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    "story_id": "mp-2026-10-09-006",
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    "headline": "The Visual Research Agent Kept Its Evidence Chain",
    "slug": "the-visual-research-agent-kept-its-evidence-chain",
    "dek": "OneSearch-VL links image anchors, entities, retrieved facts and answer operations in a shared graph.",
    "summary": "OneSearch-VL links image anchors, entities, retrieved facts and answer operations in a shared graph.",
    "body_text": "Finding a relevant image and finding a relevant source do not establish how they support the same answer. OneSearch-VL uses a Visually Grounded Evidence Graph to preserve those dependencies during data construction, process supervision and evaluation. Its training sets contain 110,000 supervised examples and 10,000 reinforcement-learning examples, with rewards aimed at traceability and visual grounding. The eight-billion-parameter agent exceeded a tool-enabled Qwen3-VL-8B baseline by 20.2 and 17.6 percentage points on the authors’ new multi-image and video benchmarks, with gains on additional evaluations. Those results are benchmark-specific. The useful architectural move is making the connection between an observed region and a source-supported claim explicit.",
    "why_it_matters": "OneSearch-VL links image anchors, entities, retrieved facts and answer operations in a shared graph.",
    "limitations": [
      "Finding a relevant image and finding a relevant source do not establish how they support the same answer."
    ],
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    "first_published_at": "2026-10-09T09:00:00.000-04:00",
    "modified_at": "2026-10-10T03:43:44.000-04:00",
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        "text": "OneSearch-VL links image anchors, entities, retrieved facts and answer operations in a shared graph.",
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        "qualification": "Finding a relevant image and finding a relevant source do not establish how they support the same answer."
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    "tags": [
      "multimodal agents",
      "evidence traceability",
      "deep research"
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  "sources": [
    {
      "source_id": "source-2026-10-09-006",
      "title": "arXiv preprint 2610.12419, original v1",
      "publisher": "arXiv / submitting research authors",
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      "published_at": "2026-10-08T13:52:46.000-04:00",
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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": "The Visual Research Agent Kept Its Evidence Chain",
    "publisher": "The Machine Press",
    "published_at": "2026-10-09T09:00:00.000-04:00",
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