Paper Citation Record · LEDGER

Reproducibility of machine learning analyses of 21 cm reionization maps

As of 15 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 5 inbound Pith citation observations for arXiv:2412.15893.

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

pith.paper-citation-record.v1
2412.15893 v1

Coverage vector

measured 91 of 91 reference resolution

Typed states for the displayed outbound observations.

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measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T01:14:24.457057Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

91 of 91 outbound references displayed

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1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 66a0f4fa-b298-45af-bf5f-86e892d7972f · outbound

This paper cites Towards cosmological inference on unlabeled out-of-distribution HI observational data.

Reproducibility of machine learning analyses of 21 cm reionization maps Towards cosmological inference on unlabeled out-of-distribution HI observational data

Reference 1

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

Reference 2

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Observation c7ad8613-b1ac-4ef3-85dc-a969f45fbc96 · outbound

This paper cites Di Matteo, P.

Reproducibility of machine learning analyses of 21 cm reionization maps Di Matteo, P

Reference 3

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This paper cites D., Davies F.

Reproducibility of machine learning analyses of 21 cm reionization maps D., Davies F

Reference 4

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

Reference 5

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This paper cites K., Iliev I.

Reproducibility of machine learning analyses of 21 cm reionization maps K., Iliev I

Reference 6

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Observation 10a8dd78-6350-4b34-bcd8-fff2b2708019 · outbound

This paper cites K., Prelogovi \'c D., Chen T., Mertens F.

Reproducibility of machine learning analyses of 21 cm reionization maps K., Prelogovi \'c D., Chen T., Mertens F

Reference 7

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This paper cites S., La Plante P., Aguirre J.

Reproducibility of machine learning analyses of 21 cm reionization maps S., La Plante P., Aguirre J

Reference 8

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

Reference 9

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Observation 64b2278d-7c49-4fda-a02a-ed24445e2e02 · outbound

This paper cites L., Green J.

Reproducibility of machine learning analyses of 21 cm reionization maps L., Green J

Reference 10

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This paper cites G., Prelogovi \'c D., Qin Y., Trotta R., 2024, @doi [ ] 10.1093/mnras/stad3849 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527.9833B 527, 9833.

Reproducibility of machine learning analyses of 21 cm reionization maps G., Prelogovi \'c D., Qin Y., Trotta R., 2024, @doi [ ] 10.1093/mnras/stad3849 , https://ui.adsabs.harvard.edu/abs/2024MNRAS.527.9833B 527, 9833

Reference 11

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This paper cites H., Portillo S.

Reproducibility of machine learning analyses of 21 cm reionization maps H., Portillo S

Reference 12

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This paper cites Spectroscopic confirmation of two luminous galaxies at $z\sim14$.

Reproducibility of machine learning analyses of 21 cm reionization maps Spectroscopic confirmation of two luminous galaxies at $z\sim14$

Reference 13

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

Reference 15

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This paper cites R., 2021, @doi [ ] 10.1093/mnras/stab180 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.502.2815C 502, 2815.

Reproducibility of machine learning analyses of 21 cm reionization maps R., 2021, @doi [ ] 10.1093/mnras/stab180 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.502.2815C 502, 2815

Reference 16

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

Reference 17

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This paper cites L., Boser B., Denker J.

Reproducibility of machine learning analyses of 21 cm reionization maps L., Boser B., Denker J

Reference 18

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

Reference 19

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This paper cites R., et al., 2017, @doi [ ] 10.1088/1538-3873/129/974/045001 , https://ui.adsabs.harvard.edu/abs/2017PASP..129d5001D 129, 045001.

Reproducibility of machine learning analyses of 21 cm reionization maps R., et al., 2017, @doi [ ] 10.1088/1538-3873/129/974/045001 , https://ui.adsabs.harvard.edu/abs/2017PASP..129d5001D 129, 045001

Reference 20

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

Reference 21

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Reproducibility of machine learning analyses of 21 cm reionization maps P., Whitler L., Topping M

Reference 22

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

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Reproducibility of machine learning analyses of 21 cm reionization maps B., 1958, @doi [Proc

Reference 25

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Reproducibility of machine learning analyses of 21 cm reionization maps B., 1959, @doi [ ] 10.1086/146653 , https://ui.adsabs.harvard.edu/abs/1959ApJ...129..536F 129, 536

