Researchers study the dynamics of long-horizon LLM agents, analyzing their behavior through three perspectives: self-organized criticality, weak chaos, and metastable belief dynamics. They investigate how these agents maintain task state across extended sequences and find that locally valid actions can persist despite global state fidelity failure, and stress can trigger abrupt collapse. This research contributes to a science of agent world models based on trajectory-level dynamical diagnostics.