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Paper Citation Record · LEDGER

A Survey on Diffusion Models for Anomaly Detection

As of 20 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 5 inbound Pith citation observations for arXiv:2501.11430.

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

pith.paper-citation-record.v1
2501.11430 v5

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:19:16.081205Z

measured 50 of 50 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:12:04.207892Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:53:29.848553Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact2
  • verified fuzzy37
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ff1a549-6bb7-412f-a9b4-874739723078 · outbound

This paper cites Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models.

A Survey on Diffusion Models for Anomaly Detection Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 75c01d91-cc5e-489c-a498-0c0180d836ae · outbound

This paper cites Denoising diffusion-augmented hybrid video anomaly detection via reconstructing noised frames.

A Survey on Diffusion Models for Anomaly Detection Denoising diffusion-augmented hybrid video anomaly detection via reconstructing noised frames

Reference 4

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Observation fcdfaf54-ef38-4000-bcc1-77affa28b429 · outbound

This paper cites Perception prioritized training of diffusion models.

A Survey on Diffusion Models for Anomaly Detection Perception prioritized training of diffusion models

Reference 5

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Observation f8fb512d-ab4f-4091-a57c-2dbfe342d232 · outbound

This paper cites A high-quality robust diffusion framework for cor- rupted dataset,.

A Survey on Diffusion Models for Anomaly Detection A high-quality robust diffusion framework for cor- rupted dataset,

Reference 7

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Observation d0863f9c-53ec-450e-8ac7-effc6201c21f · outbound

This paper cites Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation.

A Survey on Diffusion Models for Anomaly Detection Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation

Reference 8

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Observation bbaf6414-46cb-4b64-ac7a-6b64717d6bc1 · outbound

This paper cites Masked Diffusion with Task-awareness for Procedure Planning in Instructional Videos.

A Survey on Diffusion Models for Anomaly Detection Masked Diffusion with Task-awareness for Procedure Planning in Instructional Videos

Reference 9

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Observation 49ba0fff-190a-4a56-9606-3138485d6ca0 · outbound

This paper cites Multimodal motion conditioned diffusion model for skeleton-based video anomaly detection.

A Survey on Diffusion Models for Anomaly Detection Multimodal motion conditioned diffusion model for skeleton-based video anomaly detection

Reference 10

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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.

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Observation f06af8d9-2c27-4d52-9bea-d775c68e8835 · outbound

This paper cites Diffusion models for counterfactual generation and anomaly detection in brain images.

A Survey on Diffusion Models for Anomaly Detection Diffusion models for counterfactual generation and anomaly detection in brain images

Reference 11

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Observation c9f0d4c3-05d0-4f93-8b0b-63edf5a6ca39 · outbound

This paper cites Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H.

A Survey on Diffusion Models for Anomaly Detection Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H

Reference 12

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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.

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Observation 266189c4-0357-4191-be57-a4ad9f060370 · outbound

This paper cites An- odode: Anomaly detection with diffusion ode,.

A Survey on Diffusion Models for Anomaly Detection An- odode: Anomaly detection with diffusion ode,

Reference 13

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Observation 03391e0b-19bb-48f8-893b-b9fb497670ed · outbound

This paper cites AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion.

A Survey on Diffusion Models for Anomaly Detection AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion

Reference 14

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Source-reported events for the cited work

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Observation 8d86f21c-18f9-4bf6-8049-a08f7fe1be1e · outbound

This paper cites Unsupervised anomaly detection in medical images using masked diffusion model.

A Survey on Diffusion Models for Anomaly Detection Unsupervised anomaly detection in medical images using masked diffusion model

Reference 15

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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.

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Observation fa900fe0-98c3-4f3a-8dba-98ae58b7a0e2 · outbound

This paper cites Webb, Irwin King, and Shirui Pan.

