Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-28T22:02:22.676596Z
Paper Citation Record · LEDGER
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4
As of 20 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2605.31420.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
64 of 64 outbound references displayed
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Outbound references
Observation bb630784-e8a8-488b-89b3-2f02f966b37e · outbound
This paper cites L., et al.
Reference 1
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Observation 126bae73-92d1-4428-8482-6aad6475773d · outbound
This paper cites A benchmark analysis of saliency-based explainable deep learning methods for the morphological classification of radio galaxies.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 A benchmark analysis of saliency-based explainable deep learning methods for the morphological classification of radio galaxies
Reference 2
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Observation 7292e0e8-82e7-4b8c-874a-3b5f3812c12d · outbound
This paper cites 2011, The EFIGI catalogue of 4458 nearby galaxies with detailed morphology, A&A, 532, A74.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2011, The EFIGI catalogue of 4458 nearby galaxies with detailed morphology, A&A, 532, A74
Reference 3
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Observation 96d591e4-7566-40c0-9957-f8a2d71ab1ae · outbound
This paper cites 2025, title The Blue Jay Survey: Deep JWST Spectroscopy for a Representative Sample of Galaxies at Cosmic Noon , arXiv e-prints, arXiv:2510.11775, 10.48550/arXiv.2510.11775.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2025, title The Blue Jay Survey: Deep JWST Spectroscopy for a Representative Sample of Galaxies at Cosmic Noon , arXiv e-prints, arXiv:2510.11775, 10.48550/arXiv.2510.11775
Reference 4
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Observation 77733762-131a-4be6-b3ca-3aa87e22af50 · outbound
This paper cites F., et al.
Reference 5
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This paper cites an unresolved cited work.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 Unresolved cited work
Reference 6
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Observation 0709b376-9e62-4d56-a1ba-29c7cbb0e983 · outbound
This paper cites arXiv e-prints , keywords =.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 arXiv e-prints , keywords =
Reference 7
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Observation 65b8b9e8-4c3f-458b-a97e-702422aee7fe · outbound
This paper cites L., et al.
Reference 8
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Observation 5ef02c07-4eaa-4c23-942f-4ba611de43a0 · outbound
This paper cites S., & Welling, M.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 S., & Welling, M
Reference 9
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Observation 1cc52808-97b2-4b3a-8295-e41f3d8c90f3 · outbound
This paper cites an unresolved cited work.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 Unresolved cited work
Reference 10
- Resolution
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Observation f0ab7f55-a26e-48bd-8f90-593aa9388794 · outbound
This paper cites an unresolved cited work.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 Unresolved cited work
Reference 11
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Observation 36d5a621-5868-4234-9edf-4644ca83b44c · outbound
This paper cites 2023, Discovery of the highest redshift galaxies with JWST, AAS Meeting Abstracts, 241, 153–07.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2023, Discovery of the highest redshift galaxies with JWST, AAS Meeting Abstracts, 241, 153–07
Reference 12
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Observation 094107cb-d04f-48ea-9da4-c9d2da149329 · outbound
This paper cites J., et al.
Reference 13
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Observation 9f9a23ff-4508-4251-84ae-5e98dcf227ad · outbound
This paper cites 2026, An updated efficient galaxy morphology classification model based on ConvNeXt encoding with UMAP dimensionality reduction, AJ, 171, 59.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2026, An updated efficient galaxy morphology classification model based on ConvNeXt encoding with UMAP dimensionality reduction, AJ, 171, 59
Reference 14
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Observation 590840e7-f5d1-49ce-9395-64dfb78a13a9 · outbound
This paper cites P., et al.
Reference 15
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Observation 68c4d518-96b4-414e-ba2e-72e6a90b2dd6 · outbound
This paper cites 2018, The size evolution of star-forming and quenched galaxies in the IllustrisTNG simulation, MNRAS, 474, 3976.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2018, The size evolution of star-forming and quenched galaxies in the IllustrisTNG simulation, MNRAS, 474, 3976
Reference 16
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Observation 39562710-5e31-426b-9760-e6035c7661b2 · outbound
This paper cites DAWN JWST Archive: Morphology from profile fitting of over 340 000 galaxies in major fields.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 DAWN JWST Archive: Morphology from profile fitting of over 340 000 galaxies in major fields
Reference 17
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Observation e90d3589-fcb1-4e4f-b017-af8889965050 · outbound
This paper cites 2017, The Early Evolution of Galactic Disks: Structure, Dynamics and Feedback, Disk Instabilities Across Cosmic Scales, 5.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2017, The Early Evolution of Galactic Disks: Structure, Dynamics and Feedback, Disk Instabilities Across Cosmic Scales, 5
Reference 18
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Observation 9990a789-852e-4c87-8cc4-65dce46830f6 · outbound
This paper cites 2025, Galaxy Morphological Classification with Zernike Moments and Machine Learning, ApJS, 277, 10.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2025, Galaxy Morphological Classification with Zernike Moments and Machine Learning, ApJS, 277, 10
Reference 19
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Observation fe8b467a-1bf5-4ec2-9492-10f6e070e1b0 · outbound
This paper cites A., et al.
