Audience
Safety leads, evals leads, governance reviewers
A per-output cosine-threshold guard can accept, reject, or flag generated outputs against a frozen target panel.
Signal / PAPER / 3:27

Audience
Safety leads, evals leads, governance reviewers
Core idea
The guard is not a claim that the model is always correct. It is an auditable predicate with scores, thresholds, hashes, and a decision.
Watch on YouTube· 3:27
Frontier teams do not need another impressive demo. They need a way to know which outputs passed which checks.
Watch videoOpen the full video on YouTubeThe videos are raw build context. These notes translate them into the shortest useful frame for creators, companies, and AI lab readers.
Every accepted output should carry the score trace.
Thresholds must be set before evaluation.
Panel-relative verification is still useful when scope is explicit.
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A target identity or style can be defined as frozen centroid vectors, then checked at generation time instead of trusted by vibe.
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