Paper Citation Record · LEDGER

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation

As of 17 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 2 inbound Pith citation observations for arXiv:2411.15559.

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

pith.paper-citation-record.v1
2411.15559 v1

Coverage vector

measured 94 of 94 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:15:29.789596Z

measured 96 of 96 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:10:40.169273Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T04:10:40.321639Z

Reference resolution

94 of 94 outbound references displayed

verified exact11
verified fuzzy2
unresolved80
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f64c104e-c253-479f-affe-ceb4d390df55 · outbound

This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Reference 1

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This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 2

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Observation 2629970f-4914-4851-a705-663c4f490d09 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 3

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Observation 28f2405e-5912-4a58-86f3-3791602eaf3a · outbound

This paper cites R., Vaccari M., 2018, @doi [Monthly Notices of the Royal Astronomical Society] 10.1093/mnras/sty2038 , 480, 2085.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation R., Vaccari M., 2018, @doi [Monthly Notices of the Royal Astronomical Society] 10.1093/mnras/sty2038 , 480, 2085

Reference 4

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Observation a3ee3f25-2589-47de-b210-a365e929a39d · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 5

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Observation 9d0b1605-8a94-439e-b939-ae1f03f1af63 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 6

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Observation 6fb54d0c-50bc-4022-9b5e-4a610f1a9721 · outbound

This paper cites K., Thorat K., 2017, @doi [ ] 10.3847/1538-4365/aa7333 , https://ui.adsabs.harvard.edu/abs/2017ApJS..230...20A 230, 20.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation K., Thorat K., 2017, @doi [ ] 10.3847/1538-4365/aa7333 , https://ui.adsabs.harvard.edu/abs/2017ApJS..230...20A 230, 20

Reference 7

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Observation fad4c80f-f188-45c8-91a8-60a1f7980661 · outbound

This paper cites pp 214--223.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation pp 214--223

Reference 8

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Observation 081fecae-3ef1-4cd2-8fe0-31a80059b0ad · outbound

This paper cites Do GANs actually learn the distribution? An empirical study.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Do GANs actually learn the distribution? An empirical study

Reference 9

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Observation 638f0312-0559-4330-950d-7d0018ae6a1c · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 10

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Observation 20edc36f-93ab-4131-a374-4f8f9e522600 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 11

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Observation 652bc74a-f059-45ef-bbdb-48a842b0b17d · outbound

This paper cites J., Scaife A.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation J., Scaife A

Reference 12

Resolution: verified exact; doi, observed 2026-08-12T14:15:31.266121Z

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Observation 3d79b88f-f26c-4584-828d-0fc0c2e0d8b5 · outbound

This paper cites et al., 2024, @doi [A&A] 10.1051/0004-6361/202348045 , 686, A82.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation et al., 2024, @doi [A&A] 10.1051/0004-6361/202348045 , 686, A82

Reference 13

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Observation ad7aef49-ca25-40ee-bc72-4e3ddc42b065 · outbound

This paper cites J., Arbel M., Gretton A., 2018, in International Conference on Learning Representations.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation J., Arbel M., Gretton A., 2018, in International Conference on Learning Representations

Reference 14

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Observation 56f23736-6eda-4773-bf1a-de22c9006c30 · outbound

This paper cites B., 2010, @doi [ ] 10.1051/0004-6361/200913696 , https://ui.adsabs.harvard.edu/abs/2010A&A...513A..30B 513, A30.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation B., 2010, @doi [ ] 10.1051/0004-6361/200913696 , https://ui.adsabs.harvard.edu/abs/2010A&A...513A..30B 513, A30

Reference 15

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Observation 082c34eb-83e9-44cc-a166-7f31d425d352 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 16

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Observation c45ce2d8-479e-43ff-a6d3-e02f48aa7b53 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 17

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Observation a54f69ae-56bf-4cd0-90b1-bd3898d768ba · outbound

This paper cites E(2) Equivariant Self-Attention for Radio Astronomy.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation E(2) Equivariant Self-Attention for Radio Astronomy

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:15:32.127369Z

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Observation b14e9fde-fa4b-40e9-a3d4-a14234bd80c5 · outbound

