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LLM agents abandon their own declared plans up to 78% of the time, but enforcing faithful execution via pattern-specific scaffolding nearly doubles benchmark success rates.
Blockchain's consensus mechanism can be repurposed as an active defense layer in federated learning, significantly improving robustness against adversarial attacks without compromising privacy.
