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    "headline": "The Neural Operator Got a Coverage Band",
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    "dek": "A split-conformal method wraps predicted function fields with finite-sample spatial coverage guarantees.",
    "summary": "A split-conformal method wraps predicted function fields with finite-sample spatial coverage guarantees.",
    "body_text": "The method reduces a normalized residual field to a spatial quantile, then calibrates a scaling factor on held-out data. The authors prove that the resulting band contains the true solution on at least a specified fraction of the domain with a target probability, covering continuous domains and fixed discretizations. Darcy-flow and Navier-Stokes experiments produced tighter bands than existing corrections while retaining target coverage under the study's assumptions.",
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    "tags": [
      "neural operators",
      "conformal prediction",
      "uncertainty"
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      "title": "arXiv preprint 2608.28515",
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      "published_at": "2026-08-28T12:50:57.000-04:00",
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