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README.md

@@ -125,3 +125,28 @@ ollama run hf.co/mazafard/esco-gemma4-GGUF:q4_k_m
 - **Base Model**: Google Gemma 4 (4-bit QLoRA)
 - **Fine-Tuning Engine**: [Unsloth](https://github.com/unslothai/unsloth)
 - **Dataset**: European Commission ESCO Taxonomy v1.2.1
+
+## 📄 Citation
+
+To cite this project or the ESCO Taxonomy in academic research or applications, please use:
+
+```bibtex
+@misc{esco_taxonomy_2024,
+  author       = {{European Commission}},
+  title        = {European Skills, Competences, Qualifications and Occupations (ESCO) Dataset v1.2.1},
+  year         = {2024},
+  publisher    = {European Union Portal},
+  howpublished = {\url{https://esco.ec.europa.eu/}},
+  note         = {Accessed: 2026-05-26}
+}
+
+@software{gemma4_esco_finetune_2026,
+  author       = {Fard, Mohammadreza A.},
+  title        = {Parameter-Efficient Fine-Tuning (PEFT) and Telemetry Pipeline for Gemma-4 on ESCO Skill Inventories},
+  month        = may,
+  year         = {2026},
+  publisher    = {GitHub Repository},
+  version      = {1.0.0},
+  url          = {https://github.com/mazafard/esco-gemma4-pipeline}
+}
+```