About this archive. An empirical reference companion to the six-domain framework for clinician AI literacy. Cases are tagged against use-types, attributed roles, functional shifts, risk mechanisms, and output patterns derived from the framework, allowing cross-referencing across documented presentations. Inclusion does not imply endorsement of source claims. The Evidence quality tag indicates how much weight a given entry can bear: peer-reviewed clinical detail is the strongest, single-source or family-reported the most provisional. Risk-mechanism tagging frequently reflects framework application rather than language used in the original source; see each entry's clinical reasoning for the named-versus-inferred distinction.