Paper Citation Record · LEDGER

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 5 inbound Pith citation observations for arXiv:2505.06603.

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

pith.paper-citation-record.v1
2505.06603 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:42:38.248718Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:47:37.258947Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.970966Z

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy37
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4dcc8758-1e2e-42ca-b246-84d6de58c7d4 · outbound

This paper cites Memory aware synapses: Learning what (not) to forget.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Memory aware synapses: Learning what (not) to forget

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.832070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5bee3ef1-bd19-44d9-b328-5efd71f01b9b · outbound

This paper cites Disentangling writer and character styles for hand- writing generation.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Disentangling writer and character styles for hand- writing generation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.780103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation afefde0a-40b3-4144-8d1c-27656faaf2f7 · outbound

This paper cites Ddgr: Con- tinual learning with deep diffusion-based generative re- play.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Ddgr: Con- tinual learning with deep diffusion-based generative re- play

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.742894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bafae42c-eb15-43a7-b62f-0026e9d9b315 · outbound

This paper cites MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T22:42:38.052484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 651efc8d-7cc8-4548-a81d-65bb87ac058a · outbound

This paper cites Learn- ing unified reference representation for unsupervised multi-class anomaly detection.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Learn- ing unified reference representation for unsupervised multi-class anomaly detection

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.730980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a4439486-d029-4716-8219-a9516a1800c6 · outbound

This paper cites En- hancing table structure recognition via bounding box guid- ance.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection En- hancing table structure recognition via bounding box guid- ance

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.708649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a04c6e2e-85ea-47ca-9593-cb1d89d749cb · outbound

This paper cites Anomalydiffusion: Few-shot anomaly image gen- eration with diffusion model.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Anomalydiffusion: Few-shot anomaly image gen- eration with diffusion model

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.697320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10c4b388-abde-4858-9367-5bc1b66f76ed · outbound

This paper cites Segment anything.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Segment anything

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.684626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a73cc475-3cc4-404d-9190-84a8a3f8d3a5 · outbound

This paper cites Overcom- ing catastrophic forgetting in neural networks.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Overcom- ing catastrophic forgetting in neural networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T22:42:38.097124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93a12998-b2e2-43a9-9eab-27be9f57b05a · outbound

This paper cites Comprehensive generative replay for task- incremental segmentation with concurrent appearance and semantic forgetting.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Comprehensive generative replay for task- incremental segmentation with concurrent appearance and semantic forgetting

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.639969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 824cc95e-8f95-4db6-985a-cee15ea6607c · outbound

This paper cites One-for-More: Continual Diffusion Model for Anomaly Detection.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection One-for-More: Continual Diffusion Model for Anomaly Detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T22:42:38.116321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46ef32b7-cf63-47cb-aee7-5d0fe5b8e2ae · outbound

This paper cites Diffusion-driven data replay: A novel approach to combat forgetting in feder- ated class continual learning.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Diffusion-driven data replay: A novel approach to combat forgetting in feder- ated class continual learning

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.626034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 33ce1710-b68c-47b8-af7f-7fc6e37f6419 · outbound

This paper cites Generative feature replay for class-incremental learning.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Generative feature replay for class-incremental learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.613336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 16521cbf-4e2e-4e87-bfaf-7cc1bb319c4d · outbound

This paper cites Packnet: Adding multiple tasks to a single net- work by iterative pruning.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Packnet: Adding multiple tasks to a single net- work by iterative pruning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.588120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 45bb14c1-6563-4663-8788-18812745ab2e · outbound

This paper cites Piggyback: Adapting a single network to multiple tasks by learning to mask weights.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Piggyback: Adapting a single network to multiple tasks by learning to mask weights

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.574675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fd86cfc0-942c-4b24-b6cb-cb35e9e98c45 · outbound

This paper cites Continual deep learning by functional regularisation of memorable past.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Continual deep learning by functional regularisation of memorable past

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.558045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a49eec6-a1b5-4779-bbb9-d86fd0a4366a · outbound

This paper cites Globally correlation-aware hard negative gener- ation.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Globally correlation-aware hard negative gener- ation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.545375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c70775e-7233-49d4-a28d-e83192cf4dc7 · outbound

This paper cites icarl: Incremental classifier and representation learning.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection icarl: Incremental classifier and representation learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.532154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84e0ac25-52ed-4097-8f98-74ee3635dac2 · outbound

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

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Panda: Adapting pretrained features for anomaly detection and segmentation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.519317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32c7537f-e3b5-43ba-9b2e-2e47d6f90f32 · outbound

This paper cites Scalable recollec- tions for continual lifelong learning.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Scalable recollec- tions for continual lifelong learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.505867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a9aa9e0-b780-4d45-a460-665eadf51fd9 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection High-resolution image synthesis with latent diffusion models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T22:42:38.175511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed661bef-35a1-46f2-a5a5-9b3a73825f0f · outbound

This paper cites Towards total recall in industrial anomaly detec- tion.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Towards total recall in industrial anomaly detec- tion

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.486034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f16c9a4a-ffb8-470f-bf00-6a562d9d6eef · outbound

This paper cites Continual learning with deep gener- ative replay.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Continual learning with deep gener- ative replay

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.474504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a22421b-857b-4ee3-b8cb-0144f5785c5c · outbound

This paper cites An incre- mental unified framework for small defect inspection.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection An incre- mental unified framework for small defect inspection

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.461312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4beaa783-970a-4a13-9ef9-6780007ce2dc · outbound