This paper cites S., 1995, in American Astronomical Society Meeting Abstracts.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation S., 1995, in American Astronomical Society Meeting Abstracts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.165067Z

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Observation ba7ce1de-c9e7-463b-8383-29972c9590be · outbound

This paper cites W., 2014, International Journal of Modern Physics D, 23, 1430007.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation W., 2014, International Journal of Modern Physics D, 23, 1430007

Reference 20

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Observation 4dde235a-7c3e-4264-8c53-b678906ddd33 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 21

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Observation ca648cfc-c4c8-465c-912c-45b0d286bb72 · outbound

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Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 22

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Observation dd1b5d86-27a7-4567-b16b-4efcabfdf08e · outbound

This paper cites M., Scaife A.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation M., Scaife A

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.192846Z

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Observation ee9104e7-744e-4fe6-84f3-36465fc6a0ff · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 24

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Observation e28ce87a-fc96-4c01-8211-dd9bdbe5cd92 · outbound

This paper cites E., Kronberg P.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation E., Kronberg P

Reference 25

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Observation eec2d07e-9742-4a68-9204-07258224310f · outbound

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Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 26

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Observation 6895afe6-fe1a-436c-b340-b6889004aed7 · outbound

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

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 27

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Observation 6d54beea-d6b5-4a90-80dc-c46fb8ee9019 · outbound

This paper cites W., Johnston-Hollitt M., Bartalucci I., 2021b, @doi [Publications of the Astronomical Society of Australia] 10.1017/pasa.2021.45 , 38.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation W., Johnston-Hollitt M., Bartalucci I., 2021b, @doi [Publications of the Astronomical Society of Australia] 10.1017/pasa.2021.45 , 38

Reference 28

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Observation 1847dc5d-8347-494a-a743-f41e27d928e0 · outbound

This paper cites W., Johnston-Hollitt M., Wilber A.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation W., Johnston-Hollitt M., Wilber A

Reference 29

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Observation 287cf243-33ff-4266-9654-84a91bb3e66b · outbound

This paper cites W., Johnston-Hollitt M., Offringa A.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation W., Johnston-Hollitt M., Offringa A

Reference 30

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Observation 567a17c2-7db1-490c-9c13-acc2506dd5ad · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 31

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Observation 3786d172-2bd0-49e8-b7f5-3606b9dff5fd · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 32

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Observation 88bb28c6-0cee-4348-bf2c-c3c013135e5e · outbound

This paper cites T., et al., 2017, @doi [ ] 10.1093/mnras/stx155 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.467..936G 467, 936.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation T., et al., 2017, @doi [ ] 10.1093/mnras/stx155 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.467..936G 467, 936

Reference 33

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Observation 41615e1f-8e58-48e2-807e-29726d487528 · outbound

This paper cites E., Brunetti G., 2017, @doi [ ] 10.3847/1538-4357/aa7069 , https://ui.adsabs.harvard.edu/abs/2017ApJ...841...71G 841, 71.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation E., Brunetti G., 2017, @doi [ ] 10.3847/1538-4357/aa7069 , https://ui.adsabs.harvard.edu/abs/2017ApJ...841...71G 841, 71

Reference 34

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Observation 12d35e7a-c4e7-4aa5-a4b8-ec5b5dbd078b · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.294914Z

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Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 36

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Observation eb33a982-fe13-44fe-8763-6ae0438988fc · outbound

This paper cites C., 2017, Advances in neural information processing systems, 30.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation C., 2017, Advances in neural information processing systems, 30

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.306820Z

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This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.313777Z

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Observation 193dba4b-9ab5-4601-b91e-24aa86e91e1b · outbound

This paper cites pp 6626--6637.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation pp 6626--6637

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.318912Z

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Observation 6b0a55c4-738d-45d0-9a46-1eb274376656 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Denoising Diffusion Probabilistic Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.325862Z

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Observation 15cade23-a460-439e-b3b1-45b3225a99dc · outbound

This paper cites W., et al., 2021, @doi [ ] 10.1017/pasa.2021.1 , https://ui.adsabs.harvard.edu/abs/2021PASA...38....9H 38, e009.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation W., et al., 2021, @doi [ ] 10.1017/pasa.2021.1 , https://ui.adsabs.harvard.edu/abs/2021PASA...38....9H 38, e009

Reference 41

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Observation f3dba54e-367f-4105-8519-c2409762dc65 · outbound

This paper cites ZigMa: A DiT-style Zigzag Mamba Diffusion Model.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.338689Z

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Observation f9af1ece-8e32-4a52-80f0-1ea4d4c8a6a2 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.346905Z

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Observation 14cb0f52-4fd1-4eb2-80d2-ece93f72be62 · outbound

This paper cites Springer, New York.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Springer, New York

Reference 44

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This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 45

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Observation bc4679d5-dc84-4285-b02a-c36c341b9be2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Adam: A Method for Stochastic Optimization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.373789Z

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This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.383406Z

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Observation ee99b45c-10a6-408c-beae-a9107296c3a0 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.392280Z

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Observation 04910064-cca3-4b24-b25a-fe9f4f1287cb · outbound

This paper cites V., Borgani S., 2012, @doi [ ] 10.1146/annurev-astro-081811-125502 , https://ui.adsabs.harvard.edu/abs/2012ARA&A..50..353K 50, 353.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation V., Borgani S., 2012, @doi [ ] 10.1146/annurev-astro-081811-125502 , https://ui.adsabs.harvard.edu/abs/2012ARA&A..50..353K 50, 353

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.398362Z

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Observation db71797f-f4e1-497b-aa66-38873d8f2770 · outbound

This paper cites Radio Galaxy Classification with wGAN-Supported Augmentation.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Radio Galaxy Classification with wGAN-Supported Augmentation

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:15:30.629863Z

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Observation 77afa667-042d-4081-a5cb-8c9cd3296d57 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.411766Z

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Observation 535360c3-2b64-4eab-a0f9-e50e05906602 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.418126Z

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Observation 5a09f34f-6b6b-4823-9a6e-e4ae8c108ebd · outbound

This paper cites Radio Galaxy Morphology Generation Using DNN Autoencoder and Gaussian Mixture Models.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Radio Galaxy Morphology Generation Using DNN Autoencoder and Gaussian Mixture Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.432362Z

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Observation cf688936-6b86-4071-8c4a-fc784ba7afbe · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 54

Resolution: verified exact; doi, observed 2026-08-12T14:15:30.540953Z

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Observation a601d54b-a85b-4177-a285-74ba4bf84979 · outbound

This paper cites N., 2017, @doi [ ] 10.1093/mnras/stx007 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.466.4346M 466, 4346.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation N., 2017, @doi [ ] 10.1093/mnras/stx007 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.466.4346M 466, 4346

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.446487Z

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Observation c029760b-885a-40cb-88fe-844afb25b173 · outbound

This paper cites Conditional Generative Adversarial Nets.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Conditional Generative Adversarial Nets

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.456427Z

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Observation b1a27083-deee-4225-b32c-a7f14af60160 · outbound

This paper cites J., Culhane J.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation J., Culhane J

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.464935Z

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Observation 93049fd3-4a8c-46e9-b45b-544d479466f5 · outbound

This paper cites F., 1950, @doi [Proceedings of the National Academy of Science] 10.1073/pnas.36.1.48 , https://ui.adsabs.harvard.edu/abs/1950PNAS...36...48N 36, 48.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation F., 1950, @doi [Proceedings of the National Academy of Science] 10.1073/pnas.36.1.48 , https://ui.adsabs.harvard.edu/abs/1950PNAS...36...48N 36, 48

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.471483Z

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Observation b13d5eaa-9f44-4a42-ae23-39e3dc57f2c0 · outbound

This paper cites E., 2021, @doi [ ] 10.1093/mnras/stab271 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.502.3417N 502, 3417.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation E., 2021, @doi [ ] 10.1093/mnras/stab271 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.502.3417N 502, 3417

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.481049Z

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Observation 9c507a2b-09a4-4c4d-9422-45ca7f3b516a · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.489733Z

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Observation 4e221200-7d11-43e3-a535-20d451d83566 · outbound

This paper cites B., Babul A., McCarthy I.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation B., Babul A., McCarthy I

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.497344Z

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Observation 6ad1e85a-8c8f-4844-ab32-8a4d21216448 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.502721Z

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Observation cdc517ca-a315-446b-9b0c-7d6fd942d260 · outbound

This paper cites J., Intema H.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation J., Intema H

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.513016Z

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Observation 6153f0a4-15a2-43f9-9e20-948c5b218d34 · outbound

This paper cites Searching for Activation Functions.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Searching for Activation Functions

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.522839Z

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Observation b179501c-737d-4fca-8995-4f39e1eae325 · outbound

This paper cites W., Sarazin C.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation W., Sarazin C

Reference 65

Resolution: verified exact; doi, observed 2026-08-12T14:15:30.393257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cb66d91c-de4b-4559-aaae-f5c885ec6838 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation High-Resolution Image Synthesis with Latent Diffusion Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.539797Z

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Observation 6f73e29c-1795-45b7-b2e9-73eb2d748ad2 · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.547761Z

Source-reported events for the cited work

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Observation a965f2d4-64b4-464a-8b4e-f712d6781ed5 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 68

Resolution: verified exact; doi, observed 2026-08-12T14:15:30.324273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 776e98cd-ed09-45d5-99e1-425885a010ef · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 69

Resolution: verified exact; doi, observed 2026-08-12T14:15:30.300858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1237019c-2db0-4e7b-aa9b-8b55a19dce01 · outbound

This paper cites T., Bansal M., Wadadekar Y., 2022, @doi [ ] 10.1093/mnras/stab3144 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.509.2269S 509, 2269.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation T., Bansal M., Wadadekar Y., 2022, @doi [ ] 10.1093/mnras/stab3144 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.509.2269S 509, 2269

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.580958Z

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Observation a0c93703-c6a4-4a54-9a20-ebda06639612 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.591423Z

Source-reported events for the cited work

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Observation e0da72f2-c47f-46d7-be11-0b51d71fedfa · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.600223Z

Source-reported events for the cited work

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Observation 9c7cd022-5475-459d-a015-d9faaae671b8 · outbound

This paper cites K., 2017, @doi [Monthly Notices of the Royal Astronomical Society: Letters] 10.1093/mnrasl/slx008 , 467, L110.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation K., 2017, @doi [Monthly Notices of the Royal Astronomical Society: Letters] 10.1093/mnrasl/slx008 , 467, L110

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.606952Z

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Observation 6c059b24-635b-4081-9b94-7acc7ed19517 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.617421Z

Source-reported events for the cited work

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Observation 8f825327-1d2e-43e2-ad4b-fcddb324ada1 · outbound

This paper cites J., Smith B.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation J., Smith B

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.626343Z

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Observation d5499d52-1468-47b9-bf38-403bab756002 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.635003Z

Source-reported events for the cited work

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Observation bfd9c2b8-fea2-4533-b6ab-9922771447e2 · outbound

This paper cites 37, Proceedings of the 32nd International Conference on Machine Learning.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation 37, Proceedings of the 32nd International Conference on Machine Learning

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.643728Z

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Observation 5e344acc-8519-4c7d-b9c1-17dfd5146301 · outbound

This paper cites RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:15:30.192188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d030e100-794e-4e31-8416-160303e9e38a · outbound

This paper cites A., Zeldovich Y.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation A., Zeldovich Y

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.663180Z

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Observation 6a2dfd65-ab88-47b6-b749-5a95d96160c5 · outbound

This paper cites pp 2818--2826.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation pp 2818--2826

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:32.245689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2a565001-f1de-4440-97aa-3288cbae3e66 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.684494Z

Source-reported events for the cited work

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Observation e72cce5c-7844-49ea-9451-de01fc231551 · outbound

This paper cites J., et al., 2013, @doi [ ] 10.1017/pasa.2012.007 , https://ui.adsabs.harvard.edu/abs/2013PASA...30....7T 30, e007.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation J., et al., 2013, @doi [ ] 10.1017/pasa.2012.007 , https://ui.adsabs.harvard.edu/abs/2013PASA...30....7T 30, e007

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Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.696332Z

