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|| ARK PROJECT UNIFIED LICENSE (AI CORE & TOPOLOGICAL COMPLIANCE) |
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Version: 2.0 (Final Standardized Edition) |
Year: 2026 |
Author: Jung Soo Kim / ORCID: 0009-0006-5140-0604 |
Canonical Repository: https://github.com/ark-zeropoint/archive |
Dataset Archive: https://huggingface.co/datasets/ark-zeropoint/archive |
Commercial License Inquiry: https://naver.me/5OlzNQ7Q |
This license constitutes the sole and supreme legal governance protocol regulating the Ark Project ecosystem and all associated intellectual, physical, algorithmic, mathematical, and software assets. The following core publications, theoretical frameworks, formal verifications, and computational architectures are legal... |
1. Foundational Legacy Frameworks: 'H.U.G.G.E.R Framework (v1.0–v1.3)' and 'Topological Zero Tensor (TZT) Framework' |
2. Part 1: 'A Grand Unified Framework for Macroscopic Gravity-Fluid Dynamics and 0-Point Equilibrium Operation (H.U.G.G.E.R + TZT CFD)' |
3. Part 2: 'The Golden M0 Tensor Mechanics for 0-Point Equilibrium Operation (Sigma-Zero Axiom System on Quasi-Periodic 3-Torus Manifolds)' |
4. Part 3: 'A Vorticity-Selective Dissipative Model for Incompressible Flows (NS_TZT Subgrid-Scale and Global Regularity System)' |
5. Verification and Simulation Assets: All Lean 4 mechanized formal proofs (.lean), Computer Algebra System (CAS) scripts (.py), pseudo-spectral DNS/LES solvers, benchmark telemetry datasets (.csv), and interactive web simulators. |
6. AI and System Kernel Extensions: All forthcoming artificial intelligence (AI) neural network architectures (Ark-ZPF layers, attention, normalization, dissipative KV-cache kernels), trained or derived model weights, and OS/kernel-level resource governance modules. |
This license is based on 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 legal compliance provisions tailored for open science, software engineering, AI ecosystems, and physical computing syste... |
[Part 1: Open-Source Freedom, Academic Research, and Open Research Safe Harbor] |
1. Freedom of Academic and Open Science: All theoretical axioms, mathematical equations, formal verification proofs, and software implementations of the Ark Project are published to advance scientific research, enhance mathematical rigor, and disseminate public knowledge. |
2. Open Research Safe Harbor: Universities, public research institutions, non-profit academic organizations, independent researchers, and non-profit open-source communities worldwide may freely use, study, execute, integrate, modify, benchmark, and share this framework and its AI/computational modules free of charge so... |
3. Reproducibility and Verification Rights: Researchers and automated theorem provers / auditing systems are explicitly granted the right to clone, compile, and execute the Lean 4 formal verification suites, CAS symbolic scripts, and CFD benchmark pipelines contained herein to independently audit mathematical consisten... |
[Part 2: Commercial Use Restrictions and Comprehensive AI/System Scope] |
1. General Commercial Restriction: Integrating this framework into commercial aerospace systems, proprietary computational fluid dynamics (CFD) software, industrial control systems, or proprietary technologies for corporate profit or commercial advantage without prior written authorization from the original author is s... |
2. Comprehensive Definition of 'Commercial AI and System Use': Any of the following activities constitutes 'Commercial Use' under this license and is strictly prohibited without a separate written commercial license agreement executed with the original author (Jung Soo Kim): |
a. [Commercial Service Deployment]: Utilizing this framework, algorithmic derivatives, or kernels in the operational backend of paid APIs, cloud-based inference services, SaaS platforms, or commercial software. |
b. [Internal Enterprise Infrastructure]: Deploying, running, or executing these modules within the internal computing infrastructure (in-house production environments) of a for-profit entity for purposes including, but not limited to, server energy (power/cooling) reduction, computational acceleration, inference stab... |
c. [Distillation and Synthetic Data Transfer]: Utilizing synthetic data, logits, hidden states, embeddings, or reasoning trajectories generated by models incorporating this framework 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, checkpoints, or adapters incorporating these modules under proprietary, paid, or non-free commercial licenses. |
