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CRANE achieves a remarkable 96.9% Grounded Success in knowledge editing for reasoning MLLMs, overcoming traditional failure modes that plague existing methods.
Breaking the volumetric barrier in manifold reconstruction unlocks asymptotically optimal recovery of latent geometry from noisy distance data.
