We study multi-source context fusion for signal classification from software-defined radio (SDR) streams. We exploreenriching SDR features with contemporaneous, public-domaintelemetry from astrophysical (e.g., observatory scheduling andenvironment), orbital (e.g., satellite attitude/visibility windows),and high-energy physics (e.g., collider run states) sources. Wepresent a time-aligned fusion architecture and an evaluationharness that reports AUROC/F1 alongside latency. On placeholdermetrics, fusion improves … Continue reading Multi-Source Context Fusion for SIGINT: Marrying SDR Streams with Astrophysical (JWST),Orbital (ISS),and HEP (LHC) Telemetry to Enrich Classification