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    "headline": "Pruning Kept Its Coverage Promise and Shrunk the Answer Set",
    "slug": "pruning-kept-its-coverage-promise-and-shrunk-the-answer-set",
    "dek": "Calibration-Preserving Pruning treats compression as an efficiency problem after split conformal prediction fixes the reliability contract.",
    "summary": "Calibration-Preserving Pruning treats compression as an efficiency problem after split conformal prediction fixes the reliability contract.",
    "body_text": "At 50 percent sparsity on DBpedia-14, CPP-SparseGPT reduced mean prediction-set size from 10.1 to 8.6 while accuracy moved from 0.347 to 0.366. It produced smaller sets in 13 of 15 dataset-sparsity cells, but matched controls showed generic supervised gradients explain much of the gain; the claims remain limited to reliability-sensitive classification.",
    "why_it_matters": "Calibration-Preserving Pruning treats compression as an efficiency problem after split conformal prediction fixes the reliability contract.",
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      "It produced smaller sets in 13 of 15 dataset-sparsity cells, but matched controls showed generic supervised gradients explain much of the gain; the claims remain limited to reliability-sensitive classification."
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        "qualification": "It produced smaller sets in 13 of 15 dataset-sparsity cells, but matched controls showed generic supervised gradients explain much of the gain; the claims remain limited to reliability-sensitive classification."
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    "tags": [
      "model compression",
      "conformal prediction",
      "calibration"
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      "source_id": "source-2026-08-26-003",
      "title": "arXiv preprint 2608.23744",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2608.23744",
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      "published_at": "2026-08-24T14:31:01.000-04:00",
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    "name": "The Machine Press",
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    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "Pruning Kept Its Coverage Promise and Shrunk the Answer Set",
    "publisher": "The Machine Press",
    "published_at": "2026-08-26T09:00:00.000-04:00",
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