws" framework.

Three capability levels:

L1 Predictors do one-step transitions

L2 Simulators do multi-step action-conditioned rollouts

L3 Evolvers self-revise as the world changes

It discusses four law regimes, including physical, digital, social, scientific.

They synthesize 400+ works and 100+ representative systems spanning model-based RL, video generation, web/GUI agents, multi-agent simulation, and scientific discovery.

The framework also identifies failure modes and proposes evaluation principles for each level.

Why it matters: as agents shift from chatbots to goal-accomplishers, the bottleneck moves from language to environment. This is the first paper that gives builders a shared vocabulary for designing and evaluating world models across communities that have been working in isolation.

Paper: https://arxiv.org/abs/2604.22748

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