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Latent space positions in standard autoencoders correlate almost randomly with actual droplet morphology (ARI = 0.06), but regularizing against an elastic shape-metric graph forces meaningful geometric clustering (ARI = 0.78) and direct mapping from physical actuation parameters to interface contours.