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ZTARE 0.1.0

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@sparckix sparckix released this 08 Jun 01:00
v0.1.0
9d6610c

First tagged public release of ZTARE — a zero-trust research engine that keeps neural proposers strictly separate from deterministic verifiers, gates, and append-only ledgers, so the model cannot self-certify. The discipline is the product: it improves research rigor; it does not guarantee truth.

Highlights

  • leanmill — governed Lean proof-search engine: a governed DAG search over a typed move algebra behind a single anti-laundering kernel (axiom allowlist + statement-integrity + MNC) with composite decomposition→closure ratification. The solver proposes; governance ratifies. Environment lift is measured, not assumed (lift-pending).
  • Autoresearch law-discovery factory (discover → compress → prove) with the symbolic fitter, holdout tests, and Lean kernel as the only arbiters.
  • Shared common/ libraries: sandboxed execution, symbolic-witness / SymPy compute, constraint isomorphism, and more — reused across both lanes.
  • Primitive registry + atlas with an amnesia precheck to reuse capabilities before building new ones.
  • Deterministic publish-safety and anti-gaming gates, each dogfooded so it cannot silently rot.
  • Public analytics dashboard (GitHub Pages), leak-masked.

Full notes: see CHANGELOG.md.

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