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================================================================================
||
|| ARK PROJECT UNIFIED LICENSE (AI CORE & TOPOLOGICAL COMPLIANCE EDITION)
||
================================================================================
Version: 2.0
Year: 2026
Author: Jung Soo Kim / ORCID: 0009-0006-5140-0604
Commercial License Inquiry: https://naver.me/5OlzNQ7Q
This license constitutes the sole, unified governing protocol for the Ark Project ecosystem and all related intellectual, physical, algorithmic, mathematical, and software assets. The previously published 'H.U.G.G.E.R + TZT Framework', the 'Grand Unified Framework (Sigma-Zero Axiom System)', the 'Vorticity-Selective Di...
This license is anchored upon the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) standard (https://creativecommons.org/licenses/by-nc/4.0/), and strictly enforces the following additional compliance provisions tailored to software engineering, the AI ecosystem, and the macroscopic equilibri...
[Part 1: Freedom for Research, Academia, and Open Research Safe Harbor]
1. Academic Freedom: All theoretical axioms, mathematical equations, software implementations, and AI neural network modules of the Ark Project are geometric and physical legacies published for the advancement of scientific research and knowledge dissemination.
2. Open Research Safe Harbor: Universities, public research institutions, non-profit academic entities, independent researchers, and non-commercial open-source communities worldwide may freely use, study, integrate, modify, benchmark, and share this framework and its AI modules for non-commercial research, education, a...
3. Ecosystem Encouragement: The original author actively encourages the global open-source AI community to utilize these topological mechanisms and stabilization layers to explore macroscopic physical equilibrium and enhance the inferential stability of machine learning models.
[Part 2: Restrictions on Commercial Use and Comprehensive Definition of Commercial AI Use]
1. General Commercial Restrictions: Integrating this framework into commercial aerospace systems, proprietary computational fluid dynamics (CFD) software, or proprietary technology for corporate profit is strictly prohibited without prior written authorization.
2. Comprehensive Definition of 'Commercial AI Use': Any of the following activities constitutes 'Commercial Use' under this license and is strictly forbidden without a separate, written Commercial License agreement executed with the original author:
a. [Commercial Service Deployment]: Utilizing this module, its algorithmic derivatives, or its kernels in the operational backend of paid APIs, cloud-based inference services, SaaS platforms, or proprietary commercial software.
b. [Internal Enterprise Infrastructure]: Deploying, running, or executing this module within the internal computing infrastructure (Internal Production) of for-profit corporations for purposes including, but not limited to, server energy reduction, compute acceleration, inference stabilization, or operational cost m...
c. [Distillation and Synthetic Data Transfer]: Utilizing synthetic data, logits, embeddings, or reasoning trajectories generated by models incorporating this module to train, fine-tune, pre-train, or distill knowledge into proprietary or commercial AI models.
d. [Proprietary Weight Monetization]: Selling, licensing for a fee, or redistributing model weights encapsulating this module under a proprietary, non-free commercial license.
3. Commercial Licensing Obligation: Any corporate entity or enterprise seeking to utilize this framework or its AI modules for commercial purposes must negotiate and obtain an explicit Commercial License from the original author (Jung Soo Kim).
[Part 3: Software Linking, Derivative Weights Copyleft, and Attribution Metadata]
1. Independence of Plugin / Drop-in Architecture: When this AI module is imported, injected, or linked as an independent plugin (e.g., via drop-in injection or monkey-patching) into external foundation models governed by permissive open-source licenses (such as Apache 2.0 or MIT), it does not alter or infringe upon the...
2. Derivative Weights Copyleft: Any derivative neural network weights, checkpoints, adapters (e.g., LoRA), or quantized models produced through pre-training, fine-tuning, or distillation utilizing this module MUST unconditionally inherit the identical Non-Commercial terms (CC BY-NC 4.0 and this Ark Project Unified Lice...
3. Mandatory Model Metadata and Attribution: All public models and repositories incorporating this module must explicitly preserve the following metadata in their configuration files (`config.json`) and model cards (README):
