arXiv: cs.AI preprintsInternational5 November 2026
CARM: Conformal Adaptive Risk Masking for Reliable Scientific Super-Resolution
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arXiv:2611.06151v1 Announce Type: new Abstract: Deep learning-based super-resolution (SR) can reconstruct fine-scale Earth-observation fields from coarse observations, but reconstruction accuracy alone does not provide a calibrated rule for identifying reliable spatial regions. Conformal Mask Calibration (CMC), built on conformal risk control, converts a spatial uncertainty score into a trust mask and controls the expected worst-case local distortion under exchangeability. However, its fixed threshold can become miscalibrated in Earth-observation streams affected by seasonality and episodic ev
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