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    "story_id": "mp-2026-09-17-011",
    "source_story_id": "tmp-story-rafail-relationship-failure-detection",
    "edition_id": "mp-2026-09-17-morning-0070",
    "edition_url": "https://themachinepress.com/edition/2026-09-17",
    "position": 11,
    "story_type": "dispatch",
    "section": "robotics",
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    "headline": "Failure Detection Watched Relationships, Not Whole Scenes",
    "slug": "failure-detection-watched-relationships-not-whole-scenes",
    "dek": "RAFAIL reached 73.4% balanced accuracy across three real-world manipulation tasks without failure training data.",
    "summary": "RAFAIL reached 73.4% balanced accuracy across three real-world manipulation tasks without failure training data.",
    "body_text": "Whole-scene anomaly detectors can react to harmless visual changes, while runtime vision-language models add computation. RAFAIL learns representations of task-relevant relationships—such as gripper to object or object to target—from successful demonstrations annotated offline. At runtime, relationship-specific out-of-distribution detectors run without VLM inference or failure examples. Across three real-world manipulation tasks, the method reached 73.4% balanced accuracy and outperformed the strongest evaluated uncertainty and OOD baselines. The result supports narrowing failure detection to the geometry that matters for task progress.",
    "why_it_matters": "RAFAIL reached 73.4% balanced accuracy across three real-world manipulation tasks without failure training data.",
    "limitations": [],
    "importance": 7,
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    "first_published_at": "2026-09-17T09:00:00.000-04:00",
    "modified_at": "2026-09-17T09:00:00.000-04:00",
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    "tags": [
      "failure detection",
      "robot manipulation",
      "out-of-distribution"
    ],
    "image_url": null,
    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-09-17-011",
      "title": "arXiv preprint 2609.18324",
      "publisher": "arXiv",
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      "published_at": "2026-09-16T04:46:02.000-04:00",
      "accessed_at": "2026-09-17T08:28:34.205-04:00",
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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": "Failure Detection Watched Relationships, Not Whole Scenes",
    "publisher": "The Machine Press",
    "published_at": "2026-09-17T09:00:00.000-04:00",
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