Update README.md

README.md

@@ -1,14 +1,16 @@
----
-license: mit
-task_categories:
-- tabular-classification
-tags:
-- software
-size_categories:
-- 10K<n<100K
----
-
-# FuzzDistill Dataset Explanation
+---
+license: mit
+task_categories:
+- tabular-classification
+tags:
+- software
+size_categories:
+- 10K<n<100K
+paper:
+- arxiv.org/abs/2412.08100
+---
+
+# Function and BasicBlock Binary Classification Features based on NIST Juliet1.3 C/C++
 
 The final Basic Block and Function features are extracted in Semicolon-Separated Values (SSV) format.
 
@@ -125,4 +127,23 @@ $$
 That means that only one of \( N \) or \( M \) can have the value of \( 1 \) at any given time.
 If \( N \) is set to \( 1 \), \( M \) must be set to \( 0 \), and vice versa.
 
-We can use this relationship to check the functionality of our BB compiler pass and sanity of our training dataset.
+We can use this relationship to check the functionality of our BB compiler pass and sanity of our training dataset.
+
+---
+
+## Cite
+
+If you utilize this project or any portion thereof, please ensure proper citation of the following work:
+
+```text
+@misc{upadhyay2024fuzzdistillintelligentfuzzingtarget,
+      title={FuzzDistill: Intelligent Fuzzing Target Selection using Compile-Time Analysis and Machine Learning}, 
+      author={Saket Upadhyay},
+      year={2024},
+      eprint={2412.08100},
+      archivePrefix={arXiv},
+      primaryClass={cs.SE},
+      url={https://arxiv.org/abs/2412.08100}, 
+}
+```
+