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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 21 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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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

No source-named external measurement is stored.

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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Observation d8cd6c0b-0402-4428-bbc8-720170e2fd75 · outbound

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

This paper cites 2021, , 920, 53, 10.3847/1538-4357/ac14b8.

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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Observation f3d0f3c3-27d8-4366-93e6-00839905cc6e · outbound

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T20:41:09.297065Z digest=sha256:f1e2fed6c576ef7a03c22370dacf01cce9bb7a892de4001a6412b0946d8754b3

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

Reference 37

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.299573Z digest=sha256:462a139c628393cfaf393725f1d07412ffe1b31ba52ffe1e6a25d58f6deb6c2e

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T20:41:09.302313Z digest=sha256:e4d19ac852a61f307c0f3e906706729e1825a1ab8784f8acad51840486d9a4ee

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.304757Z digest=sha256:58ea37f0b295c75855524a8833a7918f07d67d705c2f8bb412b1e58b176f5eaf

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.307203Z digest=sha256:203439c5e187c15337f40171f3ffc49bdbc00ead513c00843c2dc1c57821e33b

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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unresolved
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:e675ba38cd1af767c48c4814f92a2648ca10f764c2c9acb7f138a2b4349d41af

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.312068Z digest=sha256:de34db9facbb38570784553f2ccf6ec75c388384a0e66bd9095c1a12568ffdd4

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.314629Z digest=sha256:3324a2bd9ae993580464a158114ae7eee4e2f558303656d03ecd5a9f501df682

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.317122Z digest=sha256:e68865b281453e3ca0070579fc45f08dd423585a8013b28ed333f66cfede834b

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.319411Z digest=sha256:2d059a49f11b72cced781a4bee7264983eb4b2bb13bd08a3bc5ddb9e6f3c5702

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.321831Z digest=sha256:a3048ef2c4f7dd2be67789efed153c5dbdd3ad04efb74595dc3e906afe2fdc58

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.324218Z digest=sha256:6f4fa7d3531d4e880516e06d6493603200ac1b847df5492845fd95652b48dd8d

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.326824Z digest=sha256:92563079f2f51444603f8fd151a1bf8a2f1f9fa2cfe5ae987cf74ab3d349b211

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.329193Z digest=sha256:036f45d6d40476142596e166f056eb968c26ac63a2ac4f1dd4989f4d4c8ba9f2

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T20:41:09.331480Z digest=sha256:05ee447f17fd6bb00879ea7be04886efdb4417e5e17459dd102068c0f94b0889

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.333992Z digest=sha256:b04dacdb12803b46c9bd2b419df93b88bd6d0047f5959978c2697786af882441

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.336851Z digest=sha256:f2c23c1dd433d8022ac6ce4523bbe3caf191a69843ea10e62f5fabdb78299374

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T20:41:09.339138Z digest=sha256:cd9396d44357cf1ffd7efbc092c2905d123a983cc858790f85a2a3095b739a28

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.341595Z digest=sha256:bef152056605b45f4336c3933ee219634f056a980ccc3226b0bc27aed7f07e43

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.343974Z digest=sha256:c33a4a09a9ad29a22cbd10ca0ecf9af4c982324a16ae02b92e1f6f232ee5c22d

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T20:41:09.346524Z digest=sha256:a768559a141a6b1b2e8f3c2e035230191ba6e3b3dcf41acfa39baeeeab60170a

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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unresolved
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:b12a323bda0115df7245f350e1162e93a545b5aa39135e4c2e181a02715989a9

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.351135Z digest=sha256:c04cf22644bb9c45e54e8da765f09cb4f1e8ef57270df77cc19ec98598ddaff7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.353580Z digest=sha256:988f2c55b3eb707170815cc228e40e91b26b3d3d623b64754c107321aa528817

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

Reference 60

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.356091Z digest=sha256:be2cf8771f55196d26370c5fefff0c38b547b718a264845b98f92a2fc682b2b5

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T20:41:09.358519Z digest=sha256:b69ca3f07bc9bc5ff6b572eb51987f56f5b8c26091c2ceead76dd164ae07a7a4

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.360796Z digest=sha256:5461bf093d2605ac07f98dd02ad750efa59ca455baba7abab4a30b98c23120cb

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.363326Z digest=sha256:f72dc56e285dde03ad3b8e70616256ce969989c2b770470128b2191d351383ce

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.365767Z digest=sha256:6063384a28c390de1e3b17d2770d7968c8c281e605a8313dd99a490ed850f40f

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=sha256:9bfbfdf90fc46b4127227c00dda9844fdb21591807664548b0ecebba1fe04573

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T20:41:09.370269Z digest=sha256:8f8c054bcfe52f4c442854922016bb15b25582568d184aef8e402866b9586ef1

