Add v0 embeddings for cavity-claw and TransmonCross layouts

README.md

@@ -25,7 +25,7 @@ size_categories:
 
 # SQuADDS Layout Embeddings
 
-Versioned layout representations for the 4,577 GDS artifacts in
+Versioned layout representations for the 7,727 GDS artifacts in
 [SQuADDS/SQuADDS_Layouts](https://huggingface.co/datasets/SQuADDS/SQuADDS_Layouts).
 
 ## Static embedding model `v0`
@@ -65,11 +65,18 @@ statistics, and source schema are frozen in
 | --- | ---: |
 | `GeneralizedCapNInterdigital` | 3,683 |
 | `CapNInterdigitalTee` | 894 |
+| `CavityClawRouteMeander` | 1,216 |
+| `TransmonCross` | 1,934 |
 
 Every row retains `layout_id`, `artifact_id`, `design_id`, `component_name`,
 and `source_id`, plus the raw parameter sum, geometric moments, functional
 bounds, and a SHA-256 hash of the 96×96 bitmap.
 
+The normalization statistics in this release are fit across all four component
+families. Existing layout identities and shape bitmaps remain stable; vectors
+are republished together so cosine similarity remains comparable across the
+complete catalogue.
+
 ## Access
 
 ```python

metadata/static-embedding-v0.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:eee64ef7382c0fbe6cb9d763f848e1d482790c746429570810a501b94dd86fb7
-size 27206661
+oid sha256:2906181026db4d2de42f0c9a06d7a76635831d846e6cea9080549d3b3691d530
+size 43406616

metadata/static-embedding-v0.schema.json

@@ -49,31 +49,31 @@
     "excluded": "simulation-domain ground layer (1, 0)"
   },
   "normalization": {
-    "parameter_mean": 119.12693904304129,
-    "parameter_std": 41.47948098628826,
+    "parameter_mean": 742.4246055562062,
+    "parameter_std": 1452.0982784019416,
     "moment_mean": [
-      7.199095883714775,
-      6.038557291097784,
-      -0.06114899487646157,
-      0.3444617315897131,
-      0.027325720598655186,
-      0.001453481663011831,
-      0.04410981652657115,
-      0.03196827568718987,
-      -0.00023640558809321613,
-      0.7251485793088448
+      8.838096523417622,
+      7.188891901268179,
+      0.1747443453386349,
+      0.2685946526564508,
+      0.04254547212419702,
+      0.009643734316262299,
+      0.0476611203028274,
+      0.026147025177978865,
+      5.5203095922678295e-05,
+      0.7486912895266242
     ],
     "moment_std": [
-      0.9058000344121664,
-      0.6270697679224184,
-      0.7402350020741016,
-      0.1290950058579193,
-      0.05763537913270997,
-      0.0021810992553648666,
-      0.02303165066879144,
-      0.014210240903499162,
-      0.00040800322351881635,
-      0.2101244913274543
+      2.160164605606158,
+      1.5977142258826054,
+      0.7178226519712876,
+      0.13826079773238997,
+      0.06949500744108629,
+      0.03117808679147505,
+      0.019558839847087152,
+      0.014266749202588542,
+      0.0011718407982694422,
+      0.18354901187363284
     ],
     "parameter": "tanh(z-score)",
     "moments": "z-score, clipped to [-5, 5], then L2 normalized",