2601.06305v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:08.809000Z",
      "hash": "5ec01145dc9abfea093e04024fb6b43d6e303aad1d73496a6cac9e2d8f7d7c3d",
      "id": "6ce16ac3-dbbd-4bec-8e8c-ab9576bfb033",
      "source": {
        "execution_id": "dcde1d2d-5b3d-44b2-99c0-ca2b8254d1f8",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "5ec01145dc9abfea093e04024fb6b43d6e303aad1d73496a6cac9e2d8f7d7c3d",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.06305v1.pdf",
      "size": 502297
    },
    "source": {
      "execution_id": "8a87d84e-d6c1-4b71-9ac0-4249e081cdcc",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 13,
      "producer": "pikepdf 8.15.1",
      "title": "Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language Models",
      "version": "1.7"
    },
    "source": {
      "execution_id": "cd1ca534-b0c3-43d7-b0c1-16f09c09a438",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}