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Paper Citation Record · LEDGER

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning

As of 12 August 2026, this Paper Citation Record lists 100 of 139 outbound references and 0 inbound Pith citation observations for arXiv:2412.05564.

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

pith.paper-citation-record.v1
2412.05564 v1

Coverage vector

measured 100 of 139 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-11T20:41:09.455205Z

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 139 outbound references displayed

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  • verified fuzzy0
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External citation measurements

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Outbound references

Observation 89a4c7bb-f9cb-4ff7-8d1c-57d3990c7df4 · outbound

This paper cites g HJ( 8[ Nb,4ge? 4k<,ק eD b)(1YbnE 'c֪ ->>ݟ Ooeu JR Ek,NÇi szodyVeO s| m=9 g b 0ZS_O2QEWVNA Sθ uս>3 H @cm U1^6S?I ^,.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning g HJ( 8[ Nb,4ge? 4k<,ק eD b)(1YbnE 'c֪ ->>ݟ Ooeu JR Ek,NÇi szodyVeO s| m=9 g b 0ZS_O2QEWVNA Sθ uս>3 H @cm U1^6S?I ^,

Reference 1

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Observation e6472313-08fe-4ee0-9324-e057253acb7e · outbound

This paper cites P., Abbott , R., Abbott , T.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning P., Abbott , R., Abbott , T

Reference 2

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Observation 8a66dac0-77ab-43a9-ad78-2672287665b4 · outbound

This paper cites P., Anand , S., et al.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning P., Anand , S., et al

Reference 3

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Observation c60b3fda-a168-419a-826f-46760a42eb9f · outbound

This paper cites M., Bianco , C.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning M., Bianco , C

Reference 4

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Observation 9ca73f52-133e-4ef9-84ce-a9fc656e9ed3 · outbound

This paper cites 2002, , 390, 81, 10.1051/0004-6361:20020722.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2002, , 390, 81, 10.1051/0004-6361:20020722

Reference 5

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Observation 131ccdc1-7261-427a-9800-34b30cd58f59 · outbound

This paper cites A., D'Avanzo , P., Perna , R., et al.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning A., D'Avanzo , P., Perna , R., et al

Reference 6

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Observation b1bc5cf3-d51b-4a60-b2b7-09822a69bdc2 · outbound

This paper cites 1993, , 413, 281, 10.1086/172995.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 1993, , 413, 281, 10.1086/172995

Reference 7

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Observation 615ea58f-0079-4eaa-82c7-1b3cbf3c9f62 · outbound

This paper cites an unresolved cited work.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning Unresolved cited work

Reference 8

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Observation 75f53859-3f73-46b4-887c-abc877176a9f · outbound

This paper cites L., Troja , E., Watson , A.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning L., Troja , E., Watson , A

Reference 9

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Observation 847a9e46-b9c4-49ee-a64f-293f7ee57cfb · outbound

This paper cites R., et al.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning R., et al

Reference 10

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Observation 99b45476-a4fb-4294-b19f-5536caa56e63 · outbound

This paper cites G., Bianco , C.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning G., Bianco , C

Reference 11

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Observation 58d51272-4c77-420e-848a-104784e75580 · outbound

This paper cites G., Venkatesh , S., et al.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning G., Venkatesh , S., et al

Reference 12

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Observation 71e6fb97-15b6-43bd-b6f9-033dbe36d2d3 · outbound

This paper cites an unresolved cited work.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning Unresolved cited work

Reference 13

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Observation a52abd9b-cde8-4199-aea2-944a3945665e · outbound

This paper cites The prompt energy release of gamma-ray bursts using a cosmological k-correction.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning The prompt energy release of gamma-ray bursts using a cosmological k-correction

Reference 14

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Observation 3ac0f965-a888-426a-856d-b7f51035afce · outbound

This paper cites D., & Stefanski, L.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning D., & Stefanski, L

Reference 15

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Observation 704585f1-55f4-412d-8e8d-73c7e54ece67 · outbound

This paper cites 2013, , 764, 179, 10.1088/0004-637X/764/2/179.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2013, , 764, 179, 10.1088/0004-637X/764/2/179

Reference 16

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Observation d621a184-e80a-4878-8c84-d39f948feeee · outbound

This paper cites 2014, , 568, A19, 10.1051/0004-6361/201423920.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2014, , 568, A19, 10.1051/0004-6361/201423920

Reference 17

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Observation d35bb1ea-687f-4fa2-8d0f-8ec902319270 · outbound

This paper cites 2015, , 452, 1535, 10.1093/mnras/stv1327.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2015, , 452, 1535, 10.1093/mnras/stv1327

Reference 18

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Observation f58593df-0bb6-43af-9955-989d2030a07d · outbound

