Paper Citation Record · LEDGER

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2411.11003.

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

pith.paper-citation-record.v1
2411.11003 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:05:09.265870Z

measured 40 of 40 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

40 of 40 outbound references displayed

verified exact0
verified fuzzy29
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3689727-7c6c-46ec-b2ed-c64ffe3e0d15 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.679707Z

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 bc73d4b5-2753-49b2-966a-b3264fd013d2 · outbound

This paper cites In: Proceedings of the IEEE/CVF inter- national conference on computer vision.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Proceedings of the IEEE/CVF inter- national conference on computer vision

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.668477Z

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 0383cd23-3291-4adc-933b-c4c010dca259 · outbound

This paper cites IEEE Access 9, 123977–123986 (2021).

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance IEEE Access 9, 123977–123986 (2021)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.658201Z

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 d83b1aeb-d1e7-4ef0-ae26-45dca8d3d3b6 · outbound

This paper cites In: Proceedings of the 29th ACM International Conference on Multimedia.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Proceedings of the 29th ACM International Conference on Multimedia

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.647977Z

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 a0dab570-47ae-453c-9f9f-417e808f6139 · outbound

This paper cites In: 2022 26th International Conference on Pattern Recognition (ICPR).

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: 2022 26th International Conference on Pattern Recognition (ICPR)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.638074Z

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 c388095a-7c38-408a-8bc6-c9212c740908 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.628096Z

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 35cbed9c-4d18-43d1-b426-02bbfaa0b463 · outbound

This paper cites In: Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part III 14.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part III 14

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:09.157749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36627a56-549b-4a18-8f29-6a0f50949164 · outbound

This paper cites IEEE transactions on neural networks and learning systems 33(8), 3572–3586 (2021).

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance IEEE transactions on neural networks and learning systems 33(8), 3572–3586 (2021)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.611219Z

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 a6706151-dfde-48a9-bbeb-b659bc9ccf78 · outbound

This paper cites In: IEEE 10th International Conference on Signal Processing Proceedings.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: IEEE 10th International Conference on Signal Processing Proceedings

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.600304Z

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 07d5fedd-5359-4b33-9839-2ec9a036fbcd · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:09.168069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b55f1a65-c63e-42e1-b7fd-5df4b1fa03ec · outbound

This paper cites Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:09.171203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84b42ffe-d300-4ce6-86a0-f8ae2be1d4a8 · outbound

This paper cites A Real-Time Deep Learning Approach for Real-World Video Anomaly Detection,.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance A Real-Time Deep Learning Approach for Real-World Video Anomaly Detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.581651Z

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 860ac0b7-06c3-494c-b4f3-debbf7bdba40 · outbound

This paper cites Deep anomaly detection through visual attention in surveillance videos,.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance Deep anomaly detection through visual attention in surveillance videos,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.570337Z

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 bc979a62-b376-47ba-a52f-02370647565a · outbound

This paper cites CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks,.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.559445Z

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 e8f8dbec-5fd0-4315-96ad-040bd94b9eb7 · outbound

This paper cites AnomalyNet: An Anomaly Detection Network for Video Surveillance,.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance AnomalyNet: An Anomaly Detection Network for Video Surveillance,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.549243Z

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 148f74fe-0b49-48bd-9444-b258a859463d · outbound

This paper cites Exploring background-bias for anomaly detection in surveillance videos,.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance Exploring background-bias for anomaly detection in surveillance videos,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.538988Z

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 0c141633-5017-41b1-9eb5-4247fda15d39 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:09.191206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfe3b729-ee7d-4b17-8414-105664c43dfd · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.522369Z

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 bbc06afe-7ad7-423d-87d0-61b95cef06d8 · outbound

This paper cites Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:09.197392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fc7491b-1d3c-4f98-b702-941dd6ba7679 · outbound

This paper cites IEEE Transactions on Image Processing 30, 3513–3527 (2021).

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance IEEE Transactions on Image Processing 30, 3513–3527 (2021)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.511649Z

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 c90d62e4-a8e9-4edb-9c8e-54a1f38c1877 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.501277Z

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 b640413c-c08c-440b-844c-3260eaee7f06 · outbound

This paper cites In: International Conference on Neural Information Processing.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: International Conference on Neural Information Processing

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.490697Z

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 2d7c6dd9-a60e-41be-a133-5bcee31adef6 · outbound

This paper cites IEEE transactions on image processing 30, 4505–4515 (2021).

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance IEEE transactions on image processing 30, 4505–4515 (2021)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.480552Z

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 0d84f547-f96d-46ee-80d8-0cc6ce4bb5b6 · outbound

This paper cites In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXX.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXX

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.470080Z

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 4c5866d0-5a9f-43ea-b206-cfe070f31608 · outbound

This paper cites an unresolved cited work.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-12T19:05:09.460090Z

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 362a9efb-902e-45bd-b31d-17a77575df62 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:09.220567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46bb651a-20aa-4065-8601-a156c97630bf · outbound

This paper cites In: European Conference on Computer Vision.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: European Conference on Computer Vision

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:09.223655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e14d56c-919c-44c1-8143-0c268923d838 · outbound

This paper cites IEEE transactions on intelligent transportation systems 23(11), 21687–21699 (2022).

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance IEEE transactions on intelligent transportation systems 23(11), 21687–21699 (2022)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.438535Z

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 00a2c2d8-bf7d-4e7a-8c4d-b6f3e7cda9f6 · outbound

This paper cites In: 2019 IEEE International Conference on Image Processing (ICIP).

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: 2019 IEEE International Conference on Image Processing (ICIP)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.428162Z

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 ca33ff9c-93c0-42e2-90b6-3b47b90b3389 · outbound

This paper cites IEEE Signal Processing Letters 29, 2497–2501 (2022).

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance IEEE Signal Processing Letters 29, 2497–2501 (2022)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.417392Z

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 77df3224-7d0a-406c-affb-1e4cd4a7d2dc · outbound

This paper cites Pattern Recognition 77, 329–353 (2018).

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance Pattern Recognition 77, 329–353 (2018)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.407701Z

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 aeb6aaa9-9337-4866-80a2-ac1cde04e3e6 · outbound

This paper cites In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.398054Z

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 d626fc31-a139-41f0-926f-eac25b4413ee · outbound

This paper cites In: European Con- ference on Computer Vision.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: European Con- ference on Computer Vision

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.387809Z

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 e1f2c924-35a4-4401-81df-cec97e27c1c0 · outbound

This paper cites Motion-Aware Feature for Improved Video Anomaly Detection.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance Motion-Aware Feature for Improved