Restoration of contaminated data in an Intensity Mapping survey using deep neural networks | Paper Citation Record

Observation eb4bca3a-c956-4273-874d-5ba7061315ed · outbound

This paper cites G., Santos M.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks G., Santos M

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.010352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b9f1dae-2a80-4f77-8201-51028a48a41d · outbound

This paper cites G., Santos M.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks G., Santos M

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.047268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 952b56d3-b6c1-42f7-8f3d-0c356d97896e · outbound

This paper cites J., et al., 2018, @doi [ ] 10.1093/mnras/sty346 , http://adsabs.harvard.edu/abs/2018MNRAS.476.3382A 476, 3382.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks J., et al., 2018, @doi [ ] 10.1093/mnras/sty346 , http://adsabs.harvard.edu/abs/2018MNRAS.476.3382A 476, 3382

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.084761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 799833f8-9164-44f6-ad32-c54c2183be23 · outbound

This paper cites 21cm Intensity Mapping cross-correlation with galaxy surveys: current and forecasted cosmological parameters estimation for the SKAO.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks 21cm Intensity Mapping cross-correlation with galaxy surveys: current and forecasted cosmological parameters estimation for the SKAO

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.169858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e0c7767-8d3b-477a-9156-3c5566aa6626 · outbound

This paper cites K., Iliev I.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks K., Iliev I

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.220539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aa1fd0b-8a80-4f4a-9954-a61f71129551 · outbound

This paper cites A., et al., 2015, @doi [ ] 10.1093/mnras/stv2153 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.454.3240B 454, 3240.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks A., et al., 2015, @doi [ ] 10.1093/mnras/stv2153 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.454.3240B 454, 3240

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.266083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0997f520-39ad-4dee-8442-6d3a0839bd7b · outbound

This paper cites Detection of Cosmological 21 cm Emission with the Canadian Hydrogen Intensity Mapping Experiment.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Detection of Cosmological 21 cm Emission with the Canadian Hydrogen Intensity Mapping Experiment

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.444798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25e3642b-60d6-49d7-b7c3-3d2be83057a9 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.535850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28364f91-eb38-45f7-927b-4d9828e68c0e · outbound

This paper cites B., 2010, @doi [ ] 10.1038/nature09187 , http://adsabs.harvard.edu/abs/2010Natur.466..463C 466, 463.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks B., 2010, @doi [ ] 10.1038/nature09187 , http://adsabs.harvard.edu/abs/2010Natur.466..463C 466, 463

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.627000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d514f794-c0bb-48e4-b0d8-709486c87000 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:42:42.704244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 29ee9e8a-d67f-4790-adf0-c0c29f897d0d · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:42:42.549289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cc2e068b-e37a-4954-891f-32bcd171048e · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.931916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 317a6595-0578-42b9-9677-5fb7a2e3ac86 · outbound

This paper cites The DESI Experiment Part I: Science,Targeting, and Survey Design.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks The DESI Experiment Part I: Science,Targeting, and Survey Design

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.935626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5acbd7df-428f-48c5-8f12-b0186a878ca1 · outbound

This paper cites S., White S.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks S., White S

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.940220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c167b26-1801-4468-b6fd-4a3db9f854d1 · outbound

This paper cites R., et al., 2017, @doi [ ] 10.1088/1538-3873/129/974/045001 , https://ui.adsabs.harvard.edu/abs/2017PASP..129d5001D 129, 045001.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks R., et al., 2017, @doi [ ] 10.1088/1538-3873/129/974/045001 , https://ui.adsabs.harvard.edu/abs/2017PASP..129d5001D 129, 045001

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.943294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc55b7de-d7b9-4212-b4c6-4a738754830b · outbound

This paper cites Machine Learning and Cosmology.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Machine Learning and Cosmology

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.949622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c793c0a2-b21d-4385-a2a0-ceaa6c295e2b · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.953605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e43a8863-fc7c-4984-bab3-2fffa374e0a7 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.957043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4d96b14-46d8-43c4-98d2-eab98e89a053 · outbound

This paper cites R., 2012, @doi [ ] 10.1111/j.1365-2966.2012.20582.x , https://ui.adsabs.harvard.edu/abs/2012MNRAS.421.3570G 421, 3570.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks R., 2012, @doi [ ] 10.1111/j.1365-2966.2012.20582.x , https://ui.adsabs.harvard.edu/abs/2012MNRAS.421.3570G 421, 3570

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.960361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1c43aee-df30-4ee5-84fa-87e0097b8b64 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.963927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0910c69-abe1-4afe-ac50-e7a34315a6f7 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.967656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4037e6cc-ac29-4bfa-807c-4fdb781b565a · outbound

