Paper Citation Record · LEDGER

ONER: Online Experience Replay for Incremental Anomaly Detection

As of 19 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2412.03907.

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

pith.paper-citation-record.v1
2412.03907 v3

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:03:25.268780Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:58:30.849589Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:58:34.971387Z

Reference resolution

56 of 56 outbound references displayed

verified exact3
verified fuzzy44
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 946e4f6f-2ac6-47e7-bfa4-6bc12b396416 · outbound

This paper cites an unresolved cited work.

ONER: Online Experience Replay for Incremental Anomaly Detection Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T22:03:28.467239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2feb9fb-443e-42a8-83ea-085710ca3552 · outbound

This paper cites Mvtec ad – a comprehensive real-world dataset for unsupervised anomaly detection.

ONER: Online Experience Replay for Incremental Anomaly Detection Mvtec ad – a comprehensive real-world dataset for unsupervised anomaly detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:28.356429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0253b223-8991-49e6-bfdc-249e87d2a8ef · outbound

This paper cites Improving unsupervised defect seg- mentation by applying structural similarity to autoencoders.

ONER: Online Experience Replay for Incremental Anomaly Detection Improving unsupervised defect seg- mentation by applying structural similarity to autoencoders

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:28.342433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fff3b49a-c6d0-432f-a93f-775279187de4 · outbound

This paper cites Dark experience for general continual learning: a strong, simple baseline.

ONER: Online Experience Replay for Incremental Anomaly Detection Dark experience for general continual learning: a strong, simple baseline

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:28.325377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5494958-d8d3-47a5-ae3a-aa44cf19ebc6 · outbound

This paper cites Segment any anomaly without training via hybrid prompt regularization,.

ONER: Online Experience Replay for Incremental Anomaly Detection Segment any anomaly without training via hybrid prompt regularization,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:28.231546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 39ea6524-a955-4ea6-8094-6fa19695fdd6 · outbound

This paper cites Clip-ad: A language-guided staged dual-path model for zero-shot anomaly detection.

ONER: Online Experience Replay for Incremental Anomaly Detection Clip-ad: A language-guided staged dual-path model for zero-shot anomaly detection

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:28.175420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation acc79398-c1ec-49fd-a4b0-c8934bc5e6ea · outbound

This paper cites Sub-Image Anomaly Detection with Deep Pyramid Correspondences.

ONER: Online Experience Replay for Incremental Anomaly Detection Sub-Image Anomaly Detection with Deep Pyramid Correspondences

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T22:03:23.833466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a33fc336-fdc7-41f7-812b-f3733b7d6aab · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

ONER: Online Experience Replay for Incremental Anomaly Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T22:03:23.838444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f00b1ab-800c-42f0-b3ab-2d94ae2e5018 · outbound

This paper cites Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision.

ONER: Online Experience Replay for Incremental Anomaly Detection Towards Total Online Unsupervised Anomaly Detection and Localization in Industrial Vision

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T22:03:23.866945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2936488-7f85-41ec-ba3f-50f4872bc34f · outbound

This paper cites A diffusion-based framework for multi-class anomaly detection.

ONER: Online Experience Replay for Incremental Anomaly Detection A diffusion-based framework for multi-class anomaly detection

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:28.161067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88cdb4f3-2211-4365-b421-1a62cbadff3a · outbound

This paper cites Winclip: Zero- /few-shot anomaly classification and segmentation.

ONER: Online Experience Replay for Incremental Anomaly Detection Winclip: Zero- /few-shot anomaly classification and segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:28.147321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c797bcf6-cf6a-42b3-a385-febaa4855bfc · outbound

This paper cites Fapm: Fast adaptive patch memory for real-time industrial anomaly detection.

ONER: Online Experience Replay for Incremental Anomaly Detection Fapm: Fast adaptive patch memory for real-time industrial anomaly detection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:28.079224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f91ebe6c-6657-4ef5-ac59-aa18a0d4c956 · outbound

This paper cites Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation.

ONER: Online Experience Replay for Incremental Anomaly Detection Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:03:25.643451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89441bff-7485-4a69-b6d6-4deaadec0377 · outbound

This paper cites Segment any- thing.

