Paper Citation Record · LEDGER

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection

As of 19 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2506.03162.

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

pith.paper-citation-record.v1
2506.03162 v3

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:54.241816Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T21:10:01.391718Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T21:13:16.641777Z

Reference resolution

50 of 50 outbound references displayed

verified exact2
verified fuzzy34
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9cb76458-28ef-4029-8228-d657e13e3aca · outbound

This paper cites Data efficient video transformer for violence detection.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Data efficient video transformer for violence detection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:01.617106Z

Source-reported events for the cited work

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

Observation 517f0dbe-ba93-41a1-81a0-8ef00545d8b7 · outbound

This paper cites Vision-based fight detection from surveillance cam- eras.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Vision-based fight detection from surveillance cam- eras

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:01.476003Z

Source-reported events for the cited work

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

Observation a98261eb-6883-45c1-aa39-bab9c7cb98a1 · outbound

This paper cites Vivit: A video vision transformer.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Vivit: A video vision transformer

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:50.000606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5d7a5ef-6c51-4677-b37f-c43b484397a0 · outbound

This paper cites an unresolved cited work.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:47:01.370456Z

Source-reported events for the cited work

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

Observation 4da13afb-4673-41d2-8708-9fd6e190542e · outbound

This paper cites Violence detection in video using computer vision techniques.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Violence detection in video using computer vision techniques

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:01.165932Z

Source-reported events for the cited work

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

Observation d38e0f4e-0280-4dc2-bfd1-2841d1f61eb1 · outbound

This paper cites A dataset for automatic violence de- tection in videos.Data in brief, 33:106587, 2020.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection A dataset for automatic violence de- tection in videos.Data in brief, 33:106587, 2020

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:00.943196Z

Source-reported events for the cited work

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

Observation 9d0584c7-83d4-4b40-8558-bae151e5a81c · outbound

This paper cites Implementa- tion and application of violence detection system based on multi-head attention and lstm.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Implementa- tion and application of violence detection system based on multi-head attention and lstm

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:00.922909Z

Source-reported events for the cited work

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

Observation 118de109-1662-46b2-99a9-e332687b8043 · outbound

This paper cites Mgfn: Magnitude- contrastive glance-and-focus network for weakly-supervised video anomaly detection.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Mgfn: Magnitude- contrastive glance-and-focus network for weakly-supervised video anomaly detection

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:00.728028Z

Source-reported events for the cited work

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

Observation 614abae4-50c3-453f-a5b7-91b2eee0c105 · outbound

This paper cites Rwf-2000: an open large scale video database for violence detection.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Rwf-2000: an open large scale video database for violence detection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:00.455125Z

Source-reported events for the cited work

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

Observation 9e3912a9-966b-4d4d-9321-f1c4498e1e29 · outbound

This paper cites A temporal fusion approach for video classifi- cation with convolutional and lstm neural networks applied to violence detection.Inteligencia Artificial, 24(67):40–50,.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection A temporal fusion approach for video classifi- cation with convolutional and lstm neural networks applied to violence detection.Inteligencia Artificial, 24(67):40–50,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:00.314314Z

Source-reported events for the cited work

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

Observation 4c195f8b-d4cd-4443-8703-8a9d665769e0 · outbound

This paper cites Slowfast networks for video recognition.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Slowfast networks for video recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:47:00.217150Z

Source-reported events for the cited work

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

Observation 96cbeab9-81e8-4370-af05-73014757d86c · outbound

This paper cites Two-Stream Transformer Architecture for Long Video Understanding.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Two-Stream Transformer Architecture for Long Video Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:50.822495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e43d734d-e035-4f47-85f9-c06d8a4580e0 · outbound

This paper cites Human skeletons and change detection for efficient violence detec- tion in surveillance videos.Computer Vision and Image Un- derstanding, 233:103739, 2023.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Human skeletons and change detection for efficient violence detec- tion in surveillance videos.Computer Vision and Image Un- derstanding, 233:103739, 2023

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:59.959314Z

Source-reported events for the cited work

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

Observation 770e578f-b5cb-41c0-b6b5-aa0fd5e97234 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:51.004228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3fc34fc-073e-4704-b8c2-01201eef62a1 · outbound

This paper cites Unified keypoint-based action recognition framework via structured keypoint pooling.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Unified keypoint-based action recognition framework via structured keypoint pooling

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:59.795766Z

Source-reported events for the cited work

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

Observation 2e9c2e31-cf05-4eec-a237-4e537b65ac55 · outbound

This paper cites Efficient human violence recognition for surveillance in real time.Sensors, 24(2):668, 2024.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Efficient human violence recognition for surveillance in real time.Sensors, 24(2):668, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:59.681462Z

Source-reported events for the cited work

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

Observation b1e54495-8dc8-4b35-92c8-db920905b24b · outbound

This paper cites Efficient two-stream network for violence detection using separable convolutional lstm.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Efficient two-stream network for violence detection using separable convolutional lstm

