Paper Citation Record · LEDGER

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design

As of 22 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.06519.

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

pith.paper-citation-record.v1
2505.06519 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:45:10.693361Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

34 of 34 outbound references displayed

verified exact10
verified fuzzy5
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9a67f0c4-eb36-4d9b-8d8c-ce7724717140 · outbound

This paper cites In: Guyon, I.e.a.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design In: Guyon, I.e.a

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:11.626054Z

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Observation 011e4825-3d33-4e46-90da-3ce1814fdcf3 · outbound

This paper cites Journal of Rheology69(2), 183–199 (2025) https://doi.org/ 10.1122/8.0000930.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Journal of Rheology69(2), 183–199 (2025) https://doi.org/ 10.1122/8.0000930

Reference 2

Resolution: verified exact; doi, observed 2026-08-15T22:45:10.914487Z

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Observation 8cd35051-3589-46f5-98c2-b8cca6ddc861 · outbound

This paper cites Computatioanl Materials Science256, 113931 (2025) https://doi.org/10.1016/j.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Computatioanl Materials Science256, 113931 (2025) https://doi.org/10.1016/j

Reference 3

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Observation 5d044249-c943-46b8-a54f-76aa68c12f24 · outbound

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Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Unresolved cited work

Reference 4

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Observation 0bca25ec-91c3-4cee-86bb-c9dc5c0354d9 · outbound

This paper cites Wave Motion70, 101–112 (2017) https://doi.org/10.1016/j.wavemoti.2016.10.006.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Wave Motion70, 101–112 (2017) https://doi.org/10.1016/j.wavemoti.2016.10.006

Reference 5

Resolution: verified exact; doi, observed 2026-08-15T22:45:10.900584Z

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Observation fc2800b9-8adf-428c-85c7-091de4d08186 · outbound

This paper cites The Journal of the Acoustical Society of America138(4), 2537–2547 (2015) https://doi.org/10.1121/1.4931446.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design The Journal of the Acoustical Society of America138(4), 2537–2547 (2015) https://doi.org/10.1121/1.4931446

Reference 6

Resolution: verified exact; doi, observed 2026-08-15T22:45:10.884604Z

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Observation cf70e4fb-58f3-442a-9bd3-96d1841598b6 · outbound

This paper cites an unresolved cited work.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Unresolved cited work

Reference 7

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Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-08-15T22:45:10.842891Z

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Observation d85da785-7dd8-4122-bf26-2d97edb995cd · outbound

This paper cites an unresolved cited work.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Unresolved cited work

Reference 9

Resolution: verified exact; doi, observed 2026-08-15T22:45:10.827989Z

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Observation c4437cb6-a316-4971-abdc-1bf23ef5706d · outbound

This paper cites International Journal of Chemical and Biomolecular Engineering1, 40–44 (2008) 19.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design International Journal of Chemical and Biomolecular Engineering1, 40–44 (2008) 19

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:11.598652Z

Source-reported events for the cited work

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Observation 77819b38-43fc-4705-bfa9-5d5840a1e612 · outbound

This paper cites an unresolved cited work.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Unresolved cited work

Reference 11

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Observation 29e0a8aa-6639-49b1-be0e-43265a1bb32a · outbound

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Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Unresolved cited work

Reference 12

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Observation 59587c53-e90e-42bb-b81d-f3c8d422da4e · outbound

This paper cites APL Machine Learning 1(4), 046105 (2023).

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design APL Machine Learning 1(4), 046105 (2023)

Reference 13

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Observation 4f136d9b-b82a-4769-937b-9be2be60584c · outbound

This paper cites Rheologica Acta62(10), 477–490 (2023) https://doi.org/10.1007/ s00397-023-01397-w.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Rheologica Acta62(10), 477–490 (2023) https://doi.org/10.1007/ s00397-023-01397-w

Reference 14

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Observation 413f16ef-3c19-4d53-8b3e-bcd45fb7e55c · outbound

This paper cites an unresolved cited work.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Unresolved cited work

Reference 15

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Observation b580c035-64f8-4dd3-9f6e-27f0e4bc5b75 · outbound

This paper cites npj Computational Materials7(1), 188 (2021) https://doi.org/10.1038/ s41524-021-00656-9.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design npj Computational Materials7(1), 188 (2021) https://doi.org/10.1038/ s41524-021-00656-9

Reference 16

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Observation af1d01b0-63a6-4506-9d6c-e82a272067ed · outbound

This paper cites npj Comput.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design npj Comput

