RSRP, by breaking down complex interpretation tasks into manageable modules, aims to systematize the interpretive process and make it more intersubjectively verifiable. This aligns with "train-of-thought prompting" and leverages the collaborative intelligence of human-AI interaction to generate nuanced, contextually grounded interpretations. Source: Lieder & Schäffer (2025), p. 10.