Paper Citation Record · LEDGER

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark

As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2501.06591.

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

pith.paper-citation-record.v1
2501.06591 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:00:10.748099Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

38 of 38 outbound references displayed

verified exact1
verified fuzzy27
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3959ae85-4cb6-4322-b35f-be8417642859 · outbound

This paper cites INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:00:10.623030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 819936cc-062b-4092-8c88-1a0a69dae192 · outbound

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

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Understanding the challenges and opportunities of pose-based anomaly detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.168109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 582a7edf-4cd9-4ea8-9ebe-988cc3ab3c8f · outbound

This paper cites An expert video surveillance system to identify and mitigate shoplift- ing in megastores.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark An expert video surveillance system to identify and mitigate shoplift- ing in megastores

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.157054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 705f25ad-1289-49da-bfbf-bbcc965e0972 · outbound

This paper cites Opti- mized parameter tuning in a recurrent learning process for shoplifting activity classification.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Opti- mized parameter tuning in a recurrent learning process for shoplifting activity classification

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.147014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e38946d4-9362-4295-8422-8900f6b84018 · outbound

This paper cites Expert video-surveillance system for real-time detection of suspicious behaviors in shopping malls.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Expert video-surveillance system for real-time detection of suspicious behaviors in shopping malls

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.135838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f33ce56d-5ae0-4219-8c73-0f49b6b7478d · outbound

This paper cites Racial categories in machine learning.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Racial categories in machine learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.124635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8c4eb72b-7f25-4c85-9f07-a27d8d81b7b5 · outbound

This paper cites Anomaly detection us- ing autoencoders in high performance computing systems.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Anomaly detection us- ing autoencoders in high performance computing systems

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.114465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0f3beda7-43c6-4ebe-af91-16f2fa91ebf4 · outbound

This paper cites Towards fair unsupervised learning.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Towards fair unsupervised learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.103802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c149da08-a2d0-44e7-b131-1f6d31f553f1 · outbound

This paper cites Chad: Charlotte anomaly dataset.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Chad: Charlotte anomaly dataset

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.092821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f6fec55e-8c37-4071-bb38-18c412c5b10e · outbound

This paper cites A study of real-time information on user behaviors during search and rescue (sar) training of firefighters.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark A study of real-time information on user behaviors during search and rescue (sar) training of firefighters

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.080857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 25c294b9-7a20-43bf-aed1-2173c0314b86 · outbound

This paper cites An automatic shoplifting detection from surveillance videos (student abstract).

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark An automatic shoplifting detection from surveillance videos (student abstract)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.070958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b83e138f-d3cd-41b2-9827-0e7562bf609c · outbound

This paper cites Glinsky and Ultralytics.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Glinsky and Ultralytics

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.059999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fb28fb68-046a-429f-a2e1-2983c6918cf1 · outbound

This paper cites Normalizing flows for human pose anomaly detection.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Normalizing flows for human pose anomaly detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.048139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 93c14af1-f822-49a2-9fc5-4c106f04d56e · outbound

This paper cites Graph Anomaly Detection in Time Series: A Survey.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Graph Anomaly Detection in Time Series: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:00:10.667970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f07d714-7acf-4975-98f8-c680c9e91d3c · outbound

This paper cites Dasvdd: Deep autoen- coding support vector data descriptor for anomaly detection.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Dasvdd: Deep autoen- coding support vector data descriptor for anomaly detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.037158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 620eb4fa-74a9-4939-bda1-aa2f09fc0302 · outbound

This paper cites Ultralytics yolov8, 2023.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Ultralytics yolov8, 2023

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:00:10.674918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cce7135-d8a2-4172-bcf6-8a556127c48b · outbound

This paper cites Detection of shoplifting on video using a hybrid network.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Detection of shoplifting on video using a hybrid network

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.019644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a60dfa57-9444-4877-9bf2-d9dbd209333c · outbound

This paper cites Video surveillance shoplifting recognition based on a hybrid neural network.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Video surveillance shoplifting recognition based on a hybrid neural network

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:11.008433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d9a95301-f4bd-42d1-ada1-c485d864169e · outbound

