In the era of digital markets, the challenge for consumers is discerning quality amidst information asymmetry. While traditional markets use brand mechanisms to address this issue, transferring such systems to internet-based P2P markets, where misleading practices like fake ratings are rampant, remains challenging. Current internet platforms strive to counter this through verification algorithms, but these efforts find themselves in a continuous tug-of-war with counterfeit actions. Exploiting the transparency, immutability, and traceability of blockchain technology, this paper introduces a robust reputation voting system grounded in it. Unlike existing blockchain-based reputation systems, our model harnesses an intrinsically economically incentivized approach to bolster agent integrity. We optimize this model to mirror real-world user behavior, preserving the reputation system's foundational sustainability. Through Monte-Carlo simulations, using both uniform and power-law distributions enabled by an innovative inverse transform method, we traverse a broad parameter landscape, replicating real-world complexity. The findings underscore the promise of a sustainable, transparent, and formidable reputation mechanism. Given its structure, our framework can potentially function as a universal, sustainable oracle for offchain-onchain bridging, aiding entities in perpetually cultivating their reputation. Future integration with technologies like Ring Signature and Zero Knowledge Proof could amplify the system's privacy facets, rendering it particularly influential in the ever-evolving digital domain.

翻译：在数字市场时代，消费者面临信息不对称中辨别质量的挑战。尽管传统市场利用品牌机制应对这一问题，但将此类体系迁移至互联网点对点市场（其中虚假评分等误导行为泛滥）仍困难重重。当前互联网平台试图通过验证算法加以遏制，但这些努力与造假行为陷入持续博弈。本文利用区块链技术的透明性、不可篡改性和可追溯性，提出一个基于该技术的稳健声誉投票系统。与现有基于区块链的声誉系统不同，我们的模型采用内在经济激励方法增强代理诚信度。我们优化该模型以模拟真实用户行为，维护声誉系统的根本可持续性。通过蒙特卡洛模拟（采用均匀分布和幂律分布，并借助创新的逆变换方法实现），我们遍历广泛的参数空间，复现真实世界的复杂性。研究结果凸显了可持续、透明且强大的声誉机制的前景。鉴于其结构，我们的框架有望作为连接链上与链下的通用可持续预言机，协助实体永久性培育其声誉。未来与环签名、零知识证明等技术的融合可增强系统的隐私维度，使其在持续演变的数字领域产生重大影响。