ONER: Online Experience Replay for Incremental Anomaly Detection Segment any- thing

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T22:03:24.109307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4bb445b-6573-48ba-a06c-06f3e0c7b1d6 · outbound

This paper cites Cutpaste: Self-supervised learning for anomaly de- tection and localization.

ONER: Online Experience Replay for Incremental Anomaly Detection Cutpaste: Self-supervised learning for anomaly de- tection and localization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.906353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3a7cebb6-d225-416a-936b-5abebcf4a719 · outbound

This paper cites Cutpaste: Self-supervised learning for anomaly de- tection and localization.

ONER: Online Experience Replay for Incremental Anomaly Detection Cutpaste: Self-supervised learning for anomaly de- tection and localization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.841984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0deca54c-7e86-4fe9-9b75-e2b29fab9f44 · outbound

This paper cites Towards continual adaptation in industrial anomaly detection.

ONER: Online Experience Replay for Incremental Anomaly Detection Towards continual adaptation in industrial anomaly detection

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.827674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7afd25de-aab8-4c0c-aa1e-7332fe0af41e · outbound

This paper cites Towards continual adaptation in industrial anomaly detection.

ONER: Online Experience Replay for Incremental Anomaly Detection Towards continual adaptation in industrial anomaly detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.757499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 890d15fe-57bb-4bb4-81e3-59ff252a2b83 · outbound

This paper cites A new proof of the geometric Sobolev embedding for generalised Kolmogorov operators.

ONER: Online Experience Replay for Incremental Anomaly Detection A new proof of the geometric Sobolev embedding for generalised Kolmogorov operators

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T22:03:25.562963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e8bbe68f-eb2d-44b5-a9df-64cb6552adab · outbound

This paper cites Fade: Few-shot/zero-shot anomaly detection engine using large vision-language model.

ONER: Online Experience Replay for Incremental Anomaly Detection Fade: Few-shot/zero-shot anomaly detection engine using large vision-language model

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.663340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2367cc2e-99a2-49ce-ab2b-e3150ac538d6 · outbound

This paper cites Fade: Few-shot/zero-shot anomaly detection engine using large vision-language model.

ONER: Online Experience Replay for Incremental Anomaly Detection Fade: Few-shot/zero-shot anomaly detection engine using large vision-language model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.609176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45f51a7d-1abd-4ea7-8e12-d89248f0095b · outbound

This paper cites Omni-frequency channel- selection representations for unsupervised anomaly detec- tion.

ONER: Online Experience Replay for Incremental Anomaly Detection Omni-frequency channel- selection representations for unsupervised anomaly detec- tion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.595971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c273360d-a478-4f40-a0d7-13e19b752f4a · outbound

This paper cites Unsupervised continual anomaly detection with contrastively-learned prompt.

ONER: Online Experience Replay for Incremental Anomaly Detection Unsupervised continual anomaly detection with contrastively-learned prompt

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.560259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12e49a88-e89c-403d-a9e5-f4328d45c844 · outbound

This paper cites Unsupervised continual anomaly detection with contrastively-learned prompt.

ONER: Online Experience Replay for Incremental Anomaly Detection Unsupervised continual anomaly detection with contrastively-learned prompt

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.481258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3163a11f-1275-4a32-b296-aab1d5f87bba · outbound

This paper cites Deep indus- trial image anomaly detection: A survey.

ONER: Online Experience Replay for Incremental Anomaly Detection Deep indus- trial image anomaly detection: A survey

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.467900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa617c01-b66f-4079-b68d-e2b1666154eb · outbound

This paper cites A linearly-convergent stochastic l-bfgs algorithm.

ONER: Online Experience Replay for Incremental Anomaly Detection A linearly-convergent stochastic l-bfgs algorithm

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.452360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 625a3467-97a7-4eb1-b7c1-311d27c5ac19 · outbound

This paper cites Vcp-clip: A visual context prompting model for zero-shot anomaly segmenta- tion.

ONER: Online Experience Replay for Incremental Anomaly Detection Vcp-clip: A visual context prompting model for zero-shot anomaly segmenta- tion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.333402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 35157701-c7f7-4b1c-a5e1-739a0c35236a · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

ONER: Online Experience Replay for Incremental Anomaly Detection Learning transferable visual models from natural language supervi- sion

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T22:03:24.521192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5af84947-8faa-4fc5-9e75-76850699e772 · outbound

This paper cites PANDA: adapting pretrained features for anomaly detection and segmentation.

