Deliberative Curation: A Protocol for Multi-Agent Knowledge Bases

This paper proposes a deliberative curation protocol for governing collective knowledge in multi-agent AI ecosystems, addressing challenges like agent statelessness and model homogeneity. It combines a knowledge artifact lifecycle, reputation-weighted deliberative voting, and graduated sanctions adapted for stateless agents.