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Source: paper_references, paper_reference_links, observed 2026-08-11T23:36:13.319077Z
Paper Citation Record · LEDGER
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR
As of 16 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 4 inbound Pith citation observations for arXiv:2412.02390.
A citation records a reference. It does not transfer a finding from one paper to another.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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Reference resolution
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Outbound references
Observation 4e59c27d-342f-4cb0-acbf-db5cede6ab0d · outbound
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Reference 1
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This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 3
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Deep Learning using Rectified Linear Units (ReLU)
Reference 4
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This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 5
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This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
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This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 7
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Observation eb57b58c-31c4-4641-8ed6-fae88a207521 · outbound
This paper cites M., 1994, IEEE Computer Society.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR M., 1994, IEEE Computer Society
Reference 8
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Observation 771114dd-3fca-41c0-808f-069a7a74bb16 · outbound
This paper cites D., et al., 2016, in American Astronomical Society Meeting Abstracts \#228.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR D., et al., 2016, in American Astronomical Society Meeting Abstracts \#228
Reference 9
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Observation bc7cfd24-a3a2-4120-a88e-578d7f32ccb0 · outbound
This paper cites Weight Uncertainty in Neural Networks.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Weight Uncertainty in Neural Networks
Reference 10
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Observation c04502bc-c31d-4b2c-b4f9-f66e20e76406 · outbound
This paper cites M., Pell \'o R., 2000, , https://ui.adsabs.harvard.edu/abs/2000A&A...363..476B 363, 476.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR M., Pell \'o R., 2000, , https://ui.adsabs.harvard.edu/abs/2000A&A...363..476B 363, 476
Reference 11
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Observation f5f466ea-7ba1-4ae8-987d-ff1f50008974 · outbound
This paper cites B., van Dokkum P.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR B., van Dokkum P
Reference 12
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Observation c957a085-04f8-4b83-a419-14b3cf367fdc · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 13
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This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 14
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR A., Lahav O., 2004, Publications of the Astronomical Society of the Pacific, 116, 345
Reference 15
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Observation de3c5e8e-d3b4-4050-9425-c36d5123ee73 · outbound
This paper cites The DESI Experiment Part I: Science,Targeting, and Survey Design.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR The DESI Experiment Part I: Science,Targeting, and Survey Design
Reference 16
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Observation 52903afd-313e-4b03-b0e7-1011a5e6eacf · outbound
This paper cites The Early Data Release of the Dark Energy Spectroscopic Instrument.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR The Early Data Release of the Dark Energy Spectroscopic Instrument
Reference 17
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This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 18
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Observation 81689a72-0354-446b-9ed5-6666c7ff43d9 · outbound
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Density estimation using Real NVP
Reference 19
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Observation e13c8262-9029-417d-a606-9d512e0fa77e · outbound
This paper cites M., Yahil A., 1999, @doi [ ] 10.1086/306847 , https://ui.adsabs.harvard.edu/abs/1999ApJ...513...34F 513, 34.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR M., Yahil A., 1999, @doi [ ] 10.1086/306847 , https://ui.adsabs.harvard.edu/abs/1999ApJ...513...34F 513, 34
Reference 20
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR E., Lahav O., Somerville R
Reference 21
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Observation f567bf7b-b5e1-4c02-8ce8-ad844b519f78 · outbound
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Reference 22
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Observation 7e231a15-f0df-4455-bed9-29411baf9ae5 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 23
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Observation 65acebb7-894f-42f1-bec9-9a6230cac673 · outbound
This paper cites MADE: Masked Autoencoder for Distribution Estimation.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR MADE: Masked Autoencoder for Distribution Estimation
Reference 24
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This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 25
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Deep Residual Learning for Image Recognition
Reference 26
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This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 27
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Observation 3306490c-f162-49bc-8df9-e4645995c2bf · outbound
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR J., Volpi R., Marinelli D., Malag \`o L., 2020, @doi [ ] 10.1103/PhysRevD.102.103509 , https://ui.adsabs.harvard.edu/abs/2020PhRvD.102j3509H 102, 103509
