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Paper Citation Record · LEDGER

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection

As of 12 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2412.03044.

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

pith.paper-citation-record.v1
2412.03044 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:53:18.341661Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:34:00.714194Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T17:16:40.068532Z

Reference resolution

57 of 57 outbound references displayed

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  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a4a2db0-064d-48d9-88d9-b869f8f84602 · outbound

This paper cites Appearance-motion memory consistency network for video anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Appearance-motion memory consistency network for video anomaly detection,

Reference 1

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Source-reported events for the cited work

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Observation 8a4421fc-3699-4e2d-bec7-20a8e51309ca · outbound

This paper cites Video anomaly detection with sparse coding inspired deep neural networks,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Video anomaly detection with sparse coding inspired deep neural networks,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7af90325-63cc-4948-94da-bef694eaaea5 · outbound

This paper cites Gaussian process regression-based video anomaly detection and localization with hierar- chical feature representation,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Gaussian process regression-based video anomaly detection and localization with hierar- chical feature representation,

Reference 3

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Source-reported events for the cited work

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Observation db28239b-0355-4e7c-9fcd-9b2d37533fd9 · outbound

This paper cites Video anomaly detection with compact feature sets for online performance,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Video anomaly detection with compact feature sets for online performance,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ebc34626-af93-40bd-9d0a-3b446b282cf4 · outbound

This paper cites Detection of dynamic background due to swaying movements from motion features,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Detection of dynamic background due to swaying movements from motion features,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1f6de71a-d719-4253-9ea3-ff305a70584b · outbound

This paper cites Ubnormal: New benchmark for supervised open-set video anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Ubnormal: New benchmark for supervised open-set video anomaly detection,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 85e9c05b-4c54-4bcb-80d8-e62ecc694385 · outbound

This paper cites Learning regularity in skeleton trajectories for anomaly detection in videos,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Learning regularity in skeleton trajectories for anomaly detection in videos,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 61e6b88c-f262-49fd-b770-ca7a0ebb44d2 · outbound

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

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Multimodal motion conditioned diffusion model for skeleton-based video anomaly detection,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 49773a40-44aa-489b-8f36-996e7d7d6f9a · outbound

This paper cites Video anomaly detection via spatio- temporal pseudo-anomaly generation: A unified approach,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Video anomaly detection via spatio- temporal pseudo-anomaly generation: A unified approach,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 90b367fa-7945-4193-ad4d-fc41e4b31d6f · outbound

This paper cites Unbiased multiple instance learning for weakly supervised video anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Unbiased multiple instance learning for weakly supervised 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 2026-08-12T06:34:41.77262+00:00.

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Observation 38401079-5cd2-4a32-88eb-425f64f7f567 · outbound

This paper cites Hierarchical semantic contrast for scene-aware video anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Hierarchical semantic contrast for scene-aware video anomaly detection,

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1c54963a-298f-4d82-acae-de9f19b15054 · outbound

This paper cites A new comprehensive bench- mark for semi-supervised video anomaly detection and anticipation,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection A new comprehensive bench- mark for semi-supervised video anomaly detection and anticipation,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 08d4e0ac-174e-4e03-ad80-baae7e06776c · outbound

This paper cites Video event restoration based on keyframes for video anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Video event restoration based on keyframes for video anomaly detection,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.192374Z digest=sha256:f01a766f0917c2459224f1bdad73929eea405f94007db3e2c570339ece335c3c

Observation 8cf40eb1-a5c6-421e-acb3-efd6220bc1d6 · outbound

This paper cites Normalizing flows for human pose anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Normalizing flows for human pose anomaly detection,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.988198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2cd3e1ef-ca43-430a-bc96-4eea02932dc8 · outbound

This paper cites Skeletal video anomaly detection using deep learning: Survey, challenges, and future directions,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Skeletal video anomaly detection using deep learning: Survey, challenges, and future directions,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.198147Z digest=sha256:2f83c46434a216aada1e9f273bc44846ad62e0a9ca9abc689e06d241478e1010

Observation 8b05a496-41cb-481d-80fc-5c669b079acf · outbound

This paper cites Deep 3d human pose estimation: A review,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Deep 3d human pose estimation: A review,

Reference 16

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Source-reported events for the cited work

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Observation 2bf9187d-8406-42f8-a0d0-105b297fb3fa · outbound

This paper cites Holistic representation learning for multitask trajectory anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Holistic representation learning for multitask trajectory anomaly detection,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation cc11b564-4141-4838-b448-3389b4969424 · outbound

This paper cites Multi- timescale trajectory prediction for abnormal human activity detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Multi- timescale trajectory prediction for abnormal human activity detection,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7eb6c3d2-75c3-4e41-8725-d842553ca524 · outbound

This paper cites A kalman variational autoencoder model assisted by odometric clustering for video frame prediction and anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection A kalman variational autoencoder model assisted by odometric clustering for video frame prediction and anomaly detection,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3d3470b9-7d7c-491a-8f9f-55ceda37f87b · outbound

This paper cites Easynet: An easy network for 3d industrial anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Easynet: An easy network for 3d industrial anomaly detection,

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 8af880ab-6041-47af-bdcc-46b9d8f4502e · outbound

This paper cites Look inside for more: Internal spatial modality perception for 3d anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Look inside for more: Internal spatial modality perception for 3d anomaly detection,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e11b91b8-ca25-43ef-9371-f66c1c339f40 · outbound

This paper cites Time series anomaly detection with adversarial reconstruction net- works,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Time series anomaly detection with adversarial reconstruction net- works,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 559edd74-6044-47a1-bccd-8ef62c5d9b68 · outbound

This paper cites Toward video anomaly retrieval from video anomaly detection: New benchmarks and model,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Toward video anomaly retrieval from video anomaly detection: New benchmarks and model,

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.226339Z digest=sha256:611b48aba00f0c332910dc8c622fbaef69bac67950d1d5249f9b206779c1b543

Observation 382af316-2047-462e-9cce-0a8e97f63b68 · outbound

This paper cites Omni-frequency channel-selection representations for unsupervised anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Omni-frequency channel-selection representations for unsupervised anomaly detection,

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f60bf475-7462-4d9f-8593-bb84d836bcf4 · outbound

This paper cites Advancing video anomaly detection: A bi-directional hybrid framework for enhanced single- and multi-task approaches,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Advancing video anomaly detection: A bi-directional hybrid framework for enhanced single- and multi-task approaches,

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 714c82b7-5bb9-4f87-82d5-2fb52ec12298 · outbound

This paper cites Variational ab- normal behavior detection with motion consistency,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Variational ab- normal behavior detection with motion consistency,

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1687324f-a656-4f17-87e4-c3ad94d4a484 · outbound

This paper cites Remembering history with convolutional lstm for anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Remembering history with convolutional lstm for anomaly detection,

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0dc829cd-3332-4541-8ba7-8c051bdad7fc · outbound

This paper cites Synthetic temporal anomaly guided end-to-end video anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Synthetic temporal anomaly guided end-to-end video anomaly detection,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.838903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.244013Z digest=sha256:ee7b244d67e112a32fe1db2366fa081b51bfc941c15b746ba381f34d11506251

Observation 32aea240-f81f-4350-97f6-990452552a68 · outbound

This paper cites Learning not to reconstruct anomalies,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Learning not to reconstruct anomalies,

Reference 29

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.247328Z digest=sha256:cfb6c87c98639117021d7b500637735bd727a6e58bd5efe2d9a348d80b4c7be5

Observation 032eb112-b0b8-4cd8-ab43-1070085c0bec · outbound

This paper cites Learning temporal regularity in video sequences,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Learning temporal regularity in video sequences,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.816848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.250778Z digest=sha256:6d240ab42d914e767ea82ab0bedf5ef0b6e7be5593c7e60e72b70e95474ab973

Observation 4ce6d4de-7f30-414b-88f3-c5185289c542 · outbound

This paper cites A revisit of sparse coding based anomaly detection in stacked rnn framework,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection A revisit of sparse coding based anomaly detection in stacked rnn framework,

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.254185Z digest=sha256:0bc9ec19d7ff957f997a1b44a677d086c6cbfa166077cc467d49777155b45b0b

Observation 9751b729-dc77-4f8b-999e-d7cf9c4125a5 · outbound

This paper cites Context recovery and knowledge retrieval: A novel two-stream framework for video anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Context recovery and knowledge retrieval: A novel two-stream framework for video anomaly detection,

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.257633Z digest=sha256:e9d3210c6901f8255c67f0acd13d14645a0418877c02fbdc270c582dfadd360e

Observation fa2e95eb-3f4d-4c42-841b-9ec4c190ab42 · outbound

This paper cites Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detec- tion,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detec- tion,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.783026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.260996Z digest=sha256:bfdd85429735779880a2d3cfb2505844395247102c69b69432b0cf31cdfc4a2f

Observation eeb387c2-374b-4dd0-ab20-9b3122c67b88 · outbound

This paper cites Learning memory-guided normality for anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Learning memory-guided normality for anomaly detection,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.772751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.264406Z digest=sha256:e8389375f48c3aeec93106bd2881568cd454cea1631209bdec17c829f01f42c6

