Recorded false-green
Python downloads once from this site. Runs in a disposable browser worker. No installation, credentials or model call.
Inspect the committed source ↗Run the actual Python tests against a recorded coding-agent patch.
Then introduce a known fault and see which checks catch it.
Engineers reviewing
agent-generated code.
Python downloads once from this site. Runs in a disposable browser worker. No installation, credentials or model call.
Inspect the committed source ↗Select a candidate and run the checks. No result is assumed in advance.
Each run executes the bundled Python code and returns fresh results. The same candidate and verifier hashes link it to the repository.
This page: fresh execution of the bundled public tests and qualified verifier in browser Python. Local replay: re-execution of the full historical evaluator at its original Git commit. Fresh inference: a new Nemotron request through Nebius, enabled in the local workbench with your server-side key. This page is not a new model call or a source-exact historical replay.
A reviewer needs to know why a candidate passed, which contract it satisfied, and whether the result can be reproduced.
Code, failed gate IDs, source hashes and a retained execution report. A failed check becomes a bounded repair input rather than an unsupported success claim.
ProofGate checks a coding agent’s work against a qualified verifier.
Inspect the failure, follow the repair, and reproduce the verdict.
Who verifies
the verifier?
These are observations from five synthetic repository tasks. The AP-005 repair was generated by Ollama. The Nebius / Nemotron experiment is a separate AP-001 run series. Browser hash checks confirm artifact integrity; local replay re-executes the historical evaluator.
All committed attempts, including failures and HOLDs. Missing measurements stay missing.
Phase 12: llama3:latest 9/10, qwen2.5-coder:7b 10/10, Nemotron 3 Super 10/10. Ten fixed trials each; no early stopping or repairs. This is not a model ranking.
| Task / run | Provider / model | Verdict | Public tests | Generation |
|---|
The Phase 13 IBM Bob record contributes one pass to the 52-attempt total. Its provider and latency fields are absent in this normalized ledger and are shown as unavailable.
A reference implementation must pass. Known-bad implementations and critical mutations must fail. Only then do we admit model runs as qualified evidence.
| Control | Expected | Observed | Failed gates |
|---|
Seventeen detected mutations demonstrate sensitivity to those particular faults. They do not prove that every possible bug will be detected. The original AP-001 Section 9 false-green → repair → pass sequence remains open.
Replay the recorded evaluator without a model call, or generate a new AP-001 candidate with NVIDIA Nemotron on Nebius Token Factory.
Use Python 3.10+ and Git with full repository history. The server binds to your own computer.
Open the printed localhost address. The same interface gains a real “Re-execute verifier locally” action.
Configure NEBIUS_API_KEY in the server environment. The model is pinned to nvidia/nemotron-3-super-120b-a12b. Keys never enter the browser.
One click makes one paid-provider request using your Nebius credits. Results go to a new local staging directory. PASS, FAIL and HOLD are all retained; no automatic retry.
The local runner uses structural admission and temporary workspaces. It is not an OS sandbox. Run fresh model candidates in a disposable development environment. Hosted mode executes the bundled Python verifier checks. New model inference and full historical replay use the local server; stored results are never substituted for a failed runtime call.