update cites

app.py

@@ -7,13 +7,12 @@ from src.display.css_html_js import custom_css, sort_table_js, get_foundation_cl
 CITATION_HTML = """
 <div style="max-width: 800px; margin: 30px auto 0 auto; padding: 20px; background: #f8f7ff; border-radius: 12px; border-left: 4px solid #5a3d8a;">
     <p style="margin: 0 0 12px 0; color: #5a3d8a; font-weight: 600;">📝 If you find this Leaderboard useful for your research, please star <a href="https://github.com/hao-ai-lab/d3llm" target="_blank" style="color: #5a3d8a;">our GitHub repo</a> and cite our work:</p>
-    <pre style="background: #fff; padding: 15px; border-radius: 8px; overflow-x: auto; font-size: 12px; margin: 0; color: #333; white-space: pre-wrap; word-wrap: break-word;">@article{preprint'25:d3llm,
-  author  = {Yu-Yang Qian and Junda Su and Lanxiang Hu and Peiyuan Zhang and Zhijie Deng and Peng Zhao and Hao Zhang},
-  title   = {d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation},
-  journal = {ArXiv preprint},
-  volume  = {to appear},
-  note    = {\\url{https://github.com/hao-ai-lab/d3LLM} [Accessed: 2025-12-11]},
-  year    = {2025}
+    <pre style="background: #fff; padding: 15px; border-radius: 8px; overflow-x: auto; font-size: 12px; margin: 0; color: #333; white-space: pre-wrap; word-wrap: break-word;">@article{arxiv'26:d3llm,
+    title   = {d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation},
+    author  = {Yu-Yang Qian and Junda Su and Lanxiang Hu and Peiyuan Zhang and Zhijie Deng and Peng Zhao and Hao Zhang},
+    journal = {ArXiv preprint},
+    volume  = {arXiv:2601.07568},
+    year    = {2026}
 }</pre>
 </div>
 """