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Paper Citation Record · LEDGER

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events

As of 12 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2502.00297.

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

pith.paper-citation-record.v1
2502.00297 v2

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measured 56 of 56 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-09T19:34:25.715925Z

measured 56 of 56 standing notices

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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.

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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

56 of 56 outbound references displayed

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  • verified fuzzy1
  • unresolved48
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Outbound references

Observation bcfbed9c-6e3a-436e-9ffb-fd04ceb64ea1 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events , " * write output.state after.block = add.period write newline

Reference 1

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source=arxiv_source observed=2026-08-09T19:34:25.448441Z digest=sha256:5d7f380993c1383e4dbd1109ab01885f51c40b6c6bfc6b5e64f56c8574e0cdd8

Observation 3caa548e-9ff9-4caf-8c5b-c681578af09b · outbound

This paper cites write newline.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events write newline

Reference 2

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source=arxiv_source observed=2026-08-09T19:34:25.453785Z digest=sha256:e8be6b21ae3bbe578bef01b87507438e32745f3f43b7d43b4f72a7e22aa919c5

Observation 1ae7b515-58ea-49bc-be3e-98767ef30c2d · outbound

This paper cites ÅefC h) 9BRQK šw<bK MA U?#'k=pHs'Uhfn Mܺ--v B = &Q 䨊Uu*6 8 7eF,Gڣ U 2g/lHQ!&2a uY !8̘,> 4o^ Ѐ u ;5ru睕SܙDnmfu 5 Os UԻވxp&:<'x7LOD b` -mX)ɒ _mKC À.F C2 KBI Ip b UR/`KNv`O 6.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events ÅefC h) 9BRQK šw<bK MA U?#'k=pHs'Uhfn Mܺ--v B = &Q 䨊Uu*6 8 7eF,Gڣ U 2g/lHQ!&2a uY !8̘,> 4o^ Ѐ u ;5ru睕SܙDnmfu 5 Os UԻވxp&:<'x7LOD b` -mX)ɒ _mKC À.F C2 KBI Ip b UR/`KNv`O 6

Reference 3

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source=arxiv_source observed=2026-08-09T19:34:25.458930Z digest=sha256:7610c8f8442d34b543bc179451a81c36773d71bccbb923588685af89d6776b88

Observation 5ab76161-a28e-4594-b178-d5f2a98bafd0 · outbound

This paper cites P., Abbott , R., et al.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events P., Abbott , R., et al

Reference 4

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source=arxiv_source observed=2026-08-09T19:34:25.471802Z digest=sha256:9be9ce89275d3afac38f66bbb35096b25f6762690ae8041d561664ad20343037

Observation d363091b-6583-48f4-939b-eefb91136c77 · outbound

This paper cites 2015, TensorFlow : Large-Scale Machine Learning on Heterogeneous Systems.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2015, TensorFlow : Large-Scale Machine Learning on Heterogeneous Systems

Reference 5

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source=arxiv_source observed=2026-08-09T19:34:25.476815Z digest=sha256:b8d5f4d5fedefd3a6a25ef9bcf60f8669a62340a298e5a4e2e702a4f8978c61a

Observation 2417e85f-c718-4f99-8ff0-863fcbc1be68 · outbound

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

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events P., Abbott , R., Abbott , T

Reference 6

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source=arxiv_source observed=2026-08-09T19:34:25.481962Z digest=sha256:eda8bd634e4a9f356eff2ae45e397a6d89dd7dff74e2926f1a8fc1ca811d7b65

Observation a70fdb17-d708-480a-b4a4-3a5391452f2a · outbound

This paper cites 2017 b , , 848, L12, 10.3847/2041-8213/aa91c9.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2017 b , , 848, L12, 10.3847/2041-8213/aa91c9

Reference 7

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source=arxiv_source observed=2026-08-09T19:34:25.486892Z digest=sha256:a9cbfa5f0532b45484000e386302c8ca6b8438ac22c1f55a670a907a5207b22e

Observation cbda04ae-c1ab-4e19-8111-9f52b0eca714 · outbound

This paper cites 2017 c , , 848, L13, 10.3847/2041-8213/aa920c.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2017 c , , 848, L13, 10.3847/2041-8213/aa920c

