Paper 1 — BIFACE-Based Sentence Coordinate Documents: Human-Readable Surfaces and AI+AGI-Referable Coordinates Across Documents, Code, Media, and Conversations

This working paper introduces BIFACE-Based Sentence Coordinate Documents (SCD) as a non-executable structural framework for making human-readable and human-perceivable outputs simultaneously referable by AI+AGI systems. The paper defines SCD/BIFACE as a coordinate-reference structure in which human-readable surfaces and AI+AGI-referable coordinate layers coexist across documents, office-like outputs, code artifacts, image regions, video scenes, subtitles, voice segments, conversational utterances, review artifacts, and revision instructions. The framework does not treat SCD or BIFACE as a storage system, execution system, approval system, consent system, judgment system, legal-effect system, settlement system, evidence-confirmation system, or AI/AGI decision system. It provides a coordinate-reference grammar for later papers in the AGI Structural Alignment Series. This working paper is Paper 1 of the AGI Structural Alignment Series.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-21
DOI
https://doi.org/10.5281/zenodo.20322708
Citations
6
Primary Topic
Multimodal Machine Learning Applications
Type
article
Field-Weighted Citation Impact
137.11
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Paper 1 — BIFACE-Based Sentence Coordinate Documents: Human-Readable Surfaces and AI+AGI-Referable Coordinates Across Documents, Code, Media, and Conversations

The First Waters
6 citations
Zenodo (CERN European Organization for Nuclear Research)
Multimodal Machine Learning Applications
137.11
article

Paper 1 — BIFACE-Based Sentence Coordinate Documents: Human-Readable Surfaces and AI+AGI-Referable Coordinates Across Documents, Code, Media, and Conversations

The First Waters
article en
6 citations

Abstract

This working paper introduces BIFACE-Based Sentence Coordinate Documents (SCD) as a non-executable structural framework for making human-readable and human-perceivable outputs simultaneously referable by AI+AGI systems. The paper defines SCD/BIFACE as a coordinate-reference structure in which human-readable surfaces and AI+AGI-referable coordinate layers coexist across documents, office-like outputs, code artifacts, image regions, video scenes, subtitles, voice segments, conversational utterances, review artifacts, and revision instructions. The framework does not treat SCD or BIFACE as a storage system, execution system, approval system, consent system, judgment system, legal-effect system, settlement system, evidence-confirmation system, or AI/AGI decision system. It provides a coordinate-reference grammar for later papers in the AGI Structural Alignment Series. This working paper is Paper 1 of the AGI Structural Alignment Series.

Zenodo (CERN European Organization for Nuclear Research)
Building Research Institute (JP)
Peace, Justice and strong institutions
Openalex Percentile: Top 0%
Multimodal Machine Learning Applications
137.11
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