Observation 281dea3f-331f-45b3-b2a6-7fa81367063d · outbound

This paper cites A hybrid video anomaly detection framework via memory-augmented flow reconstruction and flow-guided frame prediction,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection A hybrid video anomaly detection framework via memory-augmented flow reconstruction and flow-guided frame prediction,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.761508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.268111Z digest=sha256:6385ae7946af14945097be2450561492820864dfa27dc4827f8fe3a875c9fd85

Observation 043a487f-09c8-4309-b53b-80031790575a · outbound

This paper cites USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:18.271508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:18.271508Z digest=sha256:c96600391ebd74884460cb738213491caaf238f4e1f6ba419abbca4533fae89c

Observation 6c04e60c-837b-4dd2-964b-50fdd9a9af98 · outbound

This paper cites Sopo: Text-to-motion generation using semi-online preference optimization,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Sopo: Text-to-motion generation using semi-online preference optimization,

Reference 37

Resolution
verified exact
raw_fallback, observed 2026-08-11T22:53:18.523523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.275159Z digest=sha256:3f7b678d0fd02c21a5f64fd926d4ecf126a208156a00faf07dacdf12ea4ec45b

Observation 1cdb3c2d-2695-4368-9196-deed70939afd · outbound

This paper cites Graph embedded pose clustering for anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Graph embedded pose clustering for anomaly detection,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.749668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.278676Z digest=sha256:75e7c1411591e6e3e1415a20672628c7f7963c7df989f06cba46c808c1f22ffb

Observation 9f35b510-aa3d-4e33-b5a2-ff8f91bbb53e · outbound

This paper cites Contracting skeletal kinematics for human-related video anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Contracting skeletal kinematics for human-related video anomaly detection,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.739017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.282350Z digest=sha256:d2a03e76c7a4a7056836cae3ccd949e3e8828255fe4bb2c7e38b5e847aff6d37

Observation 634df175-b2ce-4f92-8a76-d89cf7f80231 · outbound

This paper cites A hierarchical spatio-temporal graph convolutional neural network for anomaly detec- tion in videos,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection A hierarchical spatio-temporal graph convolutional neural network for anomaly detec- tion in videos,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.726992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.286474Z digest=sha256:ea99c9bb1a5cc5bf5d5764df12cf45ca250039bfb202a279556a9f7da899eac1

Observation 0652bdda-d0dd-4e9d-b193-ea72941851a5 · outbound

This paper cites Hi- erarchical graph embedded pose regularity learning via spatio-temporal transformer for abnormal behavior detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Hi- erarchical graph embedded pose regularity learning via spatio-temporal transformer for abnormal behavior detection,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.715816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.289629Z digest=sha256:12de34cc8ea447a724235ee1ebdc37223cc78215034ba5a47a4d1e3b4826029d

Observation 7250567f-fdd6-4dbd-8df4-dbba1a030184 · outbound

This paper cites Regularity learning via explicit distribution modeling for skeletal video anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Regularity learning via explicit distribution modeling for skeletal video anomaly detection,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.704139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.293346Z digest=sha256:5cfe865bd88a90cc6cad5b0874c33faf9fe0c34c296c7d61dfe96d8675416610

Observation bb9868c2-0cbc-4e18-9314-a3b33dc786d4 · outbound

This paper cites Three-way decision-based co- detection for outliers,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Three-way decision-based co- detection for outliers,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.693535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.297775Z digest=sha256:71d7e6f35ef67ff9d3f65b337e82c741fd4aed6e88d86ce1619b4b2bd7357f2b

Observation 5d62baec-b786-4bf0-91c1-18f04ab94288 · outbound

This paper cites Fuzzy granule density-based outlier detection with multi-scale granular balls,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Fuzzy granule density-based outlier detection with multi-scale granular balls,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.682157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.301898Z digest=sha256:2349a4676667a3f592596994c7269992e73438b9f3b382ef7e4ed4c5ad01ca82

Observation 4f0378ee-33f6-49e0-ba2a-a6e7208791f0 · outbound

This paper cites Explaining and harnessing adversarial examples,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Explaining and harnessing adversarial examples,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:18.305470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:18.305470Z digest=sha256:21b34439c6a947becbd37ec0c73279d23442ec8df1c26dbddaef0758a27f4097

Observation 969fc46e-5021-4bfd-9f9a-fdc1d2d22662 · outbound

This paper cites Enhancing the reliability of out- of-distribution image detection in neural networks,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Enhancing the reliability of out- of-distribution image detection in neural networks,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:18.308316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:18.308316Z digest=sha256:80246e8e71d26def958f0a2f13129c572d19e1691c169ada1707124e9c2ae462