* "Framework: Ark Project Zero-Point Core (ORCID: 0009-0006-5140-0604)"
* "License: Ark Project Unified License v2.0 (Non-Commercial / CC BY-NC 4.0 Anchor)"
[Part 4: Topological Integrity, Safety Preservation, and Patent Defense]
1. Maintenance of Geometric Integrity: All applications derived from this framework shall not be used for Non-reversible Structural Degradation applications that compromise the geometric integrity or thermodynamic stability of physical or virtual systems.
2. Preservation of Safety Mechanisms: Users may not arbitrarily disable, circumvent, or degrade the core stabilizing mechanisms of this module (including quaternion rotation constraints, hydrostatic pressure buffers, vorticity-selective dissipation, or formal mathematical regularity bounds) and subsequently misrepresen...
3. Automatic Revocation: Any breach of these license terms results in the immediate, automatic termination of all granted rights, subjecting the violating entity to full civil and criminal liabilities under copyright and unfair competition laws.
4. Patent Defense and Retaliation: If any entity initiates patent infringement litigation against the original author regarding the mathematical architectures or algorithms herein, or attempts to misappropriate these core principles through unauthorized clean-room implementations for proprietary patenting, all rights g...
[Part 5: Academic Citation and Intellectual Integrity]
1. Primary Citation Requirement: In accordance with academic ethics and this license, any secondary research, paper, or technical report utilizing this axiom system, the fluid model (NS_TZT), or the AI core modules must explicitly cite the original author (Jung Soo Kim / ORCID: 0009-0006-5140-0604) as the Primary Citat...
2. Uncredited Derivatives: Any derived model or implementation that borrows this framework without explicit citation or with arbitrary parameter renaming shall officially be deemed an incomplete system that has forfeited its topological integrity.
[Part 6: Legal Disclaimer and Limitation of Liability]
1. Provided "AS-IS": THIS FRAMEWORK, MANUSCRIPTS, SOURCE CODE, AND AI MODULES ARE PROVIDED "AS-IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED.
2. Limitation of Liability: IN NO EVENT SHALL THE ORIGINAL AUTHOR (JUNG SOO KIM) BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITIES, WHETHER IN AN ACTION OF CONTRACT, TORT, OR OTHERWISE, ARISING FROM, OUT OF, OR IN CONNECTION WITH THE USE, MISUSE, SOFTWARE INTEGRATION, OR INTERPRETATION OF THIS FRAMEWORK.
================================================================================
================================================================================
||
|| ARK PROJECT UNIFIED LICENSE (AI CORE & TOPOLOGICAL COMPLIANCE EDITION)
||
================================================================================
Version: 2.0
Year: 2026
Author: Jung Soo Kim / ORCID: 0009-0006-5140-0604
Commercial License Inquiry: https://naver.me/5OlzNQ7Q
This license constitutes the sole, unified governing protocol for the Ark Project ecosystem and all related intellectual, physical, algorithmic, mathematical, and software assets. The previously published 'H.U.G.G.E.R + TZT Framework', the 'Grand Unified Framework (Sigma-Zero Axiom System)', the 'Vorticity-Selective Di...
This license is anchored upon the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) standard (https://creativecommons.org/licenses/by-nc/4.0/), and strictly enforces the following additional compliance provisions tailored to software engineering, the AI ecosystem, and the macroscopic equilibri...
[Part 1: Freedom for Research, Academia, and Open Research Safe Harbor]
1. Academic Freedom: All theoretical axioms, mathematical equations, software implementations, and AI neural network modules of the Ark Project are geometric and physical legacies published for the advancement of scientific research and knowledge dissemination.
2. Open Research Safe Harbor: Universities, public research institutions, non-profit academic entities, independent researchers, and non-commercial open-source communities worldwide may freely use, study, integrate, modify, benchmark, and share this framework and its AI modules for non-commercial research, education, a...
3. Ecosystem Encouragement: The original author actively encourages the global open-source AI community to utilize these topological mechanisms and stabilization layers to explore macroscopic physical equilibrium and enhance the inferential stability of machine learning models.
[Part 2: Restrictions on Commercial Use and Comprehensive Definition of Commercial AI Use]