A Survey on Diffusion Models for Anomaly Detection Webb, Irwin King, and Shirui Pan

Reference 16

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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.

source=pdf_text observed=2026-08-10T18:19:15.884298Z digest=sha256:48df4065224597ad0ef00f4534f11bcfeae18210029e296dc6b5f9984f779889

Observation aaea1ad4-6a62-4141-be26-8f26aaa04734 · outbound

This paper cites Diffender: Diffusion-based adversarial defense against patch attacks.

A Survey on Diffusion Models for Anomaly Detection Diffender: Diffusion-based adversarial defense against patch attacks

Reference 17

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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.

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Observation 0e7098cb-9a53-4f83-b7de-2e974dc5a2d6 · outbound

This paper cites Self-supervised diffusion model for anomaly segmentation in medical imaging.

A Survey on Diffusion Models for Anomaly Detection Self-supervised diffusion model for anomaly segmentation in medical imaging

Reference 19

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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.

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Observation 0f68ead0-edca-474a-b7e8-61c3feb44e10 · outbound

This paper cites Perfect density models cannot guarantee anomaly detec- tion.

A Survey on Diffusion Models for Anomaly Detection Perfect density models cannot guarantee anomaly detec- tion

Reference 20

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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.

source=pdf_text observed=2026-08-10T18:19:15.912765Z digest=sha256:cf97183626941d723cb61a5b97016bf1b37760f9325c38ed9937377a1c61b580

Observation c76ec758-a8ba-4a56-a9be-995ab5776bb9 · outbound

This paper cites Fast non-markovian diffusion model for weakly super- vised anomaly detection in brain mr images.

A Survey on Diffusion Models for Anomaly Detection Fast non-markovian diffusion model for weakly super- vised anomaly detection in brain mr images

Reference 21

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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.

source=pdf_text observed=2026-08-10T18:19:15.918662Z digest=sha256:07bc33db540d01451920f25327e43b5002b6bd574da8e093a206a620d510bb05

Observation 6ae4a849-1e36-4246-9af2-e02d57aabe8f · outbound

This paper cites Self-supervised enhanced denoising diffusion for anomaly detection.

A Survey on Diffusion Models for Anomaly Detection Self-supervised enhanced denoising diffusion for anomaly detection

Reference 22

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Source-reported events for the cited work

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Observation 0c76a802-3823-4940-9fae-873b08cfa3b5 · outbound

This paper cites On diffusion modeling for anomaly detection.

A Survey on Diffusion Models for Anomaly Detection On diffusion modeling for anomaly detection

Reference 23

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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.

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Observation cf156061-506f-4725-8cc5-2f7f51c82685 · outbound

This paper cites A comprehensive survey on knowledge distillation of diffusion models,.

A Survey on Diffusion Models for Anomaly Detection A comprehensive survey on knowledge distillation of diffusion models,

Reference 24

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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.

source=pdf_text observed=2026-08-10T18:19:15.943425Z digest=sha256:878dfc01be1d34a6bc06ec2bd55f45dd7a4f84de83ae82692864b39e7af72826

Observation b6ada9df-e605-4870-9fc7-b66516889194 · outbound

This paper cites Ensembled cold-diffusion restorations for unsupervised anomaly detection.

A Survey on Diffusion Models for Anomaly Detection Ensembled cold-diffusion restorations for unsupervised anomaly detection

Reference 25

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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.

source=pdf_text observed=2026-08-10T18:19:15.947874Z digest=sha256:0cc5b98450fe05efd2f8fcf4d76bd80e8469b988c98d4b20f96fdb23e59dc5a2

Observation 37200a7a-d956-4e42-a697-973a9b27a1e8 · outbound

This paper cites Deep learning for anomaly detection: A review.

A Survey on Diffusion Models for Anomaly Detection Deep learning for anomaly detection: A review

Reference 26

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

source=pdf_text observed=2026-08-10T18:19:15.953718Z digest=sha256:9127d511676b35f9cbe5193c6f641827148869801468916bbbdd76a6d36d9ad0

Observation 8cb60b64-e373-4720-99b9-cf4d9db6ea9e · outbound

This paper cites Surface anomaly detection and localization with diffusion-based reconstruction.

