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    "story_id": "mp-2026-09-09-012",
    "source_story_id": "tmp-story-physics-constrained-vehicle-platoons",
    "edition_id": "mp-2026-09-09-morning-0062",
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    "section": "infrastructure",
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    "headline": "The Car Forecast Stayed Accurate Without Amplifying the Shockwave",
    "slug": "the-car-forecast-stayed-accurate-without-amplifying-the-shockwave",
    "dek": "A platoon model added learned propagation delays and string-stability losses, keeping unstable windows to 0.65 percent on one five-car test.",
    "summary": "A platoon model added learned propagation delays and string-stability losses, keeping unstable windows to 0.65 percent on one five-car test.",
    "body_text": "SSP-DMGTimeNet predicts several vehicles together while penalizing disturbance amplification through a platoon. Its attention mechanism learns response delays between adjacent cars and accumulates them downstream; time- and frequency-domain losses target string stability for neighboring vehicles and longer sub-platoons. On the HighD ground-truth excitation subset, the reported five-vehicle unstable-window rate was 0.65 percent and maximum head-to-tail amplification was 0.898. Zero-shot tests on NGSIM US-101 and I-80 produced unstable-window rates of 3.90 and 4.10 percent. The figures are dataset results, not a road-safety validation.",
    "why_it_matters": "A platoon model added learned propagation delays and string-stability losses, keeping unstable windows to 0.65 percent on one five-car test.",
    "limitations": [
      "The figures are dataset results, not a road-safety validation."
    ],
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    "first_published_at": "2026-09-09T09:00:00.000-04:00",
    "modified_at": "2026-09-09T09:00:00.000-04:00",
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        "text": "A platoon model added learned propagation delays and string-stability losses, keeping unstable windows to 0.65 percent on one five-car test.",
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        "qualification": "The figures are dataset results, not a road-safety validation."
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    "tags": [
      "vehicle platoons",
      "trajectory prediction",
      "physics constraints"
    ],
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  "sources": [
    {
      "source_id": "source-2026-09-09-012",
      "title": "arXiv preprint 2609.06961",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.06961",
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      "published_at": "2026-09-06T22:59:56.000-04:00",
      "accessed_at": "2026-09-09T08:30:00.000-04:00",
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    "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 Car Forecast Stayed Accurate Without Amplifying the Shockwave",
    "publisher": "The Machine Press",
    "published_at": "2026-09-09T09:00:00.000-04:00",
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