[
  {
    "id": "S1",
    "title": "Production AI engineering: drift and retraining",
    "url": "https://pharosproduction.com/insights/engineering/state-of-production-ai-engineering-2026/",
    "scope": "Seed taxonomy and published instrumentation method only. Industry percentages and superlatives excluded.",
    "checked": "2026-09-08"
  },
  {
    "id": "S2",
    "title": "AWS: detecting drift in production applications",
    "url": "https://docs.aws.amazon.com/prescriptive-guidance/latest/gen-ai-lifecycle-operational-excellence/prod-monitoring-drift.html",
    "scope": "Data/concept distinction, reference samples and investigation after a drift signal.",
    "checked": "2026-09-08"
  },
  {
    "id": "S3",
    "title": "Evidently: data drift",
    "url": "https://docs.evidentlyai.com/metrics/explainer_drift",
    "scope": "Reference/current datasets, method dependence and separate null-rate checks.",
    "checked": "2026-09-08"
  },
  {
    "id": "S4",
    "title": "Arize: drift tracing",
    "url": "https://arize.com/docs/ax/machine-learning/machine-learning/how-to-ml/drift-tracing",
    "scope": "Reference selection, comparison of production periods and delayed ground-truth labels.",
    "checked": "2026-09-08"
  },
  {
    "id": "S5",
    "title": "OpenTelemetry GenAI conventions",
    "url": "https://github.com/open-telemetry/semantic-conventions-genai/tree/b5d8440f6f126738fd50f927752cd669772c517b/docs/gen-ai",
    "scope": "Current documentation repository, pinned at source check. Individual conventions have their own stability status.",
    "checked": "2026-09-08"
  },
  {
    "id": "S6",
    "title": "Evidently: monitoring overview",
    "url": "https://docs.evidentlyai.com/docs/platform/monitoring_overview",
    "scope": "Batch evaluation and monitoring pipelines.",
    "checked": "2026-09-08"
  },
  {
    "id": "S7",
    "title": "Pharos company homepage",
    "url": "https://pharosproduction.com",
    "scope": "Publisher identity and canonical company destination.",
    "checked": "2026-09-08"
  }
]