Explanation

How to interpret validation results, graph visibility, recursive shapes, evidence, and experimental repair candidates.

Validation interfaces	Choose structured application findings or an RDF validation report.
Shapes graphs and data graphs	The distinction between the shapes graph and the data graph, and the triples visible during evaluation, including how graph_mode affects target selection and constraints.
Recursive shapes	How Shifty handles cyclic shape references, why validation and inference use different fixed points, and which schemas are rejected.
Understanding evidence	Read passing and failing evaluations and understand their limits.
Evidence performance	Choose an evidence entry point and avoid unnecessary work.
Choosing repair candidates	Experimental. Fill repair templates and validate candidate edits.