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    "story_id": "mp-2026-11-01-008",
    "source_story_id": "tmp-story-l3g-world-memory",
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    "position": 8,
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    "headline": "The Generated World Remembers Places, Not Frames",
    "slug": "the-generated-world-remembers-places-not-frames",
    "dek": "A latent 3D Gaussian memory grew with explored scene extent and rendered into a video model at a reported 9 frames per second.",
    "summary": "A latent 3D Gaussian memory grew with explored scene extent and rendered into a video model at a reported 9 frames per second.",
    "body_text": "Long interactive video streams make temporal memory grow without bound. L3G-World instead stores a compact 3D Gaussian scene memory, adding geometry when a new region appears and refining what it already knows. Each Gaussian carries a latent feature that can feed the diffusion transformer without re-encoding an RGB render. Against the paper's most efficient prior 3D-memory baselines for each metric, the method used up to 38.6 times fewer primitives, updated memory 3.2 times faster and rendered it 359 times faster, enabling reported generation at 9 frames per second. These are benchmarked generation results, not proof of physical simulation accuracy.",
    "why_it_matters": "A latent 3D Gaussian memory grew with explored scene extent and rendered into a video model at a reported 9 frames per second.",
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      "These are benchmarked generation results, not proof of physical simulation accuracy."
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    "first_published_at": "2026-11-01T09:00:00.000-05:00",
    "modified_at": "2026-11-01T09:00:00.000-05:00",
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        "qualification": "These are benchmarked generation results, not proof of physical simulation accuracy."
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    "tags": [
      "world generation",
      "3D memory",
      "video diffusion",
      "real time"
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  "sources": [
    {
      "source_id": "source-2026-11-01-008",
      "title": "arXiv preprint 2610.40614, original v1",
      "publisher": "arXiv",
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      "published_at": "2026-10-28T20:00:00.000-04:00",
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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 Generated World Remembers Places, Not Frames",
    "publisher": "The Machine Press",
    "published_at": "2026-11-01T09:00:00.000-05:00",
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