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Quipu: A Governed Bitemporal Knowledge Graph Store· Quipu:治理的双时间知识图谱存储

Agents now write knowledge graphs, but knowledge-graph stores still carry defaults set when humans curated them: accept writes now and clean later, keep one time axis or none, treat every writer's facts as equally trustworthy, and leave governance to dashboards and middleware. These four defaults are individually convenient and jointly untenable under agent workloads. We present Quipu, an embeddable store that inverts all four: no fact enters except through a gate whose predicates evaluate the pending post-state; data, trust labels, verdicts, and the rules themselves are bitemporal; named graphs are the unit of authority and trust, composed under a lattice whose one invariant is that composition never widens; and the governance specification $Σ$, the trace, and signed verdicts are facts in

AI 解读论文

治理双时间知识图谱存储,为智能体工作负载优化设计

核心方法
提出Quipu系统,通过反转现有系统默认设置,实现数据治理、双时间维度管理以及基于命名图的信任管理
适合谁读
研究者 / 工程师
要解决的问题
现有知识图谱存储系统未适应智能体工作负载,存在数据治理、可信度和时间管理的问题
关键实验
未提供
主要贡献
提供了适应智能体工作负载的知识图谱存储解决方案,改善了数据治理与可信度管理
意义与局限
Quipu能够提高知识图谱在智能体环境下的可靠性和管理效率,但其效果需要通过实际应用进一步验证
领域:cs.AI作者:Steve Brown
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