{
  "id": 1306,
  "url": "https://arxiv.org/abs/2606.08481v1",
  "title": "PIPE-Cypher: Automatic Enterprise Benchmark Generation for Text-to-Cypher Systems",
  "summary": "Enterprise property graphs vary widely in schema structure, internal terminology, domain assumptions, governance constraints, and user interaction patterns. A deployment-relevant Text2Cypher benchmark therefore reflects the questions users and agents actually ask of that graph. Creating such a benchmark is difficult because schemas and values are unique, and graph structure changes over time. Each NL-query pair must also be executable, use real graph entities, preserve diversity, and remain bala",
  "authors": "Suraj Ranganath, Anish Raghavendra",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-07T06:53:09.000Z",
  "fetched_at": "2026-07-14T14:15:12.455Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1306",
  "original_url": "https://arxiv.org/abs/2606.08481v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}