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Black-box optimizers routinely discard the situational context of their failures, but framing past search trajectories as structured episodic memory allows algorithms to dynamically adapt their operators using negative evidence rather than just chasing historical winners.
Achieving a median point-to-mesh distance of just 2.13 mm, the DARP dataset sets a new standard for geometric consistency in multi-view robotic perception.
Adaptive Hebbian Routing boosts few-shot learning accuracy to 96.94% while cutting inference time by nearly 15%.
