Σ-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems

Σ-Mem implements an online reliability memory for multi-agent systems by tracking peer competence and relationship evidence as real symmetric states. These states update via post-decision feedback, using Weyl's inequality to bound spectral changes and ensure stable adaptation without model retraining.