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:59.591597Z

Source-reported events for the cited work

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

Observation 611b7d6d-f663-4fbe-856e-1946fa806735 · outbound

This paper cites 3d convolu- tional neural networks for human action recognition.IEEE transactions on pattern analysis and machine intelligence, 35(1):221–231, 2012.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection 3d convolu- tional neural networks for human action recognition.IEEE transactions on pattern analysis and machine intelligence, 35(1):221–231, 2012

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:59.486758Z

Source-reported events for the cited work

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

Observation afba9e75-5275-4786-aa0c-122fd744ab1c · outbound

This paper cites an unresolved cited work.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:46:59.405098Z

Source-reported events for the cited work

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

Observation 5a7e15c0-cfc2-42b0-a786-f2de121d873f · outbound

This paper cites The Kinetics Human Action Video Dataset.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection The Kinetics Human Action Video Dataset

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:51.642069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49f0c620-de36-4365-8d42-498be7602b9a · outbound

This paper cites an unresolved cited work.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:46:59.078530Z

Source-reported events for the cited work

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

Observation 681f82de-23ad-448a-9589-cbd8d9bbbb4c · outbound

This paper cites DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:51.857087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f868ccc0-cb81-47a9-87c1-a4df4eb31e03 · outbound

This paper cites Keyframe- guided video swin transformer with multi-path excitation for violence detection.The Computer Journal, page bxad103,.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Keyframe- guided video swin transformer with multi-path excitation for violence detection.The Computer Journal, page bxad103,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:58.667656Z

Source-reported events for the cited work

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

Observation 35cfcc9f-25c3-44e1-b2b1-415994b6368f · outbound

This paper cites UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:52.020914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0df613e5-a734-41fe-955c-6a86b907c704 · outbound

This paper cites UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:52.113307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c366acd3-b934-4ffa-b7f0-2341ec48c3c1 · outbound

This paper cites Videomamba: State space model for efficient video understanding.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Videomamba: State space model for efficient video understanding

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:58.305057Z

Source-reported events for the cited work

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

Observation a6c5fad4-dda8-4f20-a96c-c188077ab05d · outbound

This paper cites STNMamba: Mamba-based Spatial-Temporal Normality Learning for Video Anomaly Detection.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection STNMamba: Mamba-based Spatial-Temporal Normality Learning for Video Anomaly Detection

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:46:54.562026Z

Source-reported events for the cited work

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

Observation fd2a0265-fdf3-4d67-9657-f12a76c7106e · outbound

This paper cites Video swin transformer.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Video swin transformer

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:58.147705Z

Source-reported events for the cited work

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

Observation 6f1ec4ac-ad93-4225-8b4a-a8678d450d0e · outbound

This paper cites Decoupled Weight Decay Regularization.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Decoupled Weight Decay Regularization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:52.502093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4e009ec-576f-443a-a8a8-2447e043cd1f · outbound

This paper cites State-of-the-art violence detection techniques in video surveillance security systems: a systematic review.PeerJ Computer Science, 8: e920, 2022.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection State-of-the-art violence detection techniques in video surveillance security systems: a systematic review.PeerJ Computer Science, 8: e920, 2022

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:57.983285Z

Source-reported events for the cited work

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

Observation ffa1d9fb-b8be-4cd2-9669-49b9a2ff2ed7 · outbound

This paper cites Effec- tive use of the mcnemar test.Behavioral Ecology and Socio- biology, 74(11):133, 2020.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Effec- tive use of the mcnemar test.Behavioral Ecology and Socio- biology, 74(11):133, 2020

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:57.815875Z

Source-reported events for the cited work

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

Observation c9db0c72-f40f-42c8-a174-f0cbca1e0301 · outbound

This paper cites Multimodal information fusion and tem- poral integration for violence detection in movies.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Multimodal information fusion and tem- poral integration for violence detection in movies

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:57.677874Z

Source-reported events for the cited work

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

Observation bb9f6640-1e7d-4e97-b7f0-2920db9f7801 · outbound

This paper cites Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:46:54.412818Z

Source-reported events for the cited work

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

Observation 7ab665c0-bfc2-4aa6-9881-fa913dd75bd2 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:53.011873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae1e065d-f50a-4eb1-81e8-278a85225acf · outbound

This paper cites Cue-net: Violence detection video analytics with spatial cropping, enhanced uniformerv2 and modified efficient additive attention.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Cue-net: Violence detection video analytics with spatial cropping, enhanced uniformerv2 and modified efficient additive attention

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:57.511251Z

Source-reported events for the cited work

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

Observation a258980d-212c-4746-827b-8b5a7cda22b5 · outbound

This paper cites Violence recog- nition from videos using deep learning techniques.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Violence recog- nition from videos using deep learning techniques

