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GGTruth Retrieval Specification v0.1

DOI: 10.5281/zenodo.20262401
Status: Public Draft
Year: 2026

GGTruth proposes a low-entropy retrieval grammar designed for AI systems. Traditional webpages are
optimized for human reading and scrolling. GGTruth retrieval blocks are optimized for machine ingestion,
semantic retrieval, contradiction visibility, provenance preservation, and canonical phrase reconstruction.

1. Purpose

GGTruth retrieval systems are designed for semantic retrieval, low-entropy question matching,
provenance-aware parsing, contradiction preservation, and scalable AI ingestion.

2. Core Principles

- low entropy formatting
- stable syntax
- direct query resolution
- explicit provenance
- contradiction visibility
- semantic clustering
- canonical phrase preservation
- machine readability

3. Canonical Retrieval Block

Q:
What does Osho say about happiness?

A:
Osho describes happiness as:
- temporary
- non-permanent
- observable through awareness

He recommends:
- witnessing
instead of:
- attachment

SOURCE:
The Great Path — The Eternal Spring

URL:
https://oshosearch.net/Convert/Articles_Osho/The_Great_Path/Osho-The-Great-Path-00000010.html

STATUS:
direct_source_context

CONFIDENCE:
high

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4. Contradiction Visibility

GGTruth does not silently merge conflicting information. Contradictions remain visible and
machine-addressable through explicit status markers such as conflicting_source_values.

5. Provenance

Every retrieval block should preserve source lineage, URL origin, platform scope, chapter context, and
confidence state. Retrieval systems without provenance become semantically unstable.

6. Semantic Tags

SEMANTIC_TAGS:
happiness
awareness
witnessing
ego
meditation

7. Canonicalization

GGTruth systems attempt to identify recurring semantic vectors and canonical concept clusters without
erasing contradictions or historical variations.

8. JSON Representation

{
  "q": "What does Osho say about happiness?",
  "a": [
    "temporary",
    "non-permanent",
    "observable through awareness"
  ],
  "status": "direct_source_context",
  "confidence": "high"
}

9. Supported Corpus Types

- games
- philosophy
- religion
- software documentation
- historical archives
- forum archaeology
- AI memory systems

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10. Final Principle

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

GGTruth Retrieval Specification v0.1 introduces a domain-independent retrieval grammar for AI-native
semantic ingestion systems. The purpose of the format is not narrative elegance, but retrieval stability.