This paper cites 2017, , 605, A107, 10.1051/0004-6361/201731005.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2017, , 605, A107, 10.1051/0004-6361/201731005

Reference 19

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Observation ff63ea6f-91b5-444c-ae02-3f18b4a8d9c2 · outbound

This paper cites 2022, , 512, 439, 10.1093/mnras/stac517.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2022, , 512, 439, 10.1093/mnras/stac517

Reference 20

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Observation bc3357e7-5ec7-4fbf-a898-3a452c958fc6 · outbound

This paper cites B., Gal-Yam , A., Kasliwal , M.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning B., Gal-Yam , A., Kasliwal , M

Reference 21

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This paper cites 2024, , 964, 45, 10.3847/1538-4357/ad26fc.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2024, , 964, 45, 10.3847/1538-4357/ad26fc

Reference 22

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Observation 6e13f0cb-184e-44a4-bc20-71e61f201763 · outbound

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Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2021, , 920, 53, 10.3847/1538-4357/ac14b8

Reference 23

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This paper cites 2024, , 527, 4272, 10.1093/mnras/stad3407.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2024, , 527, 4272, 10.1093/mnras/stad3407

Reference 24

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This paper cites E., Bloom , J.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning E., Bloom , J

Reference 25

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This paper cites G., Cardone , V.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning G., Cardone , V

Reference 26

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This paper cites G., Fabrizio Cardone , V., Capozziello , S., Ostrowski , M., & Willingale , R.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning G., Fabrizio Cardone , V., Capozziello , S., Ostrowski , M., & Willingale , R

Reference 27

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This paper cites G., Levine , D., Fraija , N., Warren , D., & Sourav , S.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning G., Levine , D., Fraija , N., Warren , D., & Sourav , S

Reference 28

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This paper cites G., Nagataki , S., Maeda , K., Postnikov , S., & Pian , E.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning G., Nagataki , S., Maeda , K., Postnikov , S., & Pian , E

Reference 29

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Observation 3a027140-1417-427d-80ba-567140c6bc25 · outbound

This paper cites G., Postnikov , S., Hernandez , X., & Ostrowski , M.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning G., Postnikov , S., Hernandez , X., & Ostrowski , M

Reference 30

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This paper cites G., Sharma , R., Narendra , A., et al.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning G., Sharma , R., Narendra , A., et al

Reference 31

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This paper cites G., Willingale , R., Capozziello , S., Fabrizio Cardone , V., & Ostrowski , M.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning G., Willingale , R., Capozziello , S., Fabrizio Cardone , V., & Ostrowski , M

Reference 32

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This paper cites G., Livermore , S., Kann , D.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning G., Livermore , S., Kann , D

Reference 33

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This paper cites G., Young , S., Li , L., et al.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning G., Young , S., Li , L., et al

Reference 34

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This paper cites 2006, , 444, 1050, 10.1038/nature05374.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2006, , 444, 1050, 10.1038/nature05374

Reference 35

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Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2024, TensorFlow, v2.17.0, Zenodo, 10.5281/zenodo.12726004

Reference 36

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verified exact
doi, observed 2026-08-11T20:43:33.444691Z

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.

source=arxiv_source observed=2026-08-11T20:41:09.297065Z digest=sha256:f23725575a86ff6b1d617b7362f7008eeae9edd7807e9acfefd73d99f0f70bc2

Observation b5c326bc-78c6-4a67-999e-a70874ea758e · outbound

This paper cites Diversity in Fermi/GBM Gamma Ray Bursts: New insights from Machine Learning.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning Diversity in Fermi/GBM Gamma Ray Bursts: New insights from Machine Learning

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no resolver link, observed 2026-08-11T20:41:09.299573Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.299573Z digest=sha256:dce5ebf87e63576587869c3457e99d333f146f4592b63c146e8f5d76f8ff1b1e

Observation 6df6eed0-48aa-41c9-9143-fe1e394f35ca · outbound

This paper cites 2022, Journal of Astrophysics and Astronomy, 43, 39, 10.1007/s12036-022-09822-x.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2022, Journal of Astrophysics and Astronomy, 43, 39, 10.1007/s12036-022-09822-x

Reference 38

Resolution
verified exact
doi, observed 2026-08-11T20:43:33.422710Z

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.

source=arxiv_source observed=2026-08-11T20:41:09.302313Z digest=sha256:6658a40e782866b4b4dd775de3dca4b273875afffcaacb99173af915f3d027a1

Observation a2eb3744-26f6-465b-a5fc-89fdb295933f · outbound

This paper cites 2024, , 962, L27, 10.3847/2041-8213/ad22e2.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2024, , 962, L27, 10.3847/2041-8213/ad22e2

Reference 39

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no resolver link, observed 2026-08-11T20:41:09.304757Z

