Paper Citation Record · LEDGER

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2605.25634.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2605.25634 v1

Coverage vector

measured 41 of 41 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Outbound references

Observation 0b5c3870-cd0a-46a8-9688-c9fa95b2d195 · outbound

This paper cites S., & Jones, H.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun S., & Jones, H

Reference 1

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Observation b818d5e2-a6d5-48e0-9e2c-bfb070881910 · outbound

This paper cites an unresolved cited work.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun Unresolved cited work

Reference 2

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.413062Z

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Observation 30a880af-d908-4f77-9377-53f35e382156 · outbound

This paper cites H., Fontenla, J.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun H., Fontenla, J

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T20:51:32.427312Z

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Observation 0c2d4d99-230f-4873-8376-bc03e38b42cd · outbound

This paper cites 2008, ApJ, 677, 742, doi: 10.1086/528680.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2008, ApJ, 677, 742, doi: 10.1086/528680

Reference 4

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.435738Z

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Observation 8586a72d-73e6-463b-8070-95922dcf72cb · outbound

This paper cites P., Peter, H., Solanki, S.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun P., Peter, H., Solanki, S

Reference 5

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.405822Z

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Observation 8ba58149-e4b8-49bb-a8cf-dca1c57199bd · outbound

This paper cites R., & Cao, W.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun R., & Cao, W

Reference 6

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.456237Z

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Observation 8917b6cc-7847-4049-afc7-5870266a7181 · outbound

This paper cites N., Acton, L.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun N., Acton, L

Reference 7

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.449025Z

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Observation 1971e376-b21b-4eb5-8616-27176c6aa3b6 · outbound

This paper cites 2021, RAA, 21, 105, doi: 10.1088/1674-4527/21/4/105.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2021, RAA, 21, 105, doi: 10.1088/1674-4527/21/4/105

Reference 8

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.397046Z

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Observation 0372d118-9bed-43dd-a022-f1179fc98c4b · outbound

This paper cites 2024, ApJ, 964, 157, doi: 10.3847/1538-4357/ad2e9d.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2024, ApJ, 964, 157, doi: 10.3847/1538-4357/ad2e9d

Reference 9

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.416937Z

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Observation be70721f-66ca-40d4-b015-bcd1b23b6387 · outbound

This paper cites Deep residual learning for image recognition.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun Deep residual learning for image recognition

Reference 10

Resolution: metadata mismatch; doi, observed 2026-06-29T20:53:57.402393Z

Source-reported events for the cited work

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Observation 3f75bc26-6348-4d46-ab6e-10be970dbde5 · outbound

This paper cites 2022, ApJ, 928, 153, doi: 10.3847/1538-4357/ac590c.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2022, ApJ, 928, 153, doi: 10.3847/1538-4357/ac590c

Reference 11

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.362494Z

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Observation 5e4ae8b7-0a60-4852-b7d9-f4147c08002e · outbound

This paper cites 2017, RAA, 17, 25, doi: 10.1088/1674-4527/17/3/25.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2017, RAA, 17, 25, doi: 10.1088/1674-4527/17/3/25

Reference 12

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.400020Z

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Observation c3fd512a-a024-45dd-a4dd-a1a22d66a29b · outbound

This paper cites an unresolved cited work.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun Unresolved cited work

Reference 13

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.414648Z

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Observation 7a6451d2-c47b-40c3-a6a9-7d65f23ed952 · outbound

This paper cites an unresolved cited work.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun Unresolved cited work

Reference 14

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.419825Z

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Observation 7a177444-cb7b-4b97-a291-4ee812cd6750 · outbound

This paper cites 2025, A&A, 696, A3, doi: 10.1051/0004-6361/202453355.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2025, A&A, 696, A3, doi: 10.1051/0004-6361/202453355

Reference 15

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.367921Z

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Observation b67d6e01-c24d-4263-92b2-2b1e14c6d67c · outbound

This paper cites Title , A.M.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun Title , A.M

Reference 16

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.414869Z

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Observation e6580ffc-402e-473e-8844-c6431f3ba8aa · outbound

This paper cites 2016, ApJ, 826, 217, doi: 10.3847/0004-637X/826/2/217.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2016, ApJ, 826, 217, doi: 10.3847/0004-637X/826/2/217

Reference 17

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.393242Z

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Observation ec7d2f80-bcbc-408d-99cd-ed4530e6e891 · outbound

This paper cites P., Leenaarts, J., et al.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun P., Leenaarts, J., et al

Reference 18

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.455483Z

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Observation 288c64a2-d2e0-4e38-85bc-e9f87d7b030e · outbound

This paper cites an unresolved cited work.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun Unresolved cited work

Reference 19

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.419450Z

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Observation 9586562a-9813-4bff-ae0b-4b6a4b33aac4 · outbound

This paper cites 2022, Research in Astronomy and Astrophysics, 22, 095005, doi: 10.1088/1674-4527/ac7cba.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2022, Research in Astronomy and Astrophysics, 22, 095005, doi: 10.1088/1674-4527/ac7cba

Reference 20

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.472427Z

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Observation de9d0af3-abaa-4830-98cc-b0ef21e123cc · outbound

This paper cites 2014, RAA, 14, 705, doi: 10.1088/1674-4527/14/6/009.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2014, RAA, 14, 705, doi: 10.1088/1674-4527/14/6/009

