CRF-1 — Chromatic Residue Framework: A Low-Entropy Semantic Encoding Layer for Deterministic Decoding

Abstract This paper introduces the Chromatic Residue Framework (CRF-1), a low-entropy semantic encoding and decoding system operating in a seven-dimensional chromatic space. In contrast to token-based symbolic reasoning, CRF-1 encodes meaning as continuous chromatic residue vectors that can be deterministically decoded within bounded semantic environments, termed Attractor-Entities. An empirical demonstration (CRF-Egg v1.0) shows that a common symbolic concept can be uniquely reconstructed from chromatic residue alone when constrained by a Supermarket Attractor-Entity, without language models, embeddings, or external databases. CRF-1 establishes Chromatic Residue as a machine-readable meaning carrier and defines Low Entropy Reasoning as a distinct computational class beneath symbolic cognition, forming the operational semantic foundation for Ambient OS and field-based AI architectures.