Paper Citation Record · LEDGER

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices

As of 22 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2505.24334.

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

pith.paper-citation-record.v1
2505.24334 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:32:08.997589Z

measured 38 of 38 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

38 of 38 outbound references displayed

verified exact0
verified fuzzy35
unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 62a2cf67-1be8-4a67-b36d-08d9db125307 · outbound

This paper cites In: Asian Conference on Computer Vision (ACCV) (2019).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: Asian Conference on Computer Vision (ACCV) (2019)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:15.366494Z

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Observation 0149beb9-f551-4f11-989f-e0115120f4cf · outbound

This paper cites In: Conference on Computer Vision and Pattern Recognition (CVPR) (2019).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: Conference on Computer Vision and Pattern Recognition (CVPR) (2019)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:15.211582Z

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Observation e172c442-ad52-4db6-8b2b-95fcac97e523 · outbound

This paper cites In: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2019).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2019)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:15.086825Z

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Observation 1a47c100-1fe2-4e0e-bccd-fc09ff3c7ce2 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering35(4), 3279– 3298 (2023).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices IEEE Transactions on Knowledge and Data Engineering35(4), 3279– 3298 (2023)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:14.895859Z

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Observation 80584a57-6553-42de-b61f-24c23055a2d3 · outbound

This paper cites IEEE Access 12, 23406– 23426 (2024) KairosAD: Industrial Anomaly Detection on Embedded Devices 11.

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices IEEE Access 12, 23406– 23426 (2024) KairosAD: Industrial Anomaly Detection on Embedded Devices 11

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:14.667050Z

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Observation 9fc288fa-1349-4917-97ee-f7c53015d04e · outbound

This paper cites In: 19th International Conference on Computer Vision Theory and Applications (VISAPP) (2024).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: 19th International Conference on Computer Vision Theory and Applications (VISAPP) (2024)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:14.508462Z

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

Observation 08d71410-f68a-42b3-b30d-ad1a46b2ce46 · outbound

This paper cites In: International Conference on Computer Vision (ICCV) (2021).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: International Conference on Computer Vision (ICCV) (2021)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:14.370831Z

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Observation 0083d3fd-25c3-49c8-955e-4ee4eb8a9624 · outbound

This paper cites In: Winter Conference on Applications of Computer Vision (WACV) (2024).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: Winter Conference on Applications of Computer Vision (WACV) (2024)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:14.157026Z

Source-reported events for the cited work

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

Observation fa76e6f1-41e2-473d-9ae3-484031406f79 · outbound

This paper cites In: Conference on Computer Vision and Pattern Recognition (CVPR) (2022).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: Conference on Computer Vision and Pattern Recognition (CVPR) (2022)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:14.078386Z

Source-reported events for the cited work

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

Observation 58d22517-2046-4620-bf6d-317a1642d487 · outbound

This paper cites an unresolved cited work.

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:32:13.927636Z

Source-reported events for the cited work

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Observation 7dde6a89-b363-4e01-8053-41ec6e72ffcc · outbound

This paper cites In: International Conference on Content-Based Multi- media Indexing (CBMI) (2024).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: International Conference on Content-Based Multi- media Indexing (CBMI) (2024)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:05.899704Z

Source-reported events for the cited work

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Observation 073c4d27-9a05-4f40-9e4b-8e79490251e3 · outbound

This paper cites Inter- national Journal of Computer Vision129(6), 1789–1819 (2021).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices Inter- national Journal of Computer Vision129(6), 1789–1819 (2021)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:13.774939Z

Source-reported events for the cited work

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

Observation 773f2dac-7f36-49b8-b9ef-534dc5122b50 · outbound

This paper cites In: Win- ter Conference on Applications of Computer Vision (WACV) (2022).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: Win- ter Conference on Applications of Computer Vision (WACV) (2022)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:13.607160Z

Source-reported events for the cited work

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

Observation 7234f837-7748-4b16-9e24-ba087c2e8165 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2022).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: Advances in Neural Information Processing Systems (NeurIPS) (2022)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:13.504887Z

Source-reported events for the cited work

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Observation e5f6fe2d-0e79-4896-8403-0dc71aa06563 · outbound

This paper cites ACM Computing Surveys54(10), 1–41 (2022).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices ACM Computing Surveys54(10), 1–41 (2022)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:13.398576Z

Source-reported events for the cited work

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Observation 5ac239ce-0db3-4a75-9b8a-05c114200fdd · outbound

This paper cites ACM Trans- actions on Embedded Computing Systems (2025).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices ACM Trans- actions on Embedded Computing Systems (2025)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:13.232661Z

Source-reported events for the cited work

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

Observation cd53ca78-148a-4901-90ee-8a28859ff5e7 · outbound

This paper cites In: Interna- tional Conference for Learning Representations (ICLR) (2014).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: Interna- tional Conference for Learning Representations (ICLR) (2014)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:13.107458Z

Source-reported events for the cited work

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

Observation adff7e95-d26c-4be7-8f7c-f878faf2cce0 · outbound

This paper cites In: International Conference on Computer Vision (ICCV) (2023).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: International Conference on Computer Vision (ICCV) (2023)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:12.882459Z

Source-reported events for the cited work

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

Observation 4db68676-e92b-4d34-b7d6-19a7cb3700c5 · outbound

This paper cites ACM Transactions on Multimedia Computing, Communica- tions, and Applications21(2), 1–23 (2025).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices ACM Transactions on Multimedia Computing, Communica- tions, and Applications21(2), 1–23 (2025)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:12.659872Z

