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https://github.com/zoo-apps/papers.git
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Bylines, paper authorship, correspondence addresses and the founder blurb under each post named an individual. They name the organisation that published the work instead: the brand on posts and pages, the research byline on papers, and research@ in place of a personal address. Both are what these repositories already used elsewhere — nothing new was coined. Co-authors are untouched. Where a paper named someone else alongside, they stay named; only the one byline changed. Bibliography entries, running heads, PDF metadata and affiliations move with it, so a citation still resolves to whoever the cited paper names. Sample and fixture data uses the placeholder name these tests already use elsewhere, so no assertion changed meaning. Co-authored-by: Hanzo Dev <[email protected]>
213 lines
7.0 KiB
TeX
213 lines
7.0 KiB
TeX
\documentclass[11pt,letterpaper]{article}
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\usepackage{shared/zoocover}
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% Packages
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\usepackage[utf8]{inputenc}
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\usepackage[T1]{fontenc}
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\usepackage{amsmath,amssymb,amsthm}
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\usepackage{algorithm}
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\usepackage{algorithmic}
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\usepackage{graphicx}
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\usepackage{hyperref}
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\usepackage{xcolor}
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\usepackage{booktabs}
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\usepackage{tikz}
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\usepackage{pgfplots}
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\pgfplotsset{compat=1.18}
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\usetikzlibrary{shapes,arrows,positioning,calc,decorations.pathreplacing}
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\usepackage{listings}
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% Solidity language definition (listings does not include it by default)
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\lstdefinelanguage{Solidity}{
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morekeywords={contract,function,returns,return,if,else,for,while,do,
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mapping,address,uint256,uint,int,bool,string,bytes,bytes32,
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public,private,internal,external,view,pure,payable,memory,storage,
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calldata,event,emit,modifier,require,struct,enum,interface,
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abstract,override,virtual,is,new,delete,import,pragma,solidity,
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library,using,constructor,msg,sender,block,timestamp,this,super},
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sensitive=true,
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comment=[l]{//},
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morecomment=[s]{/*}{*/},
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morestring=[b]",
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}
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\usepackage{caption}
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\usepackage{subcaption}
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\usepackage{enumitem}
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\usepackage{longtable}
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% Theorem environments
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\newtheorem{theorem}{Theorem}[section]
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\newtheorem{lemma}[theorem]{Lemma}
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\newtheorem{proposition}[theorem]{Proposition}
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\newtheorem{definition}{Definition}[section]
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% Custom commands
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\newcommand{\Zoo}{\textsc{Zoo}}
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\newcommand{\Lux}{\textsc{Lux}}
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\newcommand{\Hanzo}{\textsc{Hanzo}}
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\newcommand{\Zen}{\textsc{Zen}}
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\newcommand{\Quasar}{\textsc{Quasar}}
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\newcommand{\PoAI}{\textsc{PoAI}}
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\newcommand{\TEE}{\textsc{tee}}
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\newcommand{\LLM}{\textsc{llm}}
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\newcommand{\GPU}{\textsc{gpu}}
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\newcommand{\DAO}{\textsc{dao}}
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\newcommand{\LoRA}{\textsc{LoRA}}
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\newcommand{\BlockSTM}{\textsc{Block-STM}}
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\lstset{
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basicstyle=\ttfamily\small,
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breaklines=true,
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frame=single,
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numbers=left,
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numberstyle=\tiny\color{gray},
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tabsize=2,
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captionpos=b,
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}
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\hypersetup{
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colorlinks=true,
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linkcolor=blue,
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citecolor=blue,
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urlcolor=blue
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}
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\title{\textbf{Per-LLM Chains}\\
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\large One Sovereign Chain per Model: Unified Training, Research, and Pooled GPU Hosting on \Quasar{} 3.0}
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\author{
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Antje Worring, Zoo Labs Foundation Research\thanks{[email protected]}\\
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\textit{Zoo Labs Foundation}\\
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\texttt{[email protected]}
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}
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\date{December 15, 2025}
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\begin{document}
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\zoocoverpage
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\begin{abstract}
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We introduce the \emph{Per-LLM Chain} architecture: a sovereign \Quasar{}-certified appchain dedicated to the lifetime of a single large language model. Each chain binds together training-data provenance, compute receipts, research artifact registries, contributor attribution graphs, and inference revenue distribution into a single consensus-ordered ledger. Per-LLM chains settle on \Lux{} \Quasar{} 3.0 (\textsc{lp-020}) via the \Quasar{}-Native App Stack (\textsc{lp-133}), use the \Quasar{}\GPU{} adapter (\textsc{lp-132}) for deterministic GPU scheduling, anchor TEE-attested compute receipts to the \Lux{} A-Chain (\textsc{lp-134}), and federate cloud capacity through \Lux{} Cloud (\textsc{lp-136}). The canonical deployment hosts the \Zen{} model family---eighteen open-weight frontier models from \texttt{zen4-nano} (0.8B) through \texttt{zen4-ultra-max} (1T+)---each with its own chain. The \Zoo{} per-LLM stack complements the \Hanzo{} AI Chain (which operates the inference and commerce marketplace) by providing the upstream training, research, and capacity layer. Spec freeze: 2025-12-15. Activation alongside \Quasar{} 3.0: 2025-12-25.