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source=arxiv_source observed=2026-08-11T20:41:09.304757Z digest=sha256:fe2f9794098ff0cd6c3e3b6803b12e34ceb18dfe68473fa5ef186cdce7fae311

Observation 0b25d1c5-1c49-42b8-bcd6-ac371d3572aa · outbound

This paper cites an unresolved cited work.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning Unresolved cited work

Reference 40

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no resolver link, observed 2026-08-11T20:41:09.307203Z

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source=arxiv_source observed=2026-08-11T20:41:09.307203Z digest=sha256:987caaddc803756a6bcc44bb0f800bd1f146f7dff39dd9aa668ce2361ce42d3a

Observation ea5972ae-fe37-4178-a046-386de430c2dd · outbound

This paper cites an unresolved cited work.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning Unresolved cited work

Reference 41

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no resolver link, observed 2026-08-11T20:41:09.309709Z

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source=arxiv_source observed=2026-08-11T20:41:09.309709Z digest=sha256:8d1908d58cea0a3209afa2eaac32d6bc14d82072ac7ff9d25fbb1dde9b1320e1

Observation 670c767b-6c19-401c-adea-45bf64b5d4fd · outbound

This paper cites B., Price , P.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning B., Price , P

Reference 42

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unresolved
no resolver link, observed 2026-08-11T20:41:09.312068Z

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source=arxiv_source observed=2026-08-11T20:41:09.312068Z digest=sha256:e19191f7c0392d886cc45bb29993b0d3fb26d7ab7e6a67d5dce0817e435a7b58

Observation 53e73f97-4a03-4786-899d-28bae0a08950 · outbound

This paper cites J., Vreeswijk , P.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning J., Vreeswijk , P

Reference 43

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malformed identifier
no resolver link, observed 2026-08-11T20:41:09.314629Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.314629Z digest=sha256:6e4ddc5f73b02361086f55be4d5340b77ce46e26dfe4b9f3ec4bdcf9f2207a82

Observation 35235822-2d45-4395-91a4-9f174e7f3f62 · outbound

This paper cites L., De Colle , F., Cabrera , J.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning L., De Colle , F., Cabrera , J

Reference 44

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no resolver link, observed 2026-08-11T20:41:09.317122Z

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source=arxiv_source observed=2026-08-11T20:41:09.317122Z digest=sha256:f2efbb17df5297f82fd10fc61eb742574bbdbd8f22f4f6c6d18f9815b8d709eb

Observation a6a67e6e-369c-4498-9091-43706d535e1c · outbound

This paper cites P., Barthelmy , S.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning P., Barthelmy , S

Reference 45

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unresolved
no resolver link, observed 2026-08-11T20:41:09.319411Z

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source=arxiv_source observed=2026-08-11T20:41:09.319411Z digest=sha256:1fa8ee8d4957b835566fc984845b1a61508a1dd06286ae8a8c07ce15878ad478

Observation 45111943-c406-442d-aee5-1d105b91a85a · outbound

This paper cites H., & Kocevski, D.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning H., & Kocevski, D

Reference 46

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no resolver link, observed 2026-08-11T20:41:09.321831Z

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source=arxiv_source observed=2026-08-11T20:41:09.321831Z digest=sha256:2be71cf8aba729dd17af6d5c102f2192d0b7857461e623bee0881a1323612e9a

Observation 49145118-708a-42d6-85de-db32075a4410 · outbound

This paper cites 2017, , 848, L14, 10.3847/2041-8213/aa8f41.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2017, , 848, L14, 10.3847/2041-8213/aa8f41

Reference 47

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unresolved
no resolver link, observed 2026-08-11T20:41:09.324218Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T20:41:09.324218Z digest=sha256:d49b561bf4b52a3efa21923799432943774585a302fe2320522a344d3a956598

Observation f9cf460e-c52f-4e58-9be7-735b8708d67d · outbound

This paper cites P., Ravasio , M.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning P., Ravasio , M

Reference 48

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no resolver link, observed 2026-08-11T20:41:09.326824Z

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source=arxiv_source observed=2026-08-11T20:41:09.326824Z digest=sha256:4eb1e2225d57b7185788845a6a2133b8e01e8b12e25d987c61a175c2d778c1cf

Observation bfd12706-d0e9-44d2-9492-2bf86d565eab · outbound

This paper cites 2023, , 954, L21, 10.3847/2041-8213/aceeff.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2023, , 954, L21, 10.3847/2041-8213/aceeff

Reference 49

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no resolver link, observed 2026-08-11T20:41:09.329193Z

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source=arxiv_source observed=2026-08-11T20:41:09.329193Z digest=sha256:70491e7be9282f56ae41905c488fab0a3b82815a38e7c2e63d57bd9dcd088b70

