{
  "id": 1561,
  "url": "https://arxiv.org/abs/2607.11127",
  "title": "Do LLMs Fabricate Legal Citations? A Bilingual Benchmark on Saudi Data Protection Law and the GDPR",
  "summary": "arXiv:2607.11127v1 Announce Type: cross Abstract: Organizations and regulators increasingly consult large language models (LLMs) for regulatory-compliance questions, yet a wrong statutory citation can silently propagate into legal advice, compliance documentation, and policy decisions. We introduce a bilingual benchmark of 120 questions probing whether freely accessible LLMs fabricate article citations for two data-protection instruments: the EU General Data Protection Regulation (GDPR) and the ",
  "authors": "Noura Suliman Alrajeh",
  "category": "research",
  "topics": "regulation,privacy-surveillance",
  "orgs": null,
  "regions": "eu,middle-east",
  "published_at": "2026-07-14T04:00:00.000Z",
  "fetched_at": "2026-07-14T16:04:12.223Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/1561",
  "original_url": "https://arxiv.org/abs/2607.11127",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}