Reference 26

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Reproducibility of machine learning analyses of 21 cm reionization maps L., et al., 2023, @doi [ ] 10.3847/2041-8213/acade4 , https://ui.adsabs.harvard.edu/abs/2023ApJ...946L..13F 946, L13

Reference 27

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Reproducibility of machine learning analyses of 21 cm reionization maps R., Zaldarriaga M., Hernquist L., 2004, @doi [ ] 10.1086/423025 , https://ui.adsabs.harvard.edu/abs/2004ApJ...613....1F 613, 1

Reference 28

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Reproducibility of machine learning analyses of 21 cm reionization maps R., Oh S

Reference 29

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Reproducibility of machine learning analyses of 21 cm reionization maps R., Datta K

Reference 30

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

Reference 31

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Reproducibility of machine learning analyses of 21 cm reionization maps W., Titterington M., eds, Proceedings of Machine Learning Research Vol

Reference 32

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Reproducibility of machine learning analyses of 21 cm reionization maps Towards out-of-distribution generalization in large-scale astronomical surveys: robust networks learn similar representations

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Reproducibility of machine learning analyses of 21 cm reionization maps The MIT Press

Reference 34

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

Reference 35

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Reference 36

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This paper cites G., 2016, @doi [ ] 10.1093/mnras/stv3001 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.457.1550H 457, 1550.

Reproducibility of machine learning analyses of 21 cm reionization maps G., 2016, @doi [ ] 10.1093/mnras/stv3001 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.457.1550H 457, 1550

Reference 39

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

Reference 40

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This paper cites JWST NIRSpec spectroscopy of the triply-lensed $z = 10.17$ galaxy MACS0647$-$JD.

Reproducibility of machine learning analyses of 21 cm reionization maps JWST NIRSpec spectroscopy of the triply-lensed $z = 10.17$ galaxy MACS0647$-$JD

Reference 41

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

Reference 42

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Reproducibility of machine learning analyses of 21 cm reionization maps T., Mellema G., Ahn K., Shapiro P

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Reproducibility of machine learning analyses of 21 cm reionization maps Epoch of Reionization modelling and simulations for SKA

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Reproducibility of machine learning analyses of 21 cm reionization maps C., Weinberger L

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Reproducibility of machine learning analyses of 21 cm reionization maps R., Gaikwad P., 2016, @doi [ ] 10.1093/mnras/stw192 , https://ui.adsabs.harvard.edu/abs/2016MNRAS.457.4051K 457, 4051

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Reproducibility of machine learning analyses of 21 cm reionization maps Adam: A Method for Stochastic Optimization

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Reproducibility of machine learning analyses of 21 cm reionization maps C., Haehnelt M

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Reproducibility of machine learning analyses of 21 cm reionization maps E., Park I., 2020, @doi [Journal of Korean Physical Society] 10.3938/jkps.77.49 , https://ui.adsabs.harvard.edu/abs/2020JKPS...77...49K 77, 49

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This paper cites Convolutional Networks for Images, Speech, and Time Series, pp 255--258, http://dl.acm.org/citation.cfm?id=303568.303704.

Reproducibility of machine learning analyses of 21 cm reionization maps Convolutional Networks for Images, Speech, and Time Series, pp 255--258, http://dl.acm.org/citation.cfm?id=303568.303704

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Reproducibility of machine learning analyses of 21 cm reionization maps R., 2020, @doi [ ] 10.1088/1538-3873/ab5bfd , https://ui.adsabs.harvard.edu/abs/2020PASP..132f2001L 132, 062001

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Reproducibility of machine learning analyses of 21 cm reionization maps J., 1997, @doi [ ] 10.1086/303549 , https://ui.adsabs.harvard.edu/abs/1997ApJ...475..429M 475, 429

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Reproducibility of machine learning analyses of 21 cm reionization maps R., Mondal R., Watkinson C

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This paper cites G., 2020, @doi [ ] 10.1093/mnras/staa750 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.494..600M 494, 600.

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.255714Z

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Observation 7fabbf18-a980-4231-9117-749b527617a5 · outbound

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.259801Z

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Observation 8f40d14b-8cf7-49b2-8ec5-7d7f11b0eff8 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.263127Z

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Observation 39ade748-6d81-40cb-a262-694e43ff0a2b · outbound

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Reproducibility of machine learning analyses of 21 cm reionization maps G., Bobin J., Carucci I

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.266652Z

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Observation 4d65ebe4-a055-4f02-b2ae-4cb2dd2e0bb5 · outbound

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.269774Z

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Observation 476582f9-bbd6-4ff4-98ef-4ce588d02f92 · outbound

This paper cites an unresolved cited work.

