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README.md

@@ -273,7 +273,7 @@ Not enough data per material class (would need 5,000+ per class). Use GPs.
 
 - **[FusionMatDB](https://github.com/Khalizo/fusionmatdb)** — The extraction pipeline that built this dataset
 
-- **FusionBAL** — Bayesian active learning for fusion experiment planning (loads this dataset as GP prior)
+- **[FusionGuide](https://github.com/Khalizo/fusionguide)** — AI experiment planner for fusion materials (loads this dataset as GP prior)
 - **[FusionUQ](https://github.com/Khalizo/fusionuq)** — Uncertainty quantification for ML interatomic potentials (calibrates against this dataset)
 
 ---
@@ -281,14 +281,13 @@ Not enough data per material class (would need 5,000+ per class). Use GPs.
 ## Citation
 
 ```bibtex
-@dataset{fusionmatdb2026,
-  title  = {FusionMatDB: An Open-Source Fusion Irradiation Materials Database},
-  author = {Khalidson, Babs},
-  year   = {2026},
-  doi    = {10.57967/hf/8386},
-  url    = {https://doi.org/10.57967/hf/8386},
-  note   = {Extracted from ORNL Fusion Materials Program semiannual progress
-            reports (1990--2024) using vision-based PDF extraction.}
+@misc{babs_khalidson_2026,
+    author       = { Babs Khalidson },
+    title        = { fusionmatdb (Revision d2f3a5a) },
+    year         = 2026,
+    url          = { https://huggingface.co/datasets/Khalizo/fusionmatdb },
+    doi          = { 10.57967/hf/8386 },
+    publisher    = { Hugging Face }
 }
 ```