Network Topology Does Not Matter: The Breakdown of Classical Consensus in LLM Populations
As multi-agent language model networks become widely deployed, predicting their collective behavior is a critical challenge. Classical distributed consensus theory relies on network topology to predict convergence, structurally assuming that agent updates are convex combinations, population means are conserved, and wei...