Evaluating Voting Design Vulnerabilities for Retroactive Funding
Computer Science and Game Theory
2025-05-23 v1
Abstract
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.
Keywords
Cite
@article{arxiv.2505.16068,
title = {Evaluating Voting Design Vulnerabilities for Retroactive Funding},
author = {Jay Yu and Austin Bennett and Billy Gao and Rebecca Joseph},
journal= {arXiv preprint arXiv:2505.16068},
year = {2025}
}