Reference 8

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source=arxiv_source observed=2026-08-09T19:34:25.491211Z digest=sha256:d91f557a2eab0e8af7b967bea46c8327e424d8a0c6c27cd7995a0fc9741da2d7

Observation 53588cf0-5432-4b08-be97-5d23e129b67e · outbound

This paper cites 2017 d , , 551, 85, 10.1038/nature24471.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2017 d , , 551, 85, 10.1038/nature24471

Reference 9

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source=arxiv_source observed=2026-08-09T19:34:25.496153Z digest=sha256:b54b4d60663bbd4cd7f37f23cc8caade2a45a15c7eab72ec372e4f02ba58dc9f

Observation a49d9db4-24ea-406a-869a-36bcb6a19a40 · outbound

This paper cites 2018, Classical and Quantum Gravity, 35, 065010, 10.1088/1361-6382/aaaafa.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2018, Classical and Quantum Gravity, 35, 065010, 10.1088/1361-6382/aaaafa

Reference 10

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source=arxiv_source observed=2026-08-09T19:34:25.500716Z digest=sha256:ce849e7d91a55a3cd6c36e9119ac1cc88b22d15b740abefcb0bff3f6197f4001

Observation 2af0ff6d-316b-46d4-9f53-0d447a78eeeb · outbound

This paper cites 2019, Physical Review X, 9, 031040, 10.1103/PhysRevX.9.031040.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2019, Physical Review X, 9, 031040, 10.1103/PhysRevX.9.031040

Reference 11

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source=arxiv_source observed=2026-08-09T19:34:25.505231Z digest=sha256:8d6c66caab4f5eb40810fb2c3446bc3c0594c57720248c75bf7a2e1881e61b5d

Observation 44d92b6e-c62b-43bf-a9af-615886b2f023 · outbound

This paper cites 2020, Classical and Quantum Gravity, 37, 055002, 10.1088/1361-6382/ab685e.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2020, Classical and Quantum Gravity, 37, 055002, 10.1088/1361-6382/ab685e

Reference 12

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source=arxiv_source observed=2026-08-09T19:34:25.509920Z digest=sha256:626146d86382eacfdbe342646250153d4a30ce7616c2a942bdf85830e22bc987

Observation 8a4c9cd3-c534-40cf-a7ab-4c9bdf153ac4 · outbound

This paper cites D., Acernese , F., et al.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events D., Acernese , F., et al

Reference 13

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source=arxiv_source observed=2026-08-09T19:34:25.514579Z digest=sha256:4529ed881a5411eb8c72345675f52013f389625f947a5b1b75a0329777be2424

Observation 32c117a7-3889-43f3-b668-f22016ee6664 · outbound

This paper cites 2021 b , GWTC-3 Candidate Data Release, Zenodo, 10.5281/zenodo.5546665.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2021 b , GWTC-3 Candidate Data Release, Zenodo, 10.5281/zenodo.5546665

Reference 14

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source=arxiv_source observed=2026-08-09T19:34:25.519158Z digest=sha256:b891850471d9f266705421d1d8a7e6ef7d475b7635455b16794f3043acaa1287

Observation 38aa6a6e-d723-4bfb-b005-78b10a9dc2f0 · outbound

This paper cites 2023 a , Physical Review X, 13, 041039, 10.1103/PhysRevX.13.041039.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2023 a , Physical Review X, 13, 041039, 10.1103/PhysRevX.13.041039

Reference 15

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source=arxiv_source observed=2026-08-09T19:34:25.523911Z digest=sha256:37206c406a373a43ddc091543813268dbf7d799eaff0e7dc67fc66da22b80b0b

Observation 0c643918-eb4e-4a7e-9ea9-29d6bc920d1d · outbound

This paper cites 2023 b , Physical Review X, 13, 011048, 10.1103/PhysRevX.13.011048.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2023 b , Physical Review X, 13, 011048, 10.1103/PhysRevX.13.011048

Reference 16

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source=arxiv_source observed=2026-08-09T19:34:25.528760Z digest=sha256:db1fced5d8cb2c1eea08ff9d667807c4a552e26e7ad08f68887b45400028a059

Observation 3a327f71-3454-4477-bc04-f387375b57da · outbound

This paper cites 2024, , 109, 022001, 10.1103/PhysRevD.109.022001.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2024, , 109, 022001, 10.1103/PhysRevD.109.022001

