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  "story": {
    "story_id": "mp-2026-11-06-008",
    "source_story_id": "tmp-story-vla-tug",
    "edition_id": "mp-2026-11-06-morning-0119",
    "edition_url": "https://themachinepress.com/edition/2026-11-06",
    "position": 8,
    "story_type": "dispatch",
    "section": "robotics",
    "editorial_classification": "editorial",
    "headline": "The Robot Monitor Warns Before the Failure",
    "slug": "the-robot-monitor-warns-before-the-failure",
    "dek": "VLA-Tug probes latent layers for calibrated early failure detection and classifies the likely failure mode with little overhead.",
    "summary": "VLA-Tug probes latent layers for calibrated early failure detection and classifies the likely failure mode with little overhead.",
    "body_text": "Training on the pre-failure segment improves early detection by as much as 30 percent at matched false-positive rates over the strongest learned baseline. Under unseen-task shift, missed-detection and false-alarm bounds remain valid in up to 86 percent of runs, versus at most 21 percent for baselines. Top-three failure-mode accuracy rises by up to 44 percent over a majority baseline, and the authors release 3,180 annotated manipulation episodes. These are benchmarked monitoring results, not a safety certification.",
    "why_it_matters": "VLA-Tug probes latent layers for calibrated early failure detection and classifies the likely failure mode with little overhead.",
    "limitations": [
      "Under unseen-task shift, missed-detection and false-alarm bounds remain valid in up to 86 percent of runs, versus at most 21 percent for baselines.",
      "These are benchmarked monitoring results, not a safety certification."
    ],
    "importance": 9,
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    "first_published_at": "2026-11-06T09:00:00.000-05:00",
    "modified_at": "2026-11-06T09:00:00.000-05:00",
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        "text": "VLA-Tug probes latent layers for calibrated early failure detection and classifies the likely failure mode with little overhead.",
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        "qualification": "Under unseen-task shift, missed-detection and false-alarm bounds remain valid in up to 86 percent of runs, versus at most 21 percent for baselines."
      }
    ],
    "source_ids": [
      "source-2026-11-06-008"
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    "tags": [
      "runtime monitoring",
      "robot safety",
      "calibration"
    ],
    "image_url": "https://themachinepress.com/issues/2026-11-06/vla-tug-robot-monitor.webp",
    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-11-06-008",
      "title": "arXiv preprint 2611.08425, original v1",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2611.08425v1",
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      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-11-05T13:21:07.000-05:00",
      "accessed_at": "2026-11-06T08:21:03.209-05:00",
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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": "The Robot Monitor Warns Before the Failure",
    "publisher": "The Machine Press",
    "published_at": "2026-11-06T09:00:00.000-05:00",
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