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Simulating professional organizations with persistent context and delegation unlocks emergent agent capabilities, outperforming single- and multi-agent baselines on complex professional tasks.
Losing a single camera feed derails state-of-the-art VLA models, but pairing action-conditioned world model extrapolation with selective view withdrawal keeps closed-loop manipulation intact during sensor failures.