Paper Citation Record · LEDGER

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2507.17882.

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

pith.paper-citation-record.v1
2507.17882 v2

Coverage vector

measured 38 of 38 reference resolution

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External citation measurements

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Outbound references

Observation db4aa989-f97a-4e70-8755-b3cfb40fa24f · outbound

This paper cites 2015, https://www.tensorflow.org/.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 2015, https://www.tensorflow.org/

Reference 1

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This paper cites F., Argudo-Fern´ andez, M., et al.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys F., Argudo-Fern´ andez, M., et al

Reference 2

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Observation de9a71fd-081f-4c25-bb5f-61a627512a39 · outbound

This paper cites Autoencoders.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys Autoencoders

Reference 3

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Observation a72a6773-ccd9-4b83-b416-f389221430d0 · outbound

This paper cites 2021, MNRAS, 500, 1633, doi: 10.1093/mnras/staa2587.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 2021, MNRAS, 500, 1633, doi: 10.1093/mnras/staa2587

Reference 4

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Observation 71f53ae7-6048-44e4-9e94-9ecb8834a64d · outbound

This paper cites 2011, Computing in Science Engineering, 13, 31, doi: 10.1109/MCSE.2010.118.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 2011, Computing in Science Engineering, 13, 31, doi: 10.1109/MCSE.2010.118

Reference 5

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Observation c47e503e-cb6c-4928-a771-2685aa4ad08d · outbound

This paper cites Representation Learning: A Review and New Perspectives.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys Representation Learning: A Review and New Perspectives

Reference 6

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Observation 36920637-0d55-48a9-9d6a-478b777d3ffa · outbound

This paper cites 1994, IEEE Transactions on Neural Networks, 5, 157, doi: 10.1109/72.279181.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 1994, IEEE Transactions on Neural Networks, 5, 157, doi: 10.1109/72.279181

Reference 7

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Observation a2e9dbe5-1512-4cc1-ae89-eddda5ab39af · outbound

This paper cites 1988, Biological Cybernetics, 59, 291, doi: 10.1007/BF00332918.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 1988, Biological Cybernetics, 59, 291, doi: 10.1007/BF00332918

Reference 8

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This paper cites 2018,, 0.3.13 http://github.com/google/jax.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 2018,, 0.3.13 http://github.com/google/jax

Reference 9

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Observation 092c6146-4cb6-41f6-9b89-821a5033a250 · outbound

This paper cites The Pan-STARRS1 Surveys.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys The Pan-STARRS1 Surveys

Reference 10

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Observation e63afda4-a2b9-4098-a819-4bf01ca09255 · outbound

This paper cites 2015,, https://keras.io.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 2015,, https://keras.io

Reference 11

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Observation d804aa85-e570-4fb4-863b-87c670b69c30 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 12

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This paper cites 2013, Python and HDF5 (O’Reilly).

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 2013, Python and HDF5 (O’Reilly)

Reference 13

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This paper cites 2024,, v2.18.0 Zenodo, doi: 10.5281/zenodo.13989084 Gaia Collaboration, Vallenari, A., Brown, A.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 2024,, v2.18.0 Zenodo, doi: 10.5281/zenodo.13989084 Gaia Collaboration, Vallenari, A., Brown, A

Reference 14

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This paper cites 2021, Monthly Notices of the Royal Astronomical Society, 509, 990–1009, doi: 10.1093/mnras/stab3044.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 2021, Monthly Notices of the Royal Astronomical Society, 509, 990–1009, doi: 10.1093/mnras/stab3044

Reference 15

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Observation 9fd9c9be-7895-47e0-8557-0d2e89bb93d6 · outbound

This paper cites R., Millman, K.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys R., Millman, K

Reference 16

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This paper cites E., & Zemel, R.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys E., & Zemel, R

Reference 17

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This paper cites 1997, Neural Computation, 9, 1735, doi: 10.1162/neco.1997.9.8.1735.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 1997, Neural Computation, 9, 1735, doi: 10.1162/neco.1997.9.8.1735

Reference 18

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A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys Unresolved cited work

Reference 19

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This paper cites Adam: A Method for Stochastic Optimization.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys Adam: A Method for Stochastic Optimization

Reference 20

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This paper cites 1987, PhD thesis: Modeles connexionnistes de l’apprentissage (connectionist learning models) (Universite P.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 1987, PhD thesis: Modeles connexionnistes de l’apprentissage (connectionist learning models) (Universite P

Reference 21

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A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys Unresolved cited work

Reference 22

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This paper cites H., White, R.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys H., White, R

Reference 23

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This paper cites Scikit-learn: Machine Learning in Python.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys Scikit-learn: Machine Learning in Python

Reference 24

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This paper cites C., Santos, M., Rodrigues, P., & Henriques Abreu, P.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys C., Santos, M., Rodrigues, P., & Henriques Abreu, P

Reference 25

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This paper cites 2012, Early Stopping — But When?, ed.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 2012, Early Stopping — But When?, ed

Reference 26

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A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 2025, The Astronomical Journal, 169, 332, doi: 10.3847/1538-3881/adcf26

Reference 27

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This paper cites 1988, in Readings in Cognitive Science, ed.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 1988, in Readings in Cognitive Science, ed

Reference 28

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This paper cites F., & Finkbeiner, D.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys F., & Finkbeiner, D

Reference 29

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A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys J., Finkbeiner, D

Reference 31

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A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 2023, Monthly Notices of the Royal Astronomical Society, 520, 2269, doi: 10.1093/mnras/stad255 Van Rossum, G., & Drake, F

Reference 32

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A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys Unresolved cited work

Reference 33

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A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys E., et al

Reference 34

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A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 2024,, v1.2 Zenodo, doi: 10.5281/zenodo.13225824

Reference 35

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A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys Unresolved cited work

Reference 36

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Reference 37

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This paper cites 2000, Astronomy and Astrophysics Supplement Series, 143, 9–22, doi: 10.1051/aas:2000332 Wes McKinney.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys 2000, Astronomy and Astrophysics Supplement Series, 143, 9–22, doi: 10.1051/aas:2000332 Wes McKinney

Reference 38

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This paper cites o r t h o g o n a l.

A Wavelength-Aware Unsupervised Learning Approach for Large, Multicolor, Photometric Surveys o r t h o g o n a l

Reference 39

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