{
  "id": 1249,
  "url": "https://arxiv.org/abs/2606.09774v2",
  "title": "Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters",
  "summary": "Configuring an advanced scientific simulator, translating a modeling goal into a valid, runnable input deck, is a persistent bottleneck that costs domain scientists hours to days. Input decks are executable interfaces: simulator-specific vocabulary, cross-file references, schema constraints, and validation rules must align before a simulation can run. We show that this bottleneck can be substantially reduced with a lightweight adapter around an off-the-shelf coding agent, rather than a bespoke s",
  "authors": "Matthew Ho, Brian Liu, Jixuan Chen, Audrey Wang, Lianhui Qin",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-08T17:35:17.000Z",
  "fetched_at": "2026-07-14T14:15:07.845Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1249",
  "original_url": "https://arxiv.org/abs/2606.09774v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}