Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:39:15.500609Z
Paper Citation Record · LEDGER
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
As of 22 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2505.09264.
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 2026-08-22T06:32:14.747728+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
60 of 60 outbound references displayed
- verified exact0
- verified fuzzy52
- unresolved7
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 314965ef-60b6-4e41-b726-9241f513551a · outbound
This paper cites In: NeurIPSW (2019).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: NeurIPSW (2019)
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.169442Z
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 ce1f6b70-d609-4529-b90e-571ee73dd519 · outbound
This paper cites In: NeurIPS (2013).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: NeurIPS (2013)
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.159288Z
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 df0ecacf-ae5d-42d9-91d2-8da4303c5c0a · outbound
This paper cites IJCV 130(4) (2022).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt IJCV 130(4) (2022)
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.148828Z
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 c5783e0a-79d2-4302-97ca-a1b5eab53655 · outbound
This paper cites In: CVPR (2019).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2019)
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.137298Z
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 f4282897-2289-4b7b-adf1-a556b7f194e0 · outbound
This paper cites In: CVPR (2020).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2020)
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.125951Z
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 040944b6-0582-4938-9a69-2ac418c8ef22 · outbound
This paper cites In: VISIGRAPP (2019).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: VISIGRAPP (2019)
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.114291Z
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 9adf6d23-b49e-4c68-96f6-a4dc4c2d517d · outbound
This paper cites Segment Any Anomaly without Training via Hybrid Prompt Regularization.
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Segment Any Anomaly without Training via Hybrid Prompt Regularization
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:39:15.297779Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94eb86d0-147c-4c75-bdd5-66aa153811ff · outbound
This paper cites In: ICCV (2023).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ICCV (2023)
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.103167Z
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 5a3a506d-7b29-4951-84f3-c83fbbb48a71 · outbound
This paper cites In: ICML (2006).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ICML (2006)
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:39:15.306303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f7a0653-31ac-48d5-81d1-5406cb574d24 · outbound
This paper cites In: ICPR (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ICPR (2021)
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.084085Z
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 73d97766-593f-40e2-9cfb-bb8e7943cf26 · outbound
This paper cites In: CVPR (2022).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2022)
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.073921Z
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 827fdb1c-d633-4b49-8681-2a2f160070ba · outbound
This paper cites In: CVPR (2022).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2022)
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.064752Z
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 86ca4745-7d1c-4d3b-934d-a4bc0fcf9259 · outbound
This paper cites In: CVPR (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2021)
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.054547Z
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 3765975a-b1b2-42a9-afe8-d124cda75475 · outbound
This paper cites In: ICCV (2019).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ICCV (2019)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.043438Z
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 706ac6b0-c724-48aa-8f84-b4a1002600de · outbound
This paper cites In: AAAI (2024).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: AAAI (2024)
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.032059Z
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 7c83272d-9b69-413c-b69e-d3d164ba1be9 · outbound
This paper cites In: ICCV (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ICCV (2021)
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.020778Z
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 c8acdb8f-9a06-4894-ba2b-19a0d711efc3 · outbound
This paper cites In: CVPR (2024).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2024)
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:16.009627Z
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 cd95bc8a-ddcb-4cfb-bfd0-46dcefb2a4da · outbound
This paper cites In: CVPR (2023).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2023)
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.997082Z
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 981b7b88-362e-4a2b-9284-cf1b3511f990 · outbound
This paper cites npj Digit.
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt npj Digit
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.985743Z
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 6f9d1815-22db-4f6b-8c09-93712c17d51d · outbound
This paper cites IEEE Access10 (2022).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt IEEE Access10 (2022)
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.976439Z
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 6225329e-b125-4f4d-a3fa-e41ab82e0fa3 · outbound
This paper cites IEEE Access10 (2022).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt IEEE Access10 (2022)
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.966273Z
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 4ddc2d46-922f-482d-86b0-5e6484716678 · outbound
This paper cites In: CVPR (2023).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2023)
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.955248Z
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 38ae4bbe-2f66-4acc-8d88-c89fa7172e38 · outbound
This paper cites In: CVPR (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2021)
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.943778Z
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 7c7cb043-cffb-41ad-a2e2-121fb1a19425 · outbound
This paper cites In: CVPR (2023).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2023)
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.931982Z
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 248cade2-9317-40f3-953c-1f107dc8b1f9 · outbound
This paper cites In: CVPR (2023).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2023)
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.918873Z
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 ff20e0de-c393-4aeb-836a-8e4d8c2a9864 · outbound
This paper cites In: SIE (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: SIE (2021)
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.906938Z
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 8ac1d58e-fa83-40ae-accb-737febdec912 · outbound
This paper cites In: ICLR (2023).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ICLR (2023)
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.896681Z
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 142d7a36-36cd-425b-80dd-231cc51233e8 · outbound
This paper cites In: CVPR (2020).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2020)
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.886815Z
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 0928f941-6f44-4226-a052-15c401daeda9 · outbound
This paper cites In: CVPR (2019).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2019)
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.875525Z
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 d7124167-24f1-4e28-ac54-025469253055 · outbound
