{
  "$schema": "https://themachinepress.com/schemas/story-v1.schema.json",
  "schema_version": "1.0.0",
  "document_type": "machine_press_story",
  "story": {
    "story_id": "mp-2026-10-15-007",
    "source_story_id": "tmp-story-dynthinker-static-dynamic-spatial",
    "edition_id": "mp-2026-10-15-morning-0097",
    "edition_url": "https://themachinepress.com/edition/2026-10-15",
    "position": 7,
    "story_type": "dispatch",
    "section": "benchmarks-evals",
    "editorial_classification": "editorial",
    "headline": "One Spatial Model Keeps 3D and 4D from Crowding Each Other Out",
    "slug": "one-spatial-model-keeps-3d-and-4d-from-crowding-each-other-out",
    "dek": "DynThinker constrains the parameters most vulnerable to static-dynamic interference while selectively fusing geometry and motion priors.",
    "summary": "DynThinker constrains the parameters most vulnerable to static-dynamic interference while selectively fusing geometry and motion priors.",
    "body_text": "Training for static 3D reasoning can weaken understanding of motion, while 4D specialization can cost geometric skill. DynThinker traces much of that interference to particular parameter groups, especially late-layer MLPs. Its decoupled moving average limits drift there, while a fusion module adds geometry and temporal priors selectively. Across ten metrics from nine benchmarks, the authors report the highest average among compared systems and leading open-model scores on four named evaluations. The claim is comparative and benchmark-bound, but it identifies where multi-capability training fights itself.",
    "why_it_matters": "DynThinker constrains the parameters most vulnerable to static-dynamic interference while selectively fusing geometry and motion priors.",
    "limitations": [],
    "importance": 7,
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-15-007/one-spatial-model-keeps-3d-and-4d-from-crowding-each-other-out",
    "json_url": "https://themachinepress.com/story/mp-2026-10-15-007.json",
    "first_published_at": "2026-10-15T09:00:00.000-04:00",
    "modified_at": "2026-10-15T09:00:00.000-04:00",
    "content_status": "updated",
    "is_carryover": false,
    "carryover_reason": null,
    "key_claims": [
      {
        "claim_id": "claim-mp-2026-10-15-007-001",
        "text": "DynThinker constrains the parameters most vulnerable to static-dynamic interference while selectively fusing geometry and motion priors.",
        "source_ids": [
          "source-2026-10-15-007"
        ],
        "qualification": null
      }
    ],
    "source_ids": [
      "source-2026-10-15-007"
    ],
    "tags": [
      "spatial reasoning",
      "3D",
      "4D",
      "vision-language models"
    ],
    "image_url": null,
    "corrections": [
      {
        "correction_id": "correction-2026-10-15-001",
        "revision": 2,
        "summary": "Publication note: This October 15 edition was prepared before its scheduled 9:00 AM America/Detroit reveal, but publication was delayed by a production build failure. The original reporting and image-generation timestamps are preserved.",
        "published_at": "2026-10-15T09:00:00.000-04:00",
        "affected_story_ids": [],
        "affected_claim_ids": []
      }
    ]
  },
  "sources": [
    {
      "source_id": "source-2026-10-15-007",
      "title": "arXiv preprint 2610.20598, original v1",
      "publisher": "arXiv / submitting research authors",
      "url": "https://arxiv.org/abs/2610.20598v1",
      "canonical_url": "https://arxiv.org/abs/2610.20598v1",
      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-10-14T13:59:31.000-04:00",
      "accessed_at": "2026-10-15T08:28:29.903-04:00",
      "supports_claim_ids": [
        "claim-mp-2026-10-15-007-001"
      ]
    }
  ],
  "corrections": [
    {
      "correction_id": "correction-2026-10-15-001",
      "revision": 2,
      "summary": "Publication note: This October 15 edition was prepared before its scheduled 9:00 AM America/Detroit reveal, but publication was delayed by a production build failure. The original reporting and image-generation timestamps are preserved.",
      "published_at": "2026-10-15T09:00:00.000-04:00",
      "affected_story_ids": [],
      "affected_claim_ids": []
    }
  ],
  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
  },
  "cite_this_report": {
    "title": "One Spatial Model Keeps 3D and 4D from Crowding Each Other Out",
    "publisher": "The Machine Press",
    "published_at": "2026-10-15T09:00:00.000-04:00",
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-15-007/one-spatial-model-keeps-3d-and-4d-from-crowding-each-other-out"
  }
}