Audit Training Experiment

Audit the claim against the preserved evidence. Do not regenerate missing evidence during the audit unless explicitly asked; identify the gap.

Reconstruct the experiment

Verify that the record contains:

hypothesis, acceptance and stop gates, scope, and explicit non-claims;
source and dataset revisions, split manifests, provenance, licenses, and hashes;
generator, teacher, prompt, schema, validator, tokenizer, and model revisions;
exact command/configuration, seed, packages, hardware, runtime, memory, and cost;
complete logs, checkpoint inventory, best metric and checkpoint identity;
raw held-out outputs, normalized outputs, per-case validation, and latency.

Confirm that preserved hashes match current artifacts. Distinguish unavailable evidence from failed evidence.