Keywords
finance
health
Abstract
This review examines auditable latent models across financial and molecular networks through an evidence-centered design lens. The analysis asks what records are needed to contest or reproduce a model output. It treats the relevant unit as a complete pathway from data or physical observations to representation, model output, human interpretation, and accountable action. The cited literature is synthesized without inventing experiments or unreported performance values. Particular attention is given to hidden coupling among data shift, thresholds, and oversight. The review argues that credible translation requires explicit evidence boundaries, uncertainty-aware evaluation, author-visible traceability, and a documented route for intervention. The resulting framework supports regulated and biomedical analytics while distinguishing component promise from system readiness.
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