A Survey on Diffusion Models for Anomaly Detection Surface anomaly detection and localization with diffusion-based reconstruction

Reference 28

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

source=pdf_text observed=2026-08-10T18:19:15.966307Z digest=sha256:180221f99880cfcba86891323d2c298f82f28f43b7de25af88fb0e8931d17a7d

Observation 878fe8cc-820c-4290-8f50-00bbe12dc7e8 · outbound

This paper cites Anomaly detection for telemetry time series using a denoising diffusion probabilistic model.

A Survey on Diffusion Models for Anomaly Detection Anomaly detection for telemetry time series using a denoising diffusion probabilistic model

Reference 29

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

source=pdf_text observed=2026-08-10T18:19:15.971605Z digest=sha256:e9cdcb27060d6166a8a35470d8ee9c7733b78b8b9b6d360162c05e36945f8f1a

Observation 3599a854-8bce-4c23-ab32-f4d2669e6391 · outbound

This paper cites Dynamic addition of noise in a diffusion model for anomaly detection.

A Survey on Diffusion Models for Anomaly Detection Dynamic addition of noise in a diffusion model for anomaly detection

Reference 30

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raw_fallback, observed 2026-08-10T18:19:16.577190Z

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.

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Observation 3bbca3ff-cde3-4300-be03-07a050e6a14e · outbound

This paper cites The Hidden Linear Structure in Score-Based Models and its Application.

A Survey on Diffusion Models for Anomaly Detection The Hidden Linear Structure in Score-Based Models and its Application

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:19:15.984934Z digest=sha256:5ea71e0f1fe756aa69a18d153ab381f50a3393562afe79791e58080d5b9f39d5

Observation 37690199-70ef-4cb7-af97-2630dcd116f8 · outbound

This paper cites Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling.

A Survey on Diffusion Models for Anomaly Detection Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling

Reference 32

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local_arxiv, observed 2026-08-10T18:19:16.194479Z

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.

source=pdf_text observed=2026-08-10T18:19:15.990678Z digest=sha256:6845303a657aa0e198496aa6faf36bdfd71ef540cf8a1fa6d6ac7156c9ca22bf

Observation 20ab9fa3-35ae-46b2-9e71-a89bf3b9fdec · outbound

This paper cites Schmon, and Chris G.

A Survey on Diffusion Models for Anomaly Detection Schmon, and Chris G

Reference 33

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raw_fallback, observed 2026-08-10T18:19:16.553456Z

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.

source=pdf_text observed=2026-08-10T18:19:15.999069Z digest=sha256:1506e58b809ef24b9470694784b163d6d4be26b1bc017ce177715a0f635992f8

Observation 17b52fa8-03ac-4263-945d-9c03c66cf9e7 · outbound

This paper cites Imputation-based time-series anomaly detection with conditional weight- incremental diffusion models.

A Survey on Diffusion Models for Anomaly Detection Imputation-based time-series anomaly detection with conditional weight- incremental diffusion models

Reference 34

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raw_fallback, observed 2026-08-10T18:19:16.530477Z

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.

source=pdf_text observed=2026-08-10T18:19:16.007971Z digest=sha256:ba98543e24f5b4a548f655e6a544a0539cbf971dfd58d40de6c69be77ebb5db9

Observation c0fb982e-7691-4e2b-99a3-8353ba138838 · outbound

This paper cites Unsupervised industrial anomaly detection with diffusion models.

A Survey on Diffusion Models for Anomaly Detection Unsupervised industrial anomaly detection with diffusion models

Reference 35

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raw_fallback, observed 2026-08-10T18:19:16.507235Z

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.

source=pdf_text observed=2026-08-10T18:19:16.013911Z digest=sha256:124cfed7625bba2a98037ad621572d206432d8f519d6a924e49aa2e04fd7cf81

Observation 3ba3429f-d939-4d3d-bcad-72f5568eccfa · outbound

This paper cites Feature prediction diffusion model for video anomaly detection.

