How do you handle coverage guarantees from split conformal prediction when the data shifts? [D]

Split conformal prediction gives you a clean statement: with a calibration set exchangeable with future data, your prediction sets cover the true label at the rate you chose. The trouble is that production data rarely stays exchangeable. Categories get added, ticket wording changes, and a calibratio