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.
Authors
- The First Waters
Institutions
- Building Research Institute (JP)
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