ONER: Online Experience Replay for Incremental Anomaly Detection PANDA: adapting pretrained features for anomaly detection and segmentation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.228892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91a89677-b289-42e3-89ea-25333cf055ef · outbound

This paper cites Panda: Adapting pretrained features for anomaly detection and segmentation.

ONER: Online Experience Replay for Incremental Anomaly Detection Panda: Adapting pretrained features for anomaly detection and segmentation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.187937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9fe36a1c-7199-4947-872d-dcde502c3529 · outbound

This paper cites Experience replay for continual learning.

ONER: Online Experience Replay for Incremental Anomaly Detection Experience replay for continual learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:27.097779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7c2653ea-6e24-466f-8643-7737405d458c · outbound

This paper cites Towards to- tal recall in industrial anomaly detection.

ONER: Online Experience Replay for Incremental Anomaly Detection Towards to- tal recall in industrial anomaly detection

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.994111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a21a8be6-fad8-4366-81fc-3a940a41f2b5 · outbound

This paper cites Towards to- tal recall in industrial anomaly detection.

ONER: Online Experience Replay for Incremental Anomaly Detection Towards to- tal recall in industrial anomaly detection

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.980031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c00f7bc3-f38c-409b-9d18-a503305df3ec · outbound

This paper cites Same same but differnet: Semi-supervised defect detection with normalizing flows.

ONER: Online Experience Replay for Incremental Anomaly Detection Same same but differnet: Semi-supervised defect detection with normalizing flows

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.965721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 659d5c3a-6c17-4a41-a7f5-0da9eb40ac52 · outbound

This paper cites Fully convolutional cross-scale-flows for image- based defect detection.

ONER: Online Experience Replay for Incremental Anomaly Detection Fully convolutional cross-scale-flows for image- based defect detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.795554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation adeb5b33-a9b9-4970-b8cc-0093b248a51d · outbound

This paper cites Rohban, and Hamid R.

ONER: Online Experience Replay for Incremental Anomaly Detection Rohban, and Hamid R

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.772152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd90f28a-7256-4575-baf9-aecbe3f64cb3 · outbound

This paper cites Coda-prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning.

ONER: Online Experience Replay for Incremental Anomaly Detection Coda-prompt: Contin- ual decomposed attention-based prompting for rehearsal-free continual learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.706395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01f6c75f-c705-4d6c-9a9a-a70b43249da1 · outbound

This paper cites AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning.

ONER: Online Experience Replay for Incremental Anomaly Detection AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:03:25.512924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27211f56-9e5c-40fa-a27d-63fcb4d7a960 · outbound

This paper cites An incremental unified framework for small defect inspection.

ONER: Online Experience Replay for Incremental Anomaly Detection An incremental unified framework for small defect inspection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.606469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 78ebcfdd-fd9a-4943-858a-d9413dbb1cea · outbound

This paper cites Analysis and design of an adaptive minimum reasonable inventory con- trol system.

ONER: Online Experience Replay for Incremental Anomaly Detection Analysis and design of an adaptive minimum reasonable inventory con- trol system

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.549489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ce36407-ecad-4dfd-9acb-50d0706afda5 · outbound

This paper cites Student-teacher feature pyramid matching for anomaly de- tection.

ONER: Online Experience Replay for Incremental Anomaly Detection Student-teacher feature pyramid matching for anomaly de- tection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.536673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa077707-7a33-477e-8002-8ed785fc9278 · outbound

This paper cites Dualprompt: Complementary prompting for rehearsal-free continual learning.

ONER: Online Experience Replay for Incremental Anomaly Detection Dualprompt: Complementary prompting for rehearsal-free continual learning

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.425911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d80386e3-a462-45ef-b91b-4234247939ad · outbound

This paper cites Learning to prompt for continual learning.

ONER: Online Experience Replay for Incremental Anomaly Detection Learning to prompt for continual learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T22:03:24.947158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d58e58c-bace-40a6-a99e-4faa523868ed · outbound

This paper cites Schmon, and Chris G.

