Update README.md

README.md

@@ -32,6 +32,7 @@ easier to inspect, reuse, and reproduce.
 | Resource | Link |
 |---|---|
 | Dataset | **You are here** |
+| Code | [github.com/kamranghz/medphygraph](https://github.com/kamranghz/medphygraph) |
 | Model | [MedPhyGraph/CF-SupportNet](https://huggingface.co/MedPhyGraph/CF-SupportNet) |
 | Project | [medphygraph.github.io](https://medphygraph.github.io/) |
 
@@ -290,7 +291,8 @@ In addition to the learned scorer, MedPhyGraph applies deterministic
 maintain support relations across adjacent digital-twin states.
 
 These deterministic components are part of the MedPhyGraph inference pipeline
-and are not separate learned checkpoints.
+and are not separate learned checkpoints. The full reference implementation is
+on GitHub: [kamranghz/medphygraph](https://github.com/kamranghz/medphygraph).
 
 ---
 
@@ -322,10 +324,11 @@ NVIDIA's own license terms.
 If you use MedPhyGraph or these released artifacts, please cite:
 
 ```bibtex
-@inproceedings{gholizadeh2026medphygraph,
-  title     = {MedPhyGraph: Counterfactual Support-Graph Maintenance for Dynamic Built-Environment Digital Twins},
+@InProceedings{gholizadeh2026medphygraph,
   author    = {Gholizadeh HamlAbadi, Kamran and Vahdati, Monica and El Saddik, Abdulmotaleb},
-  booktitle = {TwinWorld: Visual Intelligence for Built Environment Digital Twins, ECCV 2026 Workshop},
-  year      = {2026}
+  title     = {MedPhyGraph: Counterfactual Support-Graph Maintenance for Dynamic Built-Environment Digital Twins},
+  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV) Workshops (TwinWorld: Visual Intelligence for Built Environment Digital Twins)},
+  year      = {2026},
+  note      = {To appear}
 }
 ```