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\textbf{Keywords}: per-LLM chains, decentralized training, GPU pooling, model provenance, \Quasar{} 3.0, appchain, attribution graphs, \Zen{} models
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\end{abstract}
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\tableofcontents
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\newpage
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\input{sections/01-introduction}
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\input{sections/02-architecture}
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\input{sections/03-unified-training}
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\input{sections/04-unified-research}
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\input{sections/05-pooled-gpu-hosting}
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\input{sections/06-zen-models}
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\input{sections/07-cross-chain}
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\input{sections/08-token-economics}
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\input{sections/09-privacy-provenance}
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\input{sections/10-activation}
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\input{sections/11-securities-and-dao}
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\input{sections/12-zoo-3-0-substrate}
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\begin{thebibliography}{99}
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\bibitem{lp-020-quasar-3}
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Lux Foundation.
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\newblock LP-020: Quasar Consensus 3.0.
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\newblock Lux Improvement Proposal, December 2025.
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\newblock \url{https://github.com/luxfi/lps/lp-020}.
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\bibitem{lp-010-blockstm}
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Lux Foundation.
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\newblock LP-010: Quasar Block-STM 3 Parallel Execution.
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\newblock Lux Improvement Proposal, December 2025.
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\newblock \url{https://github.com/luxfi/lps/lp-010}.
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\bibitem{lp-105-quasar-consensus}
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Lux Foundation.
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\newblock LP-105: Quasar Consensus Family Specification.
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\newblock Lux Improvement Proposal, December 2025.
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\bibitem{lp-132-quasargpu}
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Lux Foundation.
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\newblock LP-132: QuasarGPU Adapter for Deterministic GPU Scheduling.
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\newblock Lux Improvement Proposal, December 2025.
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\bibitem{lp-137-residency}
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Lux Foundation.
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\newblock LP-137: GPU-Residency Invariant.
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\newblock Lux Improvement Proposal, December 2025.
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\bibitem{zoo-3-0-launch}
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Zoo Labs Foundation.
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\newblock Zoo 3.0 Launch: GPU-Native L1.
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\newblock Zoo Whitepaper, December 15, 2025.
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\bibitem{lp-133-app-stack}
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Lux Foundation.
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\newblock LP-133: Quasar-Native App Stack for Sovereign Appchains.
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\newblock Lux Improvement Proposal, December 2025.
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\bibitem{lp-134-topology}
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Lux Foundation.
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\newblock LP-134: Lux Chain Topology and A-Chain/B-Chain Specification.
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\newblock Lux Improvement Proposal, December 2025.
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\bibitem{lp-136-cloud}
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Lux Foundation.
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\newblock LP-136: Lux Cloud Capacity Federation Layer.
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\newblock Lux Improvement Proposal, December 2025.
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\bibitem{lp-013-fchain}
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Lux Foundation.
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\newblock LP-013: F-Chain FHE-Protected Inference.
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\newblock Lux Improvement Proposal, December 2025.
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\bibitem{hanzo-ai-chain}
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Hanzo AI.
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\newblock The Hanzo AI Chain: Inference Marketplace and Commerce Layer.
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\newblock Hanzo Whitepaper, December 2025.
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\bibitem{zen-models}
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Zen LM.
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\newblock The Zen Model Family: Open-Weight Frontier Models.
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\newblock \url{https://huggingface.co/zenlm}, December 2025.
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\bibitem{zoo-poai}
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Zoo Labs Foundation.
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\newblock PoAI Consensus and Decentralized Semantic Optimization.
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\newblock Zoo Whitepaper, 2025.
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\bibitem{zoo-gym}
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Zoo Labs Foundation.
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\newblock Zoo Gym: Unified Training Platform.
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\newblock Zoo Whitepaper, 2025.
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\bibitem{zoo-2025-securities-and-dao}
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Zoo Labs Foundation.
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\newblock Zoo 2025: Digital Securities, Quantum-Secure Settlement, and the Holographic Consensus DAO.
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\newblock Zoo Whitepaper, December 15, 2025.
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\bibitem{block-stm}
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Gelashvili, R., et al.
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\newblock Block-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessing.
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\newblock arXiv:2203.06871, 2022.
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\bibitem{tee-attestation}
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Costan, V., Devadas, S.
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\newblock Intel SGX Explained.
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\newblock IACR Cryptology ePrint Archive, 2016.
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\bibitem{nvidia-cc}
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NVIDIA.
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\newblock H100 Confidential Computing.
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\newblock NVIDIA Technical Brief, 2024.
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\bibitem{dp-sgd}
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Abadi, M., et al.
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\newblock Deep Learning with Differential Privacy.
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\newblock CCS, 2016.
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\end{thebibliography}
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\end{document}
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