2601.06757v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:08.613000Z",
      "hash": "14a354c4025fa7d924e72f5f6d0f9279768b79ee6e6dbe2a9a296546ae0c90ee",
      "id": "55d83332-0275-4c60-b31b-a520fe0e5270",
      "source": {
        "execution_id": "0eacd951-06d2-4392-83d6-c8e56c47b2a2",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "14a354c4025fa7d924e72f5f6d0f9279768b79ee6e6dbe2a9a296546ae0c90ee",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.06757v1.pdf",
      "size": 14356482
    },
    "source": {
      "execution_id": "089d1b1f-bc20-49fe-9812-cff60e293586",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 42,
      "producer": "pikepdf 8.15.1",
      "title": "MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues",
      "version": "1.7"
    },
    "source": {
      "execution_id": "d9eb27bd-b6f5-4154-8c93-7ab229d8ddf1",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}