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  "story": {
    "story_id": "mp-2026-10-12-016",
    "source_story_id": "tmp-brief-dream-to-remember-continual-steering",
    "edition_id": "mp-2026-10-12-morning-0094",
    "edition_url": "https://themachinepress.com/edition/2026-10-12",
    "position": 18,
    "story_type": "ticker",
    "section": "robotics",
    "editorial_classification": "editorial",
    "headline": "Imagined Practice Helped the Robot Keep Earlier Skills",
    "slug": "imagined-practice-helped-the-robot-keep-earlier-skills",
    "dek": "Dream to Remember rehearses prior tasks while a steering module learns new ones.",
    "summary": "Dream to Remember rehearses prior tasks while a steering module learns new ones.",
    "body_text": "On eight sequential CALVIN tasks, the authors report average success rising from 63.7% to 74.8%; their LoRA comparison fell to 11.7%. The approach uses a frozen world model to rehearse earlier behavior, and also showed sequential improvements on three real Franka tasks.",
    "why_it_matters": "Dream to Remember rehearses prior tasks while a steering module learns new ones.",
    "limitations": [],
    "importance": 7,
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-12-016/imagined-practice-helped-the-robot-keep-earlier-skills",
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    "first_published_at": "2026-10-12T09:00:00.000-04:00",
    "modified_at": "2026-10-12T09:48:10.481-04:00",
    "content_status": "updated",
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    "carryover_reason": null,
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        "text": "Dream to Remember rehearses prior tasks while a steering module learns new ones.",
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        "qualification": null
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    "source_ids": [
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    "tags": [
      "continual-learning",
      "world-models",
      "preprint"
    ],
    "image_url": null,
    "corrections": [
      {
        "correction_id": "correction-2026-10-12-001",
        "revision": 2,
        "summary": "Publication note: The October 12, 2026 edition was prepared and published late on October 12 after the scheduled newsroom task could not start. The edition retains its October 12 date and 9:00 AM America/Detroit reveal time. Reports use sources available before that cutoff; actual preparation and image-generation times are preserved in the provenance records.",
        "published_at": "2026-10-12T09:48:10.481-04:00",
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  "sources": [
    {
      "source_id": "source-2026-10-12-018",
      "title": "arXiv preprint 2610.13816, original v1",
      "publisher": "arXiv / submitting research authors",
      "url": "https://arxiv.org/abs/2610.13816v1",
      "canonical_url": "https://arxiv.org/abs/2610.13816v1",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-10-09T12:28:01.000-04:00",
      "accessed_at": "2026-10-12T09:32:36.867-04:00",
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  "corrections": [
    {
      "correction_id": "correction-2026-10-12-001",
      "revision": 2,
      "summary": "Publication note: The October 12, 2026 edition was prepared and published late on October 12 after the scheduled newsroom task could not start. The edition retains its October 12 date and 9:00 AM America/Detroit reveal time. Reports use sources available before that cutoff; actual preparation and image-generation times are preserved in the provenance records.",
      "published_at": "2026-10-12T09:48:10.481-04:00",
      "affected_story_ids": [],
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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": "Imagined Practice Helped the Robot Keep Earlier Skills",
    "publisher": "The Machine Press",
    "published_at": "2026-10-12T09:00:00.000-04:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-12-016/imagined-practice-helped-the-robot-keep-earlier-skills"
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