Observation 2bff256e-8d46-4331-b216-dced8166e37d · outbound

This paper cites W., Roiger , R.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning W., Roiger , R

Reference 50

Resolution
verified exact
doi, observed 2026-08-11T20:43:33.286824Z

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.

source=arxiv_source observed=2026-08-11T20:41:09.331480Z digest=sha256:afd1a08ad17bd77f90e99834d4ef883543f14fa0781f4a0ae4cc7a305ee1f1ce

Observation 6cc2ef73-666e-4850-bb82-e5173d64d115 · outbound

This paper cites R., Millman , K.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning R., Millman , K

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.333992Z

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source=arxiv_source observed=2026-08-11T20:41:09.333992Z digest=sha256:59c128066458c6736292bcab1eaa5703064a46b3d1ee41dae38170b609a4e388

Observation 47c9deac-d101-4d19-b906-c2e59b094165 · outbound

This paper cites 2016, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR, 1, 10.1109/CVPR.2016.90.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2016, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR, 1, 10.1109/CVPR.2016.90

Reference 52

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unresolved
no resolver link, observed 2026-08-11T20:41:09.336851Z

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source=arxiv_source observed=2026-08-11T20:41:09.336851Z digest=sha256:d050cd72560aa0af7daec49374a635f3760a0736f1532bc751b77d6b21797588

Observation 6a2e45b4-831c-4c35-b41b-03f8db869131 · outbound

This paper cites 1998, , 508, 757, 10.1086/306416.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 1998, , 508, 757, 10.1086/306416

Reference 53

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verified exact
doi, observed 2026-08-11T20:41:09.933881Z

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.

source=arxiv_source observed=2026-08-11T20:41:09.339138Z digest=sha256:d72b2a1af927874e025dacadd3a3699e0fde27faf1dd40be90d90abec15233c5

Observation d6561d85-7a42-4d83-a367-679e890584ee · outbound

This paper cites 2002, , 392, 791, 10.1051/0004-6361:20020808.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2002, , 392, 791, 10.1051/0004-6361:20020808

Reference 54

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unresolved
no resolver link, observed 2026-08-11T20:41:09.341595Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T20:41:09.341595Z digest=sha256:d95a2ee903c52e1b81695e95e65ee06f97a331f46bca562b1a22d39978838832

Observation 4171d643-7c53-4937-8b9a-e9bcddbbe6a8 · outbound

This paper cites G., Bagoly , Z., & Veres , P.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning G., Bagoly , Z., & Veres , P

Reference 55

Resolution
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no resolver link, observed 2026-08-11T20:41:09.343974Z

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source=arxiv_source observed=2026-08-11T20:41:09.343974Z digest=sha256:3cf3e2c6933adf0375ae198379afe4de821519681c6b7b98a21289837cd76d57

Observation ff21c3da-952e-493a-80ff-9b0a86cd3912 · outbound

This paper cites 2019, , 364, 105, 10.1007/s10509-019-3585-1.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2019, , 364, 105, 10.1007/s10509-019-3585-1

Reference 56

Resolution
verified exact
doi, observed 2026-08-11T20:41:09.919446Z

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.

source=arxiv_source observed=2026-08-11T20:41:09.346524Z digest=sha256:d80cfde4035d663fcc29a129009a51ebda1ef7250da4c092468f0b57e7690d3a

Observation 5f3358d7-c25d-4ac2-9fdb-03c4baa1ab01 · outbound

This paper cites an unresolved cited work.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning Unresolved cited work

Reference 57

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no resolver link, observed 2026-08-11T20:41:09.348844Z

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source=arxiv_source observed=2026-08-11T20:41:09.348844Z digest=sha256:140d61021dd308157bd1da83597d015d65e0b4d4afcfaf81b01d7d52ae77340e

Observation bfccd5d1-a1bb-46d1-9052-6b35c3d8bdfd · outbound

This paper cites an unresolved cited work.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning Unresolved cited work

Reference 58

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no resolver link, observed 2026-08-11T20:41:09.351135Z

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source=arxiv_source observed=2026-08-11T20:41:09.351135Z digest=sha256:6778abcfd8a6ca11254fd1f801389919a598fbeb67979c462346233e49c52cf0

Observation 71f48b9e-a0af-4f14-b292-2513116281b9 · outbound

This paper cites K., Severin , J.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning K., Severin , J

Reference 59

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no resolver link, observed 2026-08-11T20:41:09.353580Z

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source=arxiv_source observed=2026-08-11T20:41:09.353580Z digest=sha256:c2371c5278466e224195e89eb659968db6a16941d9f4117368957054b531f366

Observation 5553d9bb-4473-44a3-b75f-10a762e704e9 · outbound

This paper cites F., G \"o g \"u s , E., & Lin , L.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning F., G \"o g \"u s , E., & Lin , L

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unresolved
no resolver link, observed 2026-08-11T20:41:09.356091Z

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source=arxiv_source observed=2026-08-11T20:41:09.356091Z digest=sha256:00a2447da5d0d7d567f2e8a9defd54a496db31302e1c8daf4354746430ca503b

Observation 1fa50ad8-6bde-4cfc-9af9-11938e5550fe · outbound

This paper cites 2022, Journal of Astrophysics and Astronomy, 43, 76, 10.1007/s12036-022-09871-2.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2022, Journal of Astrophysics and Astronomy, 43, 76, 10.1007/s12036-022-09871-2

Reference 61

Resolution
verified exact
doi, observed 2026-08-11T20:41:09.897906Z

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.

source=arxiv_source observed=2026-08-11T20:41:09.358519Z digest=sha256:9f545abae8569bba6f80d57b4eb7567ab75f73a4b843c959959c494c1464e2b5

Observation 8e7c8410-5c97-43f8-8c71-ff31c25ec506 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning Adam: A Method for Stochastic Optimization

Reference 62

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no resolver link, observed 2026-08-11T20:41:09.360796Z

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source=arxiv_source observed=2026-08-11T20:41:09.360796Z digest=sha256:8031c6c5b8826544952aabcfe30abcae9d9ac0b9ce8834f603b9d24b276f397a

Observation 4e0ae712-f302-44aa-b92a-2b6ccf2a8fe4 · outbound

This paper cites A., Fishman , G.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning A., Fishman , G

Reference 63

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no resolver link, observed 2026-08-11T20:41:09.363326Z

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source=arxiv_source observed=2026-08-11T20:41:09.363326Z digest=sha256:635ad8a488ce4aacca970d68dba2102f50a7dfab0b3e3784f9039d03a0c92fee

Observation 62a93772-34a3-42fb-84ef-5dc5b08569a6 · outbound

This paper cites 2017, , 362, 70, 10.1007/s10509-017-3047-6.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2017, , 362, 70, 10.1007/s10509-017-3047-6

Reference 64

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no resolver link, observed 2026-08-11T20:41:09.365767Z

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source=arxiv_source observed=2026-08-11T20:41:09.365767Z digest=sha256:d9b4cd91d0c63f654dd344b15104f3cb8f4dacdc2bf6633262375503a90aad24

Observation a14eb90c-f14f-41a7-898e-45d55fcdf210 · outbound

This paper cites R., Frail , D.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning R., Frail , D

Reference 65

Resolution
malformed identifier
no resolver link, observed 2026-08-11T20:41:09.368112Z

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source=arxiv_source observed=2026-08-11T20:41:09.368112Z digest=sha256:5b25df3d88a62a04986c0405a3d4143da20530a07a256fb0df59c8c9f3d59fa3

Observation ac42c039-71e1-4437-b494-22e485a6141a · outbound

This paper cites 2020, , 492, 3622, 10.1093/mnras/staa044.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2020, , 492, 3622, 10.1093/mnras/staa044

Reference 66

Resolution
verified exact
doi, observed 2026-08-11T20:41:09.873936Z

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.

source=arxiv_source observed=2026-08-11T20:41:09.370269Z digest=sha256:644777efa38ddcc78f001b98de3aeb5434a6d39559407d0e5402e76750d0034b

Observation 4aae1ac9-f059-4416-bd73-a3f8a0ec29fe · outbound

This paper cites 2014, Molecular psychiatry, 19, 1336.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2014, Molecular psychiatry, 19, 1336

Reference 67

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unresolved
no resolver link, observed 2026-08-11T20:41:09.372784Z

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source=arxiv_source observed=2026-08-11T20:41:09.372784Z digest=sha256:dec487acf5a367b255ea5a1de34758c5c202f935da5788c9ec63e4a9946a9d60

Observation 1fd06476-67a2-413d-9af7-603c38c800e2 · outbound

This paper cites J., Gompertz , B.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning J., Gompertz , B

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no resolver link, observed 2026-08-11T20:41:09.375120Z

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source=arxiv_source observed=2026-08-11T20:41:09.375120Z digest=sha256:f895b05e5827446daf731e24c1a73af83f87c36fa17df8837af5ac095d61ca36

Observation ace6cdbd-986b-4f53-8777-be64a44a74da · outbound

This paper cites M., & Kewley , L.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning M., & Kewley , L

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unresolved
no resolver link, observed 2026-08-11T20:41:09.377491Z

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source=arxiv_source observed=2026-08-11T20:41:09.377491Z digest=sha256:448b39971e46f8e579a33000219db0d015a532b5f205508ef2dffa1440198d6e

Observation 47bfcd0b-2e1d-44d4-889c-28b94a6cef65 · outbound

This paper cites 2016, , 227, 7, 10.3847/0067-0049/227/1/7.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2016, , 227, 7, 10.3847/0067-0049/227/1/7

Reference 70

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no resolver link, observed 2026-08-11T20:41:09.379883Z

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source=arxiv_source observed=2026-08-11T20:41:09.379883Z digest=sha256:5f0e92a6b45888fb7e310b527ad89d91e58a913e91a6564adcb7d22dec1e77ac

Observation e5c8e4fa-244d-4e6f-8598-96ffdfde2874 · outbound

This paper cites an unresolved cited work.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning Unresolved cited work

Reference 71

Resolution
verified exact
doi, observed 2026-08-11T20:41:09.856088Z

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.

source=arxiv_source observed=2026-08-11T20:41:09.382236Z digest=sha256:846009321d06dd8b770f1e5c7ba8380e074731060770d0a883ee1ead22b71ede

Observation c088cc6a-d1d9-4150-a66c-213c580d11ca · outbound

This paper cites 2022, Research in Astronomy and Astrophysics, 22, 105007, 10.1088/1674-4527/ac833a.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2022, Research in Astronomy and Astrophysics, 22, 105007, 10.1088/1674-4527/ac833a

Reference 72

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unresolved
no resolver link, observed 2026-08-11T20:41:09.384971Z

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source=arxiv_source observed=2026-08-11T20:41:09.384971Z digest=sha256:2b9a464b3af4c60dcf120240f331c0973a49ac09fb445ec2b7565a2f86dc118c

Observation 0a174590-b16b-4cab-9aaf-91812bc39a4a · outbound

This paper cites 2023, , 959, 44, 10.3847/1538-4357/ad03ec.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2023, , 959, 44, 10.3847/1538-4357/ad03ec

Reference 73

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no resolver link, observed 2026-08-11T20:41:09.387474Z

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source=arxiv_source observed=2026-08-11T20:41:09.387474Z digest=sha256:4789b200d6d1751315871049e8ff4a78b092e7592ca96309ba43c5708ed84245

Observation 70e5bd16-2dc9-4ad6-8500-39ab3d022a2c · outbound

This paper cites P., Golenetskii , S.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning P., Golenetskii , S

Reference 74

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no resolver link, observed 2026-08-11T20:41:09.389992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.389992Z digest=sha256:45970b8337c59514bd1d3055bbbd61a7ba3a45a1cef059229b284e2c00f6247e

Observation 6036a20a-94ec-4691-a376-7397a2c16099 · outbound

This paper cites 2008, , 677, L85, 10.1086/588189.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2008, , 677, L85, 10.1086/588189

Reference 75

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no resolver link, observed 2026-08-11T20:41:09.392937Z

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source=arxiv_source observed=2026-08-11T20:41:09.392937Z digest=sha256:0802ba6800331b6a0aaee01cf2c010c447e8d2dd1eaff40fb0fd2f1c4e056917

Observation 3fb55bd7-76e9-4cb7-9b23-8f8b674bd90a · outbound

This paper cites 2024, , 969, 88, 10.3847/1538-4357/ad43e7.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2024, , 969, 88, 10.3847/1538-4357/ad43e7

Reference 76

Resolution
verified exact
doi, observed 2026-08-11T20:41:09.834368Z

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.

source=arxiv_source observed=2026-08-11T20:41:09.395468Z digest=sha256:ff4f04e211bf23d125d62bed9c192dfa365483c6e77fc3b493c7821c2ffebb7c

Observation 6c44e63f-ab63-4052-9094-a92eed45355f · outbound

This paper cites B., Izzo , L., et al.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning B., Izzo , L., et al

Reference 77

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no resolver link, observed 2026-08-11T20:41:09.397960Z

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source=arxiv_source observed=2026-08-11T20:41:09.397960Z digest=sha256:e4e088c7d6109aac3e7b39df7327633976329ee869d5eecbdc87cb8d713926ea

Observation 0543eb19-a912-44ad-97d0-ccaa69ea24f5 · outbound

This paper cites 2022, , 659, A39, 10.1051/0004-6361/202141788.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2022, , 659, A39, 10.1051/0004-6361/202141788

Reference 78

Resolution
verified exact
doi, observed 2026-08-11T20:41:09.823205Z

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.

source=arxiv_source observed=2026-08-11T20:41:09.400572Z digest=sha256:cc60ac2b30d7f2525ff9eb707dc8714a449dd82f527e90e2bd1c44997a6a4b7c

Observation 1f7e08ea-8358-4726-91fe-792b68b188a3 · outbound

This paper cites 2006, Reports on Progress in Physics, 69, 2259, 10.1088/0034-4885/69/8/R01.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2006, Reports on Progress in Physics, 69, 2259, 10.1088/0034-4885/69/8/R01

