Update fusion context embeddings

README.md

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+# ailab-bio/TACK-Context-Encoding
+
+PCA-reduced context embedding tables for the `tackai` fusion surrogates (`tackai.fusion`):
+one lookup table plus a PCA side-file per block (assay (8-d), cell (47-d), e3 (7-d), poi (51-d)), and `manifest.json` recording
+each file's sha256, byte size and dimensions. Published from a `protein_space="combined"` encoder; `from_pretrained` reproduces that by default.
+
+These tables are **inputs** to every fusion model, never the output of one — a fitted
+ensemble is only meaningful against the exact tables it was built with, so this repo is
+versioned by commit rather than by file content.
+
+## Loading
+
+```python
+from tackai.fusion.data import FusionData
+
+data = FusionData.from_pretrained("ailab-bio/TACK-Context-Encoding")
+context = data.encode_context({"poi_seq": ..., "e3_seq": ..., "cell_id": ..., "assay": ...})
+```
+
+`from_pretrained` installs these files into `TACKAI_CACHE` and verifies them against this
+repo's `manifest.json` before use.
+
+Generated by `tackai.fusion.context.stage_context_tables` (tackai version
+1.0.0) — do not hand-edit; re-stage and re-upload instead.

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manifest.json

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+{
+ "format": "tack-fusion-context/v1",
+ "tackai_version": "1.0.0",
+ "protein_space": "combined",
+ "block_dims": {
+  "assay_time": 1,
+  "cell": 47,
+  "poi": 51,
+  "e3": 7,
+  "assay": 8
+ },
+ "combined_dim": 52,
+ "models": {
+  "cell": "sentence-transformers/all-mpnet-base-v1",
+  "assay": "sentence-transformers/all-mpnet-base-v1",
+  "poi": "facebook/esm2_t30_150M_UR50D",
+  "e3": "facebook/esm2_t30_150M_UR50D"
+ },
+ "files": {
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+   "role": "table",
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+}

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