Representative Artifact Sampling is a systematic method within the broader category of artifact selection techniques that identifies and selects artifacts—such as models, datasets, or metrics—based on their ability to reflect the central characteristics, distribution, or diversity of a larger artifact population, thereby ensuring validity and generalizability in empirical analysis.