Pith. sign in

Paper Citation Record · LEDGER

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

As of 13 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

Typed states for the displayed outbound observations.

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

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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

  • verified exact16
  • verified fuzzy0
  • unresolved82
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.193935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.193935Z digest=sha256:fba3e48e4f29fc40c0b9aa100444939029729196fd896d8ef172312a21352b09

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.205230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.205230Z digest=sha256:98e7e8ce3d19309662f8d1032c661138b08b2f0f320a499f35b9221425aa6746

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.208215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.208215Z digest=sha256:e598614462d495ccca29f4174490143f6f7fa0783a998fab599cfdabaf98aef4

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.211097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.211097Z digest=sha256:ac32469d087354a5f6114a842ed3b2686caee78510b2a19be7634e10b2c0a81c

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.213825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.213825Z digest=sha256:71933861d991f86c910387ff8bd54000a9022d0234d68f0ff45e95388eea6fca

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.216534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.216534Z digest=sha256:bf6d7422b0609efc0b3c60259785e7753069d72e95084063982d1f88db44efe9

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.219513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.219513Z digest=sha256:81ee180ba83fb48812d09b886f8d1fdadfd8da3fef5c73ac89ebdb80daea0046

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.222108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.222108Z digest=sha256:38bdbb3c57508ade07de27b4301f43637be144e1d246806504b890235f197a1d

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.224526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.224526Z digest=sha256:5f3c1d6e33f80bfaec4488d930a65d4626a0b5e8e712f6a1bdbd57263e09cec3

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.227191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.227191Z digest=sha256:82d439c1c475d74114e3c9fd80acb27b230d4f5c27f5907ccc99f10118c487d7

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

Resolution
verified exact
doi, observed 2026-08-11T20:43:33.590639Z

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=2026-08-11T20:41:09.230243Z digest=sha256:8d09d0f4eea283b517ea08923a30c6d8a9814dbce898f926d11224a236d825a4

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.233063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.233063Z digest=sha256:50b548746c91726c1cd5773a0c35dab4a546109e05e32b15dfa93d6200196582

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

Resolution
verified exact
doi, observed 2026-08-11T20:43:33.572203Z

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=2026-08-11T20:41:09.236452Z digest=sha256:e9cf9dc9a559ce6d0082d35544fdc273224077cb9dfeb95781b83566d00e5f37

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.239222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.239222Z digest=sha256:34e74d790a02b72a7b0baef4850d7f128a05daee1e0564cf77b435f9ca35fa4c

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.242722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.242722Z digest=sha256:e207a706271c37e3fa03adb861e3168112e87979ea5af0dff68d9b32869dedaa

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.245802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.245802Z digest=sha256:1527aba854c082a456087cc636406dc4ee3666b8aad13e50c23778760e790e64

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.248716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.248716Z digest=sha256:746f963d371f6cbf786f39008eeec12ed25631b789776259b08df20da9b158b9

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.251319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.251319Z digest=sha256:494c90276dd5e8562256db429e11b3979ddee65ed9c4102ecc795e0f4a55a02c

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.254091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.254091Z digest=sha256:965a67535fbfcb91540e0704c9bca8fcf09a7b24e661892fc06ffd64c390c8f3

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.256787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.256787Z digest=sha256:38265f1e2173c1ed50a76cd38b3d8086b03ae2b7a6ef5cf5461f07f4136c6a97

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.259452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.259452Z digest=sha256:9585b863f1f19295cf838909473e0f987441b8661a062cbe78f8f89b8db1ada2

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.261834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.261834Z digest=sha256:e7315648276c2a019fee54e4bc50d9ab433cee554c29ee9f97d38644b0a58202

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.264289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.264289Z digest=sha256:7c3d069544f050fff6a5649c549a5791db5ae25c8c253d0c311baab306accf8b

Observation bc060df8-557d-455b-a627-b3d4e4827259 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.266893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.266893Z digest=sha256:eb0899364a73f067ec0820f93f752db9277ee7b93918b02f914769c57fe4062c

Observation 0c843325-0116-41d0-b754-b239bdb3167e · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.269504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.269504Z digest=sha256:42153f03a2c4dfc2442528ed5adb8b7d92a9a999c9b407ffaf11a9d6cad2a18c

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.271819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.271819Z digest=sha256:3c89e7fe25da6ad8fd408893613d70ec29a94b432eaaad6ed00dcb53ca564da1

Observation 3fbefe44-8b0f-48cf-b291-d5788c7a2908 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.274352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.274352Z digest=sha256:98fbec5ed693f351c79c0bec6601cfe9ad2cfc1f6673a01c1809622a1f4d464d

Observation 9d90067d-d58e-4513-b700-84bec2d27767 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.277067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.277067Z digest=sha256:e4efc6ed1a71df0a0da6344cf280e5d2166e9c5f3d68927e13beded00a30fce4

Observation 0b3aa161-190d-4aef-84a9-285c2fd5ece3 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.279624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.279624Z digest=sha256:65d8e38b7c0a7ef07b08b0b4aa6cc871470a93f19973522701161ccda5a46870

