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Satellite foundation models already encode the latent physical signals needed to map ground-level urban livability, bypassing the need for costly ground surveys in data-scarce regions.
Treating natural state trajectories as self-supervised "actions" turns static scientific emulators into interactive, counterfactual world models without requiring manually labeled intervention data.