This paper cites LSST: from Science Drivers to Reference Design and Anticipated Data Products.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks LSST: from Science Drivers to Reference Design and Anticipated Data Products

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.971066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ce5cebb-bf1c-49cd-82d6-417b99680a96 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 27

Resolution: verified exact; doi, observed 2026-08-07T10:42:41.310441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f58cde3-fd0e-487c-b42a-50ba625a0cf8 · outbound

This paper cites H., et al., 2004, @doi [ ] 10.1111/j.1365-2966.2004.08353.x , http://adsabs.harvard.edu/abs/2004MNRAS.355..747J 355, 747.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks H., et al., 2004, @doi [ ] 10.1111/j.1365-2966.2004.08353.x , http://adsabs.harvard.edu/abs/2004MNRAS.355..747J 355, 747

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.978151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc7fc70-b465-47e4-9142-12e090d75313 · outbound

This paper cites H., et al., 2009, @doi [ ] 10.1111/j.1365-2966.2009.15338.x , http://adsabs.harvard.edu/abs/2009MNRAS.399..683J 399, 683.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks H., et al., 2009, @doi [ ] 10.1111/j.1365-2966.2009.15338.x , http://adsabs.harvard.edu/abs/2009MNRAS.399..683J 399, 683

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.981452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc097ec7-172d-476f-a558-949dd42772bf · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:42:42.378577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 52fa0607-f5ae-441f-ab06-22f4ff243ae8 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.987653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6df7e57c-4e5a-49f0-8d8a-84ab0ac950e2 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.991150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdd7c287-5ac5-4727-b3a4-2a8349b5018e · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.994162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4974043-8dae-4a38-a456-b29ee042af68 · outbound

This paper cites L., Lancaster L., Villaescusa-Navarro F., Melchior P., Ho S., Perreault-Levasseur L., Spergel D.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks L., Lancaster L., Villaescusa-Navarro F., Melchior P., Ho S., Perreault-Levasseur L., Spergel D

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.997045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f83c90c-5d89-4244-84a7-98218ddbe51d · outbound

This paper cites W., et al., 2013, @doi [ ] 10.1088/2041-8205/763/1/L20 , http://adsabs.harvard.edu/abs/2013ApJ...763L..20M 763, L20.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks W., et al., 2013, @doi [ ] 10.1088/2041-8205/763/1/L20 , http://adsabs.harvard.edu/abs/2013ApJ...763L..20M 763, L20

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.000471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f5e7de4-ec59-4096-823d-11565cfb9d8d · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.003978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5d774a9-6fe8-40ef-8d68-b84bbe264547 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.007359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c0afe20-4f44-4923-884d-b2c9d6e034d6 · outbound

This paper cites A LOFAR RFI detection pipeline and its first results.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks A LOFAR RFI detection pipeline and its first results

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.010477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4b05b1a-b320-43a3-97b6-68bb5e9c00db · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.013890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edfdcfe2-737e-4950-a064-1127a1e38715 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.016968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ced7ea8b-5435-4b27-b5b5-a204a57ef8d7 · outbound

This paper cites R., et al., 2010, @doi [ ] 10.1088/0004-6256/139/4/1468 , https://ui.adsabs.harvard.edu/abs/2010AJ....139.1468P 139, 1468.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks R., et al., 2010, @doi [ ] 10.1088/0004-6256/139/4/1468 , https://ui.adsabs.harvard.edu/abs/2010AJ....139.1468P 139, 1468

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.020159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96ad0ff9-9930-490e-b464-9f3d63e3d4a6 · outbound

This paper cites B., Chang T.-C., 2009, @doi [ ] 10.1111/j.1745-3933.2008.00581.x , http://adsabs.harvard.edu/abs/2009MNRAS.394L...6P 394, L6.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks B., Chang T.-C., 2009, @doi [ ] 10.1111/j.1745-3933.2008.00581.x , http://adsabs.harvard.edu/abs/2009MNRAS.394L...6P 394, L6

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.023211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9187e84d-f0c7-49e5-9e2a-f9c81b237df2 · outbound

This paper cites G., Cooray A., Knox L., 2005, , 625, 575.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks G., Cooray A., Knox L., 2005, , 625, 575

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:42:42.208824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f1c5cebf-1cc2-422b-8d14-c3c6670ace12 · outbound

This paper cites F., et al., 2006, @doi [ ] 10.1086/498708 , https://ui.adsabs.harvard.edu/abs/2006AJ....131.1163S 131, 1163.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks F., et al., 2006, @doi [ ] 10.1086/498708 , https://ui.adsabs.harvard.edu/abs/2006AJ....131.1163S 131, 1163

