Add attribution to original BSA2BSCA paper

README.md

@@ -24,6 +24,10 @@ Benchmark dataset for evaluating **Binary Software Composition Analysis (SCA)**
 
 10 real-world stripped ELF binaries with ground-truth component labels. Used to evaluate embedding-based SCA systems that match binary functions against open-source code.
 
+> **Attribution:** The binaries and ground-truth labels in this dataset are derived and refined from the artifact of the paper:
+> *"Are We There Yet? Filling the Gap Between Binary Similarity Analysis and Binary Software Composition Analysis"*
+> — Artifact: https://sites.google.com/view/bsa2bsca/home/artifact
+
 ### Fields
 
 | Field | Type | Description |
@@ -103,6 +107,15 @@ F1        = 2 * P * R / (P + R)
 
 ## Citation
 
+If you use this dataset, please also cite the original paper from which the binaries and ground truth were derived:
+
+```
+@inproceedings{bsa2bsca,
+  title={Are We There Yet? Filling the Gap Between Binary Similarity Analysis and Binary Software Composition Analysis},
+  url={https://sites.google.com/view/bsa2bsca/home/artifact}
+}
+```
+
 ```
 @misc{bsca-benchmark-2026,
   title={BSCA SCA Benchmark v1},