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.372784Z digest=sha256:38546cd80660ddf040ce1dca51a9b124226780d872c1bff53a43e11db4eb27e6

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

Reference 68

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unresolved
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:b2a7b878dd4393653218cfc79d11cbf63da6f87c20a305dafdef93f2af625cb3

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

Reference 69

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.377491Z digest=sha256:32626a35c7a31f14391bea6cd37616307dbb5bb23e4bc0abb8f0e62c1a1eebd0

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.379883Z digest=sha256:e550e25741edd0bf06d539c4ba949a4626e37746d785ac2bb26e153fb6ada987

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T20:41:09.382236Z digest=sha256:f44efc664c4513a7ace6a4f5deb41743a7503d1cb3dd7622b354fda3a2e3ce21

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=sha256:75fe4bcbc883b8e24881517800526859c6e537375948e28ff88b85999e20b448

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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unresolved
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:ca8b631cbdd4d0e890bc9c143635bc5bbd9c712f2cc58c2715067cc1369fdd71

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

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source=arxiv_source observed=2026-08-11T20:41:09.389992Z digest=sha256:d282a279f461d097081142bbe547c003308d1a9e9eebd5e5b1eea91ce761a4ee

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=sha256:5868d534d5e4837ad5ae554c9312db50884e12924ff89f799e8614a0a13a1506

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T20:41:09.395468Z digest=sha256:a8877fe1ba55020bfbc26c3fed73ce67f4e0b324514a24d2cd905608ff4d88dc

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:c98dd46e5626bfdf9e01a64b0e59f2c1333995ec829f3707c2ac2bb304e07377

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T20:41:09.400572Z digest=sha256:d9ce45605b3d1c82855a7d5c12c5c3d8475ab0775ac3c3ff01b6a1ad588ba11b

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=sha256:70428b7e153132de81ad0294c47719a2e163f8c55671bfc4753948910e80b4bd

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T20:41:09.405545Z digest=sha256:378188e78f4ee6b3ae459832d97fb3dab24043e7a5a496aff1266e134f9cc298

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:bb2f20a7ff7067dc086a3c08e8e7fd3ce5bebcbed549497bd334d01765288c97

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.410467Z digest=sha256:8dd9ca2eaff524cb9af402a9f9d0344e31d88d99c6269d2282bd7fd6eba59782

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

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T20:41:09.412927Z digest=sha256:1c25099249fb407abf524d74a38f41f44f7ae67a7a734dbc5622e629fc877b20

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T20:41:09.415409Z digest=sha256:e059fcd6fa617fd728dc5c19344987362200d3720dea1e0ff8397c1f5d19c0c1

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:ecd657e2920fb161f0f1c7675f8389bc4b2ea1f82e621da94f915e8f516d2b85

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
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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:d6c9960d34c6b43bfa11e21f67cbfa4f4f02f8cb24539304a743cdb6b5b6e8ea

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=sha256:933db92bfeac7f2cff587577cd78973a8c8c86761103a69bc98f9c7fa23739b2

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:d8f9f98d501800d575f8cd7e39b3dcc191974eb67a3214eb8ecc58c98fdbaab9

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

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source=arxiv_source observed=2026-08-11T20:41:09.427780Z digest=sha256:66aadb2a0089ab76ec338426483770bc3a6a3f596fbf23798233346119467022

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=sha256:317243bf9d58675845ba914c109e9516e0477a05affaa54bab7acdf8c44e1d44

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T20:41:09.433011Z digest=sha256:5e68cd3771872eec9777ac54e5fdcc25c09f76686d3b091e32551629d7e56660

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:ef00b7e004b32c590efb42b1e4129c1a7a8cd03a79941aebee3ef7d3f46141e4

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T20:41:09.438044Z digest=sha256:16f49363d20ca5c5a817f3ba42dfa7829a98424f22350f8489723d0404c8d062

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
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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:b45be3bee8c844b1c3c5626ce2fdc09f515765e6c3c28ed1e5dbfa3566d3528d

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:c8146a34af328f6c30a8463fae068532fa7351dedbf3d004e28e7c5104f73d39

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=sha256:61475917bda2ed67a436f36d4a081d13b04076c846694b3d32a9ed39f45bdefd

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=sha256:8158b714795fbd7c2b10ecc21e59ed8fbce4094218ebbed64dbb517cb9b7fdf0

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=sha256:2916ed5a3c627af9fa45f39a7158e8d0cfa5355f6200294455f5aabb91e83502

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T20:41:09.452897Z digest=sha256:0285806c22b889eac094801747cc38c3d7f619f50d4991f14f1ef79fe472a5a0

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

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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=sha256:11b2c9af1e7d91d5329c61c99e811c696f5f1bb353ea37b35a7ac9adec904ee9

Pith citing papers

No inbound Pith citation observations are available.