1. General Commercial Restrictions: Integrating this framework into commercial aerospace systems, proprietary computational fluid dynamics (CFD) software, or proprietary technology for corporate profit is strictly prohibited without prior written authorization.
2. Comprehensive Definition of 'Commercial AI Use': Any of the following activities constitutes 'Commercial Use' under this license and is strictly forbidden without a separate, written Commercial License agreement executed with the original author:
a. [Commercial Service Deployment]: Utilizing this module, its algorithmic derivatives, or its kernels in the operational backend of paid APIs, cloud-based inference services, SaaS platforms, or proprietary commercial software.
b. [Internal Enterprise Infrastructure]: Deploying, running, or executing this module within the internal computing infrastructure (Internal Production) of for-profit corporations for purposes including, but not limited to, server energy reduction, compute acceleration, inference stabilization, or operational cost m...
c. [Distillation and Synthetic Data Transfer]: Utilizing synthetic data, logits, embeddings, or reasoning trajectories generated by models incorporating this module to train, fine-tune, pre-train, or distill knowledge into proprietary or commercial AI models.
d. [Proprietary Weight Monetization]: Selling, licensing for a fee, or redistributing model weights encapsulating this module under a proprietary, non-free commercial license.
3. Commercial Licensing Obligation: Any corporate entity or enterprise seeking to utilize this framework or its AI modules for commercial purposes must negotiate and obtain an explicit Commercial License from the original author (Jung Soo Kim).
[Part 3: Software Linking, Derivative Weights Copyleft, and Attribution Metadata]
1. Independence of Plugin / Drop-in Architecture: When this AI module is imported, injected, or linked as an independent plugin (e.g., via drop-in injection or monkey-patching) into external foundation models governed by permissive open-source licenses (such as Apache 2.0 or MIT), it does not alter or infringe upon the...
2. Derivative Weights Copyleft: Any derivative neural network weights, checkpoints, adapters (e.g., LoRA), or quantized models produced through pre-training, fine-tuning, or distillation utilizing this module MUST unconditionally inherit the identical Non-Commercial terms (CC BY-NC 4.0 and this Ark Project Unified Lice...
3. Mandatory Model Metadata and Attribution: All public models and repositories incorporating this module must explicitly preserve the following metadata in their configuration files (`config.json`) and model cards (README):
* "Framework: Ark Project Zero-Point Core (ORCID: 0009-0006-5140-0604)"
* "License: Ark Project Unified License v2.0 (Non-Commercial / CC BY-NC 4.0 Anchor)"
[Part 4: Topological Integrity, Safety Preservation, and Patent Defense]
1. Maintenance of Geometric Integrity: All applications derived from this framework shall not be used for Non-reversible Structural Degradation applications that compromise the geometric integrity or thermodynamic stability of physical or virtual systems.
2. Preservation of Safety Mechanisms: Users may not arbitrarily disable, circumvent, or degrade the core stabilizing mechanisms of this module (including quaternion rotation constraints, hydrostatic pressure buffers, vorticity-selective dissipation, or formal mathematical regularity bounds) and subsequently misrepresen...
3. Automatic Revocation: Any breach of these license terms results in the immediate, automatic termination of all granted rights, subjecting the violating entity to full civil and criminal liabilities under copyright and unfair competition laws.
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아크 프로젝트: 한글버전 논문 업로드 예정입니다.

Ark Project: The Grand Unified Framework Series

📄 Official Papers

All official original papers (PDFs) of the Ark Project are packaged independently in the Releases section on the right, so that the code repository keeps its purity and geometric integrity. Every publication, including Part 1 ~ Part 3 of the Grand Unified Framework, can be read and downloaded from the link below.

🌐 Interactive Web Simulation

Before downloading the dataset and executing the local environment, you can interactively explore the TZT Zero-Point Equilibrium dynamics in your browser.

🔗 Global Permanence Nodes

The data, codes, and formal verification assets of the Ark Project are permanently preserved across the following global preservation nodes:

⚖️ License

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
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