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    "story_id": "mp-2026-11-07-004",
    "source_story_id": "tmp-story-intent-slo",
    "edition_id": "mp-2026-11-07-morning-0120",
    "edition_url": "https://themachinepress.com/edition/2026-11-07",
    "position": 4,
    "story_type": "dispatch",
    "section": "infrastructure",
    "editorial_classification": "editorial",
    "headline": "Small Models Translate Network Intent—Until the Wording Moves",
    "slug": "small-models-translate-network-intent-until-the-wording-moves",
    "dek": "Ten sub-10-billion-parameter models reach 0.943 strict F1, but realistic rephrasing weakens invalid-intent rejection.",
    "summary": "Ten sub-10-billion-parameter models reach 0.943 strict F1, but realistic rephrasing weakens invalid-intent rejection.",
    "body_text": "Across 716 placement intents, the strongest lightweight configurations translated operator requests into service-level objectives with 0.943 strict F1 and rejected as many as 191 of 195 invalid requests. Few-shot reasoning cut unsupported QoS hallucinations to roughly one response in a hundred for the best models, at an energy cost of 0.044 to 0.148 Wh per translation without reasoning. Yet realistic paraphrases reduced invalid-intent rejection in 15 of 16 tested setups, leaving robustness as the central deployment gap.",
    "why_it_matters": "Ten sub-10-billion-parameter models reach 0.943 strict F1, but realistic rephrasing weakens invalid-intent rejection.",
    "limitations": [],
    "importance": 9,
    "canonical_url": "https://themachinepress.com/story/mp-2026-11-07-004/small-models-translate-network-intent-until-the-wording-moves",
    "json_url": "https://themachinepress.com/story/mp-2026-11-07-004.json",
    "first_published_at": "2026-11-07T09:00:00.000-05:00",
    "modified_at": "2026-11-07T09:00:00.000-05:00",
    "content_status": "updated",
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    "carryover_reason": null,
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        "text": "Ten sub-10-billion-parameter models reach 0.943 strict F1, but realistic rephrasing weakens invalid-intent rejection.",
        "source_ids": [
          "source-2026-11-07-004"
        ],
        "qualification": null
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    ],
    "source_ids": [
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    ],
    "tags": [
      "network operations",
      "small language models",
      "SLOs"
    ],
    "image_url": null,
    "corrections": [
      {
        "correction_id": "correction-2026-11-07-001",
        "revision": 2,
        "summary": "Publication note: This November 7 edition was assembled before its scheduled 9:00 AM America/Detroit reveal but is being published late after recovery from a local build interruption. Its original reporting, image-generation times and scheduled publishAt are preserved.",
        "published_at": "2026-11-07T09:00:00.000-05:00",
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  "sources": [
    {
      "source_id": "source-2026-11-07-004",
      "title": "arXiv preprint 2611.07982, original v1",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2611.07982v1",
      "canonical_url": "https://arxiv.org/abs/2611.07982v1",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-11-05T08:12:30.000-05:00",
      "accessed_at": "2026-11-07T08:24:00.000-05:00",
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    }
  ],
  "corrections": [
    {
      "correction_id": "correction-2026-11-07-001",
      "revision": 2,
      "summary": "Publication note: This November 7 edition was assembled before its scheduled 9:00 AM America/Detroit reveal but is being published late after recovery from a local build interruption. Its original reporting, image-generation times and scheduled publishAt are preserved.",
      "published_at": "2026-11-07T09:00:00.000-05:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
  },
  "cite_this_report": {
    "title": "Small Models Translate Network Intent—Until the Wording Moves",
    "publisher": "The Machine Press",
    "published_at": "2026-11-07T09:00:00.000-05:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-11-07-004/small-models-translate-network-intent-until-the-wording-moves"
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