This paper introduces RS, a minimal operator loop—Orientation, Attractor, Distortion, Collapse, Reorientation—that functions as a domain‑general reasoning scaffold for large language models. RS does not modify model internals, add external reasoning modules, or simulate cognition. Instead, it supplies a fixed causal sequence that constrains the model’s generative behavior, eliminating drift and producing coherent, reasoning‑shaped output from an unmodified LLM. The method is safe, simple, and universal: it reduces degrees of freedom, prevents associative expansion, and organizes the model’s existing knowledge into a stable diagnostic arc. RS demonstrates that coherence in generative systems arises not from increased computation but from minimal architecture. The paper presents the operator set, explains why it prevents drift, outlines its limitations, and provides a first‑release RS sheet for practical use across domains.
Denis Bailey (Thu,) studied this question.