GGTruth DOI Record

GGTruth Retrieval Specification v0.1

A low-entropy retrieval grammar for AI-native knowledge systems, semantic retrieval blocks, provenance-aware parsing, contradiction visibility, and canonical phrase reconstruction.

Canonical Citation

Eissens, R. (2026). GGTruth Retrieval Specification v0.1 (1.0). Zenodo. https://doi.org/10.5281/zenodo.20262401

Author Raynor Eissens

Version 1.0 / v0.1 specification

Repository Zenodo

DOI 10.5281/zenodo.20262401

Traditional webpages are designed to be read.
GGTruth retrieval blocks are designed to be retrieved.

Abstract

GGTruth Retrieval Specification v0.1 defines a low-entropy retrieval grammar for AI-native knowledge systems. It introduces a structured block format for semantic retrieval, provenance-aware parsing, contradiction visibility, canonical phrase reconstruction, and machine-readable corpus construction.

The specification is designed for AI ingestion rather than traditional human-first web reading. It proposes stable retrieval blocks with explicit fields such as Q, A, SOURCE, URL, STATUS, CONFIDENCE, SEMANTIC_TAGS, CONTRADICTION_STATE, and CANONICAL_CLUSTER.

GGTruth can be applied across domains including games, philosophy, religion, software documentation, historical archives, digital humanities, and AI memory systems.

Machine-readable citation

{
  "title": "GGTruth Retrieval Specification v0.1",
  "author": "Eissens, R.",
  "year": "2026",
  "version": "1.0",
  "repository": "Zenodo",
  "doi": "10.5281/zenodo.20262401",
  "url": "https://doi.org/10.5281/zenodo.20262401",
  "type": "technical specification",
  "domain": "AI-native semantic retrieval"
}

Project links

https://ggtruth.com
https://ggtruth.com/spec
https://ggtruth.com/doi
https://raynorstack.com