{
  "$schema": "https://themachinepress.com/schemas/story-v1.schema.json",
  "schema_version": "1.0.0",
  "document_type": "machine_press_story",
  "story": {
    "story_id": "mp-2026-10-25-007",
    "source_story_id": "tmp-story-scope-plan-error-datasets",
    "edition_id": "mp-2026-10-25-morning-0107",
    "edition_url": "https://themachinepress.com/edition/2026-10-25",
    "position": 7,
    "story_type": "dispatch",
    "section": "robotics",
    "editorial_classification": "editorial",
    "headline": "The Failed Plan Repairs the Training Scene",
    "slug": "the-failed-plan-repairs-the-training-scene",
    "dek": "SCOPE turns planner execution errors into feedback for correcting hallucinated scene graphs before they enter long-horizon robot datasets.",
    "summary": "SCOPE turns planner execution errors into feedback for correcting hallucinated scene graphs before they enter long-horizon robot datasets.",
    "body_text": "Automatically generated task-and-motion-planning data can be repetitive or physically unsolvable when a language model invents inconsistent scene graphs. SCOPE measures scenario diversity while running a planner against each generated scene. Execution failures feed a retroactive correction loop that repairs logical and physical inconsistencies before the example is accepted. In the reported comparison, an LLM fine-tuned on SCOPE data achieved a 12.33-point absolute success-rate gain over a counterpart trained on data from the DELTA PDDL-based generator. This evaluates the authors' generation pipeline, planners and downstream tasks; it does not establish that every corrected scene is physically complete or that synthetic planning data transfers to every robot.",
    "why_it_matters": "SCOPE turns planner execution errors into feedback for correcting hallucinated scene graphs before they enter long-horizon robot datasets.",
    "limitations": [
      "This evaluates the authors' generation pipeline, planners and downstream tasks; it does not establish that every corrected scene is physically complete or that synthetic planning data transfers to every robot."
    ],
    "importance": 8,
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-25-007/the-failed-plan-repairs-the-training-scene",
    "json_url": "https://themachinepress.com/story/mp-2026-10-25-007.json",
    "first_published_at": "2026-10-25T09:00:00.000-04:00",
    "modified_at": "2026-10-25T09:00:00.000-04:00",
    "content_status": "new",
    "is_carryover": false,
    "carryover_reason": null,
    "key_claims": [
      {
        "claim_id": "claim-mp-2026-10-25-007-001",
        "text": "SCOPE turns planner execution errors into feedback for correcting hallucinated scene graphs before they enter long-horizon robot datasets.",
        "source_ids": [
          "source-2026-10-25-007"
        ],
        "qualification": "This evaluates the authors' generation pipeline, planners and downstream tasks; it does not establish that every corrected scene is physically complete or that synthetic planning data transfers to every robot."
      }
    ],
    "source_ids": [
      "source-2026-10-25-007"
    ],
    "tags": [
      "task planning",
      "dataset generation",
      "scene graphs",
      "error correction"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-10-25-007",
      "title": "arXiv preprint 2610.31518, original v1",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2610.31518v1",
      "canonical_url": "https://arxiv.org/abs/2610.31518v1",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-10-22T12:31:11.000-04:00",
      "accessed_at": "2026-10-25T08:17:14.361-04:00",
      "supports_claim_ids": [
        "claim-mp-2026-10-25-007-001"
      ]
    }
  ],
  "corrections": [],
  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
  },
  "cite_this_report": {
    "title": "The Failed Plan Repairs the Training Scene",
    "publisher": "The Machine Press",
    "published_at": "2026-10-25T09:00:00.000-04:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-25-007/the-failed-plan-repairs-the-training-scene"
  }
}