Add pipeline tag, library name, and paper link

README.md

@@ -1,11 +1,13 @@
 ---
 language: en
 tags:
-  - single-cell
-  - scRNA-seq
-  - representation-learning
-  - variational-autoencoder
-  - pytorch-lightning
+- single-cell
+- scRNA-seq
+- representation-learning
+- variational-autoencoder
+- pytorch-lightning
+library_name: pytorch-lightning
+pipeline_tag: other
 ---
 
 # scTrilemma
@@ -13,6 +15,8 @@ tags:
 Released checkpoint of **scTrilemma: Balancing Identity, Invariance, and Fidelity in
 Single-Cell Representation Learning** (NeurIPS 2026).
 
+Paper: [scTrilemma: Balancing Identity, Invariance, and Fidelity in Single-Cell Representation Learning](https://huggingface.co/papers/2609.38840)
+
 - `final.ckpt` — PyTorch Lightning checkpoint (weights + model/data configuration, 223 MB),
   SHA-256 `58981767d498c5d9c4087276bc2853cb6d5c338fc5048d84b3d8f8c9cacf5f76`.
 - Trained for 25,000 steps on the 2025-01-30 CELLxGENE Census release (62.6 M cells, 478 datasets).
@@ -31,4 +35,4 @@ from huggingface_hub import hf_hub_download
 path = hf_hub_download("yunhak0/scTrilemma", "final.ckpt")
 ```
 
-See the GitHub README for the inference API (`embed_adata`, `reconstruct_adata`).
+See the GitHub README for the inference API (`embed_adata`, `reconstruct_adata`).