Reference 21

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.411262Z

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Observation cade5547-9960-4b04-aee1-2a2c3f850172 · outbound

This paper cites , year =.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun , year =

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:53:57.417639Z

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Observation 6721a9f1-14b1-47ea-ae35-94e787238687 · outbound

This paper cites title =.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun title =

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T20:53:57.466424Z

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Observation cbaf8b7d-2e12-4c3d-b7f2-82cbc2772e57 · outbound

This paper cites 2024, RAA, 24, 055008, doi: 10.1088/1674-4527/ad37f4.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2024, RAA, 24, 055008, doi: 10.1088/1674-4527/ad37f4

Reference 24

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.412869Z

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Observation 2e9e06d2-3251-4094-940b-d172b8091d81 · outbound

This paper cites Astrophys.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun Astrophys

Reference 25

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.467789Z

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Observation 62c33a28-6f69-48f5-98a1-df75bb160fcf · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 26

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Observation 65f177c2-d11d-47e6-8d2e-100bed169876 · outbound

This paper cites Thompson , B.J.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun Thompson , B.J

Reference 27

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.366285Z

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Observation 8168c395-11d7-4af2-a40f-a4aeb0d2a5f5 · outbound

This paper cites Innovative Telescopes and Instrumentation for Solar Astrophysics , year = 2003, editor =.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun Innovative Telescopes and Instrumentation for Solar Astrophysics , year = 2003, editor =

Reference 28

Resolution: metadata mismatch; doi, observed 2026-06-29T20:53:57.364244Z

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Observation 3fa2875f-c190-444b-8dde-977eb95f909a · outbound

This paper cites Scherrer , P.H.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun Scherrer , P.H

Reference 29

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.394388Z

Source-reported events for the cited work

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Observation 8fe755c8-6ec6-4900-8992-4a23c8478b8d · outbound

This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T20:53:57.461674Z

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Observation 7dcfeb6a-ff3a-4584-8175-64e25e69c74a · outbound

This paper cites E., Del Zanna, G., & Young, P.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun E., Del Zanna, G., & Young, P

Reference 31

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.408787Z

Source-reported events for the cited work

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Observation 14c74624-88d4-4cf2-8d84-5115fb31d345 · outbound

This paper cites E., Avrett, E.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun E., Avrett, E

Reference 32

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.459453Z

Source-reported events for the cited work

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Observation 563cdf8e-d6d8-47bb-91c0-435bb16efe8a · outbound

This paper cites 2025, ApJ, 982, 161, doi: 10.3847/1538-4357/adbaec.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2025, ApJ, 982, 161, doi: 10.3847/1538-4357/adbaec

Reference 33

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.470042Z

Source-reported events for the cited work

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Observation 27e87759-60f7-4028-af94-b9fc6c079555 · outbound

This paper cites 2023, A&A, 672, A173, doi: 10.1051/0004-6361/202244607.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2023, A&A, 672, A173, doi: 10.1051/0004-6361/202244607

Reference 34

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.403693Z

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Observation d9b9c3d3-d7dc-4bd3-98e2-630923c3b92f · outbound

This paper cites 2021, ApJ, 913, 59, doi: 10.3847/1538-4357/abf2b9.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2021, ApJ, 913, 59, doi: 10.3847/1538-4357/abf2b9

Reference 35

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.396935Z

Source-reported events for the cited work

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Observation 6405a51e-035f-4f07-870b-2ec320170808 · outbound

This paper cites 2016, ApJL, 820, L13, doi: 10.3847/2041-8205/820/1/L13.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2016, ApJL, 820, L13, doi: 10.3847/2041-8205/820/1/L13

Reference 36

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.464075Z

Source-reported events for the cited work

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Observation 17e4b946-7592-4892-be43-d63130bbf1b1 · outbound

This paper cites Journal of Physical and Chemical Reference Data , keywords =.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun Journal of Physical and Chemical Reference Data , keywords =

Reference 37

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.461793Z

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correction dated 2009-12-31. Source: crossref record 10.1063/1.3254213->10.1063/1.3077727:correction, observed 2026-07-11T02:58:41.36937+00:00. This notice travels one citation hop only.

Observation 0456a5b7-4acf-4c7c-bd87-2fcbd06bca2e · outbound

This paper cites S., et al.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun S., et al

Reference 38

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.432907Z

Source-reported events for the cited work

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Observation c2b0650b-67f4-4111-983d-c7952b81fdc4 · outbound

This paper cites 2016, PhD thesis, New Jersey Institute of Technology.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2016, PhD thesis, New Jersey Institute of Technology

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-29T20:51:32.427312Z

Source-reported events for the cited work

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Observation faad0805-3c42-4465-98a4-24a7acb4e830 · outbound

This paper cites 2013, ApJL, 769, L33, doi: 10.1088/2041-8205/769/2/L33.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun 2013, ApJL, 769, L33, doi: 10.1088/2041-8205/769/2/L33

Reference 40

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.451749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3c520f5a-0749-4b95-b7a5-d5eeb2514357 · outbound

This paper cites R., & Cao, W.

Machine Learning-based Separation of the He I 10830{\AA} Chromospheric Signal: Quantitative Analysis of Chromosphere-Corona Intensity in the Quiet Sun R., & Cao, W

Reference 41

Resolution: verified exact; doi, observed 2026-06-29T20:53:57.409374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.