2601.10923v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "1b34f5f2c1a5cfb42e06a29ff4a144b70aa6ddc4639d179b86cf9ed92c0a88fc",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.10923v1.pdf",
      "size": 657008
    },
    "source": {
      "execution_id": "6450d7f9-2e73-4f80-ac83-7afb2e6fdf36",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-19T01:18:54Z",
      "keywords": [
        "retrieval-augmented generation",
        "prompt injection",
        "web security",
        "social web",
        "poisoning attacks",
        "LLM safety"
      ],
      "modified_date": "2026-01-19T01:18:54Z",
      "page_count": 4,
      "producer": "pikepdf 8.15.1",
      "subject": "-  Security and privacy  -\u003e  Web application security.-  Information systems  -\u003e  Web mining.Social networks.-  Computing methodologies  -\u003e  Natural language generation.",
      "title": "Hidden-in-Plain-Text: A Benchmark for Social-Web Indirect Prompt Injection in RAG",
      "version": "1.7"
    },
    "source": {
      "execution_id": "9d6f5ba6-f0e9-4ab4-a915-89cf03040cf1",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}