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MA-VLA enables multi-arm systems to generalize to unseen collaboration patterns, outperforming prior models that struggle with such tasks.
Layer-wise analysis reveals that replay-induced representation drift and optimization dependence are key to understanding catastrophic forgetting in continual learning.
