DAISS: Sovereign AI Protocol — Structural Diagrams and Maps (Supplementary Materials)

This record contains two distinct components, each serving a different role within the DAISS node architecture. 1. abstract.pdf — Human-facing entry node This document is designed as an accessible introduction for human readers. It is optimized for sharing on social platforms such as LinkedIn and X, and functions as the conceptual entry point into the node. It provides narrative context and a lightweight overview of the subsystem. 2. Asset ZIP — Structural node archive This archive contains the full structural materials associated with the node, including SVG and Mermaid (.mmd) source files, as well as derived PDF outputs. It serves as the canonical reference set for downstream nodes, and is intended for long-term preservation, reproducibility, and structural reuse. This archive represents the structural core of the DAISS node. Within DAISS, these two layers are intentionally separated. The abstract captures attention and guides human interpretation, while the ZIP archive anchors the node within the distributed knowledge graph as a durable, machine-readable structure. This separation ensures clarity of purpose, modularity, and long-term interoperability across the DAISS ecosystem.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-14
DOI
https://doi.org/10.5281/zenodo.18238448
Primary Topic
Artificial Intelligence Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

DAISS: Sovereign AI Protocol — Structural Diagrams and Maps (Supplementary Materials)

Yuji Marutani
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence Applications
article

DAISS: Sovereign AI Protocol — Structural Diagrams and Maps (Supplementary Materials)

Yuji Marutani
article en

Abstract

This record contains two distinct components, each serving a different role within the DAISS node architecture. 1. abstract.pdf — Human-facing entry node This document is designed as an accessible introduction for human readers. It is optimized for sharing on social platforms such as LinkedIn and X, and functions as the conceptual entry point into the node. It provides narrative context and a lightweight overview of the subsystem. 2. Asset ZIP — Structural node archive This archive contains the full structural materials associated with the node, including SVG and Mermaid (.mmd) source files, as well as derived PDF outputs. It serves as the canonical reference set for downstream nodes, and is intended for long-term preservation, reproducibility, and structural reuse. This archive represents the structural core of the DAISS node. Within DAISS, these two layers are intentionally separated. The abstract captures attention and guides human interpretation, while the ZIP archive anchors the node within the distributed knowledge graph as a durable, machine-readable structure. This separation ensures clarity of purpose, modularity, and long-term interoperability across the DAISS ecosystem.

Zenodo (CERN European Organization for Nuclear Research)
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Artificial Intelligence Applications
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DAISS: Sovereign AI Protocol — Structural Diagrams and Maps (Supplementary Materials) — Yuji Marutani · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS