Paper Citation Record · LEDGER

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey

As of 6 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2605.16762.

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pith.paper-citation-record.v1
2605.16762 v1

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Outbound references

Observation db6b2619-e830-44a8-bdbe-8b89ab1c4b41 · outbound

This paper cites The Hyper Suprime-Cam SSP Survey: Overview and Survey Design.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey The Hyper Suprime-Cam SSP Survey: Overview and Survey Design

Reference 1

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This paper cites 2022, Publ.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey 2022, Publ

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Observation fa6caa66-de91-4a53-9345-b47a68701b89 · outbound

This paper cites 2013, Living Reviews in Relativity, 16, 6, doi: 10.12942/lrr-2013-6.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey 2013, Living Reviews in Relativity, 16, 6, doi: 10.12942/lrr-2013-6

Reference 3

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Observation b92e4267-6f88-489e-80b6-eb6c3e813992 · outbound

This paper cites Baryon Acoustic Oscillations.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Baryon Acoustic Oscillations

Reference 4

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Observation 43f18355-3740-4ced-b809-09edfe200cf2 · outbound

This paper cites R., Lin, H., Lupton, R.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey R., Lin, H., Lupton, R

Reference 5

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Observation b5929800-7970-4a61-8c93-0ab3310d7319 · outbound

This paper cites B., van Dokkum, P.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey B., van Dokkum, P

Reference 6

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Observation dae67e4e-79ff-4342-847d-84666e175508 · outbound

This paper cites 2016, ARA&A, 54, 597, doi: 10.1146/annurev-astro-082214-122432.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey 2016, ARA&A, 54, 597, doi: 10.1146/annurev-astro-082214-122432

Reference 7

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Observation 075bfceb-54ac-4192-ba1a-f10d2702041e · outbound

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

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey The DESI Experiment Part I: Science,Targeting, and Survey Design

Reference 8

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Observation 9ab38da4-1e8c-4885-b7af-f20159db1186 · outbound

This paper cites and Dambre, Joni , year=.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey and Dambre, Joni , year=

Reference 9

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Observation b9467906-5603-4d8d-ae56-8e5a1a17847c · outbound

This paper cites A Concise Review of Transfer Learning.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey A Concise Review of Transfer Learning

Reference 10

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Observation 9b48f4df-4dd4-43b6-b5e4-6ebc8cd93e60 · outbound

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Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Unresolved cited work

Reference 11

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Observation 896f8f9f-b4ff-4329-82a6-394d56fd2e80 · outbound

This paper cites Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Reference 12

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Observation df7ed916-dbab-4765-a835-0e0367f1cf97 · outbound

This paper cites A., okas E.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey A., okas E

Reference 13

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This paper cites Bayesian Neural Networks: An Introduction and Survey.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Bayesian Neural Networks: An Introduction and Survey

Reference 14

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Observation ecb4eb8d-7210-4f58-b263-f9e7d5bb348b · outbound

This paper cites 2019, The Astrophysical Journal, 883, 203, doi: 10.3847/1538-4357/ab391e.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey 2019, The Astrophysical Journal, 883, 203, doi: 10.3847/1538-4357/ab391e

Reference 15

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Observation 926104fe-ae9c-4a98-8cf5-d4f95692187c · outbound

This paper cites 2025, Science China.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey 2025, Science China

Reference 16

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Observation e33a14aa-8cd6-4886-a33b-54610a8ac07c · outbound

This paper cites Future cosmology: New physics and opportunity from the China Space Station Telescope (CSST) , volume=.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Future cosmology: New physics and opportunity from the China Space Station Telescope (CSST) , volume=

Reference 17

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Observation bea32062-c555-423f-8ec7-48d3b7168504 · outbound

This paper cites J., Ruiz-Macias, O., et al.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey J., Ruiz-Macias, O., et al

Reference 18

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Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Unresolved cited work

