Paper Citation Record · LEDGER

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation

As of 20 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2505.09263.

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

pith.paper-citation-record.v1
2505.09263 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:39:54.473382Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T00:03:09.841186Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-15T00:03:20.039308Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
verified fuzzy33
unresolved17
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d1c6b87-a6f3-470a-bc32-24a64c0f6e55 · outbound

This paper cites In: NeurIPSW (2019).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: NeurIPSW (2019)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.960611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b29bf064-5715-4d40-807d-dc8a7c06682e · outbound

This paper cites In: MICCAI (2023).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: MICCAI (2023)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.950390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a5814940-5320-4cc9-a362-7b841142cea7 · outbound

This paper cites In: CVPR (2022).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2022)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.938968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a656ca8b-528b-4f67-8988-273753a23611 · outbound

This paper cites In: TMLR (2023).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: TMLR (2023)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.927953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 032ebe4c-8d4c-4851-a34e-47a1c8edc1a6 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.322092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f372ba4a-b99e-45ce-8d4e-c9bc99e9d644 · outbound

This paper cites In: CVPR (2019).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2019)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.326787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8be00195-8bc9-4226-a1b3-430551d62cb7 · outbound

This paper cites In: CVPR (2023).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2023)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.910720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 105e1afd-988c-4c0b-8aac-d3b480db28a8 · outbound

This paper cites ICCV (2021).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation ICCV (2021)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.334449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a46677f5-89f8-419d-abd8-cc2e2d8f3581 · outbound

This paper cites In: CVPR (2014).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2014)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.893834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c2e76d3d-5e6e-4069-9cd0-db4f579370ce · outbound

This paper cites In: ICML (2006).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: ICML (2006)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.341348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00441f8c-e422-40ff-bcf4-f6b680d682b5 · outbound

This paper cites In: ICPR (2021).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: ICPR (2021)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.876889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 791d0e0e-8872-4736-953b-18c643345b01 · outbound

This paper cites In: CVPR (2022).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2022)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.865861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3f536b60-18c2-4e26-a053-d897f1274662 · outbound

This paper cites In: NeurIPS (2021).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: NeurIPS (2021)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.352370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f2bdbd2-a64b-466a-8516-e9c258a11312 · outbound

This paper cites In: AAAI (2023).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: AAAI (2023)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.355845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f239139-a728-42ea-a152-de53c95e072d · outbound

This paper cites In: ICLR (2023).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: ICLR (2023)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.359100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d16585a-9015-4dc8-bbac-d8f82066ed2a · outbound

This paper cites In: NeurIPS (2020).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: NeurIPS (2020)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.362187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7986071a-12f8-4455-a72f-d3f7d9c666af · outbound

This paper cites In: AAAI (2024).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: AAAI (2024)

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.365751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16a2df5c-ad9a-4f42-b724-01b4b1793da7 · outbound

This paper cites In: CVPR (2023).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2023)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.825562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a4c0da08-3d44-4ef5-b7e2-59026d08cfe5 · outbound

This paper cites IEEE Access10 (2022).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation IEEE Access10 (2022)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.814341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0cab630-b96b-4216-afd1-4c436d144f7c · outbound

This paper cites In: CVPR (2021).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2021)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.804203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c60ffe20-b026-412e-aded-d91653b5b705 · outbound

This paper cites In: CVPR (2023).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2023)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.793741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3bede69e-3421-4faf-9d6d-e7b24e86132a · outbound

This paper cites In: ICCV (2017) 16 G.

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: ICCV (2017) 16 G

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.783082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c7761b5-5341-4f8f-ba07-49e57a760fcc · outbound

This paper cites In: WACV (2023).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: WACV (2023)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.772195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68c85d9d-2f02-4ceb-bab4-72e4a3ee28fc · outbound

This paper cites In: CVPR (2023).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2023)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.761337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 40efb1bd-d679-4129-908c-706b2aec7c98 · outbound

This paper cites In: CVPR (2022).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2022)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.749429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d8058bad-d840-48c3-bb1d-e86d21885049 · outbound

This paper cites In: ECCV (2021).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: ECCV (2021)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.738988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6e3a35a-a8e0-4c72-9514-dfa56ee40878 · outbound