Reference 17

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source=arxiv_source observed=2026-08-09T19:34:25.533377Z digest=sha256:f1bcb75c96adbfda5d5021e36cd2542bb578d34ac2686ab5f3d0b60bee509195

Observation 1098c441-6a86-4f51-804e-f9b5d040d5a7 · outbound

This paper cites C., Buffaz , E., Vieira , N., et al.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events C., Buffaz , E., Vieira , N., et al

Reference 18

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source=arxiv_source observed=2026-08-09T19:34:25.537970Z digest=sha256:272f9ff4625e80c2c9f457fd948f925c67f59793e1171a3fa6703c395dda3f7e

Observation 82338709-85b1-42b9-b31f-e214a51dd800 · outbound

This paper cites 2015, Classical and Quantum Gravity, 32, 024001, 10.1088/0264-9381/32/2/024001.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2015, Classical and Quantum Gravity, 32, 024001, 10.1088/0264-9381/32/2/024001

Reference 19

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source=arxiv_source observed=2026-08-09T19:34:25.542555Z digest=sha256:0ea1bb6adad661bf5e57a8e754e7d07e94a54c6ce2e7245fad166f87bfcd584b

Observation 3d979663-8bcd-4187-bf72-6f01b7d73376 · outbound

This paper cites an unresolved cited work.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events Unresolved cited work

Reference 20

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arxiv_id_nonexistent, observed 2026-08-09T19:34:26.987035Z

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source=arxiv_source observed=2026-08-09T19:34:25.547055Z digest=sha256:9b1e768e71009ff433829416ce07c7c3fb2440634a15f7f634a5890b22a0823e

Observation 07f73e6e-e726-415c-bb5a-d8aac7058135 · outbound

This paper cites 2021, Progress of Theoretical and Experimental Physics, 2021, 05A101, 10.1093/ptep/ptaa125.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2021, Progress of Theoretical and Experimental Physics, 2021, 05A101, 10.1093/ptep/ptaa125

Reference 21

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source=arxiv_source observed=2026-08-09T19:34:25.551315Z digest=sha256:9da3601ad9d0a4523823f485d6aa29c8ba176491ac0c6a5e83cf03af6289b118

Observation d0a1fd1c-42d7-45a8-93a8-af419a7803b7 · outbound

This paper cites 2021, Classical and Quantum Gravity, 38, 095004, 10.1088/1361-6382/abe913.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2021, Classical and Quantum Gravity, 38, 095004, 10.1088/1361-6382/abe913

Reference 22

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source=arxiv_source observed=2026-08-09T19:34:25.555931Z digest=sha256:4061ad2e0482e3f0a1ba2bb21b9b61147a44e9068fa4ce646601e767799f443e

Observation 26d7b9e4-f746-4fa1-863b-ac2fff9f6b9f · outbound

This paper cites S., Perego , A., Colpi , M., & Ghirlanda , G.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events S., Perego , A., Colpi , M., & Ghirlanda , G

Reference 23

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source=arxiv_source observed=2026-08-09T19:34:25.560590Z digest=sha256:aa3008193f97f107a058a431367a64d2eda2356300a92b2aec6204e66490b4e6

Observation 43a13f9b-3daa-4671-90a0-a2093af0d255 · outbound

This paper cites 2017, , 95, 044028, 10.1103/PhysRevD.95.044028.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2017, , 95, 044028, 10.1103/PhysRevD.95.044028

Reference 24

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source=arxiv_source observed=2026-08-09T19:34:25.565390Z digest=sha256:1ebd3c7d6caeea44dc0b9969f4c4da673b21c2f5a5641a5709f47c3501df7525

Observation 9425083f-a119-4eea-b984-66ba7805c8c4 · outbound

This paper cites S., Piranomonte , S., & Patricelli , B.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events S., Piranomonte , S., & Patricelli , B

Reference 25

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doi, observed 2026-08-09T19:34:26.032931Z

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source=arxiv_source observed=2026-08-09T19:34:25.569993Z digest=sha256:839cb34f140b2990fcbdfaa35675ccbd417ca4aa738d846d91db3fe57876afd7

