Directional Freezing in Language Models: Residual-Trajectory Metrics for Detecting Overconfident Agreement Dynamics

Under agreement pressure, a model can undergo geometric freezing: it stays active and confident while its residual or hidden-state update trajectory loses orthogonal novelty and grows increasingly confined to a persistent direction.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-13
DOI
https://doi.org/10.5281/zenodo.20677589
Primary Topic
Speech and dialogue systems
Type
article
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article

Directional Freezing in Language Models: Residual-Trajectory Metrics for Detecting Overconfident Agreement Dynamics

Jonas Jakob Gebendorfer
Zenodo (CERN European Organization for Nuclear Research)
Speech and dialogue systems
article

Directional Freezing in Language Models: Residual-Trajectory Metrics for Detecting Overconfident Agreement Dynamics

Jonas Jakob Gebendorfer
article en

Abstract

Under agreement pressure, a model can undergo geometric freezing: it stays active and confident while its residual or hidden-state update trajectory loses orthogonal novelty and grows increasingly confined to a persistent direction.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 3%
Speech and dialogue systems
DOIOpen Access PDFOpenAlex
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Directional Freezing in Language Models: Residual-Trajectory Metrics for Detecting Overconfident Agreement Dynamics — Jonas Jakob Gebendorfer · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS