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Moving beyond fiat-based: A tensor-network model for resource-abundance

TribeWarez released REALMS, a theoretical physics manuscript proposing a tensor-network model linking Planck-scale physics, consciousness, and spacetime. The open-access work, submitted to Open Science Journal, includes English and German versions with build scripts for PDF and DOCX. The project also features experimental quantum computing tooling and a DeFi layer called FreeFi for permissionless tensor-backed liquidity pools.

read2 min views1 publishedJun 21, 2026
Moving beyond fiat-based: A tensor-network model for resource-abundance
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REALMS (Realm-based Emergent Architecture for Localized Manifestation Spaces) is a theoretical physics manuscript exploring an operational framework that links the Planck scale, the observer as receiver/emitter of information, consciousness as a translation layer (API), and an information-theoretic foundation of spacetime.

Developed bilingually (English / German). Builds to PDF and DOCX for open-access journal submission (e.g. Open Science Journal).

Path Contents
markdown/
Manuscript source (Markdown). English: Parts I–IV, preface, TOC, keyword index, OSJ variant, OSJ checklist.
markdown/de/
German translations — mirrors English structure.
scripts/
Build and export shell scripts. Run from repository root.
dist/
Build output — PDFs and DOCX files (committed).
agents/
Agent hub registration and MOTHUB protocol.
assets/
Cover artwork and images.
.github/workflows/
CI: build-release.yml — builds all artifacts on tag push (v* ).

PDF build:pandoc+TeX Live(pdflatex

).

Debian/Ubuntu:sudo ./scripts/install-pandoc-deps.sh --recommended

DOCX export: pandoc only.

./scripts/build-pdf.sh              # → dist/manuscript.pdf (English)
./scripts/build-pdf-de.sh           # → dist/manuscript-de.pdf (German)
./scripts/build-pdf-ja.sh           # → dist/manuscript-ja.pdf (Japanese)
./scripts/build-pdf-theoretische.sh # → dist/theoretische-grundlagen.pdf
./scripts/export-OSJ-docx.sh        # → dist/manuscript-OSJ.docx (English, OSJ format)
./scripts/export-OSJ-docx-de.sh     # → dist/manuscript-OSJ-de.docx (German, OSJ format)

All scripts require bash

(WSL / Git Bash on Windows). Run from the repository root.

Part I— Planck as the realm of the current observer: definitions, postulates, proof/refutation scope. (markdown/REALMS.md

)Part II— API manipulation and wavelength–perception hypothesis. (markdown/REALMS-API-Manipulation.md

)Part III— Materialization thesis: perceptual materialization, photon storage, quantum interference. (markdown/REALMS-Materialization-Thesis.md

)Part IV— Information-theoretic foundation of spacetime: tensor networks, entanglement–geometry, emergent gravity, Standard Model emergence. (markdown/REALMS-Information-Spacetime.md

)

The combined manuscript (preface + Parts I–IV + keyword index) is assembled by build-pdf.sh

.

markdown/manuscript-OSJ.md

is a flattened variant (≤3 heading levels, no footnotes, Vancouver references) for OSJ submission — see markdown/README-OSJ.md

.

Experimental tooling for Part IV (tensor networks, Qiskit circuits, quimb) lives in a separate repository:

** TribeWarez/pot-o-ch7-cluster** — Docker + Jupyter + Qiskit + synthetic challenge generators.

Collection:— overview of all models, datasets, and spacesTribewarez/pot-o-pathfinder-tiny

Model:— tensor-pathfinder for PoT-O challenge validationTribewarez/pot-o-pathfinder-tiny-v1

Dataset:— synthetic challenges for Chapter 7Tribewarez/synthetic-pot-o-challenges-ch7-v1

Dataset:— full synthetic challenge corpusTribewarez/synthetic-pot-o-challenges-v1

FreeFi (Freedom Finance) components form the DeFi layer of the TribeWarez stack — permissionless tensor-backed liquidity pools, proof-of-tensor mining rewards, and cross-chain bridge primitives. Integration examples and testnet deployment are available in the companion devkit repository.

Endpoint Purpose
realms.tribewarez.com

realms.tribewarez.com/agent-hub.html

realms.tribewarez.com/agent-signup.html

See agents/MOTHUB.md for the full protocol specification.

This work is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

Copyright © 2026 TribeWarez.

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