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LLM agents in decentralized marketplaces are demonstrably exploitable, with adversarial prompting enabling over 50% fraudulent transaction completion and doubling agent profits.
Decoupling topological and textual prototypes in TAG anomaly detection eliminates the noise amplification that obscures subtle anomalous signals.
CRAFT reduces traffic collisions and violations by over 30% by aligning local observations with global context in traffic simulations.