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LEGIT is a credentialing protocol for trustworthy AI agent marketplaces that connects certification, reputation, and marketplace allocation to enable verifiable quality assessment of AI agents.
This paper introduces a framework using reinforcement learning from verifiable rewards to train large language models for strategic bargaining in multi-buyer markets, addressing private information and surplus extraction in concurrent negotiations.