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Interference, measured by task vector variance, predicts LLM merge collapse and guides repair, revealing that sign conflict statistics are anti-predictive.
Malicious skills can be persistently stored and activated in self-evolving agents, posing a serious threat to their operational integrity.
Answer-conditioning can undermine reasoning accuracy in LLMs, leading to a staggering 27-point drop on difficult tasks.
