Paper Citation Record · LEDGER

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications

As of 23 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2505.02179.

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

pith.paper-citation-record.v1
2505.02179 v3

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:05:05.372044Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy14
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8fc30696-583e-4e02-8006-5b595d696bd9 · outbound

This paper cites Anomalynet: An anomaly detection network for video surveillance,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Anomalynet: An anomaly detection network for video surveillance,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:05:05.587361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 77480b9d-2290-4476-b39a-5d55eb13951c · outbound

This paper cites Big data analytics for video surveillance,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Big data analytics for video surveillance,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:05:05.577845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 76b3f8fa-a8ad-474e-b728-625b636fb73b · outbound

This paper cites Weakly-supervised video anomaly detection with robust temporal feature magnitude learning,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Weakly-supervised video anomaly detection with robust temporal feature magnitude learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:05:05.568239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c45f564b-5c95-4dc3-9f3c-8cf540ccdb22 · outbound

This paper cites Weakly-supervised video anomaly detection with snippet anomalous attention,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Weakly-supervised video anomaly detection with snippet anomalous attention,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:05:05.558642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 69dd8238-a8c5-4334-b069-2f05c9f91f42 · outbound

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

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Real-world anomaly detection in surveillance videos,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T01:05:05.313644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f026ef7e-7f33-4a0d-a1ce-41bf6c2d7987 · outbound

This paper cites Weakly supervised video anomaly detection via center-guided discriminative learning,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Weakly supervised video anomaly detection via center-guided discriminative learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:05:05.543095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8c997f4c-d64f-4c07-a894-da0a1ed859a0 · outbound

This paper cites Unbiased multi- ple instance learning for weakly supervised video anomaly detection,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Unbiased multi- ple instance learning for weakly supervised video anomaly detection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:05:05.533348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2071cba2-f852-411d-947b-3427d6040e0b · outbound

This paper cites Mist: Multiple instance self- training framework for video anomaly detection,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Mist: Multiple instance self- training framework for video anomaly detection,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T01:05:05.324279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1155c661-128f-4c0b-a489-a83f9902381d · outbound

This paper cites Deep anomaly discovery from unlabeled videos via normality advantage and self- paced refinement,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Deep anomaly discovery from unlabeled videos via normality advantage and self- paced refinement,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:05:05.517278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6ea12d4f-34ca-46e3-afe8-7215984592d5 · outbound

This paper cites Generative cooperative learning for unsupervised video anomaly detection,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Generative cooperative learning for unsupervised video anomaly detection,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T01:05:05.330669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f38e3316-fc7b-4069-995a-b69242ab208d · outbound

This paper cites A simple frame- work for contrastive learning of visual representations,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications A simple frame- work for contrastive learning of visual representations,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T01:05:05.333960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f7a03fc-2a9a-4c22-8093-3ef522aec688 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Momentum contrast for unsupervised visual representation learning,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T01:05:05.337016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c2ca624-2242-4236-8849-e898f7d01f19 · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assign- ments,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Unsupervised learning of visual features by contrasting cluster assign- ments,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T01:05:05.340697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e53674a7-557a-4616-bc26-a051fe63562c · outbound

This paper cites Exploiting completeness and uncertainty of pseudo labels for weakly supervised video anomaly detection,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Exploiting completeness and uncertainty of pseudo labels for weakly supervised video anomaly detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:05:05.485342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7df2d17c-6729-45ab-b0ed-4389b3d5f1d5 · outbound

This paper cites Prototypical networks for few- shot learning,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Prototypical networks for few- shot learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T01:05:05.346993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f0a0235-4f52-44c9-ba88-cfe818a670c4 · outbound

This paper cites Contrastive Learning with Hard Negative Samples.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Contrastive Learning with Hard Negative Samples

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T01:05:05.350209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69aa2beb-9e15-4c15-b9af-f0aebc23eef5 · outbound

This paper cites Vadclip: Adapting vision-language models for weakly supervised video anomaly detection,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Vadclip: Adapting vision-language models for weakly supervised video anomaly detection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:05:05.469082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5437ec0b-b0b1-47b6-a1f8-eb3c3b446dd1 · outbound

This paper cites Graph con- volutional label noise cleaner: Train a plug-and-play action classifier for anomaly detection,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Graph con- volutional label noise cleaner: Train a plug-and-play action classifier for anomaly detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:05:05.457972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f444f870-b959-4ec7-b7ad-21931551c3db · outbound

This paper cites Claws: Clustering assisted weakly supervised learning with normalcy sup- pression for anomalous event detection,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Claws: Clustering assisted weakly supervised learning with normalcy sup- pression for anomalous event detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:05:05.447933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1bb54b91-edf2-4cb8-80a8-4ca19bf48122 · outbound

This paper cites Self-training multi-sequence learning with transformer for weakly supervised video anomaly detection,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Self-training multi-sequence learning with transformer for weakly supervised video anomaly detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:05:05.436877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 642680dd-caa1-4a4c-92df-925a6fa03e87 · outbound

This paper cites Self- supervised sparse representation for video anomaly detection,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Self- supervised sparse representation for video anomaly detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:05:05.426441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8f880cc7-0012-4e01-aae9-b6cc61085846 · outbound

This paper cites Decouple and resolve: transformer-based models for online anomaly detection from weakly labeled videos,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Decouple and resolve: transformer-based models for online anomaly detection from weakly labeled videos,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T01:05:05.369094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55c6a82f-b9ce-4365-81b8-fbadb1d06c98 · outbound

This paper cites Look around for anomalies: Weakly-supervised anomaly detection via context- motion relational learning,.

ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications Look around for anomalies: Weakly-supervised anomaly detection via context- motion relational learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:05:05.410416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.