Add Related Work (IJCAI survey, DeepMind SHOR-PSRO) and BibTeX citation

README.md

@@ -249,3 +249,26 @@ Trained on [Alogotron/GameTheory-Formulator](https://huggingface.co/datasets/Alo
   url={https://huggingface.co/Alogotron/GameTheory-Formulator-Model}
 }
 ```
+
+
+---
+
+## 📚 Related Work
+
+- **"Game Theory Meets Large Language Models: A Systematic Survey"** — IJCAI 2025 ([arxiv:2502.09053](https://arxiv.org/abs/2502.09053)) — The definitive survey on game theory × LLMs, covering RLHF alignment, multi-agent interactions, and strategic reasoning.
+- **DeepMind SHOR-PSRO** (April 2026) — LLM-driven rewriting of game theory algorithms that outperformed hand-designed baselines ([MarkTechPost](https://www.marktechpost.com/2026/04/03/google-deepminds-research-lets-an-llm-rewrite-its-own-game-theory-algorithms-and-it-outperformed-the-experts/)).
+- **GT-HarmBench** — Game-theoretic framing for AI safety benchmarking ([arxiv:2602.12316](https://arxiv.org/abs/2602.12316)).
+
+
+## 📄 Citation
+
+```bibtex
+@model{alogotron_gametheory_formulator_model_2026,
+  author    = {Alogotron},
+  title     = {GameTheory-Formulator-Model: Real-World Scenario to Formal Game Theory},
+  year      = {2026},
+  publisher = {Hugging Face},
+  url       = {https://huggingface.co/Alogotron/GameTheory-Formulator-Model},
+  note      = {Phase 3 formulation adapter achieving 100\% valid formulation rate}
+}
+```