Observation bb07c823-728f-408e-b1be-016f7b9508d5 · outbound

This paper cites 2020, , 904, L9, 10.3847/2041-8213/abc5b5.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2020, , 904, L9, 10.3847/2041-8213/abc5b5

Reference 26

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source=arxiv_source observed=2026-08-09T19:34:25.574557Z digest=sha256:3672991ef83c162ff21d9609c7c5dfe54ca6325588e4a19d781f4ffa881a17fa

Observation 11397035-69f7-457d-9bab-fbe6d912f9ff · outbound

This paper cites 2021, SoftwareX, 14, 100680, 10.1016/j.softx.2021.100680.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2021, SoftwareX, 14, 100680, 10.1016/j.softx.2021.100680

Reference 27

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arxiv_id_nonexistent, observed 2026-08-09T19:34:26.782098Z

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source=arxiv_source observed=2026-08-09T19:34:25.579228Z digest=sha256:42097f795dcc2825b554c697e0501629a1976e916b808c4089a73e5966df0096

Observation 34054f5e-8be7-4dfb-aa16-db58de4b354d · outbound

This paper cites L., McIver , J., Mahabal , A., et al.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events L., McIver , J., Mahabal , A., et al

Reference 28

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source=arxiv_source observed=2026-08-09T19:34:25.584250Z digest=sha256:d49d34a1cdfdf92bb6f4cec8060dce55d53f1655b2813184c1095d55b5dc8826

Observation 2b084ffb-b610-4ad1-966c-22e4bbfd49e7 · outbound

This paper cites S., Toivonen , A., Waratkar , G., et al.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events S., Toivonen , A., Waratkar , G., et al

Reference 29

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source=arxiv_source observed=2026-08-09T19:34:25.589079Z digest=sha256:2b71357c5a5b03934b3eae85249b6003e9646130d7528e6178b92688f141dd61

Observation 57fbb466-d1b3-43bc-afd4-e1f8c84ba2dc · outbound

This paper cites an unresolved cited work.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events Unresolved cited work

Reference 30

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arxiv_id_nonexistent, observed 2026-08-09T19:34:26.536677Z

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=2026-08-09T19:34:25.593553Z digest=sha256:fb55903e7e5e107775c0eca5a32db3d500d0acd5d84692ecc87e9449b7d0d540

Observation ca93196d-5ee9-4ee3-8250-07de0dccd5cd · outbound

This paper cites 2015, Keras, https://keras.io.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2015, Keras, https://keras.io

Reference 31

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source=arxiv_source observed=2026-08-09T19:34:25.598056Z digest=sha256:86dfa4b9ffbeafeb42b85c001e6a05158dddf5e6a1f2ea71eb44d7064c0e09ef

Observation 7064cc19-a2b9-43a7-bc56-79fb3f208c03 · outbound

This paper cites V., & Lundgren , A.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events V., & Lundgren , A

Reference 32

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source=arxiv_source observed=2026-08-09T19:34:25.602619Z digest=sha256:dc25ae94bcf71669f44dc146ed643cd6fd848959834e601fc39d7baf4986d81f

Observation 4be14a0c-9584-4236-9f59-cc828827b4a5 · outbound

This paper cites S., Dent , T., T \'a pai , M., et al.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events S., Dent , T., T \'a pai , M., et al

Reference 33

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source=arxiv_source observed=2026-08-09T19:34:25.607189Z digest=sha256:e2f28826767233c33294d9e588c26692e928d8999054511e3f1b6c74bade39c5

Observation 8796742b-129a-420b-b6bb-3c6f5a9ecc0d · outbound

This paper cites an unresolved cited work.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events Unresolved cited work

Reference 34

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no resolver link, observed 2026-08-09T19:34:25.612211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.612211Z digest=sha256:d0a800df7093ef2d697ecf2cdf17c280a213da27a497f299878e90d7d3289fba

Observation 7478db70-a9dc-4f7e-92f3-a374198449f3 · outbound

This paper cites M., et al.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events M., et al

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-09T19:34:25.616764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.616764Z digest=sha256:b5d5f6264df8232682b49f50c907cd9fec30f38e221bc8be732d2ec3c329b351

