Paper Citation Record · LEDGER

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields

As of 6 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2606.04991.

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

pith.paper-citation-record.v1
2606.04991 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T04:10:51.156920Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

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verified fuzzy0
unresolved8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7f8ec81-7363-4c62-b045-dcabc039222d · outbound

This paper cites Strong-to-weak shear transition in post-flare loops , author =.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Strong-to-weak shear transition in post-flare loops , author =

Reference 1

Resolution: verified exact; doi, observed 2026-06-28T04:11:37.755428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation df115437-3cb2-4007-a8ff-27f51f3123ac · outbound

This paper cites Predicting the evolution of photospheric magnetic field in solar active regions using deep learning.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Predicting the evolution of photospheric magnetic field in solar active regions using deep learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T04:10:51.156920Z

Source-reported events for the cited work

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Observation 2e30600b-9529-4b86-877f-fb92a327fba6 · outbound

This paper cites an unresolved cited work.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Unresolved cited work

Reference 3

Resolution: verified exact; doi, observed 2026-06-28T04:11:37.759588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bb60750b-bab8-4578-935f-f5dbec8125db · outbound

This paper cites Scheduled sampling for sequence prediction with recurrent neural networks.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Scheduled sampling for sequence prediction with recurrent neural networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T04:10:51.156920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1378c0cd-c813-40de-aef4-e97ed7338e11 · outbound

This paper cites an unresolved cited work.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T04:10:51.156920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc76479f-c2d6-487d-8b7e-3d6e829b2edd · outbound

This paper cites G., Sun, X., Hoeksema, J.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields G., Sun, X., Hoeksema, J

Reference 6

Resolution: verified exact; doi, observed 2026-06-28T04:11:37.743433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4e178b69-191e-4c34-b63e-79db3da852ca · outbound

This paper cites Statistical Analyses of Solar Active Region in SDO/HMI Magnetograms detected by Unsupervised Machine Learning Method DSARD.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Statistical Analyses of Solar Active Region in SDO/HMI Magnetograms detected by Unsupervised Machine Learning Method DSARD

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-28T04:11:37.771077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d1407236-cfd1-4a03-8e59-cd5cd289e9ed · outbound

This paper cites Covas, N.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Covas, N

Reference 8

Resolution: verified exact; doi, observed 2026-06-28T04:11:37.776779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f12c7357-66fe-46d2-aed9-da525a93bcc1 · outbound

This paper cites Transfer learning in spatial–temporal forecasting of the solar magnetic field.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Transfer learning in spatial–temporal forecasting of the solar magnetic field

Reference 9

Resolution: verified exact; doi, observed 2026-06-28T04:11:37.749208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3978d124-cdcc-45ca-a708-dd387109282e · outbound

This paper cites an unresolved cited work.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Unresolved cited work

Reference 10

Resolution: verified exact; doi, observed 2026-06-28T04:11:37.782828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dc544ef4-050a-430c-909c-90e0d66099d9 · outbound

This paper cites 415, Solar Prominences, ed.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields 415, Solar Prominences, ed

Reference 11

Resolution: verified exact; doi, observed 2026-06-28T04:11:37.745296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c776de69-6031-439a-9d80-166dadc8759d · outbound

This paper cites an unresolved cited work.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T04:10:51.156920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84cf2b78-b630-4129-82f5-a81d7255f15c · outbound

This paper cites Prediction of the next solar rotation synoptic maps using an artificial intelligence–based surface flux transport model.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Prediction of the next solar rotation synoptic maps using an artificial intelligence–based surface flux transport model

Reference 13

Resolution: verified exact; doi, observed 2026-06-28T04:11:37.764574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 222b4fbb-49fc-4c33-b8a8-f34c287547c0 · outbound

This paper cites Prediction of time- evolving radial magnetic fields on the solar surface using deep learning.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Prediction of time- evolving radial magnetic fields on the solar surface using deep learning

Reference 14

Resolution: verified exact; doi, observed 2026-06-28T04:11:37.750650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation abc70c60-d88c-426f-886a-e1efa87ae956 · outbound

This paper cites Jiang, R.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Jiang, R

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T04:10:51.156920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77006a2f-6016-4e60-bed1-0c8c09433cd2 · outbound

This paper cites Jiang, D.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Jiang, D

Reference 16

Resolution: verified exact; doi, observed 2026-06-28T04:11:37.779976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7627a027-9a35-4379-96e0-40869764f77e · outbound

This paper cites an unresolved cited work.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Unresolved cited work

Reference 17

Resolution: verified exact; doi, observed 2026-06-28T04:11:37.764388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f65780ae-2d25-4b6b-b02a-0e92f425364f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Adam: A Method for Stochastic Optimization

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-02T11:16:54.024824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 42ae62bd-63e5-47af-a27c-9f1216c63997 · outbound

This paper cites an unresolved cited work.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T04:10:51.156920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb479e1-6317-4f7b-9deb-fd22f75dc440 · outbound

This paper cites Magnetogram-to-Magnetogram: Generative Forecasting of Solar Evolution.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Magnetogram-to-Magnetogram: Generative Forecasting of Solar Evolution

Reference 20

Resolution: malformed identifier; arxiv_id, observed 2026-07-02T11:16:54.027793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 66f2cb23-6d5c-47b0-917c-a25afea9a8d3 · outbound

This paper cites M., Holman, G.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields M., Holman, G

Reference 21

Resolution: verified exact; doi, observed 2026-06-28T04:11:37.767891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation efb14e7b-b915-4300-89e6-71933ae65f48 · outbound

This paper cites Living Reviews in , author =.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Living Reviews in , author =

Reference 22

Resolution: metadata mismatch; doi, observed 2026-06-28T04:11:37.748268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 71f79703-da45-4e88-9b84-2b1696746048 · outbound

This paper cites Herschel-ATLAS: Toward a Sample of ˜1000 Strongly Lensed Galaxies.ApJ 749 (2012) 65.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Herschel-ATLAS: Toward a Sample of ˜1000 Strongly Lensed Galaxies.ApJ 749 (2012) 65

Reference 23

Resolution: malformed identifier; doi_truncated, observed 2026-06-28T04:11:37.773476Z

Source-reported events for the cited work

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Observation 242b97ca-76b3-47bd-b2c4-593a3d65bc78 · outbound

This paper cites an unresolved cited work.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T04:10:51.156920Z

Source-reported events for the cited work

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Observation ab5bc9c5-be57-45ee-8db4-eae707bd2a08 · outbound

This paper cites an unresolved cited work.

Deep Learning with Magnetic Parameter Constraints for Short-Term Prediction of Solar Active Region Vector Magnetic Fields Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T04:10:51.156920Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.