Update model card

README.md

@@ -48,8 +48,8 @@ properties of biological visual systems.
 | Architecture | Type | Description |
 |-------------|------|-------------|
 | **DyRCNNx8** | Recurrent | 8-layer dynamic RCNN with configurable recurrence types (full, self, depthwise, pointwise) and feedback/skip connections |
-| **CorNet-RT** | Recurrent | CORnet model of the primate ventral visual stream with anatomically-inspired recurrent connections between areas V1, V2, V4, IT |
-| **CordsNet** | Feedforward | Scale-invariant contour integration network with pretrained weights |
+| **CorNet-RT** | Recurrent | CORnet model of the primate ventral visual stream with anatomically-inspired recurrent connections between areas V1, V2, V4, IT ([Kubilius et al., 2018](https://arxiv.org/abs/1909.06161)) |
+| **CordsNet** | Recurrent | Scale-invariant contour integration with recurrent dynamics ([Soo et al., 2024](https://github.com/wmws2/cordsnet)) |
 
 ### Training
 
@@ -90,7 +90,6 @@ models/
     {model_config}/
       {dataset}/
         trained-best.pt         # Best checkpoint weights
-        trained-epoch=N.pt      # Per-epoch checkpoints
         trained.pt.config.yaml  # Training hyperparameters
 
 reports/