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.282046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.282046Z digest=sha256:56b1dcaca4f4c8e6fbe81ef0a3964d439f42272ba74f182ef7118bd817505bc7

Observation 0fe8f57f-82d9-4550-acf0-b2f61bccde15 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.284566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.284566Z digest=sha256:396c599bfa21c82447b317cdf544bf196138144cbaf9d180bdc3d95a6edf64f1

Observation 41a50461-1b56-4a41-bef7-804543fa53df · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.287209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.287209Z digest=sha256:47cb6075544a6619c293bfb630e82ccf781d953dfafa221d87d547d5fd0eaa8b

Observation 96977832-0257-4ae9-b585-c151472abcde · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.289699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.289699Z digest=sha256:e7589446100af1ff4fcf309b40c2bb638ae703c4612685b74b8fb39ed30ce6e9

Observation cbf39cc4-eaf3-424f-a11c-5058405e8251 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.292097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.292097Z digest=sha256:5457c0748cf49c1ccbc9fe97bc9e59783c1a4abdadaf4e163d32d20bd061f44d

Observation dacfefa3-f4ab-4682-a4cd-4488bbd38619 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-11T20:41:09.294592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.294592Z digest=sha256:3fb9190d6ddd182127530cfa4f7db900fb71fb7ecdc72c94e4a7c357056cf731

Observation 5f9c3f19-0704-4a87-b393-34b79f438dfd · outbound

This paper cites 2024, TensorFlow, v2.17.0, Zenodo, 10.5281/zenodo.12726004.

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

Resolution
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=sha256:2a5f56424334b550a4cd064dc979d472fe0ceeff416a10dae7f9b85df0508e70

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

Resolution
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=sha256:13a0fb1c38982c3a4709f48863f23dd5ffed3c316f6098b17386bb64c294b923

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=sha256:42c1402c92b18e628047fc4cc67f94ee6cc229d135a800647a2d84fe7fa4f7d8

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.304757Z digest=sha256:f67b58384132394f1c9e9401b041993c14f9881f8e22ba17904776907b153b20

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.307203Z digest=sha256:f5f6bbba79b0a31217393587005fe4e48098350d4693beea2084c3e8e52a3112

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.309709Z digest=sha256:3752214fd1701c445347699b75b9c527d5a43ab0a862e3268a93d2641f768068

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

Resolution
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:dd9d7e46edeac96361a0021538635b586062d0882119fa7f998ac59579c064a9

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

Resolution
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:f5e541e0d30b4bf068b3011ed59d0cef559deef0593502672a4f3c67b2615783

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:ebcc2fbb466630f737cfd0263b6b37eb5c8b9fcb4b8af8ee92a5008fc39112f7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.319411Z digest=sha256:688e47bf895ea9566c879274f4f930c7e0184cd2212631081ff8c56fa326bccd

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.321831Z digest=sha256:7d8bf66466011ab3a55d0eb00f2bf001ad830332ca80069c1e057be6c183febf

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

Resolution
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:a23f7e502167476ed63cd0dd9bbd366abed0a53f392f892bbdcd74b4dd1aba96

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

Resolution
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=sha256:0d9e35f54e0b90a847b60b02c80bcc9ad6523beb64c188b7a7d886c51eed0d22

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

Resolution
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=sha256:00e80da8dd26cc7ea7b6675f63fe2347c2aa6998a83e38d2ab7bdcdf679dd53e

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=sha256:6f1005231a2491f54283c35a0c692fd8a358fdd196e0b98c85de80121a80a6b5

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:b20b02d9fc215220790083f03e70d5e5854fb772e82049d5c68d2f7841957aa5

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

Resolution
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:bbc2a4fc66061288093bd511eec1b353d2e7d93c0f5c04879d2e3b891a88133e

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

Resolution
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=sha256:70bcf12d96e835394c5887f5289a660a5e98a73a626fbee6bfac0b9088391fc8

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

Resolution
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=sha256:4d0f36555410325ca722d6d843ebb457396529a9dd6b5d74fbe5068d035cfd1b

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=sha256:3cf2ae0f94eb9e8e21b8c9efdb334f41e48be92993ac2e3a204685c7b622c159

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:cdf105b4165f5218d2e53bdb1a0d922dd806e2de0e8ee7fc1046ce3c8c6fd74e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.348844Z digest=sha256:c0bc4e4f450cceac5a0753ccfbbe482bec8566f131f36f77272fa7d41ea970bb

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.351135Z digest=sha256:64af8e0d35250c662129e311ee9944cc4b31d2defcd59c0a485ed330a99594ad

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=sha256:80aa0244ee1554556aab77d7a374c4231991c2b1b326a6b8bcb025ea7b4ea975

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

Resolution
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=sha256:76fcfc4871650cbff676b6d34f15019192d89a2d0b1404191c22ba4c3d8d4437

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=sha256:2582526167e4ca2d962a7a3964758ea750de51c55eae18f82388ec7e1fb39414

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.360796Z digest=sha256:de03abbe5e3f36dc90d8da2682db82b990f9c70ebef6e9b20590999bfac5e0fe

