Validate the Dream Before You Trust Its Verdict: Admissibility for World-Model Simulators
Across robotics, World Models (WMs) are increasingly used to evaluate action policies by simulating the consequences of actions in an imagined world, and returning a success or safety verdict. Yet a verdict is only as trustworthy as the WM that produced it, and the WM itself needs to be certified. In video-generation WMs, fidelity metrics such as Fréchet Video Distance (FVD) reward visual realism, but ignore whether the world responds correctly to the policy's actions, including those unseen in training. Classical simulation-based validation assumes a trusted simulator evaluating an untrusted policy, whereas generative WMs are themselves unverified learned artifacts. Hence, we argue that ...
| Authors | Christian Oefinger, Finn Rasmus Schäfer, Korbinian Moller et al. |
|---|---|
| Primary category | cs.RO |
| Published | 8 July 2026 |
| Last updated at source | 8 July 2026 |
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