Reference 19

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This paper cites 231, The Evolving Universe, ed.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey 231, The Evolving Universe, ed

Reference 20

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Observation 264f0c3e-7414-440c-a582-798dc5759628 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Deep Residual Learning for Image Recognition

Reference 21

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Observation f7c38854-fb82-4ac5-aeb1-3a1c6c9a0628 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Gaussian Error Linear Units (GELUs)

Reference 22

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Observation 0a7498a6-b157-449d-876a-fd964b1ee28a · outbound

This paper cites D., Perreault Levasseur, L., & Marshall, P.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey D., Perreault Levasseur, L., & Marshall, P

Reference 23

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Observation 99e7bb59-9555-4f07-963d-3ab2bfa5b236 · outbound

This paper cites 2009, PASP, 121, 59, doi: 10.1086/596715.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey 2009, PASP, 121, 59, doi: 10.1086/596715

Reference 24

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Observation ab3949db-b7d8-49dc-809e-6d32348ea102 · outbound

This paper cites Euclid Definition Study Report.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Euclid Definition Study Report

Reference 25

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Observation 39bcdd46-a8d0-48bf-94f9-4460e487b6a3 · outbound

This paper cites Deep learning.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Deep learning

Reference 26

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This paper cites Decoupled Weight Decay Regularization.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Decoupled Weight Decay Regularization

Reference 27

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Observation c1c040ff-b0d7-4e87-ab95-50fccfdf183e · outbound

This paper cites Cosmic Star Formation History.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Cosmic Star Formation History

Reference 28

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Observation b657fb6d-c953-49b3-aaf9-83497c41f9ac · outbound

This paper cites 2024, MNRAS, 531, 3991, doi: 10.1093/mnras/stae1370.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey 2024, MNRAS, 531, 3991, doi: 10.1093/mnras/stae1370

Reference 29

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This paper cites G., Brammer, G.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey G., Brammer, G

Reference 30

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This paper cites J., Bennett , C., et al.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey J., Bennett , C., et al

Reference 31

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This paper cites Bayesian Neural Networks.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Bayesian Neural Networks

Reference 32

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This paper cites A., & Gruen, D.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey A., & Gruen, D

Reference 33

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This paper cites A survey on transfer learning.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey A survey on transfer learning

Reference 34

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This paper cites A., et al.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey A., et al

Reference 35

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This paper cites Journal of the Optical Society of America (1917-1983) , year = 1972, month = jan, volume =.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Journal of the Optical Society of America (1917-1983) , year = 1972, month = jan, volume =

Reference 36

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Observation be0ec550-3869-4313-b298-7cd0de3c932b · outbound

This paper cites 2019, Nature Astronomy, 3, 212, doi: 10.1038/s41550-018-0478-0.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey 2019, Nature Astronomy, 3, 212, doi: 10.1038/s41550-018-0478-0

Reference 37

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This paper cites H., Mortonson, M.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey H., Mortonson, M

Reference 38

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This paper cites Deep slitless infrared spectroscopic surveys with HST/WFC3.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey Deep slitless infrared spectroscopic surveys with HST/WFC3

Reference 39

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Observation cddce16d-30d2-4b38-b98a-54f715fbb7ae · outbound

This paper cites A., et al.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey A., et al

Reference 40

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This paper cites 2024, ApJ, 977, 69, doi: 10.3847/1538-4357/ad8bbf.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey 2024, ApJ, 977, 69, doi: 10.3847/1538-4357/ad8bbf

Reference 41

Resolution: verified exact; doi, observed 2026-05-19T19:52:44.316735Z

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Observation da015b2c-221d-4362-ab83-c156c6f07b39 · outbound

This paper cites 2021, IEEE Proceedings, 109, 43, doi: 10.1109/JPROC.2020.3004555.

Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey 2021, IEEE Proceedings, 109, 43, doi: 10.1109/JPROC.2020.3004555

Reference 42

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Pith citing papers

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