Source-reported events for the cited work

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

Observation d000eb95-a559-4342-aa9d-107125f822fd · outbound

This paper cites Foundations and Trends in Computer Graphics and Vision16(1–2), 1–214 (2024).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices Foundations and Trends in Computer Graphics and Vision16(1–2), 1–214 (2024)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:12.468799Z

Source-reported events for the cited work

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

Observation b565b888-f91c-49d3-9f41-a8e27bfbfcc3 · outbound

This paper cites IEEE Transac- tions on Image Processing32, 4327–4340 (2023).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices IEEE Transac- tions on Image Processing32, 4327–4340 (2023)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:12.277845Z

Source-reported events for the cited work

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

Observation cc1ef624-1ebf-4bfc-864b-7ff4a100aae6 · outbound

This paper cites Machine Intelligence Research21(1), 104– 135 (2024) 12 U.

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices Machine Intelligence Research21(1), 104– 135 (2024) 12 U

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:12.051164Z

Source-reported events for the cited work

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

Observation a5a180f2-9db4-4afd-97cc-7b1edb0969ee · outbound

This paper cites In: Conference on Computer Vision and Pattern Recognition (CVPR) (2020).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: Conference on Computer Vision and Pattern Recognition (CVPR) (2020)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:11.906000Z

Source-reported events for the cited work

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

Observation 4e4f7e41-144e-4904-8d99-21c126be07a4 · outbound

This paper cites In: Conference on Computer Vision and Pat- tern Recognition (CVPR) (2023).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: Conference on Computer Vision and Pat- tern Recognition (CVPR) (2023)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:11.713110Z

Source-reported events for the cited work

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

Observation fe27a7c2-4c72-423c-8d98-6c264b41415f · outbound

This paper cites Transactions on Machine Learning Research (2024).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices Transactions on Machine Learning Research (2024)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:11.536524Z

Source-reported events for the cited work

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

Observation 1dec943a-ffc2-45ee-9a3d-60b85cd4b75e · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2019).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: Advances in Neural Information Processing Systems (NeurIPS) (2019)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:11.276186Z

Source-reported events for the cited work

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

Observation 5079ef9f-f203-41b3-9e32-86fe5b66c52c · outbound

This paper cites In: 38th International Conference on Machine Learning (ICML) (2021).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: 38th International Conference on Machine Learning (ICML) (2021)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:11.012420Z

Source-reported events for the cited work

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

Observation ae82a8ec-893f-4f4b-9330-9f87e0d0d427 · outbound

This paper cites ACM Computing Surveys 54(4), 1–34 (2021).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices ACM Computing Surveys 54(4), 1–34 (2021)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:10.839084Z

Source-reported events for the cited work

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

Observation 828dbf35-de9c-4d1a-8600-9a548553e4e8 · outbound

This paper cites In: Conference on Computer Vision and Pattern Recognition (CVPR) (2022).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: Conference on Computer Vision and Pattern Recognition (CVPR) (2022)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:10.659042Z

Source-reported events for the cited work

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

Observation 8b2a28be-b25b-4af9-a1bd-c3a9652d237b · outbound

This paper cites In: Con- ference on Computer Vision and Pattern Recognition (CVPR) (2023).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: Con- ference on Computer Vision and Pattern Recognition (CVPR) (2023)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:10.406337Z

Source-reported events for the cited work

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

Observation cce2bd7d-a0ba-4d1d-af83-af5d649c4451 · outbound

This paper cites IEEE Access 10, 63280–63300 (2022).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices IEEE Access 10, 63280–63300 (2022)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:10.242517Z

Source-reported events for the cited work

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

Observation e265a7bb-a52a-41f2-94b1-53e69ba1b058 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2017).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: Advances in Neural Information Processing Systems (NeurIPS) (2017)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:10.103141Z

Source-reported events for the cited work

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

Observation e0be8dc1-ea75-453f-9912-547ebb2cefed · outbound

This paper cites International Journal of Computer Vision132(12), 5635–5662 (2024).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices International Journal of Computer Vision132(12), 5635–5662 (2024)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:09.884890Z

Source-reported events for the cited work

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

Observation bc6e6ef6-c95d-40ba-a002-16e40739351c · outbound

This paper cites In: European Conference on Computer Vision (ECCV) (2024).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: European Conference on Computer Vision (ECCV) (2024)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:09.710913Z

Source-reported events for the cited work

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

Observation 04ad631a-f7d8-4123-ae90-6773c04c8da2 · outbound

This paper cites In: International Con- ference on Computer Vision (ICCV) (2023).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: International Con- ference on Computer Vision (ICCV) (2023)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:09.511989Z

Source-reported events for the cited work

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

Observation 05af1ce8-bd45-4753-b25e-3f5493476d58 · outbound

This paper cites In: International Con- ference on Computer Vision (ICCV) (2021).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: International Con- ference on Computer Vision (ICCV) (2021)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:09.342370Z

Source-reported events for the cited work

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

Observation 14ae8386-34a9-4c44-af10-f70aaaaadabc · outbound

This paper cites Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:08.918838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56d0e066-7c07-432e-9086-e31692a6219d · outbound

This paper cites In: European Conference on Computer Vision (ECCV) (2022).

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices In: European Conference on Computer Vision (ECCV) (2022)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:32:09.168734Z

Source-reported events for the cited work

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.