Reference 17

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Observation b868c533-ddfe-4b6f-ac91-b3ac78b95ad3 · outbound

This paper cites Rheologica Acta62, 477– 490 (2023) https://doi.org/10.1007/s00397-023-01397-w.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Rheologica Acta62, 477– 490 (2023) https://doi.org/10.1007/s00397-023-01397-w

Reference 18

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Observation 49053e08-6bf3-420c-a18f-5a4860571cc0 · outbound

This paper cites Applied Acoustics212, 109603 (2023) https: //doi.org/10.1016/j.apacoust.2023.109603.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Applied Acoustics212, 109603 (2023) https: //doi.org/10.1016/j.apacoust.2023.109603

Reference 19

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Observation 386350ad-fb8d-41b4-9f23-d40ad4d45e86 · outbound

This paper cites Polymer Testing96, 107115 (2021) https://doi.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Polymer Testing96, 107115 (2021) https://doi

Reference 20

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This paper cites Applied Acoustics169, 107476 (2020) https://doi.org/10.1016/j.apacoust.2020.107476.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Applied Acoustics169, 107476 (2020) https://doi.org/10.1016/j.apacoust.2020.107476

Reference 21

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This paper cites Advanced Intelligent Systemsn/a(n/a), 2400304 https://doi.org/10.1002/aisy.202400304 https://onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.202400304.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Advanced Intelligent Systemsn/a(n/a), 2400304 https://doi.org/10.1002/aisy.202400304 https://onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.202400304

Reference 22

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Observation cb7e1a57-148d-4efb-a798-858a3d832cb8 · outbound

This paper cites In: AIAA SciTech Forumv, National Harbor, United States, p.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design In: AIAA SciTech Forumv, National Harbor, United States, p

Reference 23

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Observation 626c6958-593a-434b-bbde-733119724d21 · outbound

This paper cites Journal of Building Pathology and Rehabilitation8, 1–12 (2023) https://doi.org/10.1007/s42107-023-00689-z.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Journal of Building Pathology and Rehabilitation8, 1–12 (2023) https://doi.org/10.1007/s42107-023-00689-z

Reference 24

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Observation f4f32fcd-d819-423b-96b4-b6d144e292d3 · outbound

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Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Unresolved cited work

Reference 25

Resolution: verified exact; doi, observed 2026-08-15T22:45:10.745445Z

Source-reported events for the cited work

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Observation 63f0344a-e26a-4bbc-8f77-f1a3d5f6afb0 · outbound

This paper cites Chem Sci15(19), 7219–7228 (2024).

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Chem Sci15(19), 7219–7228 (2024)

Reference 26

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This paper cites Brain Informatics11(1), 10 (2024) https://doi.org/10.1186/ s40708-024-00222-1.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Brain Informatics11(1), 10 (2024) https://doi.org/10.1186/ s40708-024-00222-1

Reference 27

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Observation 2c06aac1-b620-4c19-bf9e-32a8350a3002 · outbound

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Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Unresolved cited work

Reference 28

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Observation 404a7467-9dc8-40c0-9df8-299611b6c6ec · outbound

This paper cites an unresolved cited work.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Unresolved cited work

Reference 29

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This paper cites In: Pro- ceedings of Building Simulation 2021: 17th Conference of IBPSA, pp.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design In: Pro- ceedings of Building Simulation 2021: 17th Conference of IBPSA, pp

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T22:45:10.676498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites Materials Today Communications39, 108804 (2024) https://doi.org/10.1016/j.mtcomm.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Materials Today Communications39, 108804 (2024) https://doi.org/10.1016/j.mtcomm

Reference 31

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Observation 0dd6be48-c53e-4e06-8cf6-9be62f402a39 · outbound

This paper cites In: Proceedings of the 34th International Con- ference on Machine Learning - Volume 70.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design In: Proceedings of the 34th International Con- ference on Machine Learning - Volume 70

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:45:11.436950Z

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Observation 9d26a174-07ac-4202-885f-1427e7007acc · outbound

This paper cites Entropy23(1) (2021) https://doi.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Entropy23(1) (2021) https://doi

Reference 33

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Unavailable: canonical work link unavailable.

Observation bf1b43c4-a98d-4adc-82c8-494b0ae97aef · outbound

This paper cites an unresolved cited work.

Interpretable SHAP-bounded Bayesian Optimization for Underwater Acoustic Metamaterial Coating Design Unresolved cited work

Reference 34

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.