arXiv: cs.AI preprintsInternational5 November 2026
Discarded or Unreachable? Diagnosing and Repairing Spatial Relation Failure in Vision--Language Similarity
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arXiv:2611.05565v1 Announce Type: cross Abstract: Contrastive vision-language models score left/right relations near chance, but the symptom has two causes that call for opposite repairs: the relation may survive in the pooled embedding yet be unreachable by native image-text similarity, or pooling may discard it while the dense features retain it. On clean two object photographs, across ten encoders, the lateral polarity is linearly decodable from the flip odd component of the pooled vector at 0.77-0.99, yet a search over a million captions leaves nine of the ten at chance under native scorin
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