This paper cites Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:00:10.685126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82ee405e-1070-4503-99e6-3efa7b495c72 · outbound

This paper cites Microsoft coco: Common objects in context.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Microsoft coco: Common objects in context

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:00:10.689114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2ca895b-6ceb-4c24-ac37-f5f14552975d · outbound

This paper cites an unresolved cited work.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:00:10.989615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3699d2cb-03b6-4f51-a12d-7a6b9c789e08 · outbound

This paper cites Graph embedded pose clustering for anomaly detection.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Graph embedded pose clustering for anomaly detection

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:10.979507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 89a40eaa-a1f6-4b9b-b600-e61aeadaca76 · outbound

This paper cites Shoplifting detection using hybrid neural network cnn-bilsmt and development of benchmark dataset.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Shoplifting detection using hybrid neural network cnn-bilsmt and development of benchmark dataset

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:10.968790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a591d618-259a-4326-b183-b86ed5d979df · outbound

This paper cites Deep Learning for Face Recognition: Pride or Prejudiced?.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Deep Learning for Face Recognition: Pride or Prejudiced?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:00:10.702920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03cf4918-9bb9-4b7b-be42-8104e63cd245 · outbound

This paper cites Suspicious behavior detection with temporal feature extraction and time-series classification for shoplifting crime prevention.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Suspicious behavior detection with temporal feature extraction and time-series classification for shoplifting crime prevention

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:10.958287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 46aeecee-33cc-4084-b03d-d1bf926141bf · outbound

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

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark An exploratory study on human-centric video anomaly detection through variational autoencoders and trajectory prediction

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:10.946757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1b4418e5-48cb-4583-a19d-5e366fd77186 · outbound

This paper cites Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:00:10.794696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 178daabc-72a4-46d0-a58b-851813168212 · outbound

This paper cites Anomaly detection for http using convolutional autoen- coders.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Anomaly detection for http using convolutional autoen- coders

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:10.934859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a7298272-2a43-4465-a877-3ea995e33dbb · outbound

This paper cites Ancilia: Scalable intelligent video surveillance for the artificial intelligence of things.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Ancilia: Scalable intelligent video surveillance for the artificial intelligence of things

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:10.923319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fc4709bb-1db6-47c4-a90f-01bf10aa941b · outbound

This paper cites A survey of graph-based deep learning for anomaly detection in distributed systems.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark A survey of graph-based deep learning for anomaly detection in distributed systems

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:10.912268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 60a94258-3e87-4ebf-8286-d68ba1e48a1e · outbound

This paper cites Accessed: 2024-11-20.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Accessed: 2024-11-20

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:10.902603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 34121d68-a363-4a27-a464-ba12cfa37f27 · outbound

This paper cites Accessed: 2024-11-20.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Accessed: 2024-11-20

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:10.893504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bdeb1da0-f21d-4997-b929-5484868d03eb · outbound

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

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Real-world anomaly detection in surveillance videos

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:10.884211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 86953e35-0443-448b-8612-1c43f1054e48 · outbound

This paper cites Deep high-resolution representation learning for human pose es- timation.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Deep high-resolution representation learning for human pose es- timation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T21:00:10.734214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca0d8a23-a9bc-4ec0-a371-e8d3fa2fcf3e · outbound

This paper cites Simple online and realtime tracking with a deep association metric.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Simple online and realtime tracking with a deep association metric

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T21:00:10.737424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b8e6bdb-cbed-4a2d-936f-aeca8ac916e2 · outbound

This paper cites Unsupervised online anomaly de- tection with parameter adaptation for kpi abrupt changes.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Unsupervised online anomaly de- tection with parameter adaptation for kpi abrupt changes

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:10.861756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 16bdf08a-26c4-4b73-85cc-276a8fcef3dd · outbound

This paper cites Bytetrack: Multi-object tracking by associating every detection box.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark Bytetrack: Multi-object tracking by associating every detection box

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:00:10.848597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d86a25c0-3c62-4c6d-831b-65680d14f629 · outbound

This paper cites A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunities.

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunities

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T21:00:10.748099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.