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Hauptverfasser: Yu, Jay, Bennett, Austin, Gao, Billy, Joseph, Rebecca
Format: Preprint
Veröffentlicht: 2025
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Online-Zugang:https://arxiv.org/abs/2505.16068
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author Yu, Jay
Bennett, Austin
Gao, Billy
Joseph, Rebecca
author_facet Yu, Jay
Bennett, Austin
Gao, Billy
Joseph, Rebecca
contents Retroactive Public Goods Funding (RetroPGF) rewards blockchain projects based on proven impact rather than future promises. This paper reviews voting mechanisms for Optimism's RetroPGF, where "badgeholders" allocate rewards to valuable projects. We explore Optimism's previous schemes for RetroPGF voting, including quadratic, mean, and median voting. We present a proof-based formal analysis for vulnerabilities in these voting schemes, empirically validate these vulnerabilities using voting simulations, and offer assessments and practical recommendations for future iterations of Optimism's system based on our findings.
format Preprint
id arxiv_https___arxiv_org_abs_2505_16068
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Evaluating Voting Design Vulnerabilities for Retroactive Funding
Yu, Jay
Bennett, Austin
Gao, Billy
Joseph, Rebecca
Computer Science and Game Theory
Retroactive Public Goods Funding (RetroPGF) rewards blockchain projects based on proven impact rather than future promises. This paper reviews voting mechanisms for Optimism's RetroPGF, where "badgeholders" allocate rewards to valuable projects. We explore Optimism's previous schemes for RetroPGF voting, including quadratic, mean, and median voting. We present a proof-based formal analysis for vulnerabilities in these voting schemes, empirically validate these vulnerabilities using voting simulations, and offer assessments and practical recommendations for future iterations of Optimism's system based on our findings.
title Evaluating Voting Design Vulnerabilities for Retroactive Funding
topic Computer Science and Game Theory
url https://arxiv.org/abs/2505.16068