STATUS: Preprint complete | arXiv submission in progress
THE PAPER
Title: Dimensional Intelligence Expansion: Self-Replicating
Peer-to-Peer Agent Meshes as a Tetration-Class Alternative
to Centralised Quantum Scaling
Author: Chung Huang Chew (r4all)
Version: 1.0 | April 2026
Category: cs.AI (Artificial Intelligence)
ACCESS THE PREPRINT
Zenodo DOI: 10.5281/zenodo.19888889
URL: https://zenodo.org/records/19888889
arXiv: cs.AI submission in progress
GitHub: github.com/dbtcs1/die-framework
PROVENANCE CHAIN
Bitcoin inscription (conceptual origin):
7ef05490f16da89aa156f2d37ef780826bc51347b116f89c955691f535b1cf73i0
https://uniscan.cc/inscription/7ef05490f16da89aa156f2d37ef780826bc51347b116f89c955691f535b1cf73i0
Zenodo archive: https://zenodo.org/records/19888889
arXiv timestamp: pending
Git history: github.com/dbtcs1/die-framework
Established: 2026-04-30
CITATION
Chew, C.H. (2026). Dimensional Intelligence Expansion:
Self-Replicating Peer-to-Peer Agent Meshes as a
Tetration-Class Alternative to Centralised Quantum Scaling.
Zenodo. https://doi.org/10.5281/zenodo.19888889