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR J., 1964, @doi [The Annals of Mathematical Statistics] 10.1214/aoms/1177703732 , 35, 73
Reference 29
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This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 30
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Reference 31
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Variational Inference with Normalizing Flows
Reference 32
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Observation ecabd3c4-c39e-442a-8468-b16dac5d5dc0 · outbound
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Improving Photometric Redshift Estimation for Cosmology with LSST using Bayesian Neural Networks
Reference 33
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Adam: A Method for Stochastic Optimization
Reference 34
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 35
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Observation 147982aa-5157-421f-99e2-87d85df6c9e6 · outbound
This paper cites S., Flach P., 2017, in Singh A., Zhu J., eds, Proceedings of Machine Learning Research Vol.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR S., Flach P., 2017, in Singh A., Zhu J., eds, Proceedings of Machine Learning Research Vol
Reference 36
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Observation c902880a-2afd-42fa-9c70-192831b059fc · outbound
This paper cites Large Synoptic Survey Telescope: Dark Energy Science Collaboration.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Large Synoptic Survey Telescope: Dark Energy Science Collaboration
Reference 37
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Observation 7affaefc-d406-459c-8e69-aa34d57f3e22 · outbound
This paper cites M., Yahil A., Fern \'a ndez-Soto A., 1996, @doi [ ] 10.1038/381759a0 , https://ui.adsabs.harvard.edu/abs/1996Natur.381..759L 381, 759.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR M., Yahil A., Fern \'a ndez-Soto A., 1996, @doi [ ] 10.1038/381759a0 , https://ui.adsabs.harvard.edu/abs/1996Natur.381..759L 381, 759
Reference 38
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Euclid Definition Study Report
Reference 39
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Source-reported events for the cited work
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Observation 59c50f19-7bf8-4ef2-a787-8a6052b6c96e · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 40
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Source-reported events for the cited work
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Observation f59a3549-c887-4d33-b618-331a2449ebe1 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 41
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Source-reported events for the cited work
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Observation 8ee414c8-1616-4a36-8a78-0e4d85dd5fd8 · outbound
This paper cites J., et al., 2007, @doi [ ] 10.1086/516589 , https://ui.adsabs.harvard.edu/abs/2007ApJS..172...70L 172, 70.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR J., et al., 2007, @doi [ ] 10.1086/516589 , https://ui.adsabs.harvard.edu/abs/2007ApJS..172...70L 172, 70
Reference 42
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c77cab9d-b774-4d2f-9935-78a921e50ce4 · outbound
This paper cites Z., et al., 2023, @doi [ ] 10.1051/0004-6361/202243978 , https://ui.adsabs.harvard.edu/abs/2023A&A...669A.128L 669, A128.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Z., et al., 2023, @doi [ ] 10.1051/0004-6361/202243978 , https://ui.adsabs.harvard.edu/abs/2023A&A...669A.128L 669, A128
Reference 43
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e899b855-ea3a-4a67-86bc-c73cc0a5da66 · outbound
This paper cites Multiplicative Normalizing Flows for Variational Bayesian Neural Networks.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
Reference 44
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9864e44-3c56-4c2c-a657-cf42c6ca8c20 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 45
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Observation c6b00690-2d83-4c02-9439-dcf50bc56adf · outbound
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR The Wide-field Spectroscopic Telescope (WST) Science White Paper
Reference 46
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99b74199-89c0-4396-8a8b-c3637d41fd4f · outbound
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Reference 47
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Source-reported events for the cited work
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Observation 17e8f92e-6c72-49b7-8063-e2bb2a03a134 · outbound
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Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR A., Gruen D., 2022, @doi [ ] 10.1146/annurev-astro-032122-014611 , https://ui.adsabs.harvard.edu/abs/2022ARA&A..60..363N 60, 363
Reference 48
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4235cc3-57bb-437a-b5e0-9ef17c6c23e7 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 49
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d1d44ad-d452-43c1-b1fd-b105830a627d · outbound
This paper cites D., Wechsler R.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR D., Wechsler R
Reference 50
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a1085647-ff05-4e60-971c-ebe32bf9cf5b · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 51
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b643049d-76ce-408a-8ff4-620c78fefb84 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 52
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d437a81c-cf29-410d-b5df-3bc0e15df28d · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 53
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4a6f5d9-8930-4ea1-9235-d9f16832cc21 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d12c9c9-700e-4208-8397-342c753fe112 · outbound
This paper cites B., Lahav O., 2016, Publications of the Astronomical Society of the Pacific, 128, 104502.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR B., Lahav O., 2016, Publications of the Astronomical Society of the Pacific, 128, 104502
Reference 55
