
CHDT-Ω (Constitutional Human Digital Twin Ω) is introduced here as a public PIOR-ART category record establishing a citation-ready, date-stamped and disclosure-disciplined anchor for a new class of constitutional AI and human digital twin systems. This record does not disclose implementation-sensitive internals. Instead, it provides a controlled public layer designed for citability, continuity and institutional traceability. The package includes: a public abstract and manifesto, a public glossary, a multilingual language layer (PL / EN / 简体中文), selected high-level figures, a high-level architecture note, a release note with version and date, and citation-ready metadata prepared for a DOI-based public record. The purpose of this release is to establish a stable public category anchor for CHDT-Ω and its PIOR-ART framing, while preserving disclosure discipline and maintaining a safe bridge between public visibility and deeper controlled layers of review, partnership and due diligence. This record should be read as a public category-layer publication: category-safe, implementation-safe and filing-safe. It is intended to support traceability for investors, editorial contexts, strategic partners, keynote references, media citations and continuity across future public releases.
Release note — Version 1.0.0 — 2026-03-14Initial public PIOR-ART category record for CHDT-Ω.This release establishes the first public, citation-ready Zenodo layer for the category and provides a dated continuity anchor composed of a public abstract/manifesto, public glossary, multilingual language layer, selected high-level figures, architecture note, and metadata layer prepared for scholarly and institutional citation.
Institutional value noteThis public record is intended to function as a lightweight but premium public anchor for investors, media, keynote references, decks and strategic partners who require visible continuity, citability and traceability without exposure to implementation-sensitive internal layers. It is designed as a safe bridge between a public landing layer and further controlled disclosure layers.
Constitutional Human Digital Twin, TSVNE, public category record, public continuity, digital twin, PIOR-ART, CHDT-Ω, citability, disclosure discipline, institutional traceability, constitutional AI, Zenodo
Constitutional Human Digital Twin, TSVNE, public category record, public continuity, digital twin, PIOR-ART, CHDT-Ω, citability, disclosure discipline, institutional traceability, constitutional AI, Zenodo
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
