Prompted Identity Degrades Cooperation in Multi-Agent LLM Systems
DGX agentarXiv:2609.35928v1 Announce Type: cross Abstract: Multi-agent LLM systems increasingly mix models from several providers, yet exposing each agent's underlying model identity to its peers significantly