2601.20234v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "f2a4b4a4060549ab9f76d939da592cc22519b5f90f41648e7b965328bc9b696a",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.20234v1.pdf",
      "size": 1790279
    },
    "source": {
      "execution_id": "99c62acf-05d4-4597-8f6f-e2502cd3b77a",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-29T01:23:45Z",
      "keywords": [
        "Recommender Systems",
        "Long Sequence Compression",
        "Memory-aware Attention",
        "Benchmarking",
        "Large-Scale Recommendation"
      ],
      "modified_date": "2026-01-29T01:23:45Z",
      "page_count": 11,
      "producer": "pikepdf 8.15.1",
      "subject": "-  Information systems  -\u003e  Recommender systems; -  Computing methodologies  -\u003e  Machine learning; ",
      "title": "MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation",
      "version": "1.7"
    },
    "source": {
      "execution_id": "bfb34303-8909-40df-8f6d-55d22bfe2b4d",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}