A Survey on Diffusion Models for Anomaly Detection Feature prediction diffusion model for video anomaly detection

Reference 36

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raw_fallback, observed 2026-08-10T18:19:16.484891Z

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.

source=pdf_text observed=2026-08-10T18:19:16.019388Z digest=sha256:9d1157ea40856007ca3be3b057da06837ce9c8729ae5ff9ff806564f4bb831f9

Observation 3bcd88d0-4cdf-4003-888a-7239467dd324 · outbound

This paper cites Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models.

A Survey on Diffusion Models for Anomaly Detection Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:19:16.026427Z digest=sha256:344adfd433a41d9095ec977f075a8672e8c97dfccf3f4742cddc5bce50af3608

Observation 5c1ea514-5df6-455d-aec6-2aff875cd5c2 · outbound

This paper cites Glad: To- wards better reconstruction with global and local adaptive diffusion models for unsupervised anomaly detection.

A Survey on Diffusion Models for Anomaly Detection Glad: To- wards better reconstruction with global and local adaptive diffusion models for unsupervised anomaly detection

Reference 38

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raw_fallback, observed 2026-08-10T18:19:16.463912Z

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.

source=pdf_text observed=2026-08-10T18:19:16.032678Z digest=sha256:4b6abf1020ec8190ed84c6a3066ce88380b881db0213b582a821faf1e1b772ec

Observation 7b326f00-0c11-434a-aa49-52ab9c8d76d5 · outbound

This paper cites Energy-based models for anomaly detection: A manifold diffusion recovery ap- proach.

A Survey on Diffusion Models for Anomaly Detection Energy-based models for anomaly detection: A manifold diffusion recovery ap- proach

Reference 39

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raw_fallback, observed 2026-08-10T18:19:16.440653Z

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.

source=pdf_text observed=2026-08-10T18:19:16.038371Z digest=sha256:40b3196a009463e4b57d03f20ba6730bc9d515e037bb8908457122835b40a649

Observation 08450304-d7e1-4ada-8df5-4ebbfdffe6bb · outbound

This paper cites Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning.

A Survey on Diffusion Models for Anomaly Detection Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning

Reference 40

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local_arxiv, observed 2026-08-10T18:19:16.135804Z

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.

source=pdf_text observed=2026-08-10T18:19:16.044720Z digest=sha256:241f9c75e65455dea944ca9625a15bf24b767f8c4efd9fbd430155b80029fc20

Observation 67922b48-7b0c-452a-a96e-8e7b03d96029 · outbound

This paper cites Analyzing neural network-based generative diffu- sion models through convex optimization,.

A Survey on Diffusion Models for Anomaly Detection Analyzing neural network-based generative diffu- sion models through convex optimization,

Reference 41

Resolution
verified fuzzy
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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.

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Observation 5e9a6b2b-54a1-4eec-b029-63c635fbe3fa · outbound

This paper cites Diffusionad: Norm-guided one-step denoising diffusion for anomaly detection,.

A Survey on Diffusion Models for Anomaly Detection Diffusionad: Norm-guided one-step denoising diffusion for anomaly detection,

Reference 42

Resolution
verified fuzzy
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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.

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Observation 08bc31fd-a9c2-413c-9cb3-db871eb3e617 · outbound

This paper cites Safeguarding sustainable cities: Unsuper- vised video anomaly detection through diffusion-based la- tent pattern learning.

A Survey on Diffusion Models for Anomaly Detection Safeguarding sustainable cities: Unsuper- vised video anomaly detection through diffusion-based la- tent pattern learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:19:16.375720Z

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.

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Observation 22c92859-08ba-4d33-abd8-88b5633c7362 · outbound

This paper cites Flow-guided diffusion autoencoder for unsupervised video anomaly detection.

A Survey on Diffusion Models for Anomaly Detection Flow-guided diffusion autoencoder for unsupervised video anomaly detection

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:19:16.352266Z

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.

