2601.07258v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:11.335000Z",
      "hash": "c63d5bceda2f728d72b6178d2dc17b1488d18b3b87840519a9aca17c5f750334",
      "id": "ddc87db8-4f7e-4929-99ca-e78425511b77",
      "source": {
        "execution_id": "fca332ab-28dd-4431-8ab1-f2c7cb41cd5c",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "c63d5bceda2f728d72b6178d2dc17b1488d18b3b87840519a9aca17c5f750334",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.07258v1.pdf",
      "size": 620624
    },
    "source": {
      "execution_id": "9abe6775-f6af-4b7a-b2fb-df71d4eb7caa",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 12,
      "producer": "pikepdf 8.15.1",
      "title": "Simulated Annealing-based Candidate Optimization for Batch Acquisition Functions",
      "version": "1.7"
    },
    "source": {
      "execution_id": "dca305ea-2cd0-46b7-8c63-0436ff59a964",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}