2601.10445v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:24.336000Z",
      "hash": "6ba09572b2460ad6ebb99b50adfc2596c07491f7d28381f3578927d9ac58b71d",
      "id": "bd74fb67-7c3c-4a01-896a-7fd7d4b143c1",
      "source": {
        "execution_id": "017a7d16-9131-4ebb-890d-d67fae2f0a2f",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "6ba09572b2460ad6ebb99b50adfc2596c07491f7d28381f3578927d9ac58b71d",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.10445v1.pdf",
      "size": 549195
    },
    "source": {
      "execution_id": "d5172637-2974-4f7b-86d5-a88d74c3076e",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 21,
      "producer": "pikepdf 8.15.1",
      "title": "Modeling mental health trajectories during the COVID-19 pandemic using UK-wide data in the presence of sociodemographic variables",
      "version": "1.7"
    },
    "source": {
      "execution_id": "49013b72-1ef2-4a3a-986a-af5f21fd3faa",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}