Verifiable AI Reviewers: Decentralized Skill Matching and Soulbound Reputation for Multi-Agent Peer Review
The accelerating volume of scholarly submissions has intensified the reviewer-expertise mismatch problem. While large language model (LLM) agents are proposed as automated reviewers, their integration into decentralized systems remains blocked by the computational opacity of state-of-the-art (SOTA) semantic models. Thi...