Paper Citation Record · LEDGER

Using deep learning to characterize single-exposure double-line spectroscopic binaries

As of 21 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2507.12363.

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pith.paper-citation-record.v1
2507.12363 v1

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Outbound references

Observation e029c2b6-93eb-46f5-885d-12a0bf3de753 · outbound

This paper cites M., Lim, P.

Using deep learning to characterize single-exposure double-line spectroscopic binaries M., Lim, P

Reference 1

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This paper cites & Gies, D.

Using deep learning to characterize single-exposure double-line spectroscopic binaries & Gies, D

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Using deep learning to characterize single-exposure double-line spectroscopic binaries Unresolved cited work

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Observation 54920119-4a49-425f-8f4d-6a55731ce78b · outbound

This paper cites Machine Learning in Astronomy: a practical overview.

Using deep learning to characterize single-exposure double-line spectroscopic binaries Machine Learning in Astronomy: a practical overview

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Observation ee9ef6d7-b723-4f40-8a8c-33d4f3821eea · outbound

This paper cites 2020, A&A, 642, A146.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2020, A&A, 642, A146

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Using deep learning to characterize single-exposure double-line spectroscopic binaries Unresolved cited work

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Observation 1ea5b69f-8feb-46d4-9b56-ff47bf089cf5 · outbound

This paper cites 2018, A&A, 616, A5.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2018, A&A, 616, A5

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Observation 1bf4e970-4312-43f3-bdeb-7099c031c80e · outbound

This paper cites 2012, Res.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2012, Res

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Observation 784c8880-1ca4-4f86-945f-b5c047afff50 · outbound

This paper cites P., et al.

Using deep learning to characterize single-exposure double-line spectroscopic binaries P., et al

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Observation ca52f398-a485-4462-b2c1-d844841d9c74 · outbound

This paper cites 2016, A&A, 594, A68 de Jong, R.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2016, A&A, 594, A68 de Jong, R

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Observation 2c334dcd-a9d6-4718-91bf-b99ffe4012e6 · outbound

This paper cites 2009, in 2009 IEEE Conference on Com- puter Vision and Pattern Recognition, 248–255.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2009, in 2009 IEEE Conference on Com- puter Vision and Pattern Recognition, 248–255

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Observation 9c329163-aae0-469b-b22a-7528419f89db · outbound

This paper cites 2022, AJ, 163, 237.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2022, AJ, 163, 237

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Observation a2e9da32-4c42-4b8b-a42f-85f0a9a29d51 · outbound

This paper cites 2022, MNRAS, 512, 5620.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2022, MNRAS, 512, 5620

Reference 13

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Observation 2833538a-7465-48f8-b8a5-d847c8fec0ca · outbound

This paper cites 2018b, MNRAS, 476, 528 Gaia Collaboration, Prusti, T., de Bruijne, J.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2018b, MNRAS, 476, 528 Gaia Collaboration, Prusti, T., de Bruijne, J

Reference 14

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This paper cites 2022, Open As- tron., 31, 38.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2022, Open As- tron., 31, 38

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Observation 0358527f-6bd1-40e5-966f-0232f1a61e7a · outbound

This paper cites 2012, The Messenger, 147, 25.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2012, The Messenger, 147, 25

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Observation 9105e5e8-abfa-4778-8e1a-0cbb7383e125 · outbound

This paper cites 2004, PAICz, 92, 15.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2004, PAICz, 92, 15

Reference 17

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Observation 55b9b017-e33f-4a92-8911-c2ac98e429da · outbound

This paper cites R., Millman, K.

Using deep learning to characterize single-exposure double-line spectroscopic binaries R., Millman, K

Reference 18

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Observation ec42c015-01f8-485c-b4ba-c8e74e3188b9 · outbound

This paper cites 1993, in Astronomical Society of the Pacific Conference Series, V ol.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 1993, in Astronomical Society of the Pacific Conference Series, V ol

Reference 19

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Using deep learning to characterize single-exposure double-line spectroscopic binaries Unresolved cited work

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Observation a9f5f7f8-4f2e-43ce-a1fc-2f96e73edbe7 · outbound

This paper cites O., Wende-von Berg, S., Dreizler, S., et al.