Reference 79

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unresolved
no resolver link, observed 2026-08-11T20:41:09.402994Z

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source=arxiv_source observed=2026-08-11T20:41:09.402994Z digest=sha256:7fa6849167c42f1463722d6e715b1ca34e413174a2fbf52b6178f9bbc24cce3b

Observation 2044480b-84e3-4681-9c38-bf4bc8670dbf · outbound

This paper cites an unresolved cited work.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning Unresolved cited work

Reference 80

Resolution
verified exact
doi, observed 2026-08-11T20:41:09.812366Z

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.

source=arxiv_source observed=2026-08-11T20:41:09.405545Z digest=sha256:c2b5265bb4c71a98ccf459f9300390b29b25a02b5896e1082c4050b59f8bce6c

Observation cc070985-b7b8-4093-bd15-b11e2952836c · outbound

This paper cites Y., & Pozanenko , A.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning Y., & Pozanenko , A

Reference 81

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unresolved
no resolver link, observed 2026-08-11T20:41:09.408002Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T20:41:09.408002Z digest=sha256:057dfae44fb4fb4fbf600e9e533e0e17e9e659ec5ae11315aa1a38d1fcaa7c1a

Observation 2859fa6a-038e-4108-8442-0fb813d89277 · outbound

This paper cites 2021, Astronomy and Computing, 34, 100441, 10.1016/j.ascom.2020.100441.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2021, Astronomy and Computing, 34, 100441, 10.1016/j.ascom.2020.100441

Reference 82

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no resolver link, observed 2026-08-11T20:41:09.410467Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T20:41:09.410467Z digest=sha256:e9db609f4e321f1519d6dd2dcd4b5fc642c9e7281b2a02c33e8a3014d97f7983

Observation 6c5363a3-07b0-458e-8c94-3281dd52f901 · outbound

This paper cites an unresolved cited work.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning Unresolved cited work

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.412927Z

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source=arxiv_source observed=2026-08-11T20:41:09.412927Z digest=sha256:9b6c6dd9cb63d2210baed557d64321ed114fef369dfcac7683ab344d3ef4187d

Observation 43456b6d-205a-4ade-9c97-9854156dd8d0 · outbound

This paper cites 2011, , 531, L6, 10.1051/0004-6361/201116657.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2011, , 531, L6, 10.1051/0004-6361/201116657

Reference 84

Resolution
verified exact
doi, observed 2026-08-11T20:41:09.801692Z

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.

source=arxiv_source observed=2026-08-11T20:41:09.415409Z digest=sha256:2cd2fbadce0fd621f4f3b2dba5cd7c98a4c6311d40a60f2f06e841010b1b98f8

Observation 5844179c-96ba-4abb-b2ab-556e9d990d42 · outbound

This paper cites P., & Bonnell , J.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning P., & Bonnell , J

Reference 85

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unresolved
no resolver link, observed 2026-08-11T20:41:09.417664Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T20:41:09.417664Z digest=sha256:3029a74180d55cc4ab7a531606491ac9edccb64d1e958c5ef385c306625a0ff9

Observation 4db3ba76-917e-44dd-88f9-d8c0ef9ffcd9 · outbound

This paper cites P., Cline , T.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning P., Cline , T

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.420198Z

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source=arxiv_source observed=2026-08-11T20:41:09.420198Z digest=sha256:7a73c815d830d46bdb248e05cbea30b8263c47e49a1430547a77449621183a14

Observation 18a9e689-b673-4a73-a142-0afdaed533a8 · outbound

This paper cites P., Gehrels , N., & Scargle , J.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning P., Gehrels , N., & Scargle , J

Reference 87

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unresolved
no resolver link, observed 2026-08-11T20:41:09.422815Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T20:41:09.422815Z digest=sha256:220f7363b5deeac7541806b5c8cbc47ea27a395c5d98c6eb25550c3ac05770e5

Observation 30f2d6e0-0787-4e10-b65d-cc65ae64f120 · outbound

This paper cites O., Cenko , S.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning O., Cenko , S

Reference 88

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no resolver link, observed 2026-08-11T20:41:09.425277Z

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source=arxiv_source observed=2026-08-11T20:41:09.425277Z digest=sha256:be9e713fa41ae8dcb33ea8111c56a3e210f52435e0ecf0e9828480b71ea5b5fc

Observation b3677d87-2f2c-4a58-8c3c-7aeb28625883 · outbound

This paper cites 1986, , 308, L43, 10.1086/184740.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 1986, , 308, L43, 10.1086/184740

Reference 89

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no resolver link, observed 2026-08-11T20:41:09.427780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.427780Z digest=sha256:0d0379a05d2c30d13888c07c0a61952f2f542df7d3221fc47c75653f36844c02

Observation 8da7e8d6-7c08-432a-812d-5bd414a48000 · outbound

This paper cites 1998, , 494, L45, 10.1086/311148.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 1998, , 494, L45, 10.1086/311148

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.430232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.430232Z digest=sha256:5eaac9b4c933b4678b7426c7708dc80c4dc00f7b10050e18318b560dfe89e48f

Observation 540e3d15-7930-45b7-81b8-35b31140dc5a · outbound

This paper cites 2023, , 945, 106, 10.3847/1538-4357/acba0a.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2023, , 945, 106, 10.3847/1538-4357/acba0a

Reference 91

Resolution
verified exact
doi, observed 2026-08-11T20:41:09.772395Z

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.

source=arxiv_source observed=2026-08-11T20:41:09.433011Z digest=sha256:513066ead6055ac243e53aa780d9ef5769ad340e080f5d9135b8898d7eb3dc9e

Observation 3dc1619a-7348-4574-bd1c-3a9dc299d136 · outbound

This paper cites 2011, Journal of Machine Learning Research, 12, 2825.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2011, Journal of Machine Learning Research, 12, 2825

Reference 92

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unresolved
no resolver link, observed 2026-08-11T20:41:09.435539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.435539Z digest=sha256:25c991c04319084fc34c95013b7fed0faf7626b8ec52cc36ff5803983254aa89

Observation 0514915e-ad95-49d0-ad08-2ab3f432f6a0 · outbound

This paper cites 2024, , 969, 26, 10.3847/1538-4357/ad45fc.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2024, , 969, 26, 10.3847/1538-4357/ad45fc

Reference 93

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unresolved
no resolver link, observed 2026-08-11T20:41:09.438044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.438044Z digest=sha256:02bd632ea9b47c6f4c99e10718b6f13d5252eb2f9caa64ae20e79fcceddedb92

Observation caf6ac1a-5757-416b-bfba-5418597380f2 · outbound

This paper cites an unresolved cited work.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning Unresolved cited work

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.440437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.440437Z digest=sha256:1d4c07b2c0fbecc990fb5e2d20b1921c713c076d90a1f9e6b92b6c00113a1533

Observation 85a79c45-3700-48fe-9a03-6404b96f637f · outbound

This paper cites 2013, , 430, 163, 10.1093/mnras/sts547.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2013, , 430, 163, 10.1093/mnras/sts547

Reference 95

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no resolver link, observed 2026-08-11T20:41:09.442747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.442747Z digest=sha256:4bcb979c84e2add199b16146af8d389e9ab281271b7663678b804b33c162e15d

Observation 1d34dcbd-6121-48b6-a39b-bdc505b8b986 · outbound

This paper cites C., Gompertz , B.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning C., Gompertz , B

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.445342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.445342Z digest=sha256:a7166a96fb6cb2a5584793065bd747674264b84bb01005ab0930207705014170

Observation e8339e5a-bcf0-493c-ab5b-81fda09c8da5 · outbound

This paper cites 2022 a , , 932, 1, 10.3847/1538-4357/ac60a2.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2022 a , , 932, 1, 10.3847/1538-4357/ac60a2

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.447855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.447855Z digest=sha256:6f202fb1cf6755a21ebd7c28ebbc0bb40b2a464bc8fa4bbf6ea578c106c841ef

Observation 3142e14b-4292-4e80-8b9f-9ed89605539d · outbound

This paper cites 2022 b , GRB Coordinates Network, 31596, 1.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2022 b , GRB Coordinates Network, 31596, 1

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.450281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.450281Z digest=sha256:d5aa83a3ab2ef0dea8672f188f4733c452f6f7674f0bde455c716a9960d4e841

Observation 7eba3a89-cdab-4afc-8d88-b297155f92d6 · outbound

This paper cites 2022, Galaxies, 10, 77, 10.3390/galaxies10040077.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2022, Galaxies, 10, 77, 10.3390/galaxies10040077

Reference 99

Resolution
verified exact
doi, observed 2026-08-11T20:41:09.746875Z

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.

source=arxiv_source observed=2026-08-11T20:41:09.452897Z digest=sha256:8b36fc3f7353ccb10508476892e344c8cb0bcdee98db745047bb32bd0415bc63

Observation b7ea887c-c206-4068-86f3-b4a7b32681ae · outbound

This paper cites 2009, , 461, 1258, 10.1038/nature08445.

Classification and physical characteristics analysis of Fermi-GBM Gamma-ray bursts based on Deep-learning 2009, , 461, 1258, 10.1038/nature08445

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.455205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.455205Z digest=sha256:3d383d9c8a81c6d92337d74d2792da516481a32a33ad0b2b44df7e5267c9f1cb

Pith citing papers

No inbound Pith citation observations are available.