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我在许多领域（文档、人工智能输出、数据集、代码、日志）中不断遇到同样的问题。存储告诉我我现在拥有什么。版本控制告诉我发生了什么变化。但是当争议发生时，真正的问题往往更简单：这些数据实际上是什么时候存在的？截图、PDF、仪表板、电子邮件……它们大多依赖于对系统或平台的信任。在许多情况下，存储或共享原始数据甚至不是一个选项（隐私、合规、规模）。我很好奇其他人今天是如何处理这个问题的。你见过哪些有效的实践方法？

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I keep running into the same problem across many domains (documents, AI outputs, datasets, code, logs).Storage tells me what I have now. Versioning tells me what changed.But when a dispute happens, the real question is often simpler: When did this data actually exist?Screenshots, PDFs, dashboards, emails… they mostly rely on trust in a system or platform.In many cases, storing or sharing the original data isn’t even an option (privacy, compliance, scale).I’m curious how others handle this today. What approaches have you seen work in practice?

如何可靠地证明数据何时存在？