{
  "id": 7614,
  "url": "https://arxiv.org/abs/2603.06739v2",
  "title": "ResearchEnvBench: Benchmarking Agents on Environment Synthesis for Research Code Execution",
  "summary": "Autonomous agents are increasingly expected to support scientific research, and recent benchmarks report progress in code repair and autonomous experimentation. However, these evaluations typically assume a pre-configured execution environment, which requires resolving complex software dependencies, aligning hardware and framework versions, and configuring distributed execution, yet this capability remains largely unbenchmarked. We introduce ResearchEnvBench, a benchmark for environment synthesi",
  "authors": "Yubang Wang, Chenxi Zhang, Bowen Chen, Zezheng Huai, Zihao Dai, Xinchi Chen et al.",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-06T08:29:08.000Z",
  "fetched_at": "2026-07-14T16:33:21.049Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/7614",
  "original_url": "https://arxiv.org/abs/2603.06739v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}