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    "story_id": "mp-2026-10-02-014",
    "source_story_id": "tmp-story-hydrojev-water-triage",
    "edition_id": "mp-2026-10-02-morning-0085",
    "edition_url": "https://themachinepress.com/edition/2026-10-02",
    "position": 14,
    "story_type": "dispatch",
    "section": "safety-security",
    "editorial_classification": "editorial",
    "headline": "One-Second Screening Cut a Third of Water Alerts",
    "slug": "one-second-screening-cut-a-third-of-water-alerts",
    "dek": "A training-free first tier preserved reviewer accuracy while reducing LLM review load by 35 to 38 percent.",
    "summary": "A training-free first tier preserved reviewer accuracy while reducing LLM review load by 35 to 38 percent.",
    "body_text": "HydroJEV tested a fast probabilistic screen for distinguishing cyberattacks, physical faults, transients and faulty sensors in simulated water networks. Across four sealed rounds, the training-free model matched a rule tree in distribution and beat a supervised classifier on unseen event subtypes. Passing only benign verdicts confirmed by the rule tree spared an LLM reviewer 35 to 38 percent of windows without macro-F1 loss, and transfer tests stayed within a declared non-inferiority margin. Results come from benchmark networks, not live utility operations.",
    "why_it_matters": "A training-free first tier preserved reviewer accuracy while reducing LLM review load by 35 to 38 percent.",
    "limitations": [
      "Passing only benign verdicts confirmed by the rule tree spared an LLM reviewer 35 to 38 percent of windows without macro-F1 loss, and transfer tests stayed within a declared non-inferiority margin.",
      "Results come from benchmark networks, not live utility operations."
    ],
    "importance": 8,
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    "first_published_at": "2026-10-02T09:00:00.000-04:00",
    "modified_at": "2026-10-02T09:00:00.000-04:00",
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        "text": "A training-free first tier preserved reviewer accuracy while reducing LLM review load by 35 to 38 percent.",
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        "qualification": "Passing only benign verdicts confirmed by the rule tree spared an LLM reviewer 35 to 38 percent of windows without macro-F1 loss, and transfer tests stayed within a declared non-inferiority margin."
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    "source_ids": [
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    "tags": [
      "water infrastructure",
      "cybersecurity",
      "triage"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-10-02-014",
      "title": "arXiv preprint 2610.02048",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2610.02048",
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      "source_type": "primary_research",
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      "published_at": "2026-10-01T12:57:33.000-04:00",
      "accessed_at": "2026-10-02T08:44:06.000-04:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "One-Second Screening Cut a Third of Water Alerts",
    "publisher": "The Machine Press",
    "published_at": "2026-10-02T09:00:00.000-04:00",
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