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Observation 3ff92e8d-bb94-41cf-8241-503d35d2e0c4 · outbound

This paper cites Unsupervised diffusion based anomaly detection for time series.

A Survey on Diffusion Models for Anomaly Detection Unsupervised diffusion based anomaly detection for time series

Reference 45

Resolution
verified fuzzy
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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.

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Observation 4972d3c4-f360-48e8-a064-efd50b0be126 · outbound

This paper cites Progressive distillation for fast sampling of diffusion mod- els.

A Survey on Diffusion Models for Anomaly Detection Progressive distillation for fast sampling of diffusion mod- els

Reference 2021

Resolution
verified fuzzy
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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.

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Observation ce1bf651-c2b7-426e-a055-14368fa38853 · outbound

This paper cites Elucidating the solution space of ex- tended reverse-time sde for diffusion models,.

A Survey on Diffusion Models for Anomaly Detection Elucidating the solution space of ex- tended reverse-time sde for diffusion models,

Reference 2022

Resolution
verified fuzzy
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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.

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Observation ba9cfd48-71c5-4d19-878e-8d444438f46a · outbound

This paper cites Timedit: General-purpose diffusion transformers for time series foundation model.

A Survey on Diffusion Models for Anomaly Detection Timedit: General-purpose diffusion transformers for time series foundation model

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:19:17.036207Z

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.

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Observation 220be56b-80d1-4596-ad00-a68135391640 · outbound

This paper cites Exploiting multimodal latent diffusion models for accurate anomaly detection in industry 5.0.

A Survey on Diffusion Models for Anomaly Detection Exploiting multimodal latent diffusion models for accurate anomaly detection in industry 5.0

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:19:17.020494Z

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.

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Observation 3949c361-8f4e-4fc4-a818-0c150ceecd10 · outbound

This paper cites Statistical test on diffusion model-based anomaly detection by selective inference,.

A Survey on Diffusion Models for Anomaly Detection Statistical test on diffusion model-based anomaly detection by selective inference,

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:19:16.792711Z

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.

source=pdf_text observed=2026-08-10T18:19:15.898264Z digest=sha256:833a4b2f4311f1aafcedc8010cd976c17722d9ea068f746f18d2db07c829e88f

Pith citing papers

Observation 51c70ddb-6713-4ceb-b1a1-79b75b60d724 · inbound

Privacy-Preserving Video Anomaly Detection: A Survey cites this paper.

Privacy-Preserving Video Anomaly Detection: A Survey A Survey on Diffusion Models for Anomaly Detection

Reference 152

Resolution
unresolved
no resolver link, observed 2026-08-12T15:12:04.207892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 563e6f52-b077-4856-b77e-6bed7dbb041e · inbound

Is Hyperbolic Space All You Need for Medical Anomaly Detection? cites this paper.

Is Hyperbolic Space All You Need for Medical Anomaly Detection? A Survey on Diffusion Models for Anomaly Detection

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:30.362889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1f2e4d6f-bff1-4be9-88f3-df4bdecd475c · inbound

Toxicity Assessment in Preclinical Histopathology via Class-Aware Mahalanobis Distance for Known and Novel Anomalies cites this paper.

Toxicity Assessment in Preclinical Histopathology via Class-Aware Mahalanobis Distance for Known and Novel Anomalies A Survey on Diffusion Models for Anomaly Detection

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T05:32:08.253332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bcbeb3c5-5f6d-48ae-a15b-a6c0f1060a6f · inbound

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

Semantic Iterative Reconstruction: One-Shot Universal Anomaly Detection A Survey on Diffusion Models for Anomaly Detection

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:03:20.031447Z

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.

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Observation b6969f32-7bf5-46dc-9368-c161ab7e582e · inbound

Masked Diffusion Modeling for Anomaly Detection cites this paper.

Masked Diffusion Modeling for Anomaly Detection A Survey on Diffusion Models for Anomaly Detection

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:53:29.850105Z

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.

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