Observation fe152dcf-a407-4653-876a-27a47e045819 · outbound

This paper cites Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.658642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.311079Z digest=sha256:a2e0e900cfdc8d519d325aa7285b779acb4281725195cfa86fe0650e9213e019

Observation c378e572-6469-43ce-b154-7f75bdb3689f · outbound

This paper cites A mathematical analysis of the dct coefficient distributions for images,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection A mathematical analysis of the dct coefficient distributions for images,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.646893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.313823Z digest=sha256:5af0b76815a7142e9283bfded1fd2075586ad838956c01876ae856eb091ea873

Observation 2d51489e-6613-459a-b6e6-a3646839e819 · outbound

This paper cites Abnormal event detection at 150 fps in matlab,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Abnormal event detection at 150 fps in matlab,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.636457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.316419Z digest=sha256:f97669bc05ca1986816e5ec1f8a9419d26bef846f0bf7854f8b18283800c905e

Observation 9ff2c8f5-abad-483a-a43b-046094ccdad6 · outbound

This paper cites Posecvae: Anomalous human activity detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Posecvae: Anomalous human activity detection,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.625984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.319142Z digest=sha256:9d5c7da0725de9d6bd4b3cc68c624f1bc6a9c7cde3ae434f9c1b4d65422f0031

Observation c7d4f1c4-3a75-4728-8103-86ffd4d42256 · outbound

This paper cites Future frame prediction network for video anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Future frame prediction network for video anomaly detection,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.614681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.322224Z digest=sha256:3220faf0668435158c09e2658f87757f8bddeef7fdbaf21114b4e3b48660dc69

Observation ade095e8-e6a1-4594-9290-2768a2d9c330 · outbound

This paper cites Eval: Explainable video anomaly localization,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Eval: Explainable video anomaly localization,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.603578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.325233Z digest=sha256:97332b17e53b7b17a9733991c36e04c1defb4596b8e2bbac94e5388cdedb3c34

Observation 7c84c76c-94ca-4e1d-8f29-59a264e35c34 · outbound

This paper cites Open- vocabulary video anomaly detection,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Open- vocabulary video anomaly detection,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T22:53:18.327839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:53:18.327839Z digest=sha256:5414d5222b847e44d09b6e27cc65f8591aab0c3c8792c368835948510b2913f2

Observation e7f522e5-3b8f-464b-82f7-929161cf045d · outbound

This paper cites Real-world anomaly detection in surveillance videos,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Real-world anomaly detection in surveillance videos,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.584237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.330433Z digest=sha256:f420089d96c73830220c4b0af75a1e7a2878241522bf08b1eaa8d37d94073b82

Observation 975f982f-4be4-4f13-a876-16360f918dfa · outbound

This paper cites Anomaly detection in video via self- supervised and multi-task learning,.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Anomaly detection in video via self- supervised and multi-task learning,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.572527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.333971Z digest=sha256:9284e6ff8ca891042cf23f12931f2f1ff146063cbc8de24c23efff9be2675043

Observation a0120986-fd19-41ab-85b1-134c2894e1df · outbound

This paper cites Is space-time attention all you need for video understanding?.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Is space-time attention all you need for video understanding?

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:53:18.560035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.337993Z digest=sha256:e60166276a8ad32ee481d84430c2cd7d8214ae2eaf3d25d2c48a0db4830df883

Observation 9c1aa78a-f6b9-465d-a4d6-bc6e17e63516 · outbound

This paper cites an unresolved cited work.

Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection Unresolved cited work

Reference 139

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:53:18.548042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:53:18.341661Z digest=sha256:5ac479bc5da2c31560f0767a2c1b9851abc17429b8b2fd722c74016a5ec6b11b

Pith citing papers

Observation fa5f02d3-d080-4725-92f5-b8e32c86e954 · inbound

The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM cites this paper.

The Evolution of Video Anomaly Detection: A Unified Framework from DNN to MLLM Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection

Reference 174

Resolution
unresolved
no resolver link, observed 2026-08-06T12:34:00.714194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:34:00.714194Z digest=sha256:44638bbb214ebc3ccf2aad58c681a01894b833542ac457678fbeb7a54cd60bc3

Observation eb9d58d2-31c7-4eea-9e41-ad5631acc10a · inbound

Action Hints: Semantic Typicality and Context Uniqueness for Generalizable Skeleton-based Video Anomaly Detection cites this paper.

Action Hints: Semantic Typicality and Context Uniqueness for Generalizable Skeleton-based Video Anomaly Detection Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:16:40.071765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T17:14:25.533181Z digest=sha256:6283750b95b72d912c410dd52e5a1daed66c9519f4f050b0dd32c8532b604ec4