Self-Assessment in Multi-Agent LLM Systems: Trace Analysis of Dynamics

We present empirical findings on confidence propagation in chained large language model architectures. Key contributions: (1) The trace ratio hypothesis quantifying reasoning improvement as path length ratio minus unity, (2) Concept contagion matrices modeling inter-model knowledge transfer, (3) Documentation of semantic attractor escape phenomena where agents deviate from training distributions.