A Minimal Identity Model for Autonomous Physical Cells

This specification-only design and position paper presents the five-field Physical Cell Identity Model defined by ACP-0001: cell_id, profile, instance_id, lifecycle, and identity_binding. It separates physical-cell identity from ecosystem registration, digital-agent identity, capability, trust, permission, and execution evidence. The paper has not undergone external peer review and does not report a runtime implementation, Schema migration, interoperability result, security validation, physical deployment, empirical superiority, or independent external validation. Protocol source: https://doi.org/10.5281/zenodo.21442282.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-22
DOI
https://doi.org/10.5281/zenodo.21480101
Primary Topic
Gene Regulatory Network Analysis
Type
preprint
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preprint

A Minimal Identity Model for Autonomous Physical Cells

Xiaojuan Sun, Bin Zhang
Zenodo (CERN European Organization for Nuclear Research)
Gene Regulatory Network Analysis
preprint

A Minimal Identity Model for Autonomous Physical Cells

Xiaojuan Sun, Bin Zhang
preprint en

Abstract

This specification-only design and position paper presents the five-field Physical Cell Identity Model defined by ACP-0001: cell_id, profile, instance_id, lifecycle, and identity_binding. It separates physical-cell identity from ecosystem registration, digital-agent identity, capability, trust, permission, and execution evidence. The paper has not undergone external peer review and does not report a runtime implementation, Schema migration, interoperability result, security validation, physical deployment, empirical superiority, or independent external validation. Protocol source: https://doi.org/10.5281/zenodo.21442282.

Zenodo (CERN European Organization for Nuclear Research)
Yuncheng University (CN), Department of Commerce (AU)
Gene Regulatory Network Analysis
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