AI RESEARCH

netFound: Principled Design for Network Foundation Models

arXiv CS.AI

ArXi:2310.17025v5 Announce Type: replace-cross Network foundation models promise reusable representations for diverse traffic analysis tasks, but recent diagnostic works have revealed fundamental problems: models exploit dataset shortcuts rather than learning genuine traffic patterns, produce collapsed embedding spaces, and fail to capture the exogenous network conditions that shape real-world behavior.