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

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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.448441Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.453785Z

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

This paper cites ÅefC h) 9BRQK w<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 w<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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.458930Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.471802Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.476815Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.481962Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.486892Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.491211Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.496153Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.500716Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.505231Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.509920Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.514579Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.519158Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.523911Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.528760Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.533377Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.537970Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.542555Z

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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

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T19:34:26.987035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.551315Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.555931Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.560590Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.565390Z

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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

Resolution: verified exact; doi, observed 2026-08-09T19:34:26.032931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.574557Z

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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

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T19:34:26.782098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.584250Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.589079Z

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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

Resolution: verified exact; 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 2026-08-14T06:32:32.682623+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.598056Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.602619Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-09T19:34:25.607189Z

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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

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

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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

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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

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

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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

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

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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

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

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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

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

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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

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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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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

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

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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

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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

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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

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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

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

Source-reported events for the cited work

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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

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

Source-reported events for the cited work

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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

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

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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

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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

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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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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.

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.

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers