Update README.md

README.md

@@ -25,9 +25,9 @@ license_link: LICENSE
 **CinemaCLIP** is a [MobileCLIP-S1](https://huggingface.co/apple/MobileCLIP-S1-OpenCLIP) fine-tune specialized for understanding the visual language of cinema at a frame level. It is a hybrid CLIP model with 23 classifier heads that represent a comprehensive taxonomy built with domain experts. For more info, see our [launch blog post](https://www.ozu.ai/cinemaclip).
 
 This repository ships three serialized forms of the same model:
-- **Torch** (`model.safetensors`) — load via the `cinemaclip` Python package.
-- **CoreML** (`ImageEncoder.mlmodel`, `ImageEncoder.mlpackage` and `TextEncoder.mlpackage`) — for on-device Apple Neural Engine inference.
-- **ONNX** (`ImageEncoder.onnx`, `TextEncoder.onnx`, plus `_fp16` variants) — for cross-platform inference.
+- **Torch** (`model.safetensors`): load via the `cinemaclip` Python package.
+- **CoreML** (`ImageEncoder.mlmodel`, `ImageEncoder.mlpackage` and `TextEncoder.mlpackage`): on-device Apple Neural Engine inference.
+- **ONNX** (`ImageEncoder.onnx`, `TextEncoder.onnx`, plus `_fp16` variants): cross-platform inference.
 
 ## Install
 
@@ -167,9 +167,12 @@ The `shot.lighting.direction` head ships in the classifier heads but has been ex
 
 ```bibtex
 @misc{cinemaclip2026,
-  title  = {CinemaCLIP: A hybrid CLIP model and taxonomy for the visual language of cinema},
-  author = {Somani, Rahul and Marini, Anton and Stewart, Damian},
-  year   = {2026},
-  howpublished = {\url{https://huggingface.co/ozu-technology/CinemaCLIP}}
+  title        = {CinemaCLIP: A hybrid CLIP model and taxonomy for the visual language of cinema},
+  author       = {Somani, Rahul and Marini, Anton and Stewart, Damian},
+  year         = {2026},
+  publisher    = {HuggingFace},
+  doi          = {10.57967/hf/8539},
+  howpublished = {\url{https://huggingface.co/OZU-Technology/CinemaCLIP}},
+  note         = {Model weights and taxonomy}
 }
 ```