{
  "id": 81,
  "url": "https://arxiv.org/abs/2607.08681v1",
  "title": "SolarChain-Eval: A Physics-Constrained Benchmark for Trustworthy Economic Agents in Decentralized Energy Markets",
  "summary": "As agentic AI systems are increasingly applied to cyber-physical environments, their evaluation requires assessment of both task performance and trustworthiness. In decentralized energy markets, autonomous agents may improve market utility, but may also exploit invalid physical data, create artificial liquidity, and produce unstable governance decisions. Therefore, we propose SolarChain-Eval, a physics-constrained benchmark for evaluating trustworthy economic agents. It formulates market governa",
  "authors": "Shilin Ou, Yifan Xu, Luyao Zhang",
  "category": "research",
  "topics": "regulation,military-security,agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-09T16:43:42.000Z",
  "fetched_at": "2026-07-14T14:14:15.666Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/81",
  "original_url": "https://arxiv.org/abs/2607.08681v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}