Observation 35452503-24bd-4a1f-b079-99120b99c8bc · outbound

This paper cites 2022, , 106, 042006, 10.1103/PhysRevD.106.042006.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2022, , 106, 042006, 10.1103/PhysRevD.106.042006

Reference 36

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unresolved
no resolver link, observed 2026-08-09T19:34:25.621895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.621895Z digest=sha256:8278f94e9c68e32bd3cf93fb2cab5cfc9e511823a9bfe2b4e136578f4e8ca7b0

Observation f9d12503-34b5-4c41-9e54-b1ca83457651 · outbound

This paper cites M., Tyson , J.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events M., Tyson , J

Reference 37

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unresolved
no resolver link, observed 2026-08-09T19:34:25.626638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.626638Z digest=sha256:c5c770c732686c5e6559f499198e86ce1d87f2979505aae30af74ce922561dd1

Observation 398a4a33-9d93-4300-81db-0f10f93143ed · outbound

This paper cites Adam: A Method for Stochastic Optimization.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events Adam: A Method for Stochastic Optimization

Reference 38

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unresolved
no resolver link, observed 2026-08-09T19:34:25.631374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.631374Z digest=sha256:2d86febaa02143f60b478a7a3f2a149e046e71139cc515700cd9caf31c746288

Observation 30e7a126-a325-4cb0-824a-a6c0a88c3aaf · outbound

This paper cites an unresolved cited work.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events Unresolved cited work

Reference 39

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unresolved
no resolver link, observed 2026-08-09T19:34:25.636435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.636435Z digest=sha256:8edf0df562ba541794ae20edb4e0f8112c2267ff82cdc8523d2a2256a03d19bb

Observation f89dc3a3-804a-4fc8-aa79-6e362c0f2e7f · outbound

This paper cites 2018, LVK A lgorithm L ibrary - LALS uite, Free software (GPL), 10.7935/GT1W-FZ16.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2018, LVK A lgorithm L ibrary - LALS uite, Free software (GPL), 10.7935/GT1W-FZ16

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-09T19:34:25.641078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.641078Z digest=sha256:cfd55cbd8f806aee5d258c400f9418b6298574d5436995f9308def9d78097c28

Observation 557e4ae5-9d55-40ea-bbb4-72767c101716 · outbound

This paper cites an unresolved cited work.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events Unresolved cited work

Reference 41

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T19:34:26.484190Z

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=2026-08-09T19:34:25.645519Z digest=sha256:dbf000eb638f370e4622c22900ce21d65002c3e5dd7f2808217c80b30c816d1e

Observation 11a65000-4042-48c9-b665-573cc980505e · outbound

This paper cites 2024, GRB Coordinates Network, 36812, 1.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2024, GRB Coordinates Network, 36812, 1

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T19:34:27.002248Z

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=2026-08-09T19:34:25.649893Z digest=sha256:7c76b5badb82fa528b67f5681f8b5e0697bcc901dbe00bab35b08a895ffc3bca

Observation 09fb47c7-317c-4321-9ea3-80d7be23dc43 · outbound

This paper cites K., et al.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events K., et al

Reference 43

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unresolved
no resolver link, observed 2026-08-09T19:34:25.654078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.654078Z digest=sha256:5e2d11ad6a98d04e86e49e7b7db13afb3ac66e7ceefd308a3db4cd618f67c5b5

Observation 9f592dcb-a6b9-40de-b33e-336a106d632f · outbound

This paper cites P., et al.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events P., et al

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-09T19:34:25.658975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.658975Z digest=sha256:031c93bede0c49f454dc84435b4e9f7bc9a0d465f1726ce442ffd741815e0055

Observation 6257966e-60de-421b-b227-4612a4b9e9d2 · outbound

This paper cites 2021, , 161, 107, 10.3847/1538-3881/abd703.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2021, , 161, 107, 10.3847/1538-3881/abd703

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T19:34:25.663410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.663410Z digest=sha256:a059d0ff6b3dafb93545b5190971e34755cbe3556bf437fc95b9cddae0bfe2a9

Observation ba17e9e6-35f1-4012-b78d-05c7ebddfbb8 · outbound

This paper cites an unresolved cited work.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-09T19:34:25.667984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.667984Z digest=sha256:c9dbf4427006d94059abda9b629bd5dcf6129dfa1fc2889fd03c3a3d60550b5e

