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Paper Citation Record · LEDGER
A machine learning approach to estimate mid-infrared fluxes from WISE data
As of 12 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2411.13321.
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Pith citing papers itemized under the disclosed page cap.
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Outbound references
Observation 75098019-8972-44a1-9ae2-00e307f751e5 · outbound
This paper cites 2020, PyCaret: An open source, low-code machine learning library in Python, pyCaret version 1.0.0.
A machine learning approach to estimate mid-infrared fluxes from WISE data 2020, PyCaret: An open source, low-code machine learning library in Python, pyCaret version 1.0.0
Reference 1
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This paper cites 2014, ApJ, 782, 51.
A machine learning approach to estimate mid-infrared fluxes from WISE data 2014, ApJ, 782, 51
Reference 2
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Observation 2a220c96-4a26-41fb-8244-2e040b6c5e0c · outbound
This paper cites Machine Learning in Astronomy: a practical overview.
A machine learning approach to estimate mid-infrared fluxes from WISE data Machine Learning in Astronomy: a practical overview
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This paper cites 2008, A&A, 492, 277.
A machine learning approach to estimate mid-infrared fluxes from WISE data 2008, A&A, 492, 277
Reference 5
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Reference 6
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A machine learning approach to estimate mid-infrared fluxes from WISE data & Bengio, Y
Reference 7
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Observation 232693bf-b6f1-456f-9685-a4808ec1d8b6 · outbound
This paper cites 1994, Mixture density networks, Tech.
A machine learning approach to estimate mid-infrared fluxes from WISE data 1994, Mixture density networks, Tech
Reference 8
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Reference 9
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Observation bbc17378-8972-4bb0-b1dc-56e65c87cdff · outbound
This paper cites 2001, Machine Learning, 45, 5.
A machine learning approach to estimate mid-infrared fluxes from WISE data 2001, Machine Learning, 45, 5
Reference 10
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A machine learning approach to estimate mid-infrared fluxes from WISE data J., & Olshen, R
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This paper cites J., Noriega-Crespo, A., Mizuno, D.
A machine learning approach to estimate mid-infrared fluxes from WISE data J., Noriega-Crespo, A., Mizuno, D
Reference 12
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A machine learning approach to estimate mid-infrared fluxes from WISE data & Sahin, F
Reference 13
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A machine learning approach to estimate mid-infrared fluxes from WISE data O., Scaife, A
Reference 14
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A machine learning approach to estimate mid-infrared fluxes from WISE data M., Wright, E
Reference 15
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A machine learning approach to estimate mid-infrared fluxes from WISE data H., Hoard, D
Reference 16
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A machine learning approach to estimate mid-infrared fluxes from WISE data P., & Debes, J
Reference 17
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This paper cites 2020, A&A, 634, A57.
A machine learning approach to estimate mid-infrared fluxes from WISE data 2020, A&A, 634, A57
Reference 18
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A machine learning approach to estimate mid-infrared fluxes from WISE data Y ., et al
Reference 19
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A machine learning approach to estimate mid-infrared fluxes from WISE data & Tibshirani, R
Reference 20
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Reference 21
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This paper cites P., Mather, J.
A machine learning approach to estimate mid-infrared fluxes from WISE data P., Mather, J
Reference 22
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A machine learning approach to estimate mid-infrared fluxes from WISE data S., Cope, D., Ip, J., et al
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This paper cites 2006, Machine Learning, 63, 3.
A machine learning approach to estimate mid-infrared fluxes from WISE data 2006, Machine Learning, 63, 3
Reference 24
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A machine learning approach to estimate mid-infrared fluxes from WISE data Unresolved cited work
Reference 25
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A machine learning approach to estimate mid-infrared fluxes from WISE data 2022, MNRAS, 517, 1837
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A machine learning approach to estimate mid-infrared fluxes from WISE data R., Millman, K
Reference 27
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This paper cites 2009, The elements of statistical learn- ing: data mining, inference and prediction, 2nd edn.
A machine learning approach to estimate mid-infrared fluxes from WISE data 2009, The elements of statistical learn- ing: data mining, inference and prediction, 2nd edn
Reference 28
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Reference 29
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A machine learning approach to estimate mid-infrared fluxes from WISE data 2017, in Advances in Neural Information Processing Systems, ed
Reference 31
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A machine learning approach to estimate mid-infrared fluxes from WISE data F., Steinz, J
Reference 33
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A machine learning approach to estimate mid-infrared fluxes from WISE data 2016, A&A, 596, A39
Reference 34
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A machine learning approach to estimate mid-infrared fluxes from WISE data S., & Igel, C
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A machine learning approach to estimate mid-infrared fluxes from WISE data 2016, A&A, 592, A25
Reference 36
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A machine learning approach to estimate mid-infrared fluxes from WISE data 2019, MNRAS, 487, 2522
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A machine learning approach to estimate mid-infrared fluxes from WISE data 2023, Reports on Progress in Physics, 86, 076901
Reference 40
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A machine learning approach to estimate mid-infrared fluxes from WISE data 2007, PASJ, 59, S369
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Reference 43
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A machine learning approach to estimate mid-infrared fluxes from WISE data 2018, Astronomy and Com- puting, 23, 72
Reference 44
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This paper cites 2000, A&AS, 143, 23 pandas development team, T.
A machine learning approach to estimate mid-infrared fluxes from WISE data 2000, A&AS, 143, 23 pandas development team, T
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Observation 5588ba61-f3a5-4321-9a21-3801e5eec268 · outbound
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A machine learning approach to estimate mid-infrared fluxes from WISE data I., Metchev, S
Reference 46
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A machine learning approach to estimate mid-infrared fluxes from WISE data I., Metchev, S
Reference 47
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This paper cites 2018, High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach.
A machine learning approach to estimate mid-infrared fluxes from WISE data 2018, High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach
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Observation e5b62950-9ad7-41fb-ab30-0bca8f4591c0 · outbound
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A machine learning approach to estimate mid-infrared fluxes from WISE data 2011, Journal of Machine Learning Research, 12, 2825
Reference 49
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A machine learning approach to estimate mid-infrared fluxes from WISE data Z., Pesenson, I
Reference 50
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A machine learning approach to estimate mid-infrared fluxes from WISE data M., Stapelfeldt, K
Reference 51
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A machine learning approach to estimate mid-infrared fluxes from WISE data & Röttgering, H
Reference 52
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A machine learning approach to estimate mid-infrared fluxes from WISE data & Rokach, L
Reference 53
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A machine learning approach to estimate mid-infrared fluxes from WISE data & Serjeant, S
Reference 54
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A machine learning approach to estimate mid-infrared fluxes from WISE data E., Evans, N
Reference 55
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Observation 02dad60a-5f87-48f3-a801-a239e3ce6391 · outbound
This paper cites M., Kuchner, M.
A machine learning approach to estimate mid-infrared fluxes from WISE data M., Kuchner, M
Reference 56
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 96f9c4ea-46f8-4e17-89f1-8068197499d8 · outbound
This paper cites T., Korn, A.
A machine learning approach to estimate mid-infrared fluxes from WISE data T., Korn, A
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:37:14.645707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f073fabe-c21f-40d9-9661-3fb4c59ab2d1 · outbound
This paper cites E., et al.
A machine learning approach to estimate mid-infrared fluxes from WISE data E., et al
Reference 58
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 140f0d34-6a88-4bbb-b00d-e8d0d28924ef · outbound
This paper cites W., Roellig, T.
A machine learning approach to estimate mid-infrared fluxes from WISE data W., Roellig, T
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:37:14.620769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dd464454-1e7a-4798-8753-40a017677fcc · outbound
This paper cites L., Eisenhardt, P.
A machine learning approach to estimate mid-infrared fluxes from WISE data L., Eisenhardt, P
Reference 60
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4a9c3d5-38f5-47f9-82ef-99bf417f4c74 · outbound
This paper cites 2020, ApJ, 902, 127.
A machine learning approach to estimate mid-infrared fluxes from WISE data 2020, ApJ, 902, 127
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:37:14.596694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 81758d1e-bfbd-48ea-8a2e-466e91abe1ee · outbound
This paper cites & Johnson, R.
A machine learning approach to estimate mid-infrared fluxes from WISE data & Johnson, R
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:37:14.581507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 70410c2c-ab25-4ef5-bf9f-dce1a7fc1751 · outbound
This paper cites Z., Hafezianzadeh, F., Zhang, Y ., et al.
A machine learning approach to estimate mid-infrared fluxes from WISE data Z., Hafezianzadeh, F., Zhang, Y ., et al
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:37:14.500613Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13f39a78-5ba3-496c-93d4-142e701412c9 · outbound
This paper cites cleaning.
A machine learning approach to estimate mid-infrared fluxes from WISE data cleaning
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T16:37:14.557325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
No inbound Pith citation observations are available.