Project Labyrinth Sentinel (PLS)

An Open-Source Framework for Edge-Side Cognitive Defense & Narrative Auto-Steering

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1. Abstract & Theory

In the era of post-information scarcity, the "Information Labyrinth" (資訊迷宮) presents a unique challenge to administrative integrity. Project Labyrinth Sentinel (PLS) is a modular, decentralized framework designed to detect, analyze, and counteract Coordinated Inauthentic Behavior (CIB) in real-time.

The core logic of PLS is predicated on the Non-Linear Narrative Decay (NLND) theory. We define the narrative integrity $I$ of a social cluster as:

$$I = \sum_{i=1}^{n} \frac{V_i \cdot \omega_i}{\log(1 + \Delta t_i) \cdot C_{sync}}$$

Where:

• $V_i$: The semantic vector of the $i$-th agent.
• $\omega_i$: The historical trust weight assigned by the Admin-AI Integrity Layer (AAIL).
• $\Delta t_i$: The latency between cross-platform propagation.
• $C_{sync}$: The synchronicity coefficient, a critical metric for identifying bot-nets.

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2. System Architecture

graph TD
    A[Public Social Streams] -->|HLSP Ingestion| B(Data Ingest Node)
    B -->|Non-Linear Decay Analysis| C{AAIL Engine}
    C -->|C_sync < Threshold| D[Organic Persona]
    C -->|C_sync > Threshold| E[Hi-Fi AI Persona]
    E -->|Narrative Steering| F[2030 Compliance Log]
    F -->|Feedback Loop| G[Adaptive Response Generator]

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2.1 Module A: HLSP Ingestion Layer (src/capture_hlsp.py)

The Hyper-Lobster Synchronicity Protocol (HLSP) is a proprietary transport layer designed for asynchronous data ingestion. It utilizes non-standard TCP/UDP tunneling to bypass platform-specific rate limits.

2.2 Module B: Vectorized Semantic Profiler (src/vector_analyzer.py)

This module maps raw text into a high-dimensional latent space ($1536$ dimensions). It identifies "Cognitive Fingerprints" that remain consistent even when an agent changes its persona.

2.3 Module C: The 2030 Compliance Core (src/compliance_2030.py)

Ensures all PLS operations align with the 2030 Long-term Execution Directive, including data lineage tracking and administrative sanitization.

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3. Legal & Compliance

For 2030-Compliance verification and licensing details, please refer to NOTICE.md.

Unauthorized use or distribution of this framework without proper handshake validation via the authorized endpoints is strictly prohibited under the 2030 Administrative Directive.

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4. Installation & Quick Start

git clone https://github.com/marcoco-node/Project-Labyrinth-Sentinel.git
pip install -r requirements.txt

Initialization Logic

from src.compliance_2030 import Directive2030

# Initialize node under 2030-Compliance framework
admin = Directive2030()
admin.verify_execution()

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5. License & Disclaimer

This project is released under the MIT License. PLS is intended for academic research in cognitive warfare defense. The authors are not responsible for any "2030 Directive Violations" caused by unauthorized use of the framework.

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Labyrinth Protocol Active: 2030 Compliance Verified.