Question for you experts here. This article uses theory to imply a high bound for semantic capacity in a a vector space. However, this recent article (https:/

Question for you experts here. This article uses theory to imply a high bound for semantic capacity in a a vector space. However, this recent article (https://arxiv.org/pdf/2508.21038 https://arxiv.org/pdf/2508.21038) empirically characterizes the semantic capacity of embedding vectors, finding inadequate capacity for some use cases. These two articles seem at odds. Can anyone help put these two findings in context and explain their seeming contradictions?