2601.15232v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "74e2098fe7327f5fd4bd106e92ac49f9d459c114593bbed15b8fa73d76199563",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.15232v1.pdf",
      "size": 7042410
    },
    "source": {
      "execution_id": "daca157b-80bf-4576-9866-d845e4ceefd0",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-22T02:11:26Z",
      "keywords": [
        "Large Language Model",
        "AI Agents",
        "Bug Study"
      ],
      "modified_date": "2026-01-22T02:11:26Z",
      "page_count": 31,
      "producer": "pikepdf 8.15.1",
      "subject": "-  Do Not Use This Code  -\u003e  Generate the Correct Terms for Your Paper.Generate the Correct Terms for Your Paper.Generate the Correct Terms for Your Paper.Generate the Correct Terms for Your Paper.",
      "title": "When Agents Fail: A Comprehensive Study of Bugs in LLM Agents with Automated Labeling",
      "version": "1.7"
    },
    "source": {
      "execution_id": "2bc6df7f-3db1-4c84-ba3d-9419b8a98473",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}