2601.15392v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "d422fca111691b9f3b8cc7706c0c168c1f3e17c39139e0abd9cfdefafc53a032",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.15392v1.pdf",
      "size": 820890
    },
    "source": {
      "execution_id": "ede46483-59f8-4a70-814e-a605e181d94c",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 12,
      "producer": "pikepdf 8.15.1",
      "title": "GeMM-GAN: A Multimodal Generative Model Conditioned on Histopathology Images and Clinical Descriptions for Gene Expression Profile Generation",
      "version": "1.7"
    },
    "source": {
      "execution_id": "f0c127d5-519e-4e16-8eac-4b37e5e23c3b",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}