Semantic Space Has a Shape

This Research Note treats semantic-space regularities in vocabulary evolution as measurable public traces of language readout geometry, while refusing the stronger claim that word embeddings are meaning itself.

The note reads Guo et al. 2026, Statistical structure and the evolution of languages, as an external anchor for Book VII's language architecture. It distinguishes subsymbolic pattern fields, readout functors, public language, corpora, embedding instruments, and observed statistics, then frames the paper's regularities as calibration surfaces for future tau-facing language models rather than as confirmation of Category tau.

Canonical public page: https://panta-rhei.site/publications/research-notes/semantic-space-has-a-shape/