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This paper introduces Narrative Anchoring, a failure mode where clinical language models produce divergent diagnoses when identical clinical facts are expressed in different sociolinguistic registers. The authors release a USMLE-derived dataset and propose NarrativeShield, a three-agent pipeline that reduces the anchoring gap to near-zero.