2601.09684v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:20.452000Z",
      "hash": "37f6766fa01f358a7e7032a774dd099bf26aa65b1fb02725a7f08304ee469d26",
      "id": "0bff3356-2511-4725-bfbb-c2a17ceea67e",
      "source": {
        "execution_id": "48387e72-ab94-4c80-ac3e-2577f128d991",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "37f6766fa01f358a7e7032a774dd099bf26aa65b1fb02725a7f08304ee469d26",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.09684v1.pdf",
      "size": 320810
    },
    "source": {
      "execution_id": "16645dae-dfa1-459f-8324-1633a98d4511",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 5,
      "producer": "pikepdf 8.15.1",
      "title": "Disentangling Task Conflicts in Multi-Task LoRA via Orthogonal Gradient Projection",
      "version": "1.7"
    },
    "source": {
      "execution_id": "b5b08538-f650-4bea-99be-ad689d3a2757",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}