2601.20316v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "d4d17225f5e86fd5645e9896369e6e9168410538601dafb12fa2ccb08c1122a7",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.20316v1.pdf",
      "size": 978577
    },
    "source": {
      "execution_id": "62cdf45e-0d2e-4093-a92a-f19067064fb9",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-29T01:35:39Z",
      "keywords": [
        "Large Language Models",
        "Recommendation Systems",
        "Context Length",
        "Benchmark",
        "E-commerce",
        "Personalization",
        "Efficiency"
      ],
      "modified_date": "2026-01-29T01:35:39Z",
      "page_count": 6,
      "producer": "pikepdf 8.15.1",
      "title": "Less is More: Benchmarking LLM Based Recommendation Agents",
      "version": "1.7"
    },
    "source": {
      "execution_id": "d5e3578f-54a5-455b-b28f-3d7f0a06b55d",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}