Observation 7427c119-3eaa-4ef8-9925-2b848988da5c · outbound

This paper cites K., Kela , A., Arun , K.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events K., Kela , A., Arun , K

Reference 47

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unresolved
no resolver link, observed 2026-08-09T19:34:25.672565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.672565Z digest=sha256:c8112aee227b80ed9e1b7c0a880736986448ebb35c723b7cfb326a807c8619cb

Observation 408b8a82-220f-4aad-bd81-5270f32f8f52 · outbound

This paper cites InterpretML: A Unified Framework for Machine Learning Interpretability.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events InterpretML: A Unified Framework for Machine Learning Interpretability

Reference 48

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unresolved
no resolver link, observed 2026-08-09T19:34:25.677263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.677263Z digest=sha256:a18d3796bdd9c25513d75cd8f3fdd3bd92a98e9833912622439121e477b00504

Observation 914d6783-0365-43d1-a451-7beac43d20e3 · outbound

This paper cites A., et al.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events A., et al

Reference 49

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unresolved
no resolver link, observed 2026-08-09T19:34:25.682133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.682133Z digest=sha256:d2499f713ca6a545a1617e3e2011a5acba6989be534d43b6cf46d4b220ee8f28

Observation 8160be57-4948-4278-b3c3-b84b5346ff56 · outbound

This paper cites 2022, , 106, 104017, 10.1103/PhysRevD.106.104017.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2022, , 106, 104017, 10.1103/PhysRevD.106.104017

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T19:34:25.686754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.686754Z digest=sha256:db08431def7fcebb5e8a3ce78f17d10134331c2b7f3bc6fc7ca0e41df3044fd5

Observation 8afc718f-1640-4e1d-928a-9686d3009336 · outbound

This paper cites 2018, Classical and Quantum Gravity, 35, 155017, 10.1088/1361-6382/aacf18.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events 2018, Classical and Quantum Gravity, 35, 155017, 10.1088/1361-6382/aacf18

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-09T19:34:25.691555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.691555Z digest=sha256:634338d4d3abade9906fa476823a31a04e91efe9afbf930c4b5821ce89977cbd

Observation c1e92982-38f2-47c8-9ed9-bb069a8aaa05 · outbound

This paper cites L., Haggard , D., et al.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events L., Haggard , D., et al

Reference 52

Resolution
verified exact
doi, observed 2026-08-09T19:34:25.808470Z

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=2026-08-09T19:34:25.696470Z digest=sha256:7ced769e69bc1bc5ca22dab7b9a088a947e52b030b4a1b0a90171bd3488a526e

Observation 3558d6a0-fa02-4ef4-b04c-353b015c5ca7 · outbound

This paper cites L., Haggard, D., et al.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events L., Haggard, D., et al

Reference 53

Resolution
verified exact
doi, observed 2026-08-09T19:34:25.793241Z

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=2026-08-09T19:34:25.701681Z digest=sha256:0277bfd4e1951faadbeb7a217c0bb38df33941387a34837ed246e47797e4a6ed

Observation 3ae7038f-73f6-4025-8969-7fc1df79ef79 · outbound

This paper cites P., & Price , L.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events P., & Price , L

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-09T19:34:25.706439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.706439Z digest=sha256:54e995040bb97cf160b839c9f9539ea44e239e65414bc971be0face138c33059

Observation d3ba3a3c-0845-4a3d-b194-40651f2735bb · outbound

This paper cites The anti-aligned spin of GW191109: glitch mitigation and its implications.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events The anti-aligned spin of GW191109: glitch mitigation and its implications

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-09T19:34:25.711080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.711080Z digest=sha256:53f6dd0588ab9aa6f5a8855ef65e23a81f68550e62c4d18f37e528fbe1145129

Observation e1ad22c1-5703-4617-aa2e-b6513887e4ed · outbound

This paper cites J., Haggard , D., et al.

GWSkyNet-Multi II: an updated machine learning model for rapid classification of gravitational-wave events J., Haggard , D., et al

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-09T19:34:25.715925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:25.715925Z digest=sha256:5788ea732a19c53eece4d3eea0c4b4f249e93e7588eae4794b1ddbfbf316408d

Pith citing papers

No inbound Pith citation observations are available.