Update toolathlon_data/README.md

toolathlon_data/README.md

@@ -97,6 +97,7 @@ All tasks in this dataset were synthesized by the DIVE pipeline against public d
 
 If you use this dataset, please cite the VibeTraining-Bench paper:
 
+
 ```bibtex
 @misc{peng2026vibetrainingbench,
   title         = {VibeTraining-Bench: Data-Trainer-Harness Co-Design for Iterative System Improvement},
@@ -108,6 +109,18 @@ If you use this dataset, please cite the VibeTraining-Bench paper:
 }
 ```
 
+```bibtex
+@article{202608.0051,
+  doi = {10.20944/preprints202608.0051.v1},
+  url = {https://www.preprints.org/manuscript/202608.0051},
+  year = 2026,
+  month = {August},
+  publisher = {Preprints},
+  author = {Shuaiqi Liu and Zhengkai Lin and Yuxiang Zhang and Yuanyi Ren and Yue Wu and Yongbin Li and Zheng Wang and Zhihang Fu and Jieping Ye},
+  title = {The Path to Recursive Self-Improving Agents: Foundation, Framework, and Future Directions},
+  journal = {Preprints}
+}
+
 ## Acknowledgements
 
 This dataset was produced with the DIVE synthesis recipe and its open domain toolsets. We thank the DIVE team and the Toolathlon organizers for the underlying benchmark.