2601.06356v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:07.570000Z",
      "hash": "cc886102893546fc1956d8e7c9ee83c8f75c402631118b790430bc6cab0c5f0f",
      "id": "f4e787b8-1fe3-4e2c-bd21-c6e1644a2c82",
      "source": {
        "execution_id": "68cb104a-a5f5-4c35-8d89-89fe12d23061",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "cc886102893546fc1956d8e7c9ee83c8f75c402631118b790430bc6cab0c5f0f",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.06356v1.pdf",
      "size": 21546278
    },
    "source": {
      "execution_id": "f314583f-1e5a-455e-a80f-295921239644",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 41,
      "producer": "pikepdf 8.15.1",
      "title": "Monkey Jump : MoE-Style PEFT for Efficient Multi-Task Learning",
      "version": "1.7"
    },
    "source": {
      "execution_id": "64004880-a7e9-4855-b9f1-9a66cfd971d5",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}