This paper cites In: ICLR (2022).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: ICLR (2022)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.729132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ef358749-502e-47a7-b399-da07e9a32aef · outbound

This paper cites In: ICML (2021).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: ICML (2021)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.718826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 80b87e39-ec83-4302-811d-ff177ffc53d9 · outbound

This paper cites IEEE access7 (2019).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation IEEE access7 (2019)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.707479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a352d85e-cc11-4ee6-b814-5052aa8bc6e3 · outbound

This paper cites In: ICML (2021).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: ICML (2021)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.407864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c94d9a4-4ae6-4c0f-b507-e6e937b25374 · outbound

This paper cites In: CVPR (2021).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2021)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.690412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fd3e8cfd-f223-47ce-abc0-5e334b11b71d · outbound

This paper cites In: CVPR (2022).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2022)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.678398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 81a51971-0c35-4ddf-9de9-d698f4c22aaa · outbound

This paper cites In: CVPR (2022).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2022)

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.417172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b1400f-531b-4f87-83a1-b5c7a420f7f1 · outbound

This paper cites TOG23(3) (2004).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation TOG23(3) (2004)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.661137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dcbc9dda-08de-43ac-8821-27fd3397857a · outbound

This paper cites In: WACV (2022).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: WACV (2022)

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.424094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8fadb4b-ba65-46df-a97b-e2bec2ac0dc0 · outbound

This paper cites In: CVPR (2023).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2023)

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.427122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce8f2199-bef3-4e02-a780-68c963a26d6c · outbound

This paper cites In: NeurIPS (2022).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: NeurIPS (2022)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.638800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3fc0850-36cc-4ccc-80fe-4f7e25ed2681 · outbound

This paper cites In: IPMI (2017).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: IPMI (2017)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.629191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1d1eee80-cd09-4b46-a35d-c5e58aa8ac97 · outbound

This paper cites In: CVPR (2024).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2024)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.619040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation affebec0-6784-41bd-9a06-a94707273dbc · outbound

This paper cites In: CVPRW (2022).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPRW (2022)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.606933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fcb30229-6c0e-4e98-aa11-d24a12816509 · outbound

This paper cites Effective Data Augmentation With Diffusion Models.

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation Effective Data Augmentation With Diffusion Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.443125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b27cf857-bd6f-4d5b-91a4-de186e4efc34 · outbound

This paper cites In: CVPR (2018) AnoGen 17.

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2018) AnoGen 17

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.595792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 193f943d-71ef-4296-979c-f0e9c7845d2b · outbound

This paper cites ACM Computing Surveys53(3) (2020).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation ACM Computing Surveys53(3) (2020)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.584682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4836e2e-e374-46c4-b1eb-3f5ed154fecc · outbound

This paper cites TIP13(4) (2004).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation TIP13(4) (2004)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.573208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1cffc4b5-c05a-46b0-9f49-f52cd9209fc1 · outbound

This paper cites ACM Computing Surveys56(4) (2023).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation ACM Computing Surveys56(4) (2023)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.562868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c63270fe-7f35-4976-b2bd-7485f871c90e · outbound

This paper cites In: NeurIPS (2022).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: NeurIPS (2022)

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.460377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74e41eab-0a61-4621-a37a-0d5150561ce7 · outbound

This paper cites In: ICCV (2021).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: ICCV (2021)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.546144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation defce283-5760-47b0-bdeb-61d90d098f08 · outbound

This paper cites Pattern Recognition112, 107706 (2021).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation Pattern Recognition112, 107706 (2021)

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.467048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3595e9d-05cb-4c26-bded-24952ea9a60d · outbound

This paper cites In: CVPR (2023).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation In: CVPR (2023)

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T21:39:54.470263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f62caddb-01f6-486e-af30-ea42d4c7ab44 · outbound

This paper cites National Science Review 5(1) (2018).

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation National Science Review 5(1) (2018)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:39:54.523249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation a7a87438-e754-4c56-b35c-bc3c3b748d4c · inbound

Semantic Iterative Reconstruction: One-Shot Universal Anomaly Detection cites this paper.

Semantic Iterative Reconstruction: One-Shot Universal Anomaly Detection Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:03:20.040990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.