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Pretrained scientific foundation models can overcome massive chemical and instrumentation shifts entirely at test-time by using reference-guided retrieval to recalibrate latent predictions on the fly without query supervision.
Most single-cell perturbation models only appear accurate because they memorize generic background responses—their benchmark scores remain high even when gene labels are completely shuffled.