{
  "id": 13707,
  "url": "https://arxiv.org/abs/2607.22165v1",
  "title": "DBA-Bench: A Production-Fidelity Benchmark for LLM-Based Database Operations Agents",
  "summary": "LLM-based database agents show promise, but differing task scopes, testbeds, and metrics hinder comparison. We identify four gaps between evaluation and production operations: live-environment fidelity (multi-turn read-write interaction with a running database); observation-space scale and complexity (causal diagnosis across thousands of time series, business logs, and concurrent activity); solution-space openness (multiple remediations with different operational trade-offs); and scenario comple",
  "authors": "Junming Chen, Junyang Jiang, Xu Chen, Zibo Liang, Kai Zheng",
  "category": "research",
  "topics": "healthcare,agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-24T10:11:24.000Z",
  "fetched_at": "2026-07-27T05:10:06.638Z",
  "source_slug": "x-arxiv-cs-ai",
  "source_name": "arXiv cs.AI",
  "source_homepage": "https://arxiv.org/list/cs.AI/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/13707",
  "original_url": "https://arxiv.org/abs/2607.22165v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}