Paper Citation Record · LEDGER

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks

As of 18 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2608.13296.

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

pith.paper-citation-record.v1
2608.13296 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:26:04.291266Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

48 of 48 outbound references displayed

verified exact0
verified fuzzy13
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3eb95cf-0c12-4ffd-b3b6-211f85c29256 · outbound

This paper cites In: 27th USENIX security symposium (USENIX Security 18).

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks In: 27th USENIX security symposium (USENIX Security 18)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:05.111787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a931c967-0f49-4a84-a637-9c8ebe808147 · outbound

This paper cites In: Proceedings of the genetic and evolutionary computation conference.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks In: Proceedings of the genetic and evolutionary computation conference

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:05.096033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4764e7f4-948b-43d2-bc3a-1942997bf3ad · outbound

This paper cites In: European conference on computer vision.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks In: European conference on computer vision

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:03.944576Z

Source-reported events for the cited work

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Observation 67cca08c-abc2-4083-8075-30d1da3a2a7e · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:05.067646Z

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Observation 510b4067-53c0-4fc2-8e56-71bee676a855 · outbound

This paper cites 2017 IEEE Symposium on Security and Privacy (SP) pp.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks 2017 IEEE Symposium on Security and Privacy (SP) pp

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:05.051541Z

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Observation 41f66e98-99a0-4cd3-aa5a-6f1bd841cc5e · outbound

This paper cites In: 2020 ieee symposium on security and privacy (sp).

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks In: 2020 ieee symposium on security and privacy (sp)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:04.079544Z

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Observation c27b8532-e075-4daa-be1c-e7388976eee5 · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:05.025130Z

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Observation 12d90ad8-e876-49ec-be1f-cdc7638c91ec · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:05.008143Z

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Observation 62555f10-622c-4661-ad54-e27690cb3574 · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.992955Z

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Observation e9a00eb2-b71f-4faa-84b0-3d90b849b303 · outbound

This paper cites In: International Conference on the Applications of Evolutionary Computation (Part of EvoStar).

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks In: International Conference on the Applications of Evolutionary Computation (Part of EvoStar)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:04.979760Z

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Observation f275608e-eef3-46c7-966c-55ec1e7c74c6 · outbound

This paper cites IEEE Access12, 61113–61136 (2024).

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks IEEE Access12, 61113–61136 (2024)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:04.965130Z

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Observation ecb61317-af20-44db-b116-38964732e496 · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.947987Z

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Observation 943ff77d-4c39-493b-8792-ed7582cbf19a · outbound

This paper cites (eds.): Towards Global Optimisation 2.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks (eds.): Towards Global Optimisation 2

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:04.931429Z

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Observation a0d22458-78bf-4fc1-9655-07543a54129b · outbound

This paper cites COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:04.121129Z

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Observation c79085ee-4b43-49bc-b53f-777b56bde0a8 · outbound

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

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:04.914525Z

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Observation ac982b30-8266-43eb-86e8-78a1b0530cea · outbound

This paper cites Adversarial Attacks Against Medical Deep Learning Systems.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Adversarial Attacks Against Medical Deep Learning Systems

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:04.130788Z

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Observation 6f3bb604-a3f0-469f-ac1b-550c8ce7f7db · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Explaining and Harnessing Adversarial Examples

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:04.135789Z

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Observation dde678e1-b0b7-495f-974e-d38a65cbe043 · outbound

This paper cites Simple Black-box Adversarial Attacks.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Simple Black-box Adversarial Attacks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:04.140645Z

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Observation 5da851f3-6821-47ac-8408-3978496ac471 · outbound

This paper cites Research Report RR-6869, INRIA (2009),https://inria.hal.science/inria-00369466.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Research Report RR-6869, INRIA (2009),https://inria.hal.science/inria-00369466

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:04.898752Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8260fb0f-9e55-4ba6-9b54-9a081523776b · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.880723Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29eee211-995d-4f90-b7cf-6fa25e52679a · outbound

This paper cites 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:04.155437Z

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Observation 4d89f870-9ab5-49e7-8be5-84a359c63525 · outbound

This paper cites In: International Conference on Neural Information Processing.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks In: International Conference on Neural Information Processing

