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The author added Conformal Risk Control to a semantic cache verifier for provable error rate guarantees, but discovered in online simulations that the cache's own decisions can break the exchangeability assumption, increasing realized error rates.
The paper introduces DRACP, a conformal prediction method that unifies multiple adaptation mechanisms for reliable economic forecast intervals under distribution shifts, achieving calibration with wider intervals.