Caprazli Project - Continuous Latent State Trajectories

Created: 2025-12-11 Author: Kafkas M. Caprazli (ORCID: 0000-0002-5744-8944) Hardware: Intel Ultra 7 155H | 32GB RAM | 2TB NVMe | Windows 11 Status: Alpha Development

Project Overview

Implementation of the Two-Level Theory of Information Retrieval through Continuous Latent State Trajectories (CLSTs) - a standardized format for neural state persistence and efficient retrieval.

Core Thesis

Modern vector databases unconsciously converge on UNESCO's 1985 CDS/ISIS architectural principles, representing mathematical inevitability rather than coincidence.

Quick Start

1. Review configuration: configs\project_config.json
2. Install dependencies: pip install -r requirements.txt
3. Run investigation: python scripts\investigate_datasets.py
4. Execute MVP: python experiments\exp_04_indexing_proof\mvp_experiment.py

Hardware Requirements

• CPU: 16+ cores (Intel/AMD)
• RAM: 32GB minimum
• Storage: 500GB+ SSD
• OS: Windows 11 / Linux

License

Research-grade / Pre-patent (proprietary)

Contact

• GitHub: https://github.com/CapraCoder/caprazli-project
• Email: caprazli@gmail.com
• ORCID: 0000-0002-5744-8944
• Author: Kafkas M. Caprazli