What is point-in-time correctness, and how do you avoid leakage in continuous retraining?

The bug that makes offline metrics a lie: training on information that didn't exist at prediction time. A concrete fraud example with timestamps, the as-of join that fixes it, and the label-maturity trap automated retraining adds on top.

Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.