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Straightening latent space trajectories with a simple curvature regularizer dramatically improves the stability and success of gradient-based planning in world models.
Imperfect code from LLMs can still teach AI to understand circuit structure, unlocking a scalable path to netlist representation learning without expensive, clean datasets.