AI RESEARCH
PLUME: Building a Network-Native Foundation Model for Wireless Traces via Protocol-Aware Tokenization
arXiv CS.LG
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ArXi:2603.13647v1 Announce Type: new Foundation models succeed when they learn in the native structure of a modality, whether morphology-respecting tokens in language or pixels in vision. Wireless packet traces deserve the same treatment: meaning emerges from layered headers, typed fields, timing gaps, and cross-packet state machines, not flat strings. We present Plume (Protocol Language Understanding Model for Exchanges), a compact 140M-parameter foundation model for 802.11 traces that learns from structured PDML dissections.