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    "story_id": "mp-2026-09-26-027",
    "source_story_id": "tmp-story-grasp-strategic-planning-front-rail",
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    "section": "frontier-models",
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    "headline": "Isolated Planners Avoided Multi-Task Collapse",
    "slug": "isolated-planners-avoided-multi-task-collapse",
    "dek": "GRASP separated guideline generation, strategy revision and trajectory assessment into context-isolated modules.",
    "summary": "GRASP separated guideline generation, strategy revision and trajectory assessment into context-isolated modules.",
    "body_text": "The framework pre-compiles global planning guidance, explores local alternatives in separate context windows and assigns independent modules to judge candidate trajectories. Across calendar scheduling, ZebraLogic and SciBench Math, the authors report gains over direct planners; in interleaved dual-task tests, accuracy improved by as much as 16.7 percentage points and did not show the immediate degradation seen in the compared standard planners. These are results from the selected benchmarks and model comparisons, not a guarantee for open-ended strategic work.",
    "why_it_matters": "GRASP separated guideline generation, strategy revision and trajectory assessment into context-isolated modules.",
    "limitations": [
      "Across calendar scheduling, ZebraLogic and SciBench Math, the authors report gains over direct planners; in interleaved dual-task tests, accuracy improved by as much as 16.7 percentage points and did not show the immediate degradation seen in the compared standard planners.",
      "These are results from the selected benchmarks and model comparisons, not a guarantee for open-ended strategic work."
    ],
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    "first_published_at": "2026-09-26T09:00:00.000-04:00",
    "modified_at": "2026-09-26T09:00:00.000-04:00",
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        "text": "GRASP separated guideline generation, strategy revision and trajectory assessment into context-isolated modules.",
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        "qualification": "Across calendar scheduling, ZebraLogic and SciBench Math, the authors report gains over direct planners; in interleaved dual-task tests, accuracy improved by as much as 16.7 percentage points and did not show the immediate degradation seen in the compared standard planners."
      }
    ],
    "source_ids": [
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    "tags": [
      "agent planning",
      "context isolation",
      "multi-task reasoning"
    ],
    "image_url": null,
    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-09-26-016",
      "title": "arXiv preprint 2609.30147",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.30147",
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      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-09-24T13:11:35.000-04:00",
      "accessed_at": "2026-09-26T08:20:31.000-04:00",
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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": "Isolated Planners Avoided Multi-Task Collapse",
    "publisher": "The Machine Press",
    "published_at": "2026-09-26T09:00:00.000-04:00",
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