Update README.md

README.md

@@ -148,34 +148,7 @@ box fields, are in [`VQA_realskyimages/README.md`](VQA_realskyimages/README.md).
 
 ---
 
-## Citation
-
-<!-- TODO: replace with the WASP 2026 paper reference once it is public. -->
-
-If you use this dataset, please reference the WASP 2026 paper:
-
-```bibtex
-@inproceedings{naimanWasp2026,
-  title     = {Star Light, Star Bright: Can Multimodal Models Parse an Astronomy Visual Question Answering Dataset Right?},
-  author    = {Naiman, J. P.},
-  booktitle = {The 4th Annual Workshop for Artificial Intelligence for Scientific Publications (WASP) 2026, International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL)},
-  year      = {2026},
-  url       = {https://openreview.net/forum?id=Y5pppSPFD0}
-}
-```
-
-**If you publish work using the `sky-real` figures, you inherit the
-acknowledgement obligations of the underlying surveys**, which are not waived
-by this repo's Apache 2.0 license. In particular SkyView asks to be cited, and
-the Digitized Sky Surveys — the largest single source here — carry their own
-acknowledgement requirements from STScI and the originating plate collections.
-Check the terms for the specific surveys in your subset; the metadata above
-tells you which those are.
 
-The Apache 2.0 license applies to the dataset as assembled: the synthetic
-figures, the generated questions and ground truth, and the model responses.
-
----
 
 ## Generating code
 
@@ -491,4 +464,33 @@ provenance: source `filename`, the original FITS `header`, `survey`,
 `telescope`, `instrument`, `object`, `bunit`, and the ADS-style bibcode of the
 paper the field was taken from (411 distinct source papers).
 
+---
+
+## Citation
+
+<!-- TODO: replace with the WASP 2026 paper reference once it is public. -->
+
+If you use this dataset, please reference the WASP 2026 paper:
+
+```bibtex
+@inproceedings{naimanWasp2026,
+  title     = {Star Light, Star Bright: Can Multimodal Models Parse an Astronomy Visual Question Answering Dataset Right?},
+  author    = {Naiman, J. P.},
+  booktitle = {The 4th Annual Workshop for Artificial Intelligence for Scientific Publications (WASP) 2026, International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL)},
+  year      = {2026},
+  url       = {https://openreview.net/forum?id=Y5pppSPFD0}
+}
+```
+
+**If you publish work using the `sky-real` figures, you inherit the
+acknowledgement obligations of the underlying surveys**, which are not waived
+by this repo's Apache 2.0 license. In particular SkyView asks to be cited, and
+the Digitized Sky Surveys — the largest single source here — carry their own
+acknowledgement requirements from STScI and the originating plate collections.
+Check the terms for the specific surveys in your subset; the metadata above
+tells you which those are.
+
+The Apache 2.0 license applies to the dataset as assembled: the synthetic
+figures, the generated questions and ground truth, and the model responses.
+