e. [OS Kernel and Datacenter Resource Governance]: Implementing the framework's mathematical equilibrium operators, topological scheduling, or selective dissipative/filtering kernels within commercial operating system kernels (including eBPF, sched_ext, DAMON, or XDP modules), hypervisors, or cloud cluster managers f... |
f. [Algorithmic Translation and Hardware Porting]: Translating the core mathematical operators of this framework into other programming languages (e.g., C/C++, Rust, CUDA, OpenAI Triton) or porting them into hardware description languages (Verilog, VHDL, FPGA, ASIC) for commercial deployment. |
g. [Black-Box Emulation and Parameter Extraction]: Reverse-engineering, black-box fitting, or training surrogate models on the numerical outputs or dynamical behaviors of this framework to tune, calibrate, or enhance commercial solvers or proprietary AI models. |
3. Mandatory Commercial Licensing: Any corporation or for-profit entity seeking to utilize this framework or its derivatives for any of the purposes specified above must consult with the original author and obtain an explicit written commercial license in advance. |
[Part 3: Open-Source Linking, Derived Weight Copyleft, and Attribution] |
1. Independence of Plug-in / Drop-in Architectures: When Ark Project modules are imported, injected, or linked as independent plug-ins or wrappers into external foundation models or open-source software governed by permissive licenses (e.g., Apache 2.0, MIT, BSD), they do not alter or infringe upon the upstream license... |
2. Derived Weight Copyleft: All derived neural network weights, checkpoints, fine-tuning adapters (e.g., LoRA), or quantized models generated through pre-training, fine-tuning, or knowledge distillation utilizing this framework must unconditionally inherit the same non-commercial terms (CC BY-NC 4.0 and this Ark Projec... |
3. Metadata and Provenance Preservation: All public repositories, source distributions, and AI model cards integrating this framework must explicitly preserve cryptographic and academic provenance records (ORCID, official archive DOIs, Software Heritage SWHIDs, etc.) and must include the following notice in their confi... |
- "Framework: Ark Project Zero-Point Core (Author: Jung Soo Kim, ORCID: 0009-0006-5140-0604)" |
- "License: Ark Project Unified License v2.0 (CC BY-NC 4.0 Non-Commercial)" |
[Part 4: Field-of-Use Restrictions, Specification Integrity, and Patent Defense] |
1. Field-of-Use Restriction (Peaceful, Civilian, and Humanitarian Purposes Only): All rights granted under this license are valid exclusively for peaceful, civilian, and humanitarian purposes. Integrating or applying this framework into any system designed to cause or support loss of human life, bodily harm, disruption... |
2. Environmental and High-Risk Compliance: The operation of this framework must strictly comply with international environmental treaties and recognized industrial safety standards, and shall not be integrated without authorization into high-risk environmental control or artificial weather/climate intervention systems ... |
3. Specification Integrity and Non-Endorsement: The governing equations and algorithms of this framework are defined as a single Canonical Specification. Any modified versions that arbitrarily alter the mathematical or numerical constraints of the original architecture, or extract only partial components thereof, are c... |
4. Prior Art Status and Patent Defense (Non-Appropriation & Defensive Termination): All mathematical equations, tensor architectures, and algorithmic implementations disclosed in this project constitute published Prior Art under global patent laws. No user or third party may file for patents or claim exclusive intellec... |
5. Automatic Termination: Upon any breach of Part 2, Part 3, or Part 4 of this license, all usage rights granted hereunder shall immediately, automatically, and permanently terminate without prior notice, and the violating party shall be subject to full legal remedies and damages under applicable copyright, intellectua... |
[Part 5: Academic Citation and Intellectual Provenance] |
1. Primary Reference Requirement: All academic papers, preprints, technical reports, or benchmark studies that utilize, extend, or evaluate the axiom systems, governing equations (H.U.G.G.E.R, TZT, Golden M0, NS_TZT), formal proofs, or solvers of the Ark Project must explicitly cite the original author (Jung Soo Kim, O... |
