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    "story_id": "mp-2026-09-30-011",
    "source_story_id": "tmp-story-powersim-differentiable-dynamics",
    "edition_id": "mp-2026-09-30-morning-0083",
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    "headline": "A 3D Scene Learned to Deform and Render at Once",
    "slug": "a-3d-scene-learned-to-deform-and-render-at-once",
    "dek": "PowerSim coupled power-diagram primitives directly to material-point dynamics without a second scene representation.",
    "summary": "PowerSim coupled power-diagram primitives directly to material-point dynamics without a second scene representation.",
    "body_text": "PowerSim maps the geometry and appearance of a pretrained PowerFoam scene onto quantities already tracked by a Material Point Method simulation. That direct coupling lets deformation update both scene shape and rendering. The authors demonstrate user-driven dynamics, recovery of spatially varying materials, simulation-ready composition of independently captured primitives and reflections that change with deformation. They report stronger physically grounded dynamics than compared frameworks. The claims come from the submitted evaluation and project demonstrations, not a guarantee for arbitrary captured scenes or materials.",
    "why_it_matters": "PowerSim coupled power-diagram primitives directly to material-point dynamics without a second scene representation.",
    "limitations": [
      "The claims come from the submitted evaluation and project demonstrations, not a guarantee for arbitrary captured scenes or materials."
    ],
    "importance": 8,
    "canonical_url": "https://themachinepress.com/story/mp-2026-09-30-011/a-3d-scene-learned-to-deform-and-render-at-once",
    "json_url": "https://themachinepress.com/story/mp-2026-09-30-011.json",
    "first_published_at": "2026-09-30T09:00:00.000-04:00",
    "modified_at": "2026-09-30T09:02:00.000-04:00",
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        "text": "PowerSim coupled power-diagram primitives directly to material-point dynamics without a second scene representation.",
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        "qualification": "The claims come from the submitted evaluation and project demonstrations, not a guarantee for arbitrary captured scenes or materials."
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    "source_ids": [
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    "tags": [
      "differentiable simulation",
      "3D rendering",
      "material point method"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-09-30-011",
      "title": "arXiv preprint 2609.38153",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.38153",
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      "source_type": "primary_research",
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      "published_at": "2026-09-29T13:58:37.000-04:00",
      "accessed_at": "2026-09-30T08:24:00.000-04:00",
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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": "A 3D Scene Learned to Deform and Render at Once",
    "publisher": "The Machine Press",
    "published_at": "2026-09-30T09:00:00.000-04:00",
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