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    "story_id": "mp-2026-09-27-005",
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    "headline": "A Mobile Agent Trained the Planner Around One Shared Contract",
    "slug": "a-mobile-agent-trained-the-planner-around-one-shared-contract",
    "dek": "Qwen-Planner-Agent aligned data, training and deployment through a common action representation.",
    "summary": "Qwen-Planner-Agent aligned data, training and deployment through a common action representation.",
    "body_text": "Qwen-Planner-Agent uses the same contract for collecting trajectories, training a planner and executing actions on devices. Its CARE process is designed to correct action representations before errors propagate across that pipeline. The authors report the best overall result in their MobilePA-Bench evaluation while preserving general capabilities, but the claim belongs to the paper's chosen tasks, baselines and device conditions.",
    "why_it_matters": "Qwen-Planner-Agent aligned data, training and deployment through a common action representation.",
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    "importance": 8,
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    "first_published_at": "2026-09-27T09:00:00.000-04:00",
    "modified_at": "2026-09-27T09:00:00.000-04:00",
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    "tags": [
      "mobile agents",
      "action planning",
      "benchmark evaluation"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-09-27-005",
      "title": "arXiv preprint 2609.29892",
      "publisher": "arXiv",
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      "published_at": "2026-09-24T10:38:08.000-04:00",
      "accessed_at": "2026-09-27T08:26:41.000-04:00",
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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": "A Mobile Agent Trained the Planner Around One Shared Contract",
    "publisher": "The Machine Press",
    "published_at": "2026-09-27T09:00:00.000-04:00",
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