This paper cites Ordisco: Ef- fective and efficient usage of incremental unlabeled data for semi-supervised continual learning.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Ordisco: Ef- fective and efficient usage of incremental unlabeled data for semi-supervised continual learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.450205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a0b038ca-97cb-4277-9391-3cd13f42994d · outbound

This paper cites Unsu- pervised anomaly detection via masked diffusion posterior sampling.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Unsu- pervised anomaly detection via masked diffusion posterior sampling

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.439011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 56c16a00-d512-478e-acc5-cd968e913095 · outbound

This paper cites Defect spectrum: a granular look of large-scale de- fect datasets with rich semantics.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Defect spectrum: a granular look of large-scale de- fect datasets with rich semantics

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.423671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86b0b182-3cd1-4c91-b00c-84984ca34c62 · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Lifelong Learning with Dynamically Expandable Networks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T22:42:38.216064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 400511ab-cc32-4ed3-9d87-24e0f33cb55b · outbound

This paper cites A unified model for multi-class anomaly detection.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection A unified model for multi-class anomaly detection

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.409321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 07a74a90-80be-440e-b2f7-69773fc3ddd1 · outbound

This paper cites Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T22:42:38.232373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b902ef8a-1363-48f2-9fbb-192dcb1e64a7 · outbound

This paper cites Anomaly detection with robust deep autoen- coders.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Anomaly detection with robust deep autoen- coders

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.392261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 613b0c06-4d26-4adc-b7e9-5850c529da5e · outbound

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

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Spot-the-difference self-supervised pre-training for anomaly detection and segmentation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.375236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 01664b5e-4755-4e6b-a409-6a74bef66aae · outbound

This paper cites Clip-fsac: Boosting clip for few-shot anomaly classifica- tion with synthetic anomalies.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Clip-fsac: Boosting clip for few-shot anomaly classifica- tion with synthetic anomalies

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.356929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dad14b52-ca62-4396-b8ad-f990a9fb3158 · outbound

This paper cites As shown in Figure 8, the results below show that ReplayCAD can ef- fectively generate data even when there are significant differ- ences from the pretraining domain.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection As shown in Figure 8, the results below show that ReplayCAD can ef- fectively generate data even when there are significant differ- ences from the pretraining domain

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.343064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b08bed65-df77-455e-b6a9-40e559dc1d47 · outbound

This paper cites Cutpaste: Self-supervised learn- ing for anomaly detection and localization.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Cutpaste: Self-supervised learn- ing for anomaly detection and localization

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.662770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3f287518-3b94-457a-b9f4-c5b81428491b · outbound

This paper cites The medical segmentation decathlon.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection The medical segmentation decathlon

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.819421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0b75edfe-7434-48ff-bb6f-9545674343cc · outbound

This paper cites Rie- mannian walk for incremental learning: Understanding forgetting and intransigence.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Rie- mannian walk for incremental learning: Understanding forgetting and intransigence

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.793522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8633bbaa-6d88-4440-be21-3f1090eeaffb · outbound

This paper cites Simplenet: A simple network for im- age anomaly detection and localization.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Simplenet: A simple network for im- age anomaly detection and localization

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.601108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a1d313e8-c22d-4981-9905-5a5f0431db3d · outbound

This paper cites Towards continual adaptation in industrial anomaly detection.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Towards continual adaptation in industrial anomaly detection

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.651782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f7f5a2da-deb8-408e-8cad-457d4d3d30f1 · outbound

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

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Mvtec ad–a com- prehensive real-world dataset for unsupervised anomaly detection

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.805709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5249b092-6701-4348-a257-7ca06d28750a · outbound

This paper cites One-dm: One- shot diffusion mimicker for handwritten text generation.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection One-dm: One- shot diffusion mimicker for handwritten text generation

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.767841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 50d75d42-7834-4423-99ca-f349eef120e7 · outbound

This paper cites Anomaly detection via reverse distillation from one-class embed- ding.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection Anomaly detection via reverse distillation from one-class embed- ding

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.754703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7aea44e-1738-45e6-bfe9-f4310562b1ba · outbound

This paper cites The kits21 challenge: Automatic segmentation of kidneys, renal tu- mors, and renal cysts in corticomedullary-phase ct,.

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection The kits21 challenge: Automatic segmentation of kidneys, renal tu- mors, and renal cysts in corticomedullary-phase ct,

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:42:38.719219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation f26a431a-f689-4f7a-9ddb-b5d06810b537 · inbound

C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor cites this paper.

C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T05:47:37.258947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5c8729a-c9e8-4012-aaf5-549cb9884659 · inbound

Normality-Preserving Continual Industrial Anomaly Detection via Orthogonal LoRA Banks cites this paper.

Normality-Preserving Continual Industrial Anomaly Detection via Orthogonal LoRA Banks ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:15.686477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86de6881-7cf7-4ee5-a36f-056cf8115f8b · inbound

DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly Detection cites this paper.

DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly Detection ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:52.972450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e8b1cdb-5824-4555-8ea4-7a36e08bf2b4 · inbound

DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly Detection cites this paper.

DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly Detection ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T11:56:43.996418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 260feff0-0ba7-4d62-9df6-1cfdb2ece4d9 · inbound

Towards Principled Continual Anomaly Detection: A Systematic Framework and Benchmark Scenarios cites this paper.

Towards Principled Continual Anomaly Detection: A Systematic Framework and Benchmark Scenarios ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T09:22:42.372529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.