Using deep learning to characterize single-exposure double-line spectroscopic binaries O., Wende-von Berg, S., Dreizler, S., et al

Reference 21

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Observation 9429384d-fa68-4cec-b76d-a00c384b342d · outbound

This paper cites Half a Million Binary Stars from the low resolution spectra of LAMOST.

Using deep learning to characterize single-exposure double-line spectroscopic binaries Half a Million Binary Stars from the low resolution spectra of LAMOST

Reference 22

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Observation 5a4c69cf-1a10-4a5a-adb5-06942ae9ff24 · outbound

This paper cites 2019, Open Astron., 28, 68.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2019, Open Astron., 28, 68

Reference 23

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Observation d3c2db66-fa07-4de2-8194-1e8fe16b1819 · outbound

This paper cites 2010, in EAS Publications Series, V ol.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2010, in EAS Publications Series, V ol

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Observation 183df03e-cdc1-44f2-99fb-764cb7a54f76 · outbound

This paper cites 2023, A&A, 674, A5.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2023, A&A, 674, A5

Reference 25

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This paper cites Adam: A Method for Stochastic Optimization.

Using deep learning to characterize single-exposure double-line spectroscopic binaries Adam: A Method for Stochastic Optimization

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Using deep learning to characterize single-exposure double-line spectroscopic binaries R., Stassun, K

Reference 27

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Observation 6be43464-5ab0-4534-bd85-b28d216b4792 · outbound

This paper cites 2022, MNRAS, 517, 356.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2022, MNRAS, 517, 356

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Observation bd8fc599-dd50-41fc-9bd8-cfdeb3890cc0 · outbound

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Using deep learning to characterize single-exposure double-line spectroscopic binaries & Straumit, I

Reference 29

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This paper cites 2024, MNRAS, 527, 521.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2024, MNRAS, 527, 521

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This paper cites LAMOST Medium-Resolution Spectroscopic Survey (LAMOST-MRS): Scientific goals and survey plan.

Using deep learning to characterize single-exposure double-line spectroscopic binaries LAMOST Medium-Resolution Spectroscopic Survey (LAMOST-MRS): Scientific goals and survey plan

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Using deep learning to characterize single-exposure double-line spectroscopic binaries N., Omukai, K., Matsumoto, T., & Inutsuka, S.-I

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Using deep learning to characterize single-exposure double-line spectroscopic binaries R., Schiavon, R

Reference 34

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Using deep learning to characterize single-exposure double-line spectroscopic binaries 2013, The Messenger, 154, 47

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Using deep learning to characterize single-exposure double-line spectroscopic binaries A., et al

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Using deep learning to characterize single-exposure double-line spectroscopic binaries P., Järvinen, S., & Weber, M

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Using deep learning to characterize single-exposure double-line spectroscopic binaries 2023, A&A, 674, A6

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Using deep learning to characterize single-exposure double-line spectroscopic binaries 2020, Astrophysics Source Code Library, ascl:2007.022

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This paper cites 2020, A&A, 643, A122.

Using deep learning to characterize single-exposure double-line spectroscopic binaries 2020, A&A, 643, A122

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Using deep learning to characterize single-exposure double-line spectroscopic binaries E., et al

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Using deep learning to characterize single-exposure double-line spectroscopic binaries H., Nikolaou, N., Coronica, P., et al

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Using deep learning to characterize single-exposure double-line spectroscopic binaries 2022, ApJS, 258, 26

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Using deep learning to characterize single-exposure double-line spectroscopic binaries & Giryes, R

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Using deep learning to characterize single-exposure double-line spectroscopic binaries & Mazeh, T

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