2601.10124v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:24.098000Z",
      "hash": "c14330c76a40fdd9534ae261d67fedb6c46a3926999db46e2dfa31ce6873aff1",
      "id": "c6367a3b-38b9-4b42-9505-567ffa67f7fc",
      "source": {
        "execution_id": "4589e3c4-9136-4fdc-9624-080952311087",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "c14330c76a40fdd9534ae261d67fedb6c46a3926999db46e2dfa31ce6873aff1",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.10124v1.pdf",
      "size": 2472040
    },
    "source": {
      "execution_id": "1dfcea69-4001-463d-ac3d-18663ca88edc",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 18,
      "producer": "pikepdf 8.15.1",
      "title": "VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation",
      "version": "1.7"
    },
    "source": {
      "execution_id": "21f927ac-8b27-4b87-893b-9b849d464ad8",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}