Reference 20
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Observation 0cc3f01d-8a9e-4b50-ba37-b5ac86474477 · outbound
This paper cites 2017, On Calibration of Modern Neural Networks, in Proc.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2017, On Calibration of Modern Neural Networks, in Proc
Reference 21
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Observation 1638f1a2-93b1-4672-806d-2f2f3ca2a14c · outbound
This paper cites and Ozernoy L.M., 1981, Accretion of the cloud of gas debris of stars disrupted by the tidal forces of a supermassive black hole, A&A, 95, 39.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 and Ozernoy L.M., 1981, Accretion of the cloud of gas debris of stars disrupted by the tidal forces of a supermassive black hole, A&A, 95, 39
Reference 22
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Observation f491c4d2-faf2-4d2d-bf05-9c8158bb098f · outbound
This paper cites Auto-Encoding Variational Bayes.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 Auto-Encoding Variational Bayes
Reference 23
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Observation 14f22388-2110-4274-b451-1837519fcb91 · outbound
This paper cites 2024, Hot gas accretion fuels star formation faster than cold accretion in high-redshift galaxies, MNRAS, 534, 918.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2024, Hot gas accretion fuels star formation faster than cold accretion in high-redshift galaxies, MNRAS, 534, 918
Reference 24
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Observation b9e521f5-cdd9-48b6-bf75-ac1cb0d9020b · outbound
This paper cites 2024, JWST reveals a surprisingly high fraction of galaxies being spiral-like at 0.5 z 4 , ApJL, 968, L15.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2024, JWST reveals a surprisingly high fraction of galaxies being spiral-like at 0.5 z 4 , ApJL, 968, L15
Reference 25
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Observation 79512ae3-26bb-42a8-acdc-f50ec05cebab · outbound
This paper cites H., Park, C., Hwang, H.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 H., Park, C., Hwang, H
Reference 26
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Observation 33ba8c35-e8d0-4122-9a9e-553a54e2fb32 · outbound
This paper cites 2023, Cold gas disks in main-sequence galaxies at cosmic noon, A&A, 672, A106.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2023, Cold gas disks in main-sequence galaxies at cosmic noon, A&A, 672, A106
Reference 27
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Observation 553c100d-b079-4fa5-8ec9-802d91047a99 · outbound
This paper cites 2011, Galaxy Zoo 1: data release of morphological classifications for nearly 900,000 galaxies, MNRAS, 410, 166.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2011, Galaxy Zoo 1: data release of morphological classifications for nearly 900,000 galaxies, MNRAS, 410, 166
Reference 28
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Observation be43e8e9-c02f-4743-9fb3-1466236a0492 · outbound
This paper cites 2022, A ConvNet for the 2020s, in Proc.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2022, A ConvNet for the 2020s, in Proc
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Observation 17ea877f-67e0-45dc-aba8-3623af571973 · outbound
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Reference 30
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Observation dbacb69e-7511-49d3-bcf8-768c70d92a12 · outbound
This paper cites A., et al.
Reference 31
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Observation 50b6716c-40ec-4445-8feb-b260289d31a2 · outbound
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Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Reference 32
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Observation ad63be4e-353c-4bf6-bf57-dc731d237fda · outbound
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Reference 33
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Reference 34
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Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 Unresolved cited work
Reference 35
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Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 Unresolved cited work
Reference 36
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Observation d1a99e7e-782e-4593-95a1-2f0d2a23bc73 · outbound
This paper cites Disk-like galaxies at 4 < z < 7.7 : JWST/NIRCam morphologies revealed by denoising VAE-GCNN classification.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 Disk-like galaxies at 4 < z < 7.7 : JWST/NIRCam morphologies revealed by denoising VAE-GCNN classification
Reference 37
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Observation e4e2d1d5-5cd2-4244-ae55-1cc55a788138 · outbound
This paper cites 2010, Galaxy Formation and Evolution, Cambridge Univ.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2010, Galaxy Formation and Evolution, Cambridge Univ
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Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 Unresolved cited work
Reference 39
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Reference 40
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This paper cites E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification
Reference 41
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Observation 784f1d25-e1fa-401a-8d7e-6ba1bd33afe1 · outbound
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Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 1988, TTidal disruption of stars by black holes of 106-108 solar masses in nearby galaxies, Nature, 333, 523
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Observation 922c3baa-7270-40cf-a9d7-778ffa607b23 · outbound
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Reference 43
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Observation e45381e6-a29b-41f9-8f60-cf99ba3b21cf · outbound
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Reference 44
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This paper cites 2023, Data from the JWST Advanced Deep Extragalactic Survey (JADES), MAST Release.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2023, Data from the JWST Advanced Deep Extragalactic Survey (JADES), MAST Release
Reference 45
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Reference 46
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Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 Unresolved cited work
Reference 47
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Observation b9bc5837-66c1-4ba7-af2a-851b6d6fda83 · outbound
This paper cites Detection of Anisotropies in the Circumgalactic Medium of Disk Galaxies: Supermassive Black Hole Activity or Star Formation-driven Outflows?.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 Detection of Anisotropies in the Circumgalactic Medium of Disk Galaxies: Supermassive Black Hole Activity or Star Formation-driven Outflows?
