2601.07459v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:11.557000Z",
      "hash": "a5100c9be56516264965baa91f311cd067528f7c58e5ffd02b3765cd4c50f95b",
      "id": "962baeec-5373-4166-ae25-ca42fcad7a51",
      "source": {
        "execution_id": "527fbaa7-3de2-4018-81b3-124aa0731237",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "a5100c9be56516264965baa91f311cd067528f7c58e5ffd02b3765cd4c50f95b",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.07459v1.pdf",
      "size": 6610296
    },
    "source": {
      "execution_id": "ee82a423-8e12-45b7-84c6-d54d5fd74fb4",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-13T02:44:39Z",
      "keywords": [
        "Video question answering",
        "Visual Language Models",
        "submodular functions",
        "frame selection",
        "Query-based"
      ],
      "modified_date": "2026-01-13T02:44:39Z",
      "page_count": 8,
      "producer": "pikepdf 8.15.1",
      "subject": "-  Computing methodologies  -\u003e  Scene understanding.Natural language processing.Machine learning approaches.",
      "title": "Improving Video Question Answering through query-based frame selection",
      "version": "1.7"
    },
    "source": {
      "execution_id": "59e5b477-f970-4eb4-a6f3-54c09dfcdcb9",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}