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Malicious skills can be persistently stored and activated in self-evolving agents, posing a serious threat to their operational integrity.
Achieving a mean absolute error of just $7 \times 10^{-3}$, this neural operator revolutionizes how we simulate EUV lithography by drastically cutting computational costs and enhancing accuracy.
