2601.05635v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:03.992000Z",
      "hash": "5481e9db73bd2e9790fc6f896e47da1d616c795645743114def7e5ea2b30c247",
      "id": "781ec258-6582-4ae6-8f6a-3992f2ade6ea",
      "source": {
        "execution_id": "5e9db86c-6267-450c-9000-ed920da13d94",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "5481e9db73bd2e9790fc6f896e47da1d616c795645743114def7e5ea2b30c247",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.05635v1.pdf",
      "size": 1293667
    },
    "source": {
      "execution_id": "8905830b-df6e-4b9b-b3a3-78235d0fc90a",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 18,
      "producer": "pikepdf 8.15.1",
      "title": "Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs",
      "version": "1.7"
    },
    "source": {
      "execution_id": "b9eb20ee-984a-4f4a-9c5c-9018cb62ce2a",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}