2601.06787v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:07.837000Z",
      "hash": "80756f1c8f13fece0224da4504f6f2c76e96ef9d9175fac02ca8f7c3decbba02",
      "id": "474a4689-dec7-4b33-b1be-f45707ad0dd9",
      "source": {
        "execution_id": "7e66ed2a-c2f5-44e5-be54-313134c56831",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "80756f1c8f13fece0224da4504f6f2c76e96ef9d9175fac02ca8f7c3decbba02",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.06787v1.pdf",
      "size": 22702733
    },
    "source": {
      "execution_id": "391bbc24-39ca-4d2b-b4de-af85027a7192",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 17,
      "producer": "pikepdf 8.15.1",
      "title": "Garbage Attention in Large Language Models: BOS Sink Heads and Sink-aware Pruning",
      "version": "1.7"
    },
    "source": {
      "execution_id": "29d79bcb-46d5-4381-a645-fe67d3df418f",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}