Paper Citation Record · LEDGER

Motion-Aware Feature for Improved Video Anomaly Detection

As of 9 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 4 inbound Pith citation observations for arXiv:1907.10211.

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

pith.paper-citation-record.v1
1907.10211 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T17:22:32.737692Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:54:44.068042Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:54:49.859139Z

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy28
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f4455e0-8d9d-45c1-85d3-49df163d99b2 · outbound

This paper cites Flow Fields: Dense Correspon- dence Fields for Highly Accurate Large Displacement Optical Flow Estimation.

Motion-Aware Feature for Improved Video Anomaly Detection Flow Fields: Dense Correspon- dence Fields for Highly Accurate Large Displacement Optical Flow Estimation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.776013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 22938119-5cb4-4dd3-a800-4494f6ae2b7b · outbound

This paper cites Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset.

Motion-Aware Feature for Improved Video Anomaly Detection Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.771596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 55fe4341-be14-4502-8d23-9ea6a651f35d · outbound

This paper cites Video Anomaly Detection and Localization Using Hierarchical Feature Representation and Gaussian Process Regres- sion.

Motion-Aware Feature for Improved Video Anomaly Detection Video Anomaly Detection and Localization Using Hierarchical Feature Representation and Gaussian Process Regres- sion

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.767388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7fe0b26e-a7b0-41c0-9a98-7f1395310052 · outbound

This paper cites Roy-Chowdhury, and Larry S.

Motion-Aware Feature for Improved Video Anomaly Detection Roy-Chowdhury, and Larry S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.763339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 897b8c56-bc20-4b77-a9cc-833c17dab419 · outbound

This paper cites Tube Convolutional Neural Network (T- CNN) for Action Detection in Videos.

Motion-Aware Feature for Improved Video Anomaly Detection Tube Convolutional Neural Network (T- CNN) for Action Detection in Videos

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.759330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f0fab985-4d9c-4f8c-a888-388775318e0e · outbound

This paper cites FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Net- works.

Motion-Aware Feature for Improved Video Anomaly Detection FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Net- works

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.754916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ca6ff846-c7d4-4bc9-bdcf-108c9f09e908 · outbound

This paper cites Deepvs: A deep learning based video saliency prediction approach.

Motion-Aware Feature for Improved Video Anomaly Detection Deepvs: A deep learning based video saliency prediction approach

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.750729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1ae4618b-449a-403c-967f-800173b245f0 · outbound

This paper cites Anomaly Detection and Lo- calization in Crowded Scenes.

Motion-Aware Feature for Improved Video Anomaly Detection Anomaly Detection and Lo- calization in Crowded Scenes

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.746352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3ba9afcd-a567-452f-b783-9870ed44fb1f · outbound

This paper cites Abnormal Event Detection at 150 FPS in MAT- LAB.

Motion-Aware Feature for Improved Video Anomaly Detection Abnormal Event Detection at 150 FPS in MAT- LAB

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.742050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 264653f8-81ea-4aff-93ce-873c9312c8dc · outbound

This paper cites Narasimhan and Sowmya Kamath S.

Motion-Aware Feature for Improved Video Anomaly Detection Narasimhan and Sowmya Kamath S

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.737974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed8723ec-036e-4123-90b0-2b2b47e68016 · outbound

This paper cites Novel Dataset for Fine-Grained Abnormal Behavior Under- standing in Crowd.

Motion-Aware Feature for Improved Video Anomaly Detection Novel Dataset for Fine-Grained Abnormal Behavior Under- standing in Crowd

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.733779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89b5274d-0343-413e-bf00-2a01129d82cf · outbound

This paper cites Slicing Convolutional Neural Network for Crowd Video Understanding.

Motion-Aware Feature for Improved Video Anomaly Detection Slicing Convolutional Neural Network for Crowd Video Understanding

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.729715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 24fdaff1-70d2-49c5-9c71-a6f5db028007 · outbound

This paper cites Two-Stream Convolutional Networks for Ac- tion Recognition in Videos.

Motion-Aware Feature for Improved Video Anomaly Detection Two-Stream Convolutional Networks for Ac- tion Recognition in Videos

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.725377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 42bb5e56-949e-4f97-8684-61e8639d2260 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Motion-Aware Feature for Improved Video Anomaly Detection Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.721097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 059848b1-ca57-4dfe-a2b5-726ec3ee78e7 · outbound

This paper cites Real-World Anomaly Detection in Surveillance Videos.

Motion-Aware Feature for Improved Video Anomaly Detection Real-World Anomaly Detection in Surveillance Videos

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.716330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84deec61-22e3-4fc7-adab-9ea49f8e619e · outbound

This paper cites PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost V olume.

