2601.18777v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "7a61a589c784b6c9c38de05c608319087b96ac69510200a557616c45f59ff041",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.18777v1.pdf",
      "size": 1787300
    },
    "source": {
      "execution_id": "aefedf86-0443-4863-964c-9a2707f9ebdc",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 10,
      "producer": "pikepdf 8.15.1",
      "title": "PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation",
      "version": "1.7"
    },
    "source": {
      "execution_id": "5b532fe6-f404-4883-83bf-d58fc29f641d",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}