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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.
48 lines
2.3 KiB
TeX
48 lines
2.3 KiB
TeX
\documentclass[11pt,a4paper]{article}
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\usepackage{../shared/luxcover}
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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{algpseudocode}
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\usepackage{listings}
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\input{../shared/lstlang}
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\usepackage{xcolor}
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\usepackage{booktabs}
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\title{G-Chain: Unified GraphQL Query Engine with Decentralized Indexing for Multi-Chain State}
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\author{
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Lux Research\thanks{Corresponding author: [email protected]}\\
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\textit{Lux Industries, Inc.}\\
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\texttt{[email protected]}
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}
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\date{2021}
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\begin{document}
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\luxcoverpage
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\begin{abstract}
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We present G-Chain (Graph Chain), a specialized blockchain layer providing universal indexing and querying across all Lux Network chains---Platform (P), Contract (C), Exchange (X), Quasar (Q), Zero-knowledge (Z), Attestation (A), Bridge (B), MPC (M), and FHE (F)---through a native GraphQL interface. Built on BadgerDB with quantum-safe authentication, G-Chain enables rich, performant queries over cross-chain state with horizontal scaling through user-operated nodes. The system achieves sub-10ms query latency for indexed data while maintaining deterministic consensus across all nodes. By implementing GraphQL as a dedicated chain with selective synchronization, G-Chain solves the blockchain data access problem without sacrificing decentralization or introducing external trust assumptions. Smart contracts can execute on-chain graph queries through gas-metered precompiles, enabling unprecedented composability. This paper details the architecture, GraphVM interpreter, BadgerDB storage layer, horizontal scaling model, and integration patterns for dApps and infrastructure.
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\end{abstract}
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\input{sections/01-introduction}
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\input{sections/02-related-work}
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\input{sections/03-g-chain-architecture}
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\input{sections/04-query-language-design}
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\input{sections/05-horizontal-scaling-architecture}
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\input{sections/06-performance-analysis}
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\input{sections/07-on-chain-query-execution}
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\input{sections/08-security-analysis}
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\input{sections/09-integration-patterns}
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\input{sections/10-implementation-status}
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\input{sections/11-conclusion}
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\input{sections/13-appendix-a-graphvm-instruction-set}
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\input{sections/14-appendix-b-badgerdb-configuration}
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\input{sections/15-appendix-c-query-optimization-techniques}
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\input{sections/99-acknowledgments}
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\end{document}
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