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    "story_id": "mp-2026-09-03-002",
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    "headline": "Ten Video Sources Became One Long-Horizon World",
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    "dek": "SolarWM unifies 1.43 million clips and adapts four 5B-to-33B video backbones behind shared training and inference interfaces.",
    "summary": "SolarWM unifies 1.43 million clips and adapts four 5B-to-33B video backbones behind shared training and inference interfaces.",
    "body_text": "SolarWM converts clips from ten datasets into a frame-aligned record carrying observations, metric camera geometry, captions, quality metadata, selection decisions and provenance. A backbone-native layer then applies one three-stage recipe across four models based on Wan2.2, LTX-2.5 and MiniMax-H3 without erasing their native representations. The authors say causal models trained on five-second sequences can support interactive rollouts from minutes to hours, and they are releasing the data, pipeline, recipes, weights and framework; those are preprint claims, not independent replication.",
    "why_it_matters": "SolarWM unifies 1.43 million clips and adapts four 5B-to-33B video backbones behind shared training and inference interfaces.",
    "limitations": [
      "The authors say causal models trained on five-second sequences can support interactive rollouts from minutes to hours, and they are releasing the data, pipeline, recipes, weights and framework; those are preprint claims, not independent replication."
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    "first_published_at": "2026-09-03T09:00:00.000-04:00",
    "modified_at": "2026-09-03T14:20:28.218-04:00",
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        "text": "SolarWM unifies 1.43 million clips and adapts four 5B-to-33B video backbones behind shared training and inference interfaces.",
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        "qualification": "The authors say causal models trained on five-second sequences can support interactive rollouts from minutes to hours, and they are releasing the data, pipeline, recipes, weights and framework; those are preprint claims, not independent replication."
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    "source_ids": [
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    "tags": [
      "video world models",
      "open data",
      "long-horizon generation"
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  "sources": [
    {
      "source_id": "source-2026-09-03-002",
      "title": "arXiv preprint 2609.02886",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.02886",
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      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-09-02T13:59:41.000-04:00",
      "accessed_at": "2026-09-03T14:20:28.218-04:00",
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    "name": "The Machine Press",
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  "cite_this_report": {
    "title": "Ten Video Sources Became One Long-Horizon World",
    "publisher": "The Machine Press",
    "published_at": "2026-09-03T09:00:00.000-04:00",
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