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    "story_id": "mp-2026-10-02-010",
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    "headline": "Synthetic Spatial Hints Transferred to Real Images",
    "slug": "synthetic-spatial-hints-transferred-to-real-images",
    "dek": "Privileged coordinates used only in training raised six real-world vision benchmarks by 3.23 points on average.",
    "summary": "Privileged coordinates used only in training raised six real-world vision benchmarks by 3.23 points on average.",
    "body_text": "Where-OPD gives a teacher textual spatial guidance from procedurally generated scenes while the student sees only the image and question. The teacher locates and combines evidence across relevant regions; the student learns that behavior without human grounding labels or an external teacher model. Training only on synthetic scenes improved counting, document and chart tasks and produced a 3.23-point average gain across six real-world perception benchmarks. The transfer is measured on the reported models and tests.",
    "why_it_matters": "Privileged coordinates used only in training raised six real-world vision benchmarks by 3.23 points on average.",
    "limitations": [
      "Where-OPD gives a teacher textual spatial guidance from procedurally generated scenes while the student sees only the image and question.",
      "Training only on synthetic scenes improved counting, document and chart tasks and produced a 3.23-point average gain across six real-world perception benchmarks."
    ],
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    "first_published_at": "2026-10-02T09:00:00.000-04:00",
    "modified_at": "2026-10-02T09:00:00.000-04:00",
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        "text": "Privileged coordinates used only in training raised six real-world vision benchmarks by 3.23 points on average.",
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        "qualification": "Where-OPD gives a teacher textual spatial guidance from procedurally generated scenes while the student sees only the image and question."
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    "tags": [
      "multimodal models",
      "self-distillation",
      "synthetic data"
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    "image_url": null,
    "corrections": []
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  "sources": [
    {
      "source_id": "source-2026-10-02-010",
      "title": "arXiv preprint 2610.02117",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2610.02117",
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      "source_type": "primary_research",
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      "published_at": "2026-10-01T13:34:10.000-04:00",
      "accessed_at": "2026-10-02T08:44:06.000-04:00",
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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": "Synthetic Spatial Hints Transferred to Real Images",
    "publisher": "The Machine Press",
    "published_at": "2026-10-02T09:00:00.000-04:00",
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