mention paper in readme

README.md

@@ -55,9 +55,11 @@ configs:
 ---
 
 
-# 🌱⚙️ Environment Setup
+# 🌱⚙️ EnvBench
 
-This repository contains data associated with Environment Setup benchmark. It contains:
+This repository contains data associated with EnvBench benchmark from [**EnvBench: A Benchmark for Automated Environment Setup**](https://arxiv.org/abs/2503.14443).
+
+It contains:
 
 * statistics about repositories from GitHub Search under `ghs/data` folder;
 * several data splits under `splits` folder;
@@ -88,4 +90,18 @@ The list of 665 repositories from our benchmark is available in `splits/jvm_base
 4. We filter the repositories from previous step to keep only those without Docker-related configuration files: `splits/python_single_dm_in_root_folder_no_docker.jsonl`
 5. We filter the repositories from previous step to keep only those that our deterministic script couldn't configure correctly: `splits/python_baseline_failure.jsonl`
 
-The list of 329 repositories from our benchmark is available in `splits/python_baseline_failure.jsonl`. For convenience, the final set of Git repositories is also stored separately under `repos/final/python`.
+The list of 329 repositories from our benchmark is available in `splits/python_baseline_failure.jsonl`. For convenience, the final set of Git repositories is also stored separately under `repos/final/python`.
+
+## 📚 Citation
+
+If you find this work useful for your research, please consider the following citation:
+
+```
+@inproceedings{eliseeva2025envbench,
+    title={EnvBench: A Benchmark for Automated Environment Setup},
+    author={Aleksandra Eliseeva and Alexander Kovrigin and Ilia Kholkin and Egor Bogomolov and Yaroslav Zharov},
+    booktitle={ICLR 2025 Third Workshop on Deep Learning for Code},
+    year={2025},
+    url={https://openreview.net/forum?id=izy1oaAOeX}
+}
+```