2601.08024v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:15.039000Z",
      "hash": "a9e2ce132d45759200b3fbf68dea756f1ad68c4017de97ccb98a4c1ea4778c5a",
      "id": "60166c07-3eee-4e22-a2f8-d76333e93b53",
      "source": {
        "execution_id": "9df90dde-5a73-4337-aad2-0f551fc25074",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "a9e2ce132d45759200b3fbf68dea756f1ad68c4017de97ccb98a4c1ea4778c5a",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.08024v1.pdf",
      "size": 520634
    },
    "source": {
      "execution_id": "078ea14b-7db8-416b-ba83-0295884d296a",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 17,
      "producer": "pikepdf 8.15.1",
      "title": "A Highly Efficient Diversity-based Input Selection for DNN Improvement Using VLMs",
      "version": "1.7"
    },
    "source": {
      "execution_id": "a6be12f9-8a22-4e4e-b84c-ad849c495975",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}