{"id":4484,"date":"2026-09-12T08:25:31","date_gmt":"2026-09-12T15:25:31","guid":{"rendered":"https:\/\/coherencegeometry.com\/?p=4484"},"modified":"2026-09-12T08:32:24","modified_gmt":"2026-09-12T15:32:24","slug":"ged-bridge","status":"publish","type":"post","link":"https:\/\/coherencegeometry.com\/index.php\/2026\/09\/12\/ged-bridge\/","title":{"rendered":"Geometric Encoding and Decoding in Coherence Geometry: A Unified Framework for Transmission, Storage, Inference, Learning, and Control"},"content":{"rendered":"\n

Internal ID:<\/strong> CGI-RSR-000038
Author(s):<\/strong> Barry L. Petersen
Document Type:<\/strong> Research Paper
Publication Date:<\/strong> September 12, 2026
Original Creation Date:<\/strong> March 26, 2026
Revised Document Date:<\/strong> September 12, 2026
Status:<\/strong> Public
Domains:<\/strong> Information, General
Sub-Domain:<\/strong> Coherence-Geometric Information Processing \/ Operational Structure
Research Topics:<\/strong> Geometric Encoding and Decoding, CGIS, CDIS, CDIT, CDIR, Coherence-Directed Recovery, Information Storage, Information Transmission, Inference, Learning, Control<\/p>\n\n\n\n

Abstract<\/h3>\n\n\n\n

We introduce Geometric Encoding and Decoding (GED)<\/em> as a general operational paradigm within the Coherence-Geometric Information Substrate (CGIS). Building on the pre-symbolic treatment of information developed in earlier work, GED distinguishes the preparation of an information-bearing coherence-compatible state, its persistence or propagation under perturbation, and subsequent recovery through coherence-directed dynamics.<\/p>\n\n\n\n

In this framework, encoding maps information into a structured configuration within a constrained phase\u2013amplitude state space. Decoding corresponds more generally to coherence recovery<\/em>: the evolution of a perturbed or incomplete state toward a configuration compatible with the governing coherence geometry. Where the landscape contains distinct stable attractors, this process takes the more specific form of basin recovery; in continuously parameterized regimes, recovery may instead restore coherence constraints while preserving continuous informational degrees of freedom.<\/p>\n\n\n\n

Three fundamental informational roles recur within GED: Coherence-Driven Information Storage (CDIS), describing persistence of structured information; Coherence-Driven Information Transmission (CDIT), describing propagation across channels or domains; and Coherence-Driven Inference and Recovery (CDIR), describing recovery of perturbed or incomplete configurations. These roles are informational expressions of the broader triadic organization of coherence-governed systems. Learning may reshape the coherence landscape in which these roles operate, while control may bias or steer the associated dynamics.<\/p>\n\n\n\n

Symbolic and statistical representations may be introduced through projection, discretization, or other forms of abstraction, but are not required for the underlying geometric operations. By separating coherence-governed representation and recovery from subsequent projection, GED provides a common operational language linking the CGIS substrate to concrete applications in transmission, storage, inference, learning, and control.<\/p>\n\n\n\n

Available Document<\/h3>\n\n\n\n

DOI:<\/strong> 10.5281\/zenodo.22725172<\/a><\/code><\/p>\n\n\n\n

Citation:<\/strong>
Petersen, B. L. (2026). Geometric Encoding and Decoding in Coherence Geometry: A Unified Framework for Transmission, Storage, Inference, Learning, and Control (Version 1.0). Zenodo.\u00a0https:\/\/doi.org\/10.5281\/zenodo.22725172<\/a><\/p>\n\n\n\n

Source Code and Supporting Materials<\/h3>\n\n\n\n

No source code is required for this conceptual and structural research paper.<\/p>\n\n\n\n

Primary file:<\/strong>
Geometric_Encoding_Decoding_260912.pdf<\/code><\/p>\n\n\n\n

Version 1.0 archival research paper.<\/p>\n\n\n\n

A README file accompanying the Zenodo deposit records document provenance, scope, citation information, and archival metadata.<\/p>\n\n\n\n

Summary and Notes<\/h3>\n\n\n\n

Scope:<\/strong>

This paper develops Geometric Encoding and Decoding (GED) as a general operational description for information processes within the Coherence-Geometric Information Substrate (CGIS).<\/p>\n\n\n\n

GED organizes three principal informational roles:<\/p>\n\n\n\n