Paper Citation Record · LEDGER

Deep learning dark matter map reconstructions from DES SV weak lensing data

As of 15 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 4 inbound Pith citation observations for arXiv:1908.00543.

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

pith.paper-citation-record.v1
1908.00543 v2

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Reference resolution

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Outbound references

Observation 357deb40-07c0-41a6-9c5d-ac822a0d5d2e · outbound

This paper cites write newline.

Deep learning dark matter map reconstructions from DES SV weak lensing data write newline

Reference 1

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This paper cites write newline.

Deep learning dark matter map reconstructions from DES SV weak lensing data write newline

Reference 2

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Observation cdba45ee-7864-450d-941b-28a4be24905e · outbound

This paper cites N., 2013, Journal of Improbable Astronomy, 1, 1.

Deep learning dark matter map reconstructions from DES SV weak lensing data N., 2013, Journal of Improbable Astronomy, 1, 1

Reference 3

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This paper cites D., 2015, Journal of Interesting Stuff, 17, 198.

Deep learning dark matter map reconstructions from DES SV weak lensing data D., 2015, Journal of Interesting Stuff, 17, 198

Reference 4

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Observation 01967b92-b143-4870-baec-87ec57e1f366 · outbound

This paper cites B., 2014, The Example Journal, 12, 345 (Paper I).

Deep learning dark matter map reconstructions from DES SV weak lensing data B., 2014, The Example Journal, 12, 345 (Paper I)

Reference 5

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

Reference 6

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Observation 4bd782d2-a6d5-4135-80d1-efacdaa555fd · outbound

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

Reference 8

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This paper cites A., 2017, @doi [ ] 10.1103/PhysRevD.96.123510 , https://ui.adsabs.harvard.edu/abs/2017PhRvD..96l3510B 96, 123510.

Deep learning dark matter map reconstructions from DES SV weak lensing data A., 2017, @doi [ ] 10.1103/PhysRevD.96.123510 , https://ui.adsabs.harvard.edu/abs/2017PhRvD..96l3510B 96, 123510

Reference 9

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

Reference 10

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

Reference 11

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Observation eb03ce96-d76c-44fa-9cb2-5cc66242ca2a · outbound

This paper cites F., Jee M., Bouwens R., Ford H., 2006, @doi [ ] 10.1086/505530 , http://adsabs.harvard.edu/abs/2006AJ....132..926C 132, 926.

Deep learning dark matter map reconstructions from DES SV weak lensing data F., Jee M., Bouwens R., Ford H., 2006, @doi [ ] 10.1086/505530 , http://adsabs.harvard.edu/abs/2006AJ....132..926C 132, 926

Reference 12

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This paper cites J., Hu W., 1999, @doi [ ] 10.1086/306640 , https://ui.adsabs.harvard.edu/abs/1999ApJ...511....5E 511, 5.

Deep learning dark matter map reconstructions from DES SV weak lensing data J., Hu W., 1999, @doi [ ] 10.1086/306640 , https://ui.adsabs.harvard.edu/abs/1999ApJ...511....5E 511, 5

Reference 13

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

Reference 14

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This paper cites J., Crocce M., 2015, @doi [ ] 10.1093/mnras/stu2464 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.447.1319F 447, 1319.

Deep learning dark matter map reconstructions from DES SV weak lensing data J., Crocce M., 2015, @doi [ ] 10.1093/mnras/stu2464 , https://ui.adsabs.harvard.edu/abs/2015MNRAS.447.1319F 447, 1319

Reference 15

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This paper cites O'Reilly Media.

Deep learning dark matter map reconstructions from DES SV weak lensing data O'Reilly Media

Reference 16

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

Reference 17

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Observation b48693d9-9d7e-4517-9f98-51caafec7044 · outbound

This paper cites M., Hivon E., Banday A.

Deep learning dark matter map reconstructions from DES SV weak lensing data M., Hivon E., Banday A

Reference 18

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Observation 02dab9e9-950b-4e02-bf53-85d7cf14ef6e · outbound

This paper cites C., 2018, IEEE transactions on medical imaging, 37, 1418.

Deep learning dark matter map reconstructions from DES SV weak lensing data C., 2018, IEEE transactions on medical imaging, 37, 1418

Reference 19

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This paper cites J., 2015, @doi [A&C] 10.1016/j.ascom.2015.07.003 , https://ui.adsabs.harvard.edu/abs/2015A&C....12..109H 12, 109.