Reference 48
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Observation 1d48f1cd-8366-49c3-8635-acf835f3e0df · outbound
This paper cites Morphology across cosmic time: assessing the evolution and interplay of disk and bulge-dominated galaxies in the CANDELS survey.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 Morphology across cosmic time: assessing the evolution and interplay of disk and bulge-dominated galaxies in the CANDELS survey
Reference 49
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Observation 81e138be-5fe7-47eb-a9bd-60155380f899 · outbound
This paper cites 2005, The classification of galaxies: Early history and ongoing developments, Annu.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2005, The classification of galaxies: Early history and ongoing developments, Annu
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Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2007, The Cosmic Evolution Survey (COSMOS): Overview, ApJS, 172, 1
Reference 51
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7f9f93b-38d1-4e1b-ad87-3e58c8567948 · outbound
This paper cites 2026, The MAGPI Survey: co-evolution of baryons and dark matter in star-forming disk-like galaxies at 0.1 < z < 0.85,, arXiv:2601.12315.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2026, The MAGPI Survey: co-evolution of baryons and dark matter in star-forming disk-like galaxies at 0.1 < z < 0.85,, arXiv:2601.12315
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- verified exact
- arxiv_id, observed 2026-07-01T19:46:11.015852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0f178fc2-0b07-4f40-b6f8-586ccbeb1dcc · outbound
This paper cites 2025, COSMOS2025: The COSMOS-Web galaxy catalog, A&A, 704, A339.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2025, COSMOS2025: The COSMOS-Web galaxy catalog, A&A, 704, A339
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T22:02:22.676596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4e0e123-69f9-49cd-9da7-66419c00a355 · outbound
This paper cites S., & Gallagher, J.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 S., & Gallagher, J
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T22:02:22.676596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e892848-1536-4829-8334-172fc5afe1bc · outbound
This paper cites 2024, The structure and morphology of galaxies during the Epoch of Reionization revealed by JWST, ApJ, 960, 104.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2024, The structure and morphology of galaxies during the Epoch of Reionization revealed by JWST, ApJ, 960, 104
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T22:02:22.676596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1f21a16-1376-4a63-9381-699f2000be53 · outbound
This paper cites 2025, Automatic machine learning framework to study AGN host morphology, ApJ, 981, 5.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2025, Automatic machine learning framework to study AGN host morphology, ApJ, 981, 5
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T22:02:22.676596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d13c8dbd-ab3f-40ac-a32d-5cad089a6993 · outbound
This paper cites 2026, Structural Evolution of Stellar Disks from z 3 to the Present with JWST, MNRAS, in press.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2026, Structural Evolution of Stellar Disks from z 3 to the Present with JWST, MNRAS, in press
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T22:02:22.676596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdd518bf-5201-4fda-8c94-13df1cc8796c · outbound
This paper cites 2014, 3D-HST + CANDELS: Evolution of the size–mass distribution since z=3 , ApJ, 788, 28.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2014, 3D-HST + CANDELS: Evolution of the size–mass distribution since z=3 , ApJ, 788, 28
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T22:02:22.676596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0153fa23-a314-46c6-94d8-f99430e392c2 · outbound
This paper cites 2024, On the Nature of Disks at High Redshift Seen by JWST/CEERS with Contrastive Learning and Cosmological Simulations, ApJ, 961, 51.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2024, On the Nature of Disks at High Redshift Seen by JWST/CEERS with Contrastive Learning and Cosmological Simulations, ApJ, 961, 51
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T22:02:22.676596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 439f6325-4440-49fa-8d4a-490a6002e195 · outbound
This paper cites 2022, Galaxy Zoo DECaLS: Detailed visual morphology for 314,000 galaxies, MNRAS, 509, 3966.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2022, Galaxy Zoo DECaLS: Detailed visual morphology for 314,000 galaxies, MNRAS, 509, 3966
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T22:02:22.676596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acc022d8-15d9-4f88-a5ab-4a71a6567fed · outbound
This paper cites 2021, General E(2)-Equivariant Steerable CNNs, in Advances in Neural Information Processing Systems (NeurIPS), 14334.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2021, General E(2)-Equivariant Steerable CNNs, in Advances in Neural Information Processing Systems (NeurIPS), 14334
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T22:02:22.676596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3eaf1e26-8b61-4177-9a5c-41ce35f984cf · outbound
This paper cites W., et al.
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T22:02:22.676596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21c4923d-f29e-4ba2-b2b7-05013bae1e8a · outbound
This paper cites 2024, A galaxy image augmentation method using few-shot learning and GANs, RAA, 24, 035015.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 2024, A galaxy image augmentation method using few-shot learning and GANs, RAA, 24, 035015
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-06-28T22:02:22.676596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85006385-e97a-4fd8-a5e4-c7aa1fd30fcb · outbound
This paper cites and Ji, Zhiyuan and Bunker, Andrew J.
Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 and Ji, Zhiyuan and Bunker, Andrew J
Reference 64
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T19:46:11.022124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.