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.029550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9ea62e9-5513-4e67-93e9-c2567e88eeea · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.032365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c16ae8fa-46dc-4dc6-8a0d-4e9568165aaa · outbound

This paper cites Resolution-robust Large Mask Inpainting with Fourier Convolutions.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Resolution-robust Large Mask Inpainting with Fourier Convolutions

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.035221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e91d0fd-826a-4968-b1ae-9f8e0cf5030d · outbound

This paper cites R., et al., 2013, @doi [ ] 10.1093/mnrasl/slt074 , http://adsabs.harvard.edu/abs/2013MNRAS.434L..46S 434, L46.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks R., et al., 2013, @doi [ ] 10.1093/mnrasl/slt074 , http://adsabs.harvard.edu/abs/2013MNRAS.434L..46S 434, L46

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.038695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd69a1b5-8aeb-4b53-807e-be229716ccee · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.041725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f0fb860-5c54-455a-b517-9016d3f1b775 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:42:42.036482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 110cf305-2313-4517-8be8-e393a4120381 · outbound

This paper cites G., Knox L., 2006, @doi [ ] 10.1086/506597 , http://adsabs.harvard.edu/abs/2006ApJ...650..529W 650, 529.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks G., Knox L., 2006, @doi [ ] 10.1086/506597 , http://adsabs.harvard.edu/abs/2006ApJ...650..529W 650, 529

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.048010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21b521c9-ba27-4d32-8a59-d4ba0fcf5d98 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.051293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42082e7f-2dba-4166-a781-8b1c78e8b3c1 · outbound

This paper cites B., et al., 2018, @doi [ ] 10.1017/pasa.2018.37 , https://ui.adsabs.harvard.edu/abs/2018PASA...35...33W 35, e033.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks B., et al., 2018, @doi [ ] 10.1017/pasa.2018.37 , https://ui.adsabs.harvard.edu/abs/2018PASA...35...33W 35, e033

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.054581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f39dc11-2142-45b7-87b7-7f20d37d31fd · outbound

This paper cites B., Blake C., Shaw J.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks B., Blake C., Shaw J

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.057452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9c75365-684d-4ad1-a1a1-aba29f358ee1 · outbound

This paper cites L., et al., 2010, @doi [ ] 10.1088/0004-6256/140/6/1868 , https://ui.adsabs.harvard.edu/abs/2010AJ....140.1868W 140, 1868.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks L., et al., 2010, @doi [ ] 10.1088/0004-6256/140/6/1868 , https://ui.adsabs.harvard.edu/abs/2010AJ....140.1868W 140, 1868

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.060937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b256f56-3f3e-4f2b-82dc-8378a71adb55 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.064245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3552793-8479-4347-adfe-358316931045 · outbound

This paper cites G., et al., 2000, @doi [ ] 10.1086/301513 , http://adsabs.harvard.edu/abs/2000AJ....120.1579Y 120, 1579.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks G., et al., 2000, @doi [ ] 10.1086/301513 , http://adsabs.harvard.edu/abs/2000AJ....120.1579Y 120, 1579

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.066954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ca21f89-8b52-4aa5-a7c1-b0e616d126e8 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.070285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84b6254f-69f5-43ea-ba74-a0e8d1d3a3eb · outbound

This paper cites F., Karakci A., Korotkov A., Sutter P.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks F., Karakci A., Korotkov A., Sutter P

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.073260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2150fe90-ed92-4fb8-98c8-669192744117 · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 59

Resolution: verified exact; doi, observed 2026-08-07T10:42:41.136199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 681ca7d7-e603-4d1f-afe1-9a8e2dc10bcf · outbound

This paper cites an unresolved cited work.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks Unresolved cited work

Reference 60

Resolution: verified exact; doi, observed 2026-08-07T10:42:41.125363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 25ce00c3-a251-4cc6-9a94-46a5304a41b2 · outbound

This paper cites P., et al., 2013, @doi [ ] 10.1051/0004-6361/201220873 , https://ui.adsabs.harvard.edu/abs/2013A&A...556A...2V 556, A2.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks P., et al., 2013, @doi [ ] 10.1051/0004-6361/201220873 , https://ui.adsabs.harvard.edu/abs/2013A&A...556A...2V 556, A2

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.082315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4717165f-ca36-47d2-8ec2-ce163dc95d5e · outbound

This paper cites write newline.

Restoration of contaminated data in an Intensity Mapping survey using deep neural networks write newline

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:41.085206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers