Add model card, pipeline tag, and links to paper/code

This PR adds a model card for the paper *Self-conditioned Flow Map Language Models via Fixed-point Flows*. It configures the `text-generation` pipeline tag to make the model discoverable on the Hugging Face Hub, and provides links to both the paper and the official GitHub repository.

README.md

@@ -1,3 +1,34 @@
 ---
 license: mit
+pipeline_tag: text-generation
 ---
+
+# Self-Conditioned Flow Map Language Models via Fixed-Point Flows
+
+This repository contains checkpoints for **ELF**, **ELF\***, and **FMLM\*** introduced in the paper [Self-conditioned Flow Map Language Models via Fixed-point Flows](https://huggingface.co/papers/2607.00714).
+
+All models use the **ELF-B** backbone (12 layers, hidden 768, 12 heads, ~105M parameters).
+
+## Released Models
+- **ELF**: Self-conditioned flow teacher.
+- **ELF\***: Self-conditioning-free fixed-point denoiser (CDEQ).
+- **FMLM\***: Few-step flow map (two-time denoiser).
+
+## Code and Usage
+
+The official codebase for training, evaluation, and sampling instructions can be found on GitHub:
+👉 [self-conditioned-fmlm GitHub Repository](https://github.com/Ugness/self-conditioned-fmlm)
+
+### Citation
+
+If you find this work useful, please consider citing:
+
+```bibtex
+@article{yoo2026selfconditioned,
+    title={Self-Conditioned Flow Map Language Models via Fixed-Point Flows},
+    author={Jaehoon Yoo and Wonjung Kim and Floor Eijkelboom and Chanhyuk Lee
+            and Nicholas M. Boffi and Seunghoon Hong and Jinwoo Kim},
+    journal={arXiv preprint arXiv:2607.00714},
+    year={2026},
+}
+```