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:57.261336Z

Source-reported events for the cited work

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

Observation 4c2e20f3-91c3-459e-b64f-0343ecab929d · outbound

This paper cites Violence detection using 3d con- volutional neural networks.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Violence detection using 3d con- volutional neural networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:56.987122Z

Source-reported events for the cited work

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

Observation 4e6d4017-328e-4143-b8f1-91500a1aa278 · outbound

This paper cites Human interaction learning on 3d skeleton point clouds for video violence recognition.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Human interaction learning on 3d skeleton point clouds for video violence recognition

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:56.714910Z

Source-reported events for the cited work

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

Observation 9b718985-8987-4055-82a4-d0739a4af9da · outbound

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

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Real-world anomaly detection in surveillance videos

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:56.475762Z

Source-reported events for the cited work

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

Observation a8340fed-42fc-47e7-b0ab-d3c7dce7850e · outbound

This paper cites Detection of fights in videos: A comparison study of anomaly detection and action recog- nition.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Detection of fights in videos: A comparison study of anomaly detection and action recog- nition

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:56.212340Z

Source-reported events for the cited work

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

Observation 829c227a-1757-4928-a56c-eb00208d91c1 · outbound

This paper cites Weakly-supervised video anomaly detection with robust temporal feature magni- tude learning.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Weakly-supervised video anomaly detection with robust temporal feature magni- tude learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:53.506747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bb969e5-fe46-441b-8a11-0188dafe5def · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural information processing systems, 35:10078–10093, 2022.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.Advances in neural information processing systems, 35:10078–10093, 2022

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:53.616160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83311c54-4d4f-4778-aaa0-f0228ef5108b · outbound

This paper cites Violence detection using spa- tiotemporal features with 3d convolutional neural network.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Violence detection using spa- tiotemporal features with 3d convolutional neural network

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:56.016877Z

Source-reported events for the cited work

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

Observation 3bcee154-6441-4585-99c6-ac50ba39bcbe · outbound

This paper cites A comprehensive review on vision-based violence detection in surveillance videos.ACM Computing Surveys, 55(10):1–44,.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection A comprehensive review on vision-based violence detection in surveillance videos.ACM Computing Surveys, 55(10):1–44,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:55.853006Z

Source-reported events for the cited work

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

Observation 148722d0-72eb-45ec-8b29-28cd37219271 · outbound

This paper cites A temporal–spatial deep learning framework leveraging dynamic 3d attention maps for violence detection.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection A temporal–spatial deep learning framework leveraging dynamic 3d attention maps for violence detection

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:55.721529Z

Source-reported events for the cited work

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

Observation 3710dd9e-050f-4fe7-9f9b-6abad4dd2f19 · outbound

This paper cites Real-time violence detection and localization through subgroup analysis.Multimedia Tools and Applications, 84 (7):3793–3807, 2025.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Real-time violence detection and localization through subgroup analysis.Multimedia Tools and Applications, 84 (7):3793–3807, 2025

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:55.587983Z

Source-reported events for the cited work

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

Observation 089dbf3b-5a2a-4c01-85ea-f9f4a2919fe8 · outbound

This paper cites Not only look, but also listen: Learning multimodal violence detection under weak supervision.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Not only look, but also listen: Learning multimodal violence detection under weak supervision

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:55.351185Z

Source-reported events for the cited work

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

Observation 04d9eea8-aadf-446f-b356-5c66a2a33406 · outbound

This paper cites Vision mamba: efficient visual representation learning with bidirectional state space model.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection Vision mamba: efficient visual representation learning with bidirectional state space model

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:55.108078Z

Source-reported events for the cited work

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

Observation c777cdfb-c7c3-4c31-876d-94436a8f5e22 · outbound

This paper cites All models were trained for 55 epochs with 5 warm-up epochs where the best validation model was saved.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection All models were trained for 55 epochs with 5 warm-up epochs where the best validation model was saved

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:54.874244Z

Source-reported events for the cited work

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

Observation fbbdf657-c785-4d39-a533-1bfa5ca8c684 · outbound

This paper cites For the VioPeru dataset, our Dual Branch architecture is able to reach the already reported state-of-the-art accuracy of 89.23%.

FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection For the VioPeru dataset, our Dual Branch architecture is able to reach the already reported state-of-the-art accuracy of 89.23%

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:46:54.744973Z

Source-reported events for the cited work

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

Pith citing papers

Observation d140fb53-999d-461c-83ff-f45ed59ba4b1 · inbound

AViS-Mamba: Adaptive Visual Steering of Audio State-Space Dynamics for Violence Detection cites this paper.

AViS-Mamba: Adaptive Visual Steering of Audio State-Space Dynamics for Violence Detection FuseMamba-VD: Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-07T01:15:54.869101Z

Source-reported events for the cited work

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