Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:26:04.291266Z
Paper Citation Record · LEDGER
Large-scale Testing Global Optimization Methods with Black-box Adversarial Attacks
As of 16 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:26:04.174161Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fddbcbc6-90cb-415b-91e9-edcf3161636a · outbound
This paper cites an unresolved cited work.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e34db0ca-b0b5-4aeb-85d0-8fc7b78f9c64 · outbound
This paper cites an unresolved cited work.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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 2026-08-16T06:30:59.297886+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:26:04.209851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f7b63c9-7159-4c88-ba05-34a2cf135c86 · outbound
This paper cites an unresolved cited work.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fea7f08a-b602-4d53-bdce-68da74ed51d7 · outbound
This paper cites an unresolved cited work.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:26:04.659512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:26:04.644288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
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 2026-08-16T06:30:59.297886+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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.