On the Reliability of Networks of AI Agents: Density Evolution, Stopping Sets, and Architecture Optimization

Modern AI systems increasingly solve a task not with a single model call but with several imperfect agents working together: some propose pieces of a solution, others verify them, and the results are combined. These systems often outperform any single model, yet it is rarely clear why they succeed o...