{
  "id": 4019,
  "url": "https://arxiv.org/abs/2605.19826v1",
  "title": "Explainable Wastewater Digital Twins: Adaptive Context-Conditioned Structured Simulators with Self-Falsifying Decision Support",
  "summary": "Operators of safety-critical industrial processes increasingly rely on digital twins to screen control interventions, but such simulators rarely carry certified safety guarantees. Wastewater treatment plants exemplify the gap: operators face a daily safety-efficiency trade-off where aerating too little risks effluent violations and nitrous-oxide (N2O) spikes, and aerating too much wastes energy. We develop an explainable digital twin for aeration and dosing setpoints. CCSS-IX, the simulator, is ",
  "authors": "Gary Simethy, Daniel Ortiz Arroyo, Petar Durdevic",
  "category": "research",
  "topics": "transparency,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-19T13:19:27.000Z",
  "fetched_at": "2026-07-14T16:30:41.582Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4019",
  "original_url": "https://arxiv.org/abs/2605.19826v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}