Structural Encoding of Information

This technical note presents a framework for encoding information through distributed relational constraints within a carrier signal. Rather than assigning the message to identifiable local values, the proposed method makes it recoverable from joint relations among multiple signal components, according to a structural key defining the partition, constraint graph, observables, and decoding rule. The framework formalizes the intended separation between weak local information and reliable global readability. It introduces measurable criteria for local leakage, decoding accuracy, statistical detectability, robustness to noise or partial erasure, and synchronization cost. The method may be applied to analog or digital signals and investigated for distributed watermarking, integrity verification, covert transmission, and relational memory architectures. The underlying principle is related to established techniques such as linear codes, secret sharing, spread-spectrum watermarking, and statistical steganography. The possible contribution therefore lies not in claiming that globally distributed information is itself new, but in developing a programmable relational architecture and testing whether it provides a measurable advantage over existing methods. No independent cryptographic security is claimed. When confidentiality is required, the structural encoding should be combined with standard encryption. This document establishes a technically testable framework, identifies its limitations, and defines the experiments required to assess its originality and practical usefulness.