Paper IUT-C — Communicating Without Mixing

Paper IUT-C v1.10 is the revised main paper of the IUT-C series, published in Japanese and English together with its accompanying figures and appendices. It presents, as an operational description within Dualbind, the design judgment of communicating between distinct universes without mixing them, in structural correspondence with IUT. This record contains the main paper, its accompanying figures, and the companion appendices BND, CMP, DLG, PHS, and SRE. Appendix GLS is published as a separate companion record and is referenced from this paper. Appendix IUT-BND is also published separately as an independent boundary-focused paper. Contact: [email protected] License: CC BY 4.0

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-14
DOI
https://doi.org/10.5281/zenodo.18835419
Primary Topic
Mathematics, Computing, and Information Processing
Type
article
Field-Weighted Citation Impact
0.00
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Paper IUT-C — Communicating Without Mixing

Keiji Sakamoto
Zenodo (CERN European Organization for Nuclear Research)
Mathematics, Computing, and Information Processing
article

Paper IUT-C — Communicating Without Mixing

Keiji Sakamoto
article en

Abstract

Paper IUT-C v1.10 is the revised main paper of the IUT-C series, published in Japanese and English together with its accompanying figures and appendices. It presents, as an operational description within Dualbind, the design judgment of communicating between distinct universes without mixing them, in structural correspondence with IUT. This record contains the main paper, its accompanying figures, and the companion appendices BND, CMP, DLG, PHS, and SRE. Appendix GLS is published as a separate companion record and is referenced from this paper. Appendix IUT-BND is also published separately as an independent boundary-focused paper. Contact: [email protected] License: CC BY 4.0

Zenodo (CERN European Organization for Nuclear Research)
Cabinet Office (JP)
Quality Education
Openalex Percentile: Top 52%
Mathematics, Computing, and Information Processing
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