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Paperstack

A curated collection of whitepapers and research resources spanning Systems and Artificial Intelligence.

This repository serves as a personal archive for quick reference and continuous learning — focusing on foundational concepts, architectures, and emerging technologies.

Repository Structure

paperstack/
├── README.md                # Overview (this file)
├── systems/
│   └── README.md            # Systems whitepapers and resources
└── ai/
    └── README.md            # AI whitepapers and resources

Topics

  • Systems — Distributed systems, scalability, architectures, and design principles.
  • Artificial Intelligence — Machine learning, deep learning, optimization, and emerging AI research.

Purpose

This repo is meant to:

  • Serve as a structured, easy-to-navigate reference for important papers.
  • Support continuous learning and technical depth across software architecture and AI research.
  • Evolve over time with newly discovered, impactful works.

Disclaimer

This repository contains references and links to research papers that are owned by their respective authors and publishers.
Only metadata, summaries, and organizational notes created within this repository are licensed under the MIT License.

License

This repository is licensed under the MIT License.
See the LICENSE file for details.

"Knowledge grows by sharing, not saving."
— Paperstack