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:04.851093Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22d9d5e6-918f-4096-a266-14e2a6d5922e · outbound

This paper cites In: International Conference on Machine Learning (2018),https://api.semanticscholar.org/CorpusID:5046541.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks In: International Conference on Machine Learning (2018),https://api.semanticscholar.org/CorpusID:5046541

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:04.834830Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 05a9724f-befb-493b-bfd1-7ed2538f45c1 · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.818829Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5bb4fcc2-9fa4-4ee8-98f6-6fb6343ac2e8 · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 25

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Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.792723Z

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Observation e34db0ca-b0b5-4aeb-85d0-8fc7b78f9c64 · outbound

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Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.775682Z

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Observation 089e122f-a0e5-497b-9b93-666b96213b99 · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.756288Z

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Observation 603660f0-2596-426a-a30a-4f0dd98ae09c · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.739241Z

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Observation 434525e6-381b-4408-904d-57808682454b · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.723262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2c853ce1-3ea8-4fdb-9221-3656233dd389 · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.706969Z

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Observation 6d6fbc18-b324-4462-bdec-dc2783d67f4c · outbound

This paper cites Delving into Transferable Adversarial Examples and Black-box Attacks.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Delving into Transferable Adversarial Examples and Black-box Attacks

Reference 32

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Observation b2e46405-7441-4d37-8481-48db3bbb6697 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:04.215421Z

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Observation 0f7b63c9-7159-4c88-ba05-34a2cf135c86 · outbound

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Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.690831Z

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Observation fea7f08a-b602-4d53-bdce-68da74ed51d7 · outbound

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Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.675031Z

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Observation 9f12efb0-6139-4702-ad52-36b1ac719208 · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 36

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Observation 476b8830-5aee-46ed-8f20-fa0fba792bb5 · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 37

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Observation a35fce6b-c1f5-4e2c-b48c-0ec27ddd12f9 · outbound

This paper cites In: Proceedings of the 2017 ACM on Asia conference on computer and communications security.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks In: Proceedings of the 2017 ACM on Asia conference on computer and communications security

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:04.239234Z

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Unavailable: canonical work link unavailable.

Observation d9264da7-438e-4f8b-9e51-4636975cd114 · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.620292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 206b2883-7410-48bc-bf12-58609cad0703 · outbound

This paper cites International journal of computer vision115(3), 211–252 (2015).

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks International journal of computer vision115(3), 211–252 (2015)

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:04.248652Z

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Observation 17a00272-3c97-4577-a8c3-1306840b15b2 · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.594395Z

Source-reported events for the cited work

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Observation e6ace8c5-78d5-471c-8c65-95aff803056e · outbound

This paper cites IEEE Transactions on Evolutionary Computation23(5), 828–841 (2019).

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks IEEE Transactions on Evolutionary Computation23(5), 828–841 (2019)

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:04.258545Z

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Observation d1a21eef-bf37-4823-a5f6-7f2c7434eb81 · outbound

This paper cites an unresolved cited work.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:26:04.567223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 03a14abd-435f-4960-a3e5-994aa75682a3 · outbound

This paper cites In: AAAI Conference on Artificial Intelligence (2018),https://api.semanticscholar.org/CorpusID:44079102.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks In: AAAI Conference on Artificial Intelligence (2018),https://api.semanticscholar.org/CorpusID:44079102

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:04.551332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 189a26ae-e061-40f1-a4bf-f638c65ff527 · outbound

This paper cites In: NeurIPS 2020 competition and demonstration track.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks In: NeurIPS 2020 competition and demonstration track

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:04.535571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6ad5aa8-1e26-4796-aba4-46567f6d3cc1 · outbound

This paper cites Journal of Systems Architecture (2023).https: //doi.org/10.1016/j.sysarc.2023.102871.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks Journal of Systems Architecture (2023).https: //doi.org/10.1016/j.sysarc.2023.102871

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:04.280907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abfa44a6-586e-413b-969c-4dc71fc5460b · outbound

This paper cites 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:04.517887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f87ac58-096f-49a9-997b-c4034504c946 · outbound

This paper cites BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks.

Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:04.291266Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.