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Paper Citation Record · LEDGER

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2508.01834.

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

pith.paper-citation-record.v1
2508.01834 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:23:21.146510Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:42:21.273997Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved11
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b857fed-7a41-41ef-8607-9e2b443fb438 · outbound

This paper cites European journal of breast health20(1), 8 (2023).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design European journal of breast health20(1), 8 (2023)

Reference 1

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Observation feb0675f-0bd8-4f48-95fa-4ea1c445b0f0 · outbound

This paper cites IEEE Access11, 117935–117946 (2023).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design IEEE Access11, 117935–117946 (2023)

Reference 2

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation cbb74e63-f815-4b33-bf76-c47de2ac7b3d · outbound

This paper cites In: In- ternational conference on machine learning.

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design In: In- ternational conference on machine learning

Reference 3

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 03a5d5f8-f778-4045-b146-d8dbeb5e60d8 · outbound

This paper cites Breast Cancer Research19, 1–14 (2017).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design Breast Cancer Research19, 1–14 (2017)

Reference 4

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9431588d-1a42-476c-bca7-df346fc90923 · outbound

This paper cites In: Medical Image ComputingandComputer-AssistedIntervention–MICCAI2016:19thInternational Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 19.

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design In: Medical Image ComputingandComputer-AssistedIntervention–MICCAI2016:19thInternational Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 19

Reference 5

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Observation abb563a3-8a84-4725-a5a5-0f0d065cc080 · outbound

This paper cites Insights into Imaging14(1), 64 (2023).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design Insights into Imaging14(1), 64 (2023)

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 84da6b0c-6640-42d1-abf8-aec8581e862c · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 7

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Observation 686de033-b497-446a-99cc-ebeec51e2e7b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

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Observation 6e76181b-3dbe-439b-b196-9b0efe422317 · outbound

This paper cites Scientific data12(1), 453 (2025).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design Scientific data12(1), 453 (2025)

Reference 9

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Observation 5b2ad5fe-6c64-4711-8b70-a9a55486e5f6 · outbound

This paper cites Breast Cancer Research20(1), 34 (2018).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design Breast Cancer Research20(1), 34 (2018)

Reference 10

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 38451642-5b60-45c6-89ec-da38a579a5e8 · outbound

This paper cites Clinical breast can- cer 6(5), 391–401 (2005) 8 T.

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design Clinical breast can- cer 6(5), 391–401 (2005) 8 T

Reference 11

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Observation 218de7e4-dd18-4c9e-83f8-bb3f7e98dc6c · outbound

This paper cites Nature methods18(2), 203–211 (2021).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design Nature methods18(2), 203–211 (2021)

Reference 12

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Observation 030931a3-e3c0-4d2f-b1d1-95f498df4d88 · outbound

This paper cites Advances in neural information processing systems30 (2017).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design Advances in neural information processing systems30 (2017)

Reference 13

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ae50f506-1202-4c0a-bb85-91a66b24c8e7 · outbound

This paper cites an unresolved cited work.

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design Unresolved cited work

Reference 14

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Observation 9635c18e-f5fb-4cc2-9fc2-194e3cf132dc · outbound

This paper cites Insights into imaging 4(2), 163–175 (2013).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design Insights into imaging 4(2), 163–175 (2013)

Reference 15

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e4bd9d3e-a1c1-499c-811f-45e8768bd939 · outbound

This paper cites In: 2016 fourth international confer- ence on 3D vision (3DV).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design In: 2016 fourth international confer- ence on 3D vision (3DV)

Reference 16

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Observation 4848045c-9a1b-4f39-b75b-bd1ba66f9ac4 · outbound

This paper cites European journal of radiology157, 110561 (2022).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design European journal of radiology157, 110561 (2022)

Reference 17

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design Attention U-Net: Learning Where to Look for the Pancreas

Reference 18

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Observation edad7454-63fa-4aa6-b830-6c60671a2c08 · outbound

This paper cites South Asian journal of cancer7(2), 69 (2018).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design South Asian journal of cancer7(2), 69 (2018)

Reference 19

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18.

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, Oc- tober 5-9, 2015, proceedings, part III 18

Reference 20

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Observation cdb3e464-1cac-4639-9676-677a5d9293f7 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 21

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Observation 4fdaa78a-ea29-49f5-999e-b1771dd70f3d · outbound

This paper cites Breast cancer research and treatment92(3), 231–238 (2005).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design Breast cancer research and treatment92(3), 231–238 (2005)

Reference 22

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Observation 7b22697c-0eb2-4ad5-9eb5-519c4be9cfda · outbound

This paper cites The International journal of biological markers 32(1), 118–125 (2017).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design The International journal of biological markers 32(1), 118–125 (2017)

Reference 23

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This paper cites Cancer research77(21), e104–e107 (2017).

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design Cancer research77(21), e104–e107 (2017)

Reference 24

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This paper cites Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective.

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design Understanding Why ViT Trains Badly on Small Datasets: An Intuitive Perspective

Reference 25

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Pith citing papers

Observation 873445a1-74b4-4357-9387-1c9e5c917e93 · inbound

Scalably computing metric magnitude cites this paper.

Scalably computing metric magnitude Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design

Reference 49

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