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Paper Citation Record · LEDGER

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation

As of 18 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2603.19046.

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

pith.paper-citation-record.v1
2603.19046 v2

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measured 49 of 49 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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measured 1 of 1 external citation measurements

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Outbound references

Observation 7b02e9dd-f6f9-4ff7-abf0-bef7c0de5375 · outbound

This paper cites 2018, PASJ, 70, S4, doi: 10.1093/pasj/psx066 Astropy Collaboration, Robitaille, T.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2018, PASJ, 70, S4, doi: 10.1093/pasj/psx066 Astropy Collaboration, Robitaille, T

Reference 1

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Observation e2cfd123-0685-4b2c-a9ab-2b48074a79c2 · outbound

This paper cites 2001, Physics Reports, 340, 291, doi: 10.1016/S0370-1573(00)00082-X 16Lin et al.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2001, Physics Reports, 340, 291, doi: 10.1016/S0370-1573(00)00082-X 16Lin et al

Reference 2

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This paper cites Chromatic Effects on the PSF and Shear Measurement for the Roman Space Telescope High-Latitude Wide Area Survey.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation Chromatic Effects on the PSF and Shear Measurement for the Roman Space Telescope High-Latitude Wide Area Survey

Reference 3

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Observation a68a501f-d32a-4e23-ab7e-875d96e40b14 · outbound

This paper cites M., & Jarvis, M.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation M., & Jarvis, M

Reference 4

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Observation cba8a99d-38b7-49fe-a411-ca467c9af62d · outbound

This paper cites Group Equivariant Convolutional Networks.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation Group Equivariant Convolutional Networks

Reference 5

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This paper cites A., Schneider, M.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation A., Schneider, M

Reference 6

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Observation 3eecd159-2e6f-4a67-a4a6-d9c2797ab45d · outbound

This paper cites W., & Dambre, J.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation W., & Dambre, J

Reference 7

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

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Observation fd9c346f-8838-4a6f-a7d9-0cd844da91f4 · outbound

This paper cites 2016, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2016, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 9

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Observation 243f494e-1d4d-45d5-9560-7cebc26b473e · outbound

This paper cites Gaussian Error Linear Units (GELUs).

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation Gaussian Error Linear Units (GELUs)

Reference 10

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation Unresolved cited work

Reference 11

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Observation 19aad146-70e3-40ff-a6a1-bdc26b56969d · outbound

This paper cites Metacalibration: Direct Self-Calibration of Biases in Shear Measurement.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation Metacalibration: Direct Self-Calibration of Biases in Shear Measurement

Reference 12

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This paper cites 2000, The Astrophysical Journal, 537, 555, doi: 10.1086/309041.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2000, The Astrophysical Journal, 537, 555, doi: 10.1086/309041

Reference 13

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Observation 872be820-c1da-4c90-b4fa-ba54862c5180 · outbound

This paper cites E., Kevrekidis, I.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation E., Kevrekidis, I

Reference 14

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Observation 7db9bf3c-9ed8-4b66-b5a7-82c894ac04a2 · outbound

This paper cites Layer Normalization.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation Layer Normalization

Reference 15

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This paper cites 2025, arXiv e-prints, arXiv:2506.16607, doi: 10.48550/arXiv.2506.16607.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2025, arXiv e-prints, arXiv:2506.16607, doi: 10.48550/arXiv.2506.16607

Reference 16

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This paper cites 2018, MNRAS, 481, 4445, doi: 10.1093/mnras/sty2548.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2018, MNRAS, 481, 4445, doi: 10.1093/mnras/sty2548

Reference 17

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This paper cites 2022, MNRAS, 511, 4850, doi: 10.1093/mnras/stac342.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2022, MNRAS, 511, 4850, doi: 10.1093/mnras/stac342

Reference 18

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This paper cites 2023, MNRAS, 521, 4904, doi: 10.1093/mnras/stad890.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2023, MNRAS, 521, 4904, doi: 10.1093/mnras/stad890

Reference 19

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This paper cites 2024, MNRAS, 527, 10388, doi: 10.1093/mnras/stad3895.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2024, MNRAS, 527, 10388, doi: 10.1093/mnras/stad3895

Reference 20

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This paper cites 2025, MNRAS, 536, 3663, doi: 10.1093/mnras/stae2764.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2025, MNRAS, 536, 3663, doi: 10.1093/mnras/stae2764

Reference 21

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Observation 8c9aea4d-c98c-462a-8eb2-60750f394716 · outbound

This paper cites Decoupled Weight Decay Regularization.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation Decoupled Weight Decay Regularization

Reference 22

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This paper cites 2018, ARA&A, 56, 393, doi: 10.1146/annurev-astro-081817-051928.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2018, ARA&A, 56, 393, doi: 10.1146/annurev-astro-081817-051928

Reference 23

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This paper cites 2014, ApJS, 212, 5, doi: 10.1088/0067-0049/212/1/5.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2014, ApJS, 212, 5, doi: 10.1088/0067-0049/212/1/5

Reference 24

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This paper cites 2007, MNRAS, 376, 13, doi: 10.1111/j.1365-2966.2006.11315.x.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2007, MNRAS, 376, 13, doi: 10.1111/j.1365-2966.2006.11315.x

Reference 25

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This paper cites 1999, ARA&A, 37, 127, doi: 10.1146/annurev.astro.37.1.127.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 1999, ARA&A, 37, 127, doi: 10.1146/annurev.astro.37.1.127

Reference 26

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Observation 04a068ad-5463-4e2a-936c-db84a16dcd27 · outbound

This paper cites J., et al.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation J., et al

Reference 27

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This paper cites 2025, The Open Journal of Astrophysics, 8, 40, doi: 10.33232/001c.136809.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2025, The Open Journal of Astrophysics, 8, 40, doi: 10.33232/001c.136809

Reference 28

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification

Reference 29

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This paper cites 2022, Proceedings of the AAAI Conference on Artificial Intelligence, 36, 2071, doi: 10.1609/aaai.v36i2.20103.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2022, Proceedings of the AAAI Conference on Artificial Intelligence, 36, 2071, doi: 10.1609/aaai.v36i2.20103

Reference 30

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2020a, A&A, 643, A158, doi: 10.1051/0004-6361/202038658

Reference 31

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2019, A&A, 621, A2, doi: 10.1051/0004-6361/201833740

Reference 32

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2020b, A&A, 641, A164, doi: 10.1051/0004-6361/202038657

Reference 33

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2019, MNRAS, 489, 4847, doi: 10.1093/mnras/stz2374

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation Á., Zorrilla Matilla, J

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation GalSim: The modular galaxy image simulation toolkit

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation E., Hinton, G

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation Unresolved cited work

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation Unresolved cited work

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation Metadetection Weak Lensing for the Vera C. Rubin Observatory

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation S., Becker, M

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation S., & Huff, E

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation Wide-Field InfrarRed Survey Telescope-Astrophysics Focused Telescope Assets WFIRST-AFTA 2015 Report

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation The LSST Dark Energy Science Collaboration (DESC) Science Requirements Document

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2024, A&A, 683, A209, doi: 10.1051/0004-6361/202345903

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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation 2018, MNRAS, 481, 1149, doi: 10.1093/mnras/sty2219

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Slay the Shear: A Unified Statistical Framework for Weak Gravitational Lensing Shear Estimation cites this paper.

Slay the Shear: A Unified Statistical Framework for Weak Gravitational Lensing Shear Estimation D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation

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