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An attack space for MEV on DAG-based BFT protocols is presented, organized around four families: the adversary, the protocol, the target, and the deployment, and it is revealed that every protocol evaluated is vulnerable to at least a subset of the MEV attacks in this space.
Repeated sampling outperforms self-reflection methods in language models, revealing a critical flaw in approaches that rely on self-critique and rewriting.
Lower-indexed validators in the Mysticeti protocol win same-round transaction ordering 89% of the time, revealing a critical flaw in the fairness assumption of decentralized consensus.