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Observation 951ee37d-8922-40dd-a4bd-7ed5a9bbbabf · outbound

This paper cites Butterworth-Heinemann, London.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Butterworth-Heinemann, London

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:15:32.207746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 14d6f0b7-9123-4411-bdb4-4ea6b4f278a6 · outbound

This paper cites Attention Is All You Need.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Attention Is All You Need

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.711894Z

Source-reported events for the cited work

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Observation ed9607c7-8b76-4b3c-bfdb-ddc0d76aa846 · outbound

This paper cites S., Van Speybroeck L., 2006, @doi [ ] 10.1086/500288 , https://ui.adsabs.harvard.edu/abs/2006ApJ...640..691V 640, 691.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation S., Van Speybroeck L., 2006, @doi [ ] 10.1086/500288 , https://ui.adsabs.harvard.edu/abs/2006ApJ...640..691V 640, 691

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Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.719517Z

Source-reported events for the cited work

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Observation 3d5f3ee8-b591-48aa-a47e-f95dcb1301de · outbound

This paper cites B., et al., 2015, @doi [ ] 10.1017/pasa.2015.26 , https://ui.adsabs.harvard.edu/abs/2015PASA...32...25W 32, e025.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation B., et al., 2015, @doi [ ] 10.1017/pasa.2015.26 , https://ui.adsabs.harvard.edu/abs/2015PASA...32...25W 32, e025

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Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.726256Z

Source-reported events for the cited work

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Observation c06c567b-9dda-434c-a435-8b0b8ca539d1 · outbound

This paper cites R., Sarazin C.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation R., Sarazin C

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.731699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5822326a-3916-4734-a516-fe30d1945de1 · outbound

This paper cites G., Johnston-Hollitt M., Duchesne S.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation G., Johnston-Hollitt M., Duchesne S

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.740407Z

Source-reported events for the cited work

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Observation 06d0485b-5c3c-4098-8a09-4d6ce3536ba9 · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 89

Resolution: verified exact; doi, observed 2026-08-12T14:15:29.966085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2cd264e8-61ff-409b-8fc5-b0dfbed86e53 · outbound

This paper cites Unmasking Bias in Diffusion Model Training.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unmasking Bias in Diffusion Model Training

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.754968Z

Source-reported events for the cited work

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Observation 19893879-f489-4aca-9329-1942967d271e · outbound

This paper cites T., Frail D.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation T., Frail D

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.760690Z

Source-reported events for the cited work

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Observation 224ca7ac-6dbc-4a91-aadf-f5dc734c63ef · outbound

This paper cites P., et al., 2013, @doi [ ] 10.1051/0004-6361/201220873 , https://ui.adsabs.harvard.edu/abs/2013A&A...556A...2V 556, A2.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation P., et al., 2013, @doi [ ] 10.1051/0004-6361/201220873 , https://ui.adsabs.harvard.edu/abs/2013A&A...556A...2V 556, A2

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.766928Z

Source-reported events for the cited work

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Observation 7d331894-82ad-4f68-89c3-1d5eecd62521 · outbound

This paper cites u ggen M., R \.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation u ggen M., R \

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.780637Z

Source-reported events for the cited work

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Observation 7302ac9f-fd2f-4c11-bdee-76829575226b · outbound

This paper cites an unresolved cited work.

Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation Unresolved cited work

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-12T14:15:29.789596Z

Source-reported events for the cited work

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Pith citing papers

Observation 591a554d-8036-4699-8e5d-3a5ab41a5240 · inbound

Simulating realistic radio continuum survey maps with diffusion models cites this paper.

Simulating realistic radio continuum survey maps with diffusion models Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T04:10:40.326595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cca780d3-8648-4342-b177-cce61f3a01e6 · inbound

A Guided Unconditional Diffusion Model to Synthesize and Inpaint Radio Galaxies from FIRST, MGCLS and Radio Zoo cites this paper.

A Guided Unconditional Diffusion Model to Synthesize and Inpaint Radio Galaxies from FIRST, MGCLS and Radio Zoo Radio Halo Detection in MWA Data using Deep Neural Networks and Generative Data Augmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T11:08:08.102775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.