Motion-Aware Feature for Improved Video Anomaly Detection PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost V olume

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.712370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 445c1370-8ef0-441c-9758-79494bfd9b27 · outbound

This paper cites Going Deeper with Convolutions.

Motion-Aware Feature for Improved Video Anomaly Detection Going Deeper with Convolutions

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.708256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 40f69099-0f4b-42c1-a294-3050a26410d9 · outbound

This paper cites Learning Spatiotemporal Features with 3D Convolutional Networks.

Motion-Aware Feature for Improved Video Anomaly Detection Learning Spatiotemporal Features with 3D Convolutional Networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.703882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 634e85df-77e4-4381-b1a6-d52057d49dbe · outbound

This paper cites Long-term Temporal Convolutions for Action Recognition.

Motion-Aware Feature for Improved Video Anomaly Detection Long-term Temporal Convolutions for Action Recognition

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.699637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c6e48191-5be0-4390-896d-690e52b56d74 · outbound

This paper cites Action Recognition with Improved Trajectories.

Motion-Aware Feature for Improved Video Anomaly Detection Action Recognition with Improved Trajectories

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.695242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1a71ae65-8abe-48b8-84da-6e53c1b7daec · outbound

This paper cites Temporal Segment Networks: Towards Good Practices for Deep Action Recognition.

Motion-Aware Feature for Improved Video Anomaly Detection Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.691006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f2e99e1-073d-41cd-a730-340391846457 · outbound

This paper cites Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classiﬁcation.

Motion-Aware Feature for Improved Video Anomaly Detection Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classiﬁcation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.686830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e897414d-6d67-4569-8ed7-57fb79a750d9 · outbound

This paper cites Learning Deep Rep- resentations of Appearance and Motion for Anomalous Event Detection.

Motion-Aware Feature for Improved Video Anomaly Detection Learning Deep Rep- resentations of Appearance and Motion for Anomalous Event Detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.682200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a585d16a-0c3a-42b7-a6e1-569ec19952ef · outbound

This paper cites Unsupervised Extraction of Video Highlights Via Robust Recurrent Auto-Encoders.

Motion-Aware Feature for Improved Video Anomaly Detection Unsupervised Extraction of Video Highlights Via Robust Recurrent Auto-Encoders

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.677773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 17c2d96e-3e94-4846-9984-4bb9091b7144 · outbound

This paper cites A Duality Based Approach for Realtime TV-L1 Optical Flow.

Motion-Aware Feature for Improved Video Anomaly Detection A Duality Based Approach for Realtime TV-L1 Optical Flow

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.673039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b8e25857-204a-43be-9b53-635c1fc7dd49 · outbound

This paper cites Large-Scale Visual Relationship Understanding.

Motion-Aware Feature for Improved Video Anomaly Detection Large-Scale Visual Relationship Understanding

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.668547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 09fbfe50-ec72-490b-9e5b-1a3c257e4bf6 · outbound

This paper cites Shih, Ahmed Elgammal, Andrew Tao, and Bryan Catanzaro.

Motion-Aware Feature for Improved Video Anomaly Detection Shih, Ahmed Elgammal, Andrew Tao, and Bryan Catanzaro

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.664520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 94ef6c2a-9775-43f0-af60-c701690aef37 · outbound

This paper cites Towards Universal Representation for Unseen Action Recognition.

Motion-Aware Feature for Improved Video Anomaly Detection Towards Universal Representation for Unseen Action Recognition

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T17:24:45.659671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 6c7ea0b3-669f-425e-bc47-fc0a16ca7ecc · inbound

Autoregressive Denoising Score Matching is a Good Video Anomaly Detector cites this paper.

Autoregressive Denoising Score Matching is a Good Video Anomaly Detector Motion-Aware Feature for Improved Video Anomaly Detection

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T21:54:44.068042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5f1f3ff-7597-44a3-be8a-9997abd02fcb · 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 Motion-Aware Feature for Improved Video Anomaly Detection

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T12:34:00.240035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d375dc09-2bc8-49c6-99e8-66c6a5a715fd · inbound

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators cites this paper.

Surrogate-Enhanced Modeling and Adaptive Modular Control of All-Electric Heavy-Duty Robotic Manipulators Motion-Aware Feature for Improved Video Anomaly Detection

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:54:49.863086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c704d989-935c-42ed-9bd4-449bd034884e · inbound

Event Stream based Multi-Modal Video Anomaly Detection: A Benchmark Dataset and Algorithms cites this paper.

Event Stream based Multi-Modal Video Anomaly Detection: A Benchmark Dataset and Algorithms Motion-Aware Feature for Improved Video Anomaly Detection

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-13T05:19:39.977367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.