Close Out ML Experiment

End the experiment without erasing what it taught.

Freeze evidence first

Stop active inference or training when requested, but preserve completed outputs. Do not regenerate, relabel, overwrite, move, or reinterpret raw evidence. Hash baseline and final artifacts and verify expected files before editing summaries.

Inventory:

• corpus, manifests, provenance, and exact splits;
• commands, configs, prompts, schemas, revisions, and seeds;
• logs, checkpoints, adapters, raw/normalized outputs, latency, and validator results;
• blinded packets, both judging passes, identity mappings, and reports.

Reconcile the record

Recalculate inexpensive totals from per-case artifacts. If a report omits a category or case, preserve its measured values and add a clearly named correction or addendum. Explain the discrepancy; do not rewrite history or rerun inference to make totals agree.