AI RESEARCH
Whitening Reveals Cluster Commitment as the Geometric Separator of Hallucination Types
arXiv CS.CL
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ArXi:2603.07755v1 Announce Type: new A geometric hallucination taxonomy distinguishes three failure types -- center-drift (Type~1), wrong-well convergence (Type~2), and coverage gaps (Type~3) -- by their signatures in embedding cluster space. Prior work found Types~1 and~2 indistinguishable in full-dimensional contextual measurement. We address this through PCA-whitening and eigenspectrum decomposition on GPT-2-small, using multi-run stability analysis (20 seeds) with prompt-level aggregation.