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    "headline": "The Compressed Model Never Needed Its Source Code",
    "slug": "the-compressed-model-never-needed-its-source-code",
    "dek": "H3DNAS searches and rewrites ONNX graphs directly for edge deployment of 3D point-cloud networks.",
    "summary": "H3DNAS searches and rewrites ONNX graphs directly for edge deployment of 3D point-cloud networks.",
    "body_text": "A channel-dependency graph classifies ONNX operators and computes a topology-defined ceiling on how much of a model can be pruned. A two-stage search then selects channels by importance, ranks candidates by output fidelity without labels and mutates Pareto candidates with GhostConv. On ModelNet40, the paper reports parameter reductions of 43.2% to 65.5% and Jetson Orin Nano speedups of 1.29× to 1.99× across three architectures with negligible accuracy loss under its evaluation.",
    "why_it_matters": "H3DNAS searches and rewrites ONNX graphs directly for edge deployment of 3D point-cloud networks.",
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    "importance": 8,
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    "tags": [
      "ONNX",
      "edge inference",
      "point clouds"
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      "source_id": "source-2026-09-03-007",
      "title": "arXiv preprint 2609.02684",
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      "published_at": "2026-09-02T10:53:35.000-04:00",
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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": "The Compressed Model Never Needed Its Source Code",
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