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    "story_id": "mp-2026-10-13-019",
    "source_story_id": "tmp-brief-deep-space-rl-relay-management",
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    "position": 21,
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    "section": "infrastructure",
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    "headline": "The Space Relay Learns What Can Wait",
    "slug": "the-space-relay-learns-what-can-wait",
    "dek": "A simulation allocates scarce communication windows by mission value.",
    "summary": "A simulation allocates scarce communication windows by mission value.",
    "body_text": "A reinforcement-learning study jointly schedules, drops and controls data bundles in a simulated lunar-and-Martian relay network. Its decisions account for freshness, contact windows and fairness. The authors report utility gains over baseline schedulers in DTNSim; the work does not report an operational space deployment.",
    "why_it_matters": "A simulation allocates scarce communication windows by mission value.",
    "limitations": [
      "The authors report utility gains over baseline schedulers in DTNSim; the work does not report an operational space deployment."
    ],
    "importance": 5,
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    "first_published_at": "2026-10-13T09:00:00.000-04:00",
    "modified_at": "2026-10-13T09:43:56.853-04:00",
    "content_status": "updated",
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    "carryover_reason": null,
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        "claim_id": "claim-mp-2026-10-13-019-001",
        "text": "A simulation allocates scarce communication windows by mission value.",
        "source_ids": [
          "source-2026-10-13-021"
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        "qualification": "The authors report utility gains over baseline schedulers in DTNSim; the work does not report an operational space deployment."
      }
    ],
    "source_ids": [
      "source-2026-10-13-021"
    ],
    "tags": [
      "deep-space communications",
      "reinforcement learning",
      "relay scheduling"
    ],
    "image_url": null,
    "corrections": [
      {
        "correction_id": "correction-2026-10-13-001",
        "revision": 2,
        "summary": "Publication note: The October 13, 2026 edition was prepared and published late on October 13 after the scheduled newsroom task could not start. It retains its October 13 edition date and 9:00 AM America/Detroit reveal time. Reports use evidence available before that cutoff; actual preparation and image-generation times are preserved in the provenance records.",
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  "sources": [
    {
      "source_id": "source-2026-10-13-021",
      "title": "arXiv preprint 2610.13923, original v1",
      "publisher": "arXiv / submitting research authors",
      "url": "https://arxiv.org/abs/2610.13923v1",
      "canonical_url": "https://arxiv.org/abs/2610.13923v1",
      "source_type": "primary_research",
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      "published_at": null,
      "accessed_at": "2026-10-13T09:24:46.622-04:00",
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  "corrections": [
    {
      "correction_id": "correction-2026-10-13-001",
      "revision": 2,
      "summary": "Publication note: The October 13, 2026 edition was prepared and published late on October 13 after the scheduled newsroom task could not start. It retains its October 13 edition date and 9:00 AM America/Detroit reveal time. Reports use evidence available before that cutoff; actual preparation and image-generation times are preserved in the provenance records.",
      "published_at": "2026-10-13T09:43:56.853-04:00",
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    "name": "The Machine Press",
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    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "The Space Relay Learns What Can Wait",
    "publisher": "The Machine Press",
    "published_at": "2026-10-13T09:00:00.000-04:00",
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