This paper cites ACMSCG19(3) (2005).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt ACMSCG19(3) (2005)
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.863250Z
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 63924b0d-42ad-4506-83bb-7224dcb61a4d · outbound
This paper cites In: ICML (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ICML (2021)
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:39:15.391187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 435c4bee-667f-4d84-b04d-61ffd622b7c4 · outbound
This paper cites Nature Neuroscience 2(1) (1999).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Nature Neuroscience 2(1) (1999)
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.844220Z
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 47eca881-ce54-4ecd-a6b2-c8da8d9fcf7f · outbound
This paper cites In: CVPR (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2021)
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.832905Z
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 46c26940-457b-4cd5-9f6a-9744e2cf98e3 · outbound
This paper cites In: ICPR (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ICPR (2021)
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.821629Z
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 37751169-3f6f-4d4b-8a61-a57a5623412e · outbound
This paper cites In: CVPR (2022).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2022)
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.810666Z
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 bc3fd30b-63c4-4313-ad45-e2de39bf95a0 · outbound
This paper cites In: CVPR (2022).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2022)
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:39:15.412323Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31a1d136-d0e0-409e-a70a-df2bd3c636c1 · outbound
This paper cites In: CVPR (2022).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2022)
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.793099Z
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 cf939880-11ec-4355-b3ec-3ff21392b8f1 · outbound
This paper cites In: WACV (2022).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: WACV (2022)
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.782582Z
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 7f7a78c5-fad2-452a-922e-5a134bc5e47a · outbound
This paper cites In: CVPR (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2021)
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.769118Z
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 d6797d6a-0023-4515-8d78-088f4d01daf4 · outbound
This paper cites In: CVPR (2018).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2018)
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:39:15.425609Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37a10cea-38fe-432a-89a5-2cddf8948535 · outbound
This paper cites In: ICML (2019).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ICML (2019)
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:39:15.428718Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bc321ba-679a-40b1-b3af-c20f21b7df72 · outbound
This paper cites In: CVPR (2023) OneNIP 17.
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2023) OneNIP 17
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.743542Z
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 b89c9350-7ee0-4de6-818b-79638645dffd · outbound
This paper cites In: NeurIPS (2017).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: NeurIPS (2017)
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:39:15.435287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ca018c4-120c-49cb-9f1b-ddf20affa9d6 · outbound
This paper cites In: ICML (2008).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ICML (2008)
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.725515Z
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 d69f1e16-087b-4a30-b77a-56121ff95e93 · outbound
This paper cites BMVC (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt BMVC (2021)
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.715176Z
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 148b72e8-8d50-4bd0-b02e-ee4a5741c4ef · outbound
This paper cites In: CVPR (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2021)
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.705597Z
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 c39a2af5-190e-4532-a30c-61b0bd0702df · outbound
This paper cites In: ICPR (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ICPR (2021)
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.695658Z
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 127ce6fa-488c-4cff-b687-71aae4a4fddc · outbound
This paper cites In: CVPR (2023).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2023)
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.685529Z
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 91bc7321-0ece-4b72-a875-9480f7ca2255 · outbound
This paper cites In: AAAI (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: AAAI (2021)
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.675158Z
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 63464bf3-cc40-4797-ae0b-7a927036248b · outbound
This paper cites In: ICCV (2023).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ICCV (2023)
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.664403Z
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 78182aa1-c072-44a7-9263-8f05e550061c · outbound
This paper cites In: CVPR.
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.652856Z
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 d9f10d65-6119-44e9-8faf-7e70386ba00d · outbound
This paper cites In: NeurIPS (2022).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: NeurIPS (2022)
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.641881Z
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 820352be-49a0-4e0e-9ec2-6ae57ac67522 · outbound
This paper cites In: CVPR (2020).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2020)
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.630903Z
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 3e797aaa-7b6a-4829-bf25-82e3ccd46496 · outbound
This paper cites In: ICCV (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ICCV (2021)
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.620503Z
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 3e1e6a97-fb2f-4f86-8e6e-1ddd887f8596 · outbound
This paper cites PR112 (2021).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt PR112 (2021)
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.608951Z
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 73448c64-77cf-4f11-875e-e433b9fa9edc · outbound
This paper cites In: CVPR (2023).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2023)
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.597094Z
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 c42635bd-8db6-4c15-8472-4f743b683553 · outbound
This paper cites In: CVPR (2023).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2023)
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.584297Z
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 2d0cb876-7091-4880-b461-0ccd6ff8396e · outbound
This paper cites In: CVPR (2023).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: CVPR (2023)
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.571696Z
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 edb455f3-fe65-4257-8478-15eb0eaedb6f · outbound
This paper cites In: ICLR (2024).
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ICLR (2024)
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:39:15.560074Z
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 7b8bac25-e814-4805-82d0-9dff7f520bd8 · outbound
This paper cites In: ECCV (2022) OneNIP 1 A Implementation Details For fair comparisons, we maintain the same hyper-parameters as in UniAD [52].
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt In: ECCV (2022) OneNIP 1 A Implementation Details For fair comparisons, we maintain the same hyper-parameters as in UniAD [52]
Reference 60
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-15T21:39:15.545792Z
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.