Zoo Labs Research Papers

Zoo Labs Foundation

Zoo Labs Research Papers

Academic and technical papers for Zoo Labs Foundation infrastructure and protocols.

Organization: https://github.com/zooai Foundation: Zoo Labs Foundation (501c3 non-profit) Website: https://zoo.ngo AI Chat: https://ai.zoo.ngo Training Library: https://gym.zoo.ngo Blockchain: https://zoo.network Contact: [email protected]

Papers

Zoo Labs Foundation is dedicated to open AI research and development. Our papers cover:

1. Zoo Labs Genesis Paper (October 2021)

Documentation: https://zoolabs.gitbook.io/whitepaper/ ZIP: ZIP-003-genesis.md Status: Foundational Document Launch: October 2021 as 100% airdrop to CryptoZoo users

Title: “Zoo Labs: AI-Powered Asset-Backed NFTs, Agent Wallets, and Conservation Gaming”

Abstract: The foundational whitepaper for Zoo Labs ecosystem, introducing revolutionary concepts in AI-powered NFT utility, agent-based economics, and conservation technology. Each asset-backed, ZOO-yielding NFT serves as a crypto-funded wallet for each AI agent. Launched October 2021 as a 100% airdrop to users of CryptoZoo.

Core Architecture:

Key Innovations:

Sections:

Technical Foundation: This genesis paper laid the foundation for Zoo’s pioneering approach to AI agent-backed NFTs. Zoo was one of the first projects (October 2021) to combine:

  1. AI agents with economic autonomy (crypto-funded wallets per NFT)
  2. On-chain AI coordination (multiple agents interacting via blockchain)
  3. Asset-backed intelligence (AI agents holding collateral and yielding value)

Historical Note: Launched October 2021 as a 100% airdrop to CryptoZoo community, demonstrating commitment to fair distribution and community ownership from day one.

These principles established in 2021 continue to guide the ecosystem’s evolution into decentralized semantic optimization (DSO), proof-of-AI (PoAI) consensus, and collective intelligence systems.

2. Zoo DSO (Decentralized Semantic Optimization)

File: zoo-dso.pdf LaTeX Source: zoo-dso.tex ZIP: ZIP-001-dso.md Status: Published October 2025

Title: “Decentralized Semantic Optimization: Byzantine-Robust Prior Aggregation for Collective AI Intelligence”

Abstract: A decentralized protocol for aggregating AI model priors with Byzantine fault tolerance, enabling collective intelligence at network scale.

Key Contributions:

Builds On: Hanzo ASO (HIP-002), Hanzo HMM (HIP-004)

3. Zoo PoAI (Proof of AI)

ZIP: ZIP-002-poai.md Status: Active Specification

Title: “Proof of AI: Bayesian Active Inference-Inspired Consensus for Verifiable AI Compute”

Abstract: Zoo’s consensus mechanism for quality verification of AI compute. A training-free, distributed GRPO, LLM-agnostic experiential layer for building collective intelligence.

Key Features:

4. Zoo Tokenomics

File: zip-gym-tokenomics.md Status: Active Specification

Title: “GYM Token Economics and Integration”

Overview: Economic model for Zoo’s decentralized AI training network.

Key Features:

Research focus areas:

Zen AI Model Family (Base Frontier Models)

Repository: https://zenlm.ai GitHub: https://github.com/zenlm/papers Models: https://huggingface.co/zenlm Co-developed by: Hanzo AI Inc & Zoo Labs Foundation

Zen AI is a comprehensive family of ultra-efficient language models serving as the base underlying frontier models co-developed by Hanzo AI and Zoo Labs Foundation. All models are based on Qwen3 and newer architectures with innovative optimizations.

Partnership Model

Zoo Labs Foundation (501c3) partners with Hanzo AI Inc (Techstars ‘17) to:

This unique partnership ensures that cutting-edge AI remains accessible while advancing the state of the art.

📚 Comprehensive Research Papers (October 2025)

Status: ✅ COMPLETE - 7 papers, ~9,500 lines, 362KB, 140+ citations GitHub Pages: https://zooai.github.io/papers/

Foundation & Mission

1. Zoo Foundation Mission ✅

File: zoo-foundation-mission.tex (43KB, ~1,100 lines) Version: v2025.09 (September 2025)

Documents Zoo Labs Foundation’s 501(c)(3) non-profit mission across three pillars:

Core Infrastructure

2. Zoo Network Architecture ✅

File: zoo-network-architecture.tex (48KB, ~1,200 lines) Version: v2025.09 (September 2025)

Complete L2 AI specialization layer architecture:

3. Zoo Tokenomics ✅

File: zoo-tokenomics.tex (77KB, 2,050+ lines) Version: v2025.09 (September 2025)

Revolutionary 100% airdrop tokenomics model:

Cross-network validator comparison (Lux/Hanzo/Zoo):

AI Training & Optimization

4. Gym Training Platform ✅

File: gym-training-platform.tex (49KB, ~1,228 lines) Version: v2023.05 → v2025.09 (2.5-year evolution)

Comprehensive AI training platform:

5. HLLM with Training-Free GRPO ✅

File: hllm-training-free-grpo.tex (71KB, ~50 pages) Version: v2025.09 (September 2025)

Revolutionary AI training paradigm shift:

6. Experience Ledger & DSO ✅

File: experience-ledger-dso.tex (54KB, ~1,600 lines) Version: v2025.09 (September 2025)

Decentralized Semantic Optimization implementation:

ZIP Specifications

7. ZIP-002: Zen-Reranker ✅

File: zip-002-zen-reranker.tex (49KB, ~1,288 lines) Version: v2025.10 (October 2025)

Technical specification for Zen-Reranker:

Key Innovations Documented

Tokenomics Revolution:

AI Training Breakthrough:

Infrastructure:

Educational Impact:

Building These Papers

Automated CI/CD: All papers are automatically compiled to PDF on every commit via GitHub Actions.

Local Compilation:

# Install LaTeX (one-time)
brew install basictex  # macOS
# or: sudo apt-get install texlive-full  # Ubuntu

# Compile all papers
for tex in *.tex; do
  base="${tex%.tex}"
  pdflatex "$tex"
  bibtex "$base" 2>/dev/null || true
  pdflatex "$tex"
  pdflatex "$tex"
done

# PDFs will be in current directory
ls -lh *.pdf

Download PDFs: Visit https://zooai.github.io/papers/ to download all compiled PDFs.

Citation

If you use these papers in your research, please cite:

@misc{zoo2025foundation,
  title={Zoo Labs Foundation: AI-Blockchain Research for Conservation, Education, and Frontier Science},
  author={Zoo Labs Foundation Inc},
  year={2025},
  organization={zoo.ngo}
}

@misc{zoo2025grpo,
  title={HLLM with Training-Free GRPO: 99.8\% Cost Reduction via Semantic Optimization},
  author={Zoo Labs Foundation Inc},
  year={2025},
  organization={zoo.ngo}
}

@misc{zoo2025dso,
  title={Experience Ledger: Decentralized Semantic Optimization for Large Language Models},
  author={Zoo Labs Foundation Inc},
  year={2025},
  organization={zoo.ngo}
}

Hanzo AI Papers

For Hanzo-specific research (ASO, HMM, Jin architecture):

ZenLM Papers

For Zen model family documentation:

Zoo Improvement Proposals (ZIPs)

Detailed technical specifications and protocols are documented as ZIPs:

Repository: https://github.com/zooai/zips

Building Papers

Papers use LaTeX for academic formatting.

Build from source:

cd zoo-papers
pdflatex zoo-dso.tex
bibtex zoo-dso
pdflatex zoo-dso.tex
pdflatex zoo-dso.tex

Requirements:

Related build instructions:

License

Papers are published under Creative Commons Attribution 4.0 International (CC BY 4.0).

Code examples and implementations follow their respective project licenses.

Contact

Zoo Labs Foundation Supporting open AI research and accessibility https://zoo.ngo