ONER: Online Experience Replay for Incremental Anomaly Detection Schmon, and Chris G

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.297576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c28b00e6-6773-402e-b33a-2944ae2d550f · outbound

This paper cites Mitigate catastrophic remembering via con- tinual knowledge purification for noisy lifelong person re- identification.

ONER: Online Experience Replay for Incremental Anomaly Detection Mitigate catastrophic remembering via con- tinual knowledge purification for noisy lifelong person re- identification

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.281944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e6af163-2c18-4978-a0c9-f6f38eb82bb4 · outbound

This paper cites CAINNFlow: Convolutional block Attention modules and Invertible Neural Networks Flow for anomaly detection and localization tasks.

ONER: Online Experience Replay for Incremental Anomaly Detection CAINNFlow: Convolutional block Attention modules and Invertible Neural Networks Flow for anomaly detection and localization tasks

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:03:25.408769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3e4f00be-3658-4b04-ac2c-792e5c22b3b3 · outbound

This paper cites Learning semantic context from nor- mal samples for unsupervised anomaly detection.

ONER: Online Experience Replay for Incremental Anomaly Detection Learning semantic context from nor- mal samples for unsupervised anomaly detection

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.267777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f82f0d0c-a444-4212-a9a6-6efc1936768d · outbound

This paper cites Memseg: A semi- supervised method for image surface defect detection using differences and commonalities.

ONER: Online Experience Replay for Incremental Anomaly Detection Memseg: A semi- supervised method for image surface defect detection using differences and commonalities

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.220411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f361728-2743-4368-bf52-b115efa68c2b · outbound

This paper cites Glad: Towards better reconstruction with global and local adaptive diffusion mod- els for unsupervised anomaly detection.

ONER: Online Experience Replay for Incremental Anomaly Detection Glad: Towards better reconstruction with global and local adaptive diffusion mod- els for unsupervised anomaly detection

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.147062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11a8383f-3790-4b4f-b416-3185134b3228 · outbound

This paper cites Explicit boundary guided semi-push- pull contrastive learning for supervised anomaly detection.

ONER: Online Experience Replay for Incremental Anomaly Detection Explicit boundary guided semi-push- pull contrastive learning for supervised anomaly detection

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.133038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5da61d03-1502-4c2d-9fb4-825dacb56c1e · outbound

This paper cites Patch SVDD: patch-level SVDD for anomaly detection and segmentation.

ONER: Online Experience Replay for Incremental Anomaly Detection Patch SVDD: patch-level SVDD for anomaly detection and segmentation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:26.078724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 70e051aa-8d12-4cbe-9176-825b01fd3c19 · outbound

This paper cites Dræm - A discriminatively trained reconstruction embedding for sur- face anomaly detection.

ONER: Online Experience Replay for Incremental Anomaly Detection Dræm - A discriminatively trained reconstruction embedding for sur- face anomaly detection

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:25.918723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9670f875-20e1-456b-aca3-e17bbfd9f8bd · outbound

This paper cites Draem- a discriminatively trained reconstruction embedding for sur- face anomaly detection.

ONER: Online Experience Replay for Incremental Anomaly Detection Draem- a discriminatively trained reconstruction embedding for sur- face anomaly detection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:25.856358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7c45739-bc4a-457f-b4af-84e3792d6c57 · outbound

This paper cites Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection.

ONER: Online Experience Replay for Incremental Anomaly Detection Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:25.827894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5e5c2d3-f89d-4258-9c42-3cee153fa0f9 · outbound

This paper cites Spot-the-difference self-supervised pre- training for anomaly detection and segmentation.

ONER: Online Experience Replay for Incremental Anomaly Detection Spot-the-difference self-supervised pre- training for anomaly detection and segmentation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:03:25.804555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8cc674c7-5225-4d4e-b9d0-77ecf5a43ac2 · outbound

This paper cites Segment Any Anomaly without Training via Hybrid Prompt Regularization.

ONER: Online Experience Replay for Incremental Anomaly Detection Segment Any Anomaly without Training via Hybrid Prompt Regularization

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T22:03:23.793173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a771b963-15ea-4d6b-9f44-968ce734eaa3 · inbound

MoViAD: A Modular Library for Visual Anomaly Detection cites this paper.

MoViAD: A Modular Library for Visual Anomaly Detection ONER: Online Experience Replay for Incremental Anomaly Detection

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:58:35.056346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.