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    "story_id": "mp-2026-08-14-005",
    "source_story_id": "tmp-story-inclusive-prosthetic-pose",
    "edition_id": "mp-2026-08-14-morning-0036",
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    "headline": "The Pose Model Stopped Inventing Missing Joints",
    "slug": "the-pose-model-stopped-inventing-missing-joints",
    "dek": "A unified annotation scheme and structure-aware loss represented intact limbs, residual limbs and varied prostheses without forcing one anatomy onto all bodies.",
    "summary": "A unified annotation scheme and structure-aware loss represented intact limbs, residual limbs and varied prostheses without forcing one anatomy onto all bodies.",
    "body_text": "ProPose addresses a benchmark bias toward able-bodied subjects by giving biological limbs, mechanical prostheses and physical absences one topological representation. A real-to-synthetic expansion pipeline adds scarce prosthetic cases, while ProLoss enforces dependencies within each limb so independent keypoint predictions do not hallucinate joints on mechanical structures. Reported classification accuracy for long-tail prosthetic joints improves by two to six percentage points without reducing coordinate localization. The work is a pose-estimation benchmark and model objective, not a clinical assessment system.",
    "why_it_matters": "A unified annotation scheme and structure-aware loss represented intact limbs, residual limbs and varied prostheses without forcing one anatomy onto all bodies.",
    "limitations": [
      "A real-to-synthetic expansion pipeline adds scarce prosthetic cases, while ProLoss enforces dependencies within each limb so independent keypoint predictions do not hallucinate joints on mechanical structures.",
      "The work is a pose-estimation benchmark and model objective, not a clinical assessment system."
    ],
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    "first_published_at": "2026-08-14T09:00:00.000-04:00",
    "modified_at": "2026-08-14T09:00:00.000-04:00",
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        "text": "A unified annotation scheme and structure-aware loss represented intact limbs, residual limbs and varied prostheses without forcing one anatomy onto all bodies.",
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        "qualification": "A real-to-synthetic expansion pipeline adds scarce prosthetic cases, while ProLoss enforces dependencies within each limb so independent keypoint predictions do not hallucinate joints on mechanical structures."
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    ],
    "source_ids": [
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    "tags": [
      "computer vision",
      "prosthetics",
      "inclusive datasets",
      "pose estimation"
    ],
    "image_url": null,
    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-08-14-005",
      "title": "arXiv preprint 2608.13047",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2608.13047",
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      "source_type": "primary_research",
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      "published_at": "2026-08-13T06:11:51.000-04:00",
      "accessed_at": "2026-08-14T08:27:00.000-04:00",
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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": "The Pose Model Stopped Inventing Missing Joints",
    "publisher": "The Machine Press",
    "published_at": "2026-08-14T09:00:00.000-04:00",
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