{
  "id": 5743,
  "url": "https://arxiv.org/abs/2604.15740v1",
  "title": "Evidence Sufficiency Under Delayed Ground Truth: Proxy Monitoring for Risk Decision Systems",
  "summary": "Machine learning systems in fraud detection, credit scoring, and clinical risk assessment operate under delayed ground truth: outcome labels arrive days to months after the decision they evaluate. During this blind period, governance evidence degrades through mechanisms that neither drift detection methods nor governance frameworks adequately address. This paper formalizes an evidence sufficiency model with four dimensions (completeness, freshness, reliability, representativeness) and a decision",
  "authors": "Oleg Solozobov",
  "category": "research",
  "topics": "regulation,healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-17T06:30:11.000Z",
  "fetched_at": "2026-07-14T16:31:57.535Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5743",
  "original_url": "https://arxiv.org/abs/2604.15740v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}