Machine Learning · 2026-11-04

One Mistake, Three Layers: Persistence Rules Under Depth Correlation

arXiv:2611.03968v1 Announce Type: new Abstract: Probing frozen representations layer by layer is now standard practice, but reporting when a signal first becomes decodable requires a rule for reading a depth curve, and the obvious rule is wrong.

SHARE THIS ARTICLE LinkedIn X Facebook

arXiv:2611.03968v1 Announce Type: new Abstract: Probing frozen representations layer by layer is now standard practice, but reporting when a signal first becomes decodable requires a rule for reading a depth curve, and the obvious rule is wrong. On synthetic curves with known ground truth, requiring a probe score to exceed a null-calibrated threshold for three consecutive stages reports an onset nineteen stages early under transformer-like depth correlation, with every resample returning an onset. The failure follows from correlation between neighboring layers, a hazard known in neuroimaging but not, to our knowledge, checked for depth curves. We give an estimator whose error rate is calibrated rather than assumed.

Source and attribution

Original source: arXiv ML ↗

This is an attributed editorial digest. For the complete study and original reporting, follow the source link.

Reader feedback

0 likes · 0 dislikes

Sign in to like or dislike this research.

SHARE THIS ARTICLE LinkedIn X Facebook
← Back to research archive