https://github.com/chonghin33/semantic-logic-system-1.0

Semantic Logic System v1.0 — A modular prompt-based semantic framework for LLMs.

https://github.com/chonghin33/semantic-logic-system-1.0

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future language-as-structure llm-framework llms meta-prompt modular-prompting semantic-logic-system
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Semantic Logic System v1.0 — A modular prompt-based semantic framework for LLMs.

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future language-as-structure llm-framework llms meta-prompt modular-prompting semantic-logic-system
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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

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  • Login: chonghin33
  • Kind: user

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