2601.05475v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:03.799000Z",
      "hash": "685aa7dce871f1870f2ade2e1055845a2f6e8e4015472aa8da73f212bdc9cf99",
      "id": "32d1e7cc-a9c7-4b8e-a349-7c70693a8cbe",
      "source": {
        "execution_id": "74e70217-35c9-4fa9-b18e-704ad64726a0",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "685aa7dce871f1870f2ade2e1055845a2f6e8e4015472aa8da73f212bdc9cf99",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.05475v1.pdf",
      "size": 6503173
    },
    "source": {
      "execution_id": "c5237fef-6b5d-4975-9ec0-c42638e2d755",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 22,
      "producer": "pikepdf 8.15.1",
      "title": "MaxCode: A Max-Reward Reinforcement Learning Framework for Automated Code Optimization",
      "version": "1.7"
    },
    "source": {
      "execution_id": "2ff96e7f-7409-4cbb-8fdd-d2ba4b94e82c",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}