2601.12984v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "cf7900f60dd054f385d4dface403af2740435c2a718856b071e040f55b7294e8",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.12984v1.pdf",
      "size": 2024565
    },
    "source": {
      "execution_id": "43d876c4-c716-40a1-b23a-a5065d660637",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-21T04:02:02Z",
      "keywords": [],
      "modified_date": "2026-01-21T04:02:02Z",
      "page_count": 28,
      "producer": "pikepdf 8.15.1",
      "title": "Machine learning interatomic potentials for solid-state precipitation",
      "version": "1.7"
    },
    "source": {
      "execution_id": "cd5db06d-f324-4044-81f1-ff35b8ed40ba",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}