Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T08:25:36.012333Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.29370.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T08:25:36.012333Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3442c5a1-59bb-41e8-b6b9-e5538e57cd7d · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education
Reference 1
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Observation 3a193bd3-8c3e-4f38-af13-114c6f62db31 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Classification Problem Solving
Reference 2
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Observation 7431171c-64d3-4f1f-b3ff-3582d6ba124d · outbound
Reference 3
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Observation 590675da-ea69-4821-8eca-211cc4c8a132 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection New Ways to Make Microcircuits Smaller---Duplicate Entry
Reference 4
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Observation 9f6c02ed-a642-4d7a-9572-818f56b0b1f4 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Clancey and Glenn Rennels , abstract =
Reference 5
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Observation 05f5b790-0def-4cf5-b005-91871437736f · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection and Rennels, Glenn R
Reference 6
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Observation 6721f500-b05c-4ed2-9546-aa60ce1caadf · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Poligon: A System for Parallel Problem Solving
Reference 7
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Observation cfaab6cb-e9a0-4e9d-b30e-67940fa9bbcc · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Transfer of Rule-Based Expertise through a Tutorial Dialogue
Reference 8
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Observation 234890e8-be21-4247-8b8c-de333bca83b4 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection The Engineering of Qualitative Models
Reference 9
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Observation a3f77ebd-fd28-407d-bd5c-8bdb12c54091 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection 2023 , eprint=
Reference 10
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Observation 2f843337-33cc-49ff-bd0d-9d8d42469160 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Pluto: The 'Other' Red Planet
Reference 11
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Observation 54ae4de5-aacb-444f-81a1-2e6bee3c5cd1 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Pattern Recognition , pages=
Reference 12
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Observation 3dcc7a1b-6d38-4d08-b174-4d2838a68ee6 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 13
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Observation 6f050212-b65b-40f4-9283-919a1ea9fe67 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection European Conference on Computer Vision , pages=
Reference 14
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Observation e1d6bda8-c0cd-4c6a-b872-ac33d97e22a3 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 15
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Observation 813f18f8-c9e1-4a2e-8776-f7740112b74a · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 16
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Observation d0153262-b432-4da1-80d5-8413940e7aab · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection European Conference on Computer Vision , pages=
Reference 17
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Observation 811a0965-ac22-4e92-a5ff-f21b6d8dfc9c · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) , pages=
Reference 18
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Observation d945bee3-2e02-41a6-944c-0b8167888902 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection DAGM symposium in , volume=
Reference 19
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Observation 5c85badf-b77b-4863-9e5b-f64b6be0fd53 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=
Reference 20
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Observation e6a76d57-c67a-4711-8bf7-9fd075c316cf · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 21
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Observation 90084e85-eba0-4238-8b12-addd8276cb98 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Brain , volume=
Reference 22
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Observation a0fe916b-4c6b-44b3-abd1-52d3bee386f7 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection 2020 , howpublished =
Reference 23
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Observation 2fa516db-d655-4aee-a6bb-426e644b6cf7 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection IEEE transactions on medical imaging , volume=
Reference 24
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Observation 16986e20-a728-47f5-9882-8aa60ee232e4 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection saliency maps from physicians , author=
Reference 25
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Observation e30d1601-00f7-429a-8397-fffb1d2d6ab2 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Pattern Recognition
Reference 26
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Observation 37c7b6ec-a309-4ee0-b915-8bf35a067702 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection International conference on multimedia modeling , pages=
Reference 27
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Observation 809ea8bb-0883-4e70-a788-1e0ee46c683d · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018) , pages=
Reference 28
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Observation bbd705e6-4766-4031-87a0-0ba03c0d6aeb · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Computers in Industry , volume=
Reference 29
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Observation 8c4aa201-8826-4f09-8f45-f25b2ea7f01b · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 30
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Observation 4985bf58-9384-4507-98e1-86f01e5b0cd1 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection European conference on computer vision , pages=
Reference 31
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Observation a1f92c9f-8de9-44d6-9bcb-126f000116cc · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection International Conference on Learning Representations , volume=
Reference 32
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Observation 4dd46199-d982-4503-94d0-f5aa2a5223e2 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the Computer Vision and Pattern Recognition Conference , pages=
Reference 33
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Observation 65fd1888-239a-4d45-86d5-2167ca15777e · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=
Reference 34
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Observation dc5dd6a7-cf2a-44d9-860e-ad59e648b040 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 35
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Observation 95865afd-83c3-4d07-acf3-04072d83a4ac · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection International journal of computer vision , volume=
Reference 36
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Observation 2b99d2af-7afd-456d-ad59-64333ae05461 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
Reference 37
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Observation 0f78e2e2-ccd1-43ac-b91b-8e4b702afc5f · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF international conference on computer vision , pages=
Reference 38
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Observation c52d475e-0323-4f17-9c5a-68512fcc33a9 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
Reference 39
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Observation dd261150-d5b5-4c66-8e66-a5bee4c441e7 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection European Conference on Computer Vision , pages=
Reference 40
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Observation e65f9461-a905-4f76-9376-5859c3b35b19 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 41
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Observation 2e1f10bc-248c-4d2b-ad56-b7e43524b3f8 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 42
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Observation 4d47d23a-acc1-422a-b361-845fa9c8f128 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 43
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Observation 7a7f40b4-20c3-4b8e-afb7-fc08ba851a86 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=
Reference 44
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Observation 9a5c0bed-8a56-4cef-9240-8512a0c9115a · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection International conference on machine learning , pages=
Reference 45
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Observation d42ff013-65a7-4af3-bcc1-b9d7e5d0c23d · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the Computer Vision and Pattern Recognition Conference , pages=
Reference 46
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Observation 1378ca3c-aabd-403d-982f-4c00af143430 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection The Thirteenth International Conference on Learning Representations , year=
Reference 47
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Observation f8c551ea-a1de-4ba0-9ec2-fec00f604433 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=
Reference 48
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Observation ee7d1ead-5f4b-4c2f-946d-27dbe76e6882 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 49
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Observation 25a482cc-5840-4339-a6e4-842db7e1450f · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 50
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Observation 945c31eb-bc1e-4b04-8110-eb5e46030a3a · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Proceedings of the IEEE international conference on computer vision , pages=
Reference 51
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Observation e35ed05b-238c-4e6b-84c8-628b93e02472 · outbound
VFAD: Variational Semantic Prompting Meets Frequency-Adaptive Representation Learning for Zero-Shot Anomaly Detection Dice Loss for Data-imbalanced NLP Tasks
Reference 52
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No inbound Pith citation observations are available.