riesz-map-as-canonical-semantic-isomorphism

OUT derived (depth 4)

Created 2026-08-25T03:13:05+00:00 · Reviewed 2026-08-25T04:28:09+00:00

The Riesz map under the causal (whitened) inner product is the unique canonical isomorphism that makes embedding and unembedding semantically identical, thereby elevating "meaning" from a model-specific activation pattern to a well-defined algebraic object in a model-independent vector space

Justifications

SL — The Riesz map (base) provides the mathematical unification of embedding and unembedding; covariance-geometry-as-operational-semantic-space (depth-3) establishes that this geometry IS the semantic coordinate system. Together: the Riesz map is not merely a convenience but THE canonical identification, giving meaning a precise algebraic definition independent of the specific model.

Antecedents (all must be IN):

  • IN park-2023-riesz-map-unifies-embedding-unembedding — Under the causal inner product, the Riesz map γ̄ ↦ ⟨γ̄, ·⟩_C sends each unembedding representation γ̄_W exactly to its embedding representation λ̄_W; in the transformed space with A = M^{1/2}, embeddings and unembeddings are literally equal (g̃_W = l̃_W) and the Euclidean inner product becomes the causal one.
  • OUT covariance-geometry-as-operational-semantic-space — The covariance/whitening geometry (second-moment matrices) is the operational definition of semantic coordinate space in LLMs: it simultaneously parameterises feature interpretation (SAE decoder space, Park polytopes), similarity evaluation (cosine→Spearman pipeline), and knowledge modification (ROME rank-one updates), and this structure converges across model families.

Dependents

These beliefs depend on this one: