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October 20, 2025Open Access

Four Principles for Physically Interpretable World Models

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Authors

JPJordan PeperZMZhenjiang MaoYGYuang Geng

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Overview

Proposing four principles for creating world models with improved interpretability and scalability.

Key Points

  • Adopting physically interpretable world models enhances trust in autonomous systems operating in uncertain environments.
  • The proposed principles focus on mapping latent representations to physical quantities, boosting interpretability and usability.
  • Integrating diverse supervision techniques into the training process aids in learning more reliable and scalable models.
  • Experimental validation on benchmarks confirms that following these principles can greatly improve physical interpretability.

Cite This Study

Peper et al. (2025) studied this question.

synapsesocial.com/papers/68f64fbb2509bc8625bfb16fhttps://doi.org/10.48550/arxiv.2503.02143
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