Update README.md

README.md

@@ -27,6 +27,7 @@ across adjacent digital-twin states.
 | Resource | Link |
 |---|---|
 | Model | **You are here** |
+| Code | [github.com/kamranghz/medphygraph](https://github.com/kamranghz/medphygraph) |
 | Dataset | [MedPhyGraph/support-graph-data](https://huggingface.co/datasets/MedPhyGraph/support-graph-data) |
 | Project | [medphygraph.github.io](https://medphygraph.github.io/) |
 
@@ -120,7 +121,8 @@ MedPhyGraph then applies deterministic graph-maintenance components, including:
 2. **Union-Based Transition-Aware Consistency**
 
 These components are non-learned inference operations and are not encoded as
-separate model checkpoints.
+separate model checkpoints. The full reference implementation, including these
+consistency modules, is on GitHub: [kamranghz/medphygraph](https://github.com/kamranghz/medphygraph).
 
 In other words:
 
@@ -175,7 +177,9 @@ The model does not directly provide:
 - NVIDIA Isaac for Healthcare assets or scenes
 
 The complete MedPhyGraph method combines the learned scorer with deterministic
-graph-maintenance logic.
+graph-maintenance logic. See the GitHub repository —
+[kamranghz/medphygraph](https://github.com/kamranghz/medphygraph) — for the
+full implementation.
 
 ## Integrity
 
@@ -207,10 +211,11 @@ If you use CF-SupportNet, MedPhyGraph, or these released checkpoints, 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}
 }
 ```