Paper Citation Record · LEDGER

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection

As of 24 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2608.05069.

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

pith.paper-citation-record.v1
2608.05069 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:05:27.161285Z

measured 26 of 26 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

26 of 26 outbound references displayed

verified exact0
verified fuzzy25
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44853982-f93a-4f96-ac70-5c348831ce8a · outbound

This paper cites Understanding the challenges and opportunities of pose-based anomaly detection.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Understanding the challenges and opportunities of pose-based anomaly detection

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.495005Z

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 00033f0c-f6fc-4d5a-9e46-8b0298a6bce6 · outbound

This paper cites Multi-task learning based video anomaly detection with attention.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Multi-task learning based video anomaly detection with attention

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.487569Z

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 06ae43c4-0103-4474-ae79-4697305cf2a9 · outbound

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

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection A new comprehensive benchmark for semi-supervised video anomaly detection and anticipation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.480071Z

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 a799dcc1-c1a1-4ebb-83d7-e1351501f91e · outbound

This paper cites Multiscale spatial temporal attention graph convolution network for skeleton-based anomaly behavior detection.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Multiscale spatial temporal attention graph convolution network for skeleton-based anomaly behavior detection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.471702Z

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 bad1bba6-cfbf-46fe-b1cc-e76a1a56a8be · outbound

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

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Gaussian process regression-based video anomaly detection and localization with hierarchical feature representation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.463847Z

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 e5933182-d21e-43d3-9407-edc7a7e7399b · outbound

This paper cites Chad: Charlotte anomaly dataset.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Chad: Charlotte anomaly dataset

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.456261Z

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 8b7e24c6-0910-4a42-8417-6c3cdc0471a8 · outbound

This paper cites Towards adaptive human-centric video anomaly detection: A comprehensive framework and a new benchmark.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Towards adaptive human-centric video anomaly detection: A comprehensive framework and a new benchmark

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.448116Z

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 a44c9bfe-3202-44c3-bea0-f0dbbc362b82 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Taming transformers for high-resolution image synthesis

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.439913Z

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 1fc3478a-8fb9-420b-a82f-2e399303bd05 · outbound

This paper cites Long video generation with time-agnostic vqgan and time sensitive transformer.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Long video generation with time-agnostic vqgan and time sensitive transformer

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.431271Z

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 41f10588-72ca-4f44-a2f7-9d0c299c763a · outbound

This paper cites Learning temporal regularity in video sequences.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Learning temporal regularity in video sequences

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.423762Z

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 498564b6-e293-4a81-9e8c-49220d3a4819 · outbound

This paper cites Normalizing flows for human pose anomaly detection.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Normalizing flows for human pose anomaly detection

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.415456Z

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 a91c3e15-38a6-4028-aced-3bf7c0254f77 · outbound

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

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Hierarchical graph embedded pose regularity learning via spatio-temporal transformer for abnormal behavior detection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.407194Z

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 92e0a6f7-a269-4bd5-aa36-229457ccbdc6 · outbound

This paper cites Posecvae: Anomalous human activity detection.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Posecvae: Anomalous human activity detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.399344Z

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 c04ea004-c2d9-42de-83d3-d9c29bf167dc · outbound

This paper cites Panoptic studio: A massively multiview system for social motion capture.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Panoptic studio: A massively multiview system for social motion capture

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T10:05:27.133418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d90a2f3-99f0-4c49-9f0c-31184150d598 · outbound

This paper cites Future frame prediction for anomaly detection–a new baseline.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Future frame prediction for anomaly detection–a new baseline

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.384261Z

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 7cb341ab-a609-46a9-a0c7-f2671b02ba75 · outbound

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

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Regularity learning via explicit distribution modeling for skeletal video anomaly detection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.376253Z

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 44cb4fb5-26d9-49f4-b615-2552d8dd6232 · outbound

This paper cites Graph embedded pose clustering for anomaly detection.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Graph embedded pose clustering for anomaly detection

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.367612Z

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 aff06151-541f-46d2-aee1-e4b367c08442 · outbound

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

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Learning regularity in skeleton trajectories for anomaly detection in videos

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.357619Z

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 5c43ab37-7661-471b-88dd-5eacd2de347f · outbound

This paper cites An exploratory study on human-centric video anomaly detection through variational autoencoders and trajectory prediction.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection An exploratory study on human-centric video anomaly detection through variational autoencoders and trajectory prediction

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.349385Z

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 1d558e54-34a1-42cd-8f92-b4939e92f505 · outbound

This paper cites Shopformer: Transformer-based framework for detecting shoplifting via human pose.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Shopformer: Transformer-based framework for detecting shoplifting via human pose

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.341468Z

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 fbc48c53-1958-44f8-aee9-0a7d92e21e3c · outbound

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

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Multi-timescale trajectory prediction for abnormal human activity detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.333066Z

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 ffc75208-600c-4a7c-afbe-d20d5fee2f97 · outbound

This paper cites Memory-augmented appearance-motion network for video anomaly detection.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Memory-augmented appearance-motion network for video anomaly detection

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.324159Z

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 d560b645-39fe-4a60-9536-60ac2d053f75 · outbound

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

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection Generative cooperative learning for unsupervised video anomaly detection

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.315263Z

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 be638437-0841-478a-a049-aae41c941161 · outbound

This paper cites and Ge, Y., 2025, October.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection and Ge, Y., 2025, October

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.204781Z

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 87b1a154-24a9-40c1-a950-1605f180d787 · outbound

This paper cites and Terejanu, G., 2024, December.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection and Terejanu, G., 2024, December

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.197016Z

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 76d75d6c-3b0e-45cf-ba3d-1ae193be48bc · outbound

This paper cites and Tabkhi, H., 2026.

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection and Tabkhi, H., 2026

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:05:27.188685Z

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.