Reliable Wireless Indoor Localization via Cross-Validated Prediction-Powered Calibration

ArXi:2507.20268v3 Announce Type: replace Wireless indoor localization using predictive models with received signal strength information (RSSI) requires proper calibration for reliable position estimates. One remedy is to employ synthetic labels produced by a (generally different) predictive model. But fine-tuning an additional predictor, as well as estimating residual bias of the synthetic labels, demands additional data, aggravating calibration data scarcity in wireless environments.