The growing replication crisis across disciplines such as economics, finance, and other social sciences as well as computer science undermines the credibility of academic research. Current institutional solutions -- such as artifact evaluations and replication packages -- suffer from critical limitations, including shortages of qualified data editors, difficulties in handling proprietary datasets, inefficient processes, and reliance on voluntary labor. This paper proposes a novel framework leveraging new technological advances in trusted-execution environments (TEEs) -- exemplified by Intel Trust Domain Extensions (TDX) -- to address the replication crisis in a cost-effective and scalable manner. Under our approach, authors execute replication packages within a cloud-based TEE and submit cryptographic proofs of correct execution, for which journals or conferences can efficiently verify without re-running the code. This reallocates the operational burden to authors while preserving data confidentiality and eliminating reliance on scarce editorial resources. As a proof of concept, we validate the feasibility of this system through field experiments, reporting a pilot study replicating published papers on TDX-backed cloud VMs, finding average costs of \$1.35--\$1.80 per package with minimal computational overhead relative to standard VMs and high success rates even for novice users with no prior TEE experience. We also provide a conduct formal analysis showing that TEE adoption is incentive-compatible for authors, cost-dominant for journals, and constitutes an equilibrium in the certification market. The findings highlight the potential of TEE technology to provide a sustainable, privacy-preserving, and efficient mechanism to address the replication crisis in academia.

翻译：经济学、金融学及其他社会科学与计算机科学等学科中日益严重的可重复性危机，正在削弱学术研究的可信度。当前机构层面的解决方案（如工件评估和可重复性包）存在关键局限，包括缺乏合格的数据编辑、难以处理专有数据集、流程效率低下以及依赖自愿劳动。本文提出一种新型框架，借助可信执行环境（TEE）领域的新技术进展（以英特尔信任域扩展（TDX）为例），以具有成本效益且可扩展的方式应对可重复性危机。在该方法中，作者在基于云的可信执行环境中运行可重复性包，并提交正确执行过程的密码学证明，期刊或会议无需重新运行代码即可高效验证。此举将操作负担转嫁给作者，同时保护数据机密性并消除对稀缺编辑资源的依赖。作为概念验证，我们通过实地实验验证了该系统的可行性：报告了一项在基于TDX的云虚拟机上复现已发表论文的试点研究，结果显示每个包的平均成本为1.35至1.80美元，相比标准虚拟机的计算开销极低，且即使是没有TEE使用经验的新手用户也拥有高成功率。我们还进行了形式化分析，表明采用TEE对作者具备激励相容性、对期刊具有成本优势，并在认证市场中构成均衡状态。研究结果凸显了TEE技术在提供可持续、保护隐私且高效的机制以解决学术界可重复性危机方面的潜力。