Deep learning dark matter map reconstructions from DES SV weak lensing data J., 2015, @doi [A&C] 10.1016/j.ascom.2015.07.003 , https://ui.adsabs.harvard.edu/abs/2015A&C....12..109H 12, 109

Reference 20

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Observation de14a005-5a2e-4843-ab2e-849ecfa0306c · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Deep learning dark matter map reconstructions from DES SV weak lensing data Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 21

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Observation b8b9b4c3-f862-4482-bf73-fe944a8258a7 · outbound

This paper cites T., 2003, Probability theory: the logic of science.

Deep learning dark matter map reconstructions from DES SV weak lensing data T., 2003, Probability theory: the logic of science

Reference 22

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

Reference 23

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

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This paper cites Adam: A Method for Stochastic Optimization.

Deep learning dark matter map reconstructions from DES SV weak lensing data Adam: A Method for Stochastic Optimization

Reference 27

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

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Deep learning dark matter map reconstructions from DES SV weak lensing data E., Denker J

Reference 30

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

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This paper cites Dark Energy Survey Year 1 Results: Wide field mass maps via forward fitting in harmonic space.

Deep learning dark matter map reconstructions from DES SV weak lensing data Dark Energy Survey Year 1 Results: Wide field mass maps via forward fitting in harmonic space

Reference 32

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This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Deep learning dark matter map reconstructions from DES SV weak lensing data U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 33

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

Reference 34

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Observation 5126fe0b-3c60-4bcd-8451-fa071c698311 · outbound

This paper cites Denoising Weak Lensing Mass Maps with Deep Learning.

Deep learning dark matter map reconstructions from DES SV weak lensing data Denoising Weak Lensing Mass Maps with Deep Learning

Reference 35

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

Reference 37

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This paper cites J., 2013, @doi [ ] 10.1088/1475-7516/2013/06/036 , https://ui.adsabs.harvard.edu/abs/2013JCAP...06..036T 2013, 036.

Deep learning dark matter map reconstructions from DES SV weak lensing data J., 2013, @doi [ ] 10.1088/1475-7516/2013/06/036 , https://ui.adsabs.harvard.edu/abs/2013JCAP...06..036T 2013, 036

Reference 38

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Deep learning dark matter map reconstructions from DES SV weak lensing data Unresolved cited work

Reference 39

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This paper cites C., Han Y., Cha E., 2018, SIAM Journal on Imaging Sciences, 11, 991.

Deep learning dark matter map reconstructions from DES SV weak lensing data C., Han Y., Cha E., 2018, SIAM Journal on Imaging Sciences, 11, 991

Reference 40

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This paper cites B., Lahav O., 1995, @doi [ ] 10.1086/176070 , http://adsabs.harvard.edu/abs/1995ApJ...449..446Z 449, 446.

Deep learning dark matter map reconstructions from DES SV weak lensing data B., Lahav O., 1995, @doi [ ] 10.1086/176070 , http://adsabs.harvard.edu/abs/1995ApJ...449..446Z 449, 446

Reference 41

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Pith citing papers

Observation daf219a7-88b9-4dcf-9f1b-166f68ee117c · inbound

Cosmological parameter estimation from large-scale structure deep learning cites this paper.

Cosmological parameter estimation from large-scale structure deep learning Deep learning dark matter map reconstructions from DES SV weak lensing data

Reference 31

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Observation 573ada2c-f3c9-476e-9268-5ed0c4e4e120 · inbound

AI-Powered Reconstruction of Dark Matter Velocity Fields from Redshift-Space Halo Distribution cites this paper.

AI-Powered Reconstruction of Dark Matter Velocity Fields from Redshift-Space Halo Distribution Deep learning dark matter map reconstructions from DES SV weak lensing data

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DECADE+DES Y3 Weak Lensing Mass Map: A 13,000 deg$^2$ View of Cosmic Structure from 270 Million Galaxies cites this paper.

DECADE+DES Y3 Weak Lensing Mass Map: A 13,000 deg$^2$ View of Cosmic Structure from 270 Million Galaxies Deep learning dark matter map reconstructions from DES SV weak lensing data

Reference 38

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Primordial Physics in the Nonlinear Universe: Revealing the oscillating halo bias from cosmological collider models cites this paper.

Primordial Physics in the Nonlinear Universe: Revealing the oscillating halo bias from cosmological collider models Deep learning dark matter map reconstructions from DES SV weak lensing data

Reference 101

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