Paper 2606.27382v1 introduces a conceptual framework for an AI-Model Network to facilitate collaboration between heterogeneous models. The authors argue that high training costs are forcing a shift toward lightweight, domain-specific systems. This architecture aims to solve the bottleneck of model interaction. It provides a theoretical blueprint for decentralized AI coordination.