Document utterance embedding handoff

state/map.yaml

@@ -41,8 +41,10 @@ constraints:
     work. Weksa owns interlingua-to-English projection.
   - Weksa still owns English pronunciation planning: tokenization, word
     pronunciations, phrase grouping, stress, and broad IPA stringing.
-  - Long-term speech handoff should use learned line-expression vectors from
-    Weksa and learned synth-control decoding in AquaSynth.
+  - Long-term speech handoff should use Weksa-provided speech text embeddings,
+    prosody/emphasis hints, and Ghostlight/Epiphany-shaped character-state
+    vectors; AquaSynth owns the learned utterance embedding encoder, gradient
+    descent, and synth-control decoding.
   - Large offline text-embedding jobs should use `bge-m3` on the neighboring
     Ollama inference box documented in `E:\Projects\gamecult-ops` rather than
     running on the local Weksa workspace by default.
@@ -186,8 +188,9 @@ open_questions:
     morphology, and diachrony definitions?
   - What compiled runtime bundle format keeps game-time rendering fast and
     inspectable?
-  - How should Weksa persist or cache utterance embeddings generated by
-    `bge-m3` on the neighboring Ollama box?
+  - How should Weksa persist or cache speech text embeddings generated by
+    `bge-m3` on the neighboring Ollama box before AquaSynth turns them into
+    utterance embeddings?
   - How much deterministic validation belongs in v0?
   - What is the minimal Rust to Dust language-project slice that proves the
     engine without hard-coding the setting into it?
@@ -207,8 +210,8 @@ open_questions:
   - What English G2P path should become executable first: CMUdict lookup plus
     ARPABET-to-IPA conversion, eSpeak NG oracle comparison, or a trained OOV
     model?
-  - What dimensionality and training corpus should the first Weksa
-    line-expression encoder use?
+  - What dimensionality and training corpus should the first AquaSynth-owned
+    utterance embedding encoder use?
 
 landed_baseline:
   - Language-neutral state spine.
@@ -222,7 +225,7 @@ landed_baseline:
   - Draft flavored-English lowering contract.
   - Nibu lowering target note.
   - First English pronunciation plan fixture for Nibu proof output.
-  - First toy line-expression vector fixture for Nibu proof output.
+  - First toy utterance embedding handoff fixture for Nibu proof output.
   - First Nibu interlingua-to-English lowering fixture.
   - `bge-m3:latest` installed on neighboring Ollama box `192.168.1.84` and
     verified through a 1024-dimensional utterance embedding.