mirror of
https://github.com/hanzoai/papers.git
synced 2026-11-02 13:32:30 +00:00
zeekay
0d1d121451
Fix shared/ include paths to ../shared/ for 55 subdirectory papers so
that hanzocover.sty and lstlang.tex resolve when building from each
paper's own directory (the build pattern used by latexmk per paper).
Build fixes:
- hanzo-operative/sections/03-screen-understanding-pipeline.tex: move
\COMMENT from after \FOR{...} onto the \STATE line so the algorithmic
env doesn't mis-parse.
- hanzo-network-architecture (abstract + sections 04, 12, 13): escape
unicode mu (U+03BC) as $\mu$ for pdflatex.
- ntt-transform/sections/08-benchmark-results.tex: same mu escape.
All 55 Tier-2/3 papers now build clean with latexmk -pdf.
51 lines
2.5 KiB
TeX
51 lines
2.5 KiB
TeX
\documentclass[11pt,twocolumn]{article}
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\usepackage{../shared/hanzocover}
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\usepackage[utf8]{inputenc}
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\usepackage{amsmath,amssymb,amsfonts}
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\usepackage{graphicx}
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\usepackage{hyperref}
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\usepackage{algorithm}
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\usepackage{algorithmic}
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\usepackage{listings}
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\input{../shared/lstlang}
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\usepackage{xcolor}
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\usepackage{cite}
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\title{\textbf{Hanzo Network: A Decentralized AI Compute Platform with Post-Quantum Security and Physics-Inspired LLM Routing}}
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\author{
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Antje Worring, Zach Kelling\thanks{Corresponding author: [email protected]} \\
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\textit{Hanzo Industries \quad Lux Industries \quad Zoo Labs Foundation} \\
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\texttt{[email protected]}
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}
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\date{Version: v2025.09 \\ September 2025}
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\begin{document}
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\hanzocoverpage
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\begin{abstract}
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We present Hanzo Network, a decentralized compute platform that integrates blockchain consensus, confidential computing, and advanced AI inference routing into a unified architecture. The system introduces four core innovations: (1) \textbf{HLLM (Hamiltonian Hidden-Markov LLM)}, a physics-inspired routing framework that combines regime detection with Hamiltonian dynamics for optimal model selection; (2) \textbf{Post-Quantum Cryptography (PQC)} integration with NIST FIPS 203/204 compliance and five-tier privacy model supporting GPU TEE-I/O; (3) \textbf{Unified Runtime Abstraction} enabling seamless orchestration across Docker, Kubernetes, WASM, and Firecracker runtimes; and (4) \textbf{Compute DEX (Decentralized Exchange)} with on-chain resource accounting and AI token mining. Benchmarks demonstrate 9M+ blocks/second consensus throughput with sub-100$\mu$s PQC operations. The system supports 20+ LLM providers, native Qwen3 embeddings with 4096 dimensions, and blockchain-integrated compute metering. This architecture enables practical decentralized AI infrastructure with quantum-safe security guarantees.
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\end{abstract}
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\input{sections/01-introduction}
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\input{sections/02-system-architecture}
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\input{sections/03-hllm-physics-inspired-llm-routing}
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\input{sections/04-post-quantum-cryptography}
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\input{sections/05-unified-runtime-abstraction}
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\input{sections/06-consensus-and-state-management}
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\input{sections/07-ai-inference-integration}
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\input{sections/08-unix-style-api}
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\input{sections/09-security-analysis}
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\input{sections/10-performance-evaluation}
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\input{sections/11-related-work}
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\input{sections/12-discussion}
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\input{sections/13-conclusion}
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\input{sections/15-version-history}
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\input{sections/16-api-reference}
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\input{sections/17-configuration-reference}
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\input{sections/99-acknowledgments}
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\end{document}
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