Route → check → receipt
ClaimStack demonstrates dimensional checks, explicit refusals and sealed records using Python's standard library.
Run ClaimStack →JARVI3 / ECOKURE
Explore the public tools behind an approach to AI verification: scoped checks, explicit unsupported outcomes, evidence receipts and replay. Run a small example, inspect its limits, then evaluate it in your workflow.
ClaimStack demonstrates dimensional checks, explicit refusals and sealed records using Python's standard library.
Run ClaimStack →DTL MathGate evaluates supported arithmetic with exact values. Its public corpus and regression tests expose the implemented scope.
Inspect MathGate →ReplayGate replays supported evidence packs and compares results. Inspect the implementation and its execution limits.
Explore ReplayGate →| Entry | Track | Result | Status | Evidence |
|---|---|---|---|---|
| DTL MathGate lite Public arithmetic suite |
Development corpus and regressions | 192 exact answers 48 expected refusals 240 cases · 0 failures 18 unit tests pass |
Reproduced 1 Oct 2026 Windows/Linux CI passed. Public tests with a separate in-repository oracle. |
Run record Code and regressions |
| Jarvi3: Themis-G ProgramBench stored candidates |
Official benchmark submission | 2/200 resolved 1,037/1,037 tests passed |
Scores reproduced 1 Oct 2026 Official evaluator; registry PR pending. Generation provenance remains unresolved. |
Fresh reproduction Package Official PR #27 |
| DTL/SuperMath AIME-style public seed |
Case-specific arithmetic replay | 14/30 correct overall 0 incorrect 16 abstain |
Development evidence Known case IDs and problem-specific calculations; not an unseen-problem reasoning score. |
Full report |
The public lite tools implement bounded checks. Passing a check does not establish general scientific truth, production readiness, or validation of every E-stack layer.