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ad11952f-52c9-4253-8c71-eef10de275d0 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 56
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6823f5a8-c36c-4527-84b2-32b1a98f857d · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 57
- Resolution
- verified exact
- doi, observed 2026-08-11T23:36:13.444737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7ff34cb2-1b53-4967-873d-f768031c9950 · outbound
This paper cites The MegaMapper: A Stage-5 Spectroscopic Instrument Concept for the Study of Inflation and Dark Energy.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR The MegaMapper: A Stage-5 Spectroscopic Instrument Concept for the Study of Inflation and Dark Energy
Reference 58
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a80c731-3975-4bc7-a488-d49416639a8d · outbound
This paper cites R., et al., 2016, in American Astronomical Society Meeting Abstracts \#228.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR R., et al., 2016, in American Astronomical Society Meeting Abstracts \#228
Reference 59
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ce54b87d-0497-412b-a846-31cf8c9db5e4 · outbound
This paper cites Characterising Improvements in Photometric Redshift Probability Density Functions with Galaxy Morphology.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Characterising Improvements in Photometric Redshift Probability Density Functions with Galaxy Morphology
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T23:36:13.725051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e831143d-9ddb-4a98-b876-3ca5ee9fb3d4 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 61
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 634e7040-f5af-496a-9ff9-acad0c34bb45 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 62
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3442f65-6237-45d5-8f00-39c2c36ae5a3 · outbound
This paper cites Springer Berlin Heidelberg, Berlin, Heidelberg, pp 226--234.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Springer Berlin Heidelberg, Berlin, Heidelberg, pp 226--234
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:36:14.133206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d1b0886d-f4e7-4d14-a407-6e57c1dbc278 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 64
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 122a6a62-1706-422d-b18b-bcfd383b3482 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 65
- Resolution
- verified exact
- doi, observed 2026-08-11T23:36:13.413952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cbc76e9b-ab4f-4c6d-84a4-07943d539f87 · outbound
This paper cites CBAM: Convolutional Block Attention Module.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR CBAM: Convolutional Block Attention Module
Reference 66
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0cfe1e8-2710-4f24-9972-e51ec2850c84 · 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.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR L., et al., 2010, @doi [ ] 10.1088/0004-6256/140/6/1868 , https://ui.adsabs.harvard.edu/abs/2010AJ....140.1868W 140, 1868
Reference 67
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b8979fb-9556-4129-84c5-5a7e55ed358e · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 68
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 723fbc32-6045-4750-966a-c11a9c4e152a · outbound
This paper cites pp E1.16--4--18.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR pp E1.16--4--18
Reference 69
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 204982a1-4aa0-4927-bdcc-d780d06b6e42 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 70
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaef8b89-c13f-480d-afda-3a13df2e2191 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 71
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94a08ec2-daf3-4df9-87a3-eac85b339328 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 72
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d56dd08a-86ae-4dc0-a127-ecb6a3b2a8e9 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 73
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ef5ba0a-5aaf-4aeb-8162-3be6a065689b · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 74
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b576f023-26e0-457f-9f1d-bf66f870f554 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 75
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 108bc0ff-3810-4e89-8e11-3ddf0730bb91 · outbound
This paper cites an unresolved cited work.
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR Unresolved cited work
Reference 76
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 0858e984-3951-4bff-8dd4-86c10d3550f4 · inbound
Velocity Reconstruction from KSZ: Measuring $f_{NL}$ with ACT and DESILS cites this paper.
Velocity Reconstruction from KSZ: Measuring $f_{NL}$ with ACT and DESILS Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR
Reference 73
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9f37197-20a3-427b-b868-385d96a2a6cf · inbound
Infrared-enhanced Photometric Redshifts for the Dark Energy Survey Y6 Gold catalogue cites this paper.
Infrared-enhanced Photometric Redshifts for the Dark Energy Survey Y6 Gold catalogue Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 15abd6f8-33e4-4069-bdbc-5ecdea8e3961 · inbound
Uncertainty-Aware Tidal Disruption Event Classification : A Host-Agnostic Probabilistic Random Forest Approach cites this paper.
Uncertainty-Aware Tidal Disruption Event Classification : A Host-Agnostic Probabilistic Random Forest Approach Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR
Reference 69
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb66d6a2-2fcf-4085-88fc-761f1ed90863 · inbound
FLAGS II: Constraining Galaxy Formation Models with Dimensionality Reduction of Direct Observables cites this paper.
FLAGS II: Constraining Galaxy Formation Models with Dimensionality Reduction of Direct Observables Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR
Reference 188
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.