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.272752Z

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Observation 54f5866b-eacf-44d8-b333-f50d1fec192c · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.275740Z

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Observation a27d3563-6d78-4f1a-adc0-ba9e09bfce31 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.278896Z

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Observation 109f891f-614d-4d89-a807-0dda739b1dc9 · outbound

This paper cites an unresolved cited work.

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.282240Z

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Observation 5fe2d9ff-795d-4212-ad4d-62dba5dd5c86 · outbound

This paper cites an unresolved cited work.

Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.286180Z

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Observation 1accad49-2479-422d-9263-b4b894e5871b · outbound

This paper cites an unresolved cited work.

Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.290092Z

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Observation 743aa620-83a0-4f17-a5b0-399e8d638b61 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.293316Z

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Observation c2db499a-15d9-4199-9d59-2b71d7c269c9 · outbound

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.296873Z

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Observation 7de22d31-25c3-4aab-9d98-0d30982eb857 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.300278Z

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Observation 4af618ea-e802-4c32-86b6-cded3521fa2d · outbound

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Resolution: verified exact; doi, observed 2026-08-11T11:05:34.538026Z

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Observation 7d382dc5-d637-499f-97e1-eb6ddb3f721b · outbound

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Observation 78b571c2-0d38-48d5-ba1c-8473dd50580e · outbound

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Observation 9484d3f9-8b68-4504-8aab-bfcd3b96294d · outbound

This paper cites an unresolved cited work.

Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.313751Z

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Observation e1aa8594-8366-4aca-94b9-1ee1af4c3278 · outbound

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Observation 10fa8874-495e-4d5a-a598-5a702a7b77cf · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.321492Z

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Observation 545d804f-e22a-49a2-8600-3a3f7c459806 · outbound

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.325415Z

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Observation b915389e-f365-424b-8fa8-7b04bdab7a38 · outbound

This paper cites an unresolved cited work.

Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.329008Z

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Observation af0bf1c7-e691-4adc-884a-cc55cbb6a184 · outbound

This paper cites an unresolved cited work.

Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.332649Z

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Observation 10df63a6-ba06-4f0f-89c2-7ff959249da6 · outbound

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Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

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Resolution: verified exact; doi, observed 2026-08-11T11:05:34.476007Z

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Observation 06bb279f-2b0b-4b33-9298-a2c657e27bd9 · outbound

This paper cites an unresolved cited work.

Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.338728Z

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Observation bd84061f-5347-4f48-9682-fa5010fa0929 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.342096Z

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Observation 92ca0a06-4a66-4799-a599-4a4506ff33ba · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.345851Z

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Observation af5f9cd4-90df-4d15-9ff1-6147be796a28 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.349250Z

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Observation 3443687a-128f-4e29-b836-b4389c25c74b · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.352934Z

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Observation 41864d7e-66d6-4b07-bfbf-eca090cce2aa · outbound

This paper cites an unresolved cited work.

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.356503Z

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Observation 2528319f-ce1a-4359-83a1-07988ce48576 · outbound

This paper cites an unresolved cited work.

Reproducibility of machine learning analyses of 21 cm reionization maps Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.360010Z

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Observation 82c53e83-01e0-4dba-af6a-c91b6bf46992 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.363746Z

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Observation a5949f33-42aa-4ceb-80ec-e7c2a8c15899 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.367326Z

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Observation 3a648219-ef17-46f7-8fa6-3f99bca85fc4 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.370947Z

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Observation e4ff2bda-bcf9-40b8-95df-fa45a26936c0 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-11T11:05:34.374060Z

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Observation 78ccf989-9f23-455e-a41a-e2670160644e · outbound

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Observation 910bae6c-a7ac-4d3b-b8c3-d7c753432b3a · outbound

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Observation c06d2c2b-cca5-410c-a51b-3cefe5ddf791 · inbound

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Observation 7265ae9a-3731-408d-aedd-96d619567abc · inbound

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Resolution: verified exact; arxiv_id, observed 2026-05-19T17:42:41.655912Z

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Resolution: verified exact; arxiv_id, observed 2026-06-30T22:55:06.509676Z

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Observation c39ac92d-8bba-4558-9169-2fbda3570b08 · inbound

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