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版本更新 · v3arXiv:2608.04457

Eigenius:一个具有认知分层与制度中介推理的类型化知识图谱数据库管理系统

Eigenius: A Typed Knowledge-Graph DBMS with Epistemic Stratification and Institution-Mediated Reasoning

Hans-Martin Will, Allen L. Brown, Matthew Fuchs

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Eigenius 是一个开源类型化知识图谱 DBMS,通过将类型系统、存储引擎与集成协议耦合于统一内核,使数据溯源成为结构性不变量,并在 Lean 4 中机械化其元理论。

cs.DB · cs.AI · cs.LO

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As "AI Scientists" emerge to drive research via the Model Context Protocol (MCP), systems relying on ephemeral scripts will fail. The sheer scale of stateful, interconnected evidence requires a machine-walkable warranty grounded in a purpose-built database architecture. Eigenius is an open-source, typed knowledge-graph DBMS built on a single premise: answering the audit question ("what do you know, and what is your warranty?") requires a unified kernel. By tightly coupling the type system, storage engine, and integration protocol, Eigenius turns data provenance into a structural invariant rather than a property reconstructed across subsystem boundaries. The kernel rests on three pillars whose metatheory is mechanized in Lean 4: a dependent type theory (EigenTT) separating confluent conversion from ontology subsumption and keeping proof irrelevance axiomatic so distinct warrants remain inspectable; proof-calculus institutions acting as strongly typed integration boundaries; and a content-addressed immutable storage layer. Epistemic status (declared/observed/derived/verified) forms a bounded lattice over a justification logic enforced at commit. Cross-system comorphisms carry explicit axiom policies (Adopt, Discharge, Relativize), transport witnesses at commit, and materialize outputs into the graph, while EigenQL provides a Grothendieck query view across all hosted logics and shared on-chain IRs collapse multi-system translations to identity. Pairing empirical justification logic with an in-process Lean 4 term checker, an end-to-end recomputation of a published Nature study from pinned data discharges all 52 derived conclusions and surfaces four machine-checked discrepancies in the original study.