2601.08550v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:16.029000Z",
      "hash": "4f082e37a1eb3cfc9ce260669e5401bc7c603054ce85cba20fab7a10c832e60d",
      "id": "8c051438-0900-465b-ba35-e25e03ebdf4a",
      "source": {
        "execution_id": "c49a661c-defb-436f-9870-1b63387552ae",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "4f082e37a1eb3cfc9ce260669e5401bc7c603054ce85cba20fab7a10c832e60d",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.08550v1.pdf",
      "size": 4117290
    },
    "source": {
      "execution_id": "d534eb49-8890-4079-a3bc-6a7611b56281",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 17,
      "producer": "pikepdf 8.15.1",
      "title": "Reconstructing Gamma Ray Burst Energy Relations with Observational H(z) data in Neural Network Framework",
      "version": "1.7"
    },
    "source": {
      "execution_id": "d5f52e88-4809-44d2-a7b5-b32f3657b7e6",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}