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.
Building similarity graph...
Analyzing shared references across papers
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ARKADIUSZ LEJSZO
Building similarity graph...
Analyzing shared references across papers
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ARKADIUSZ LEJSZO (Sat,) studied this question.
www.synapsesocial.com/papers/69b79fc18166e15b153ac4ea — DOI: https://doi.org/10.5281/zenodo.18674965