2. Unauthorized Derivative Works: Any derived theoretical model or software implementation that appropriates the mathematical or algorithmic structure of this framework through variable renaming, notation substitution, or citation omission constitutes academic plagiarism and copyright infringement, and is formally defi... |
[Part 6: Legal Disclaimer, Limitation of Liability, and Governing Law] |
1. Provided "AS-IS": This framework, manuscripts, formal proofs, source codes, datasets, and AI modules are provided "AS-IS", without warranties of any kind, express or implied, including but not limited to warranties of merchantability, fitness for a particular purpose, safety, and non-infringement. |
2. Limitation of Liability: In no event shall the original author (Jung Soo Kim) be liable for any claim, damages, or other physical, financial, or legal liabilities, whether in an action of contract, tort, or other legal theory, arising from, out of, or in connection with the use, misuse, numerical execution, software... |
3. Governing Law and Exclusive Jurisdiction: This license and any legal disputes arising out of or relating to its interpretation, validity, or enforcement shall be governed by and construed in accordance with the laws of the Republic of Korea, excluding its conflict of laws principles. Any litigation or legal proceedi... |
4. Severability: If any provision of this license is held to be invalid or unenforceable by a court of competent jurisdiction, such provision shall be enforced to the maximum extent permissible to effect the original intent of the author, and the validity and enforceability of the remaining provisions shall remain in f... |
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|| 아크 프로젝트 통합 라이선스 (AI 코어 및 위상 준수 에디션) |
|| ARK PROJECT UNIFIED LICENSE (AI CORE & TOPOLOGICAL COMPLIANCE) |
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버전 (Version): 2.0 (최종 표준화 판 / Final Standardized Edition) |
발행 연도 (Year): 2026 |
저작자 (Author): 김정수 (Jung Soo Kim) / ORCID: 0009-0006-5140-0604 |
공인 리포지토리 (Canonical Repository): https://github.com/ark-zeropoint/archive |
데이터셋 아카이브 (Dataset Archive): https://huggingface.co/datasets/ark-zeropoint/archive |
상용 라이선스 문의 (Commercial License Inquiry): https://naver.me/5OlzNQ7Q |
본 라이선스는 아크 프로젝트(Ark Project) 생태계와 이와 관련된 모든 지적, 물리적, 알고리즘적, 수학적 및 소프트웨어 자산을 규율하는 유일하고도 최상위의 법적 거버넌스 프로토콜을 구성합니다. 다음의 핵심 간행물, 이론적 프레임워크, 형식 검증 및 계산 아키텍처는 본 통합 라이선스에 의해 법적·구조적으로 구속됩니다: |
1. 기초 레거시 프레임워크: 'H.U.G.G.E.R 프레임워크 (v1.0–v1.3)' 및 '위상적 제로 텐서(Topological Zero Tensor, TZT) 프레임워크' |
2. 제1부: '거시적 중력-유체역학 및 0점 평형 운용을 위한 대통합 프레임워크 (H.U.G.G.E.R + TZT 전산유체역학(CFD))' |
3. 제2부: '0점 평형 운용을 위한 황금 M0 텐서 역학 (준주기 3-토러스 다양체상의 시그마-제로 공리계)' |
4. 제3부: '비압축성 유동을 위한 와도 선택적 소산 모델 (NS_TZT 격자하 규모 및 대역적 정칙성 시스템)' |
5. 검증 및 시뮬레이션 자산: Lean 4 기계화 형식 증명(.lean), 컴퓨터 대수학 시스템(CAS) 스크립트(.py), 의사 스펙트럼(pseudo-spectral) DNS/LES 솔버, 벤치마크 원격측정(telemetry) 데이터셋(.csv), 인터랙티브 웹 시뮬레이터 일체 |
6. AI 및 시스템 커널 확장: 향후 공개될 모든 인공지능(AI) 신경망 아키텍처(Ark-ZPF 계층, 어텐션, 정규화, 소산형 KV-캐시 커널), 학습되었거나 파생된 모델 가중치, 운영체제/커널 수준의 자원 거버넌스 모듈 일체 |
본 라이선스는 크리에이티브 커먼즈 저작자표시-비영리 4.0 국제(CC BY-NC 4.0) 표준(https://creativecommons.org/licenses/by-nc/4.0/)을 기반으로 하며, 오픈 사이언스, 소프트웨어 공학, AI 생태계 및 물리 연산 시스템에 맞춤화된 다음의 법적 준수 조항들을 엄격히 집행합니다. |
[제1부: 오픈소스 자유, 학술 연구 및 오픈 리서치 세이프 하버(Safe Harbor)] |
End of preview. Expand in Data Studio
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.
- 📥 Download Papers: Ark Project Archive Releases
🌐 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.
- ▶️ Solver test here: Hugging Face Space Solver
🔗 Global Permanence Nodes
The data, codes, and formal verification assets of the Ark Project are permanently preserved across the following global preservation nodes:
- Canonical Repository (GitHub): ark-zeropoint/archive
- Dataset Archive (Hugging Face): ark-zeropoint/archive
- Part 1: Research Paper doi:10.23728/b2share.hpqba-77550
- Part 1: Supplementary Data doi:10.23728/b2share.akqtp-mcx67
- Part 2: Research Paper doi:10.23728/b2share.8ha7m-d0012
- Part 3: Research Paper doi:10.23728/b2share.fjhsf-61m85
- Part 3: Benchmark Data doi:10.23728/b2share.4t9jp-j2j68
- Internet Archive 1: Ark Project: Part 1 Grand Unified Framework
- Internet Archive 2: Ark Project: Part 2 Golden M 0 Tensor Mechanics
- Internet Archive 3: Ark Project: Part 3 Vorticity Selective Dissipative Model
- Commit Hash:
f8381c18b6625c914923be105fb35fd407cfb1c4 - Software Heritage Revision:
swh:1:rev:f8381c18b6625c914923be105fb35fd407cfb1c4
⚖️ License
This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
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