AI RESEARCH
Calibrating Attribution Proxies for Reward Allocation in Participatory Weather Sensing
arXiv CS.LG
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ArXi:2604.27944v1 Announce Type: new Large-scale IoT weather sensing networks require incentive mechanisms to sustain participation, yet determining how much value individual data contributions bring to the network remains an open problem. Existing approaches address data quality but not data valuation; in operational meteorology, adjoint-based methods derive value from the forecast model itself but require full data assimilation infrastructure.