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.363326Z digest=sha256:76d58da51c64a34d49dae20102c12339b81ffd8a971cc32e7b8cdd6172da7e48

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

Resolution
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=sha256:09294272225a6607ca95b6255ff0795920d5dabd5c77a72be6c58e233f508a03

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.368112Z digest=sha256:245e819d5cee5ff08255de2524580d5ae30752cf8f075e828c940727ca34805a

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=sha256:89dd830415db87b200fa43074251bd6ae141691a3c138555c471efacb1f77181

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.372784Z digest=sha256:bf1c8cfc9ca4f7f2e975943ab95ab2c6a44ffd720400a53575b29503680c9f03

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.375120Z digest=sha256:2ed267ebf54598bac71ed9abd64dfcb265b66bedbc0b6eb561eb9bbcfd218d92

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.377491Z digest=sha256:3790b43370ac072024ecb12eb725cb5bf2d1d76fe72c7abd2fe69fc9b1c1fe94

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.379883Z digest=sha256:1f5a0042306552c5540ec55aeec18048a37d0eccb5053e3398b5d5ae7102d622

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:e0d4af8ac5300dca6d33c3387f7341aabab713cd2760e384731ade132b42bb9c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.384971Z digest=sha256:2efa9dd3be29a8af2ab2aa468a52a29aecea03335ba108645b6ee134cbfefd12

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.387474Z digest=sha256:bd2d772c8382f8f787e761509df105b65efd0a7fb7203d2f5614aff48b237954

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

Resolution
unresolved
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=sha256:3698246f3708bd80c98b0ab365820218c9eb4107cb8bc189f10b38a558e9f6cf

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.392937Z digest=sha256:694699ffa5ed3d1cea333158083a63af9a709a464a471053a79ae5ab3e7b80af

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=sha256:1169c405484b8e03749b85010d521c3fb412ea401ef89ce65b8b09761db0f0bb

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.397960Z digest=sha256:482a7d688dd61926e2cefd840069e053668492a7fa1cdc66791dfff99c0aa43a

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=sha256:24b6696242e2d6d6eec32102765bcce93b43f2dcfb6fcfc0a7427ecf81552119

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.402994Z digest=sha256:bc97250ae07b21808a16e89611d19ea66f07ae1ed89036f92629255f93b246ba

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:d4c259aac81f2e4a79289edbe84457d14b20a72226a9f404f65ad3a2ccd67ff9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.408002Z digest=sha256:610bcc2bf148515e7db55357a5549dd9a51ad31bca2cb342244f6d761c51a347

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

Resolution
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=sha256:79285cfa0fb1adb204cf8ceeb75c8bd577aa4439450d4cd86d95b8364aa48fdb

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.412927Z digest=sha256:de58968fe22be9a791bc185e597b74452ec1a10ea9cdf7545ccff009a7d220de

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=sha256:3fc13222cf422925316e5d626f83caf69b68ab7f5471a408abfdad5ad3011a20

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.417664Z digest=sha256:a1c7953c4a39e953197427e4f71ee21262f477349b064a412a206c833c946aa1

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.420198Z digest=sha256:c7815336fc24c9b20ba708970fe8738a4fcf3058940800e4cca4c7264c3a71a9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.422815Z digest=sha256:abc2a173dda3a280da9e2baa5c78885d4146f8c92f88cd90c945b9c1ec2a0ad0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:41:09.425277Z digest=sha256:f4507ca5b1088ee5b06d96daff0e48525496b02e05c2505c46517667027a08bd

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

Resolution
unresolved
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=sha256:6e9e687d4a544d607c8f8153b63fbf838810b3de8e128c9c0f46d22e466290bf

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:cd3e1d553acf890ffa5bba5d84c471055c6ec94cd64e350e99c849f9bd65deef

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=sha256:490bf7f860af291d644f2faf0458cfc172360d89009c31f3266f0123c3ea569f

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

Resolution
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=sha256:1c931cc4f3bc459364bb633144392aa4e2978b5f61e51e955b196948982e7fef

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

Resolution
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=sha256:7aafa36b701457fba911e338c987e5da1e1803d899caa5a6811e91da4c794240

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=sha256:7654b8de145c54d024f4b2bb2aa39ee3b081d9d07625551a3b16e563cd32253e

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

Resolution
unresolved
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=sha256:672d3d26e2d2192a9025e7e725860fd30637e1e9609ed939254f527e2ebf1442

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=sha256:763e688708e622fb4d3b2390cddd8e18103fb4ffdeb7d69d3161813ba81ebd95

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=sha256:8d1bb78f02ca88bb5e252a7cfe39c1e6839174d3706f6ffcf2144bbfbc626fcf

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=sha256:428ee42327d5f202c2f7834a97632e148758d98361b1392fd34694f0d54f0e0a

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=sha256:0efcd9cba8d8160d527ffce7223f3764e53ae5ce7510613cadbd7655e3940d9b

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=sha256:51a58721e881fc6c66bbb032c7cec4b60fa9a9811200427b83ec2a3ea7eda63d

Pith citing papers

No inbound Pith citation observations are available.