| # Verification scope |
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|
| The release was checked with local automated tests and an all-50-task abstaining |
| agent smoke run. This verifies loading, corpus hashes, task dispatch, output |
| contracts and reporting, not real-agent mining quality or empirical difficulty. |
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|
| Synthetic tests exercise agent-selected group/date comparisons, forbidden |
| filters, overlapping groups, minimum population sizes, exact partitions, |
| Simpson-style reversals, missing metadata, counterexamples, quotation offsets, |
| score bindings, null reference coverage and bounded reproducible semantic packets. |
| The separate [agent experiment](RESULTS.md) covers 150 completed attempts. |
| It is not an independent validation set or a controlled leaderboard. |
|
|
| ```bash |
| python -m unittest discover -s tests -v |
| tib verify --data data/participant --with-learning |
| ``` |
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| The data builder deterministically selects disjoint IDs from an already curated |
| pool, preserves original text, enriches released metadata and filters selected |
| documents out of the remaining pool. It records exact input shard hashes. |
| Current-snapshot disjointness does not erase historical public exposure. |
| Observed completion and quality results are reported separately from these |
| software checks; they do not establish difficulty under matched conditions. |
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