Working paper introduces a framework for document coordination and reference in evolving AI systems.
This working paper introduces ARI in the AGI era as a post-cloud infrastructure framework aligned around three naming layers: ARI, ACHEUL, and BIFACE. ARI denotes the external representative post-cloud infrastructure framework for preserving, referencing, and coordinating documents, outputs, roles, records, structural references, and external reference units. ACHEUL denotes a value-refinement layer for raw or unstructured outputs, inspired by the Acheulean handaxe represented by the Jeongok-ri handaxe. BIFACE denotes an SCD-based bifacial correspondence structure in which human-perceivable surfaces and AI+AGI-referable coordinate layers coexist. The paper does not treat ARI as an execution engine, storage-execution system, approval system, decision system, settlement system, or legal-confirmation mechanism. It does not treat ACHEUL as a value-calculation or economic-value confirmation system. It does not treat BIFACE as a replacement for human discretion, authorization, approval, consent, execution, settlement, or legal confirmation. This working paper is Paper 5 of the AGI Structural Alignment Series. This record provides the Expanded Final Publication Edition v3.0 of Paper 5 in the Structural Paper Series under the Research Program on Deterministic Infrastructure and Human-Centered AI Coordination. This version includes unified publication front matter, expanded academic structure, strengthened non-substitution boundaries, and broader cross-domain applicability.
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