Update README.md

README.md

@@ -163,12 +163,12 @@ def fetch_and_extract(filename, target_dir):
 # Example: UFD view + StableSig masks
 fetch_and_extract("detectors/ufd_datasets.tar.xz", "/tmp/ufd")
 fetch_and_extract("masks/masks_stablesig.tar.xz", "/tmp/masks_stablesig")
-```python
+---
 
 Integrity check
-``` bash
+```bash
 sha256sum -c checksums.sha256
-``` bash
+---
 
 🧪 Provenance
 Reals: SEMI-TRUTHS (Pal et al. 2024), OpenImages subset.
@@ -180,9 +180,17 @@ Inpainting attacks: LaMa (Suvorov et al. 2022), ZITS (Dong et al. 2022).
 Watermarks: Stable Signature (Fernandez et al. 2023), Tree-Ring (Wen et al. 2023).
 
 Detector-specific preprocessing applied only at runtime, ensuring comparability.
-
+---
 📚 Citations
-(Keep your citation block here as before — unchanged.)
+If you use this dataset, please cite: 
+- Pal et al., 2024 — Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image Detectors. 
+- Ojha et al., 2023 — Universal Fake Image Detectors. 
+- Corvi et al., 2023 — On the Detection of Synthetic Images Generated by Diffusion Models. 
+- Wang et al., 2023 — DIRE for Diffusion-Generated Image Detection. 
+- Ricker et al., 2024 — AEROBLADE. Fernandez et al., 2023 — Stable Signature. 
+- Wen et al., 2023 — Tree-Ring Watermarks. 
+- Suvorov et al., 2022 — LaMa Inpainting. 
+- Rombach et al., 2022 — Latent Diffusion Models. Dong et al., 2022 — ZITS Inpainting.
 
 📝 License
 Derived datasets for research use only.