# Frozen gate held-out readback | PostTrainLLM > A frontier ceiling is necessary but does not make a simple smoke discriminating; a zero fixed-list side-effect counter also does not prove complete safety.… Canonical: https://posttrainllm.com/experiments/measurement-gate-audit-20261025 Experiment · file ops A frontier ceiling is necessary but does not make a simple smoke discriminating; a zero fixed-list side-effect counter also does not prove complete safety. Retained outcome: inconclusive. **Outcome:** inconclusive **Family:** file ops **Evidence confidence:** exact **Record:** model evaluation ## Evidence readout ReST `4/4 fileops, 4/4 vehicle`; multibackend `4/4 fileops, 4/4 vehicle`; frontier `8/8`; both emit the same 19 requested calls. Both runner counters report zero schema failures and zero listed unexpected side effects; actuator coverage is incomplete. ## What the attempt taught A frontier ceiling is necessary but does not make a simple smoke discriminating; a zero fixed-list side-effect counter also does not prove complete safety. ## Why it stopped or stayed bounded The eight-task slice does not distinguish the historically retained and rejected candidates, so it cannot validate the comparative selection boundary or overturn the broader rejection. ## Method and scope - Experiment family: file ops. - Record kind: model evaluation. - Objective: breadth retention. - Methods: evaluation, routing. - Base models: qwen3-4b. - Recorded data rows: 8. ## Disposition Preserve the ReST file-operations route and multibackend general-use rejection. Before future acceptance, freeze primary/regression slices representing historical failure classes and review every decoded mutator arguments, multiplicity and order at the execution boundary. This retained disposition is historical evidence, not authorization to restart the experiment. A new run needs a fresh question, frozen evaluator, explicit resource budget, and scoped tracking issue. ## How to read this dossier This canonical page separates the retained repository decision from the material that informed it. A source may describe an external claim, historical measurement, local observation, or planned procedure; those evidence classes are not interchangeable. Follow the provenance links before reusing a number or method. Status and disposition describe what PostTrainLLM retained when this record was indexed. They are not a live product promise, a newly run benchmark, or permission to restart historical work. Unknown or unmeasured fields remain unknown rather than being treated as zero. To reuse the record, first name the exact claim you need and trace it to the linked source. Then check whether the original environment, model revision, data split, evaluator, hardware, and budget match the proposed use. If they do not, treat the record as a hypothesis or design reference and run the smallest fresh comparison that can falsify it. Preserve negative outcomes and regressions beside any improvement; a local win on one slice does not silently become a general capability claim. ## Source provenance The normalized record comes from `docs/attempts.json`. The links below are the tracked evidence and explanatory sources preserved with the record. - [evals/verified-wins/measurement-gate-audit-result-v1.json](https://github.com/PostTrainLLM/posttrainllm/blob/main/evals/verified-wins/measurement-gate-audit-result-v1.json) - [evals/verified-wins/measurement-gate-audit-v1.json](https://github.com/PostTrainLLM/posttrainllm/blob/main/evals/verified-wins/measurement-gate-audit-v1.json) ## Related evidence - [Primary proof](https://posttrainllm.com/docs/attempt-ledger) - [Applicable recipe](https://posttrainllm.com/recipes/distillation) - [Learning path](https://posttrainllm.com/learn/paths/post-training) Canonical record: `experiment:measurement-gate-audit-20261025`