https://github.com/chonghin33/semantic-logic-system-1.0
Semantic Logic System v1.0 — A modular prompt-based semantic framework for LLMs.
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Repository
Semantic Logic System v1.0 — A modular prompt-based semantic framework for LLMs.
Basic Info
- Host: GitHub
- Owner: chonghin33
- Default Branch: main
- Homepage: https://orcid.org/0009-0000-8198-6278
- Size: 152 KB
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- Watchers: 1
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Metadata Files
README.md
Semantic Logic System (SLS) v1.0
DOI: DOI 10.17605/OSF.IO/9GTDF
Author: Vincent Shing Hin Chong
Version: 1.0
License: CC BY 4.0
Released: April 2025
ORCID: https://orcid.org/0009-0000-8198-6278
Contact: chonghin33@outlook.com (Open for collaboration)
🧠 Overview
Semantic Logic System (SLS) is a full-stack semantic control framework designed for use within Large Language Models (LLMs). It enables modular, recursive, and self-sustaining language systems using nothing but language itself. SLS introduces a new paradigm: language as a system’s internal logic.
This repository contains the complete v1.0 white paper and associated modular specifications.
📘 Included Documents
| Component | Description |
|-----------|-------------|
| sls-v1.9-wp-full.md | Full white paper, including Chapters 1–8 |
| Appendix_A_Module Chain and Structure.md | Definitions of semantic terms and syntax |
| Appendix_B_Module_Orchestrator.md | Practical module orchestration template |
| Appendix_C_Snapshot_Module.md | Semantic closure and snapshot implementation |
📌 Key Concepts
- Meta Prompt Layering (MPL)
- Intent Layer Structuring (ILS)
- Symbolic Semantic Rhythm
- Snapshot Generator Module
- Module Chain Dynamics
- Semantic Closure
🤖 LLM Compatibility
SLS is designed to operate entirely within LLM environments. It is compatible with:
- OpenAI GPT-series (GPT-3.5 / GPT-4 / GPT-4-turbo)
- Anthropic Claude
- Google Gemini
- Meta LLaMA / Mistral derivatives
- Any transformer-based model that supports prompt-token interaction and long-context reasoning
No external plugin or API is required — the system runs purely on language.
Related Whitepaper
This framework is built upon and expands the principles established in: Language Construct Modeling (LCM) — by Vincent Shing Hin Chong
LCM introduced recursive prompt logic and modular composition in language-first systems.
SLS builds upon that foundation to construct a full semantic runtime environment.
🔐 Integrity & Attribution
Each file is verified using SHA-256 and listed in Appendix D. You may use, modify, or extend this system with attribution.
💼 License & Commercial Use Notice
SLS v1.0 is licensed under CC BY 4.0. This allows:
- Commercial use
- Redistribution
- Adaptation
However:
- All semantic terms, module names, and structural definitions introduced in this work must be attributed to Vincent Shing Hin Chong.
- Any commercial integration, repackaging, or system extension must retain reference to this original repository and author.
For licensing questions or advanced applications, please contact the author directly.
📣 Disclaimer
SLS is not prompt engineering. It is a formalized semantic system designed to transform how LLMs internalize and structure meaning.
✉️ Contact / Collaboration
For collaborations or inquiries, please credit the author and cite this repository in derivative works.
Contact via chonghin33@outlook.com Vincent Shing Hin Chong
Framework: Semantic Logic System (SLS)
Version: v1.0
Author: Vincent Shing Hin Chong
License: CC BY SA 4.0
Contact: chonghin33@outlook.com
Owner
- Login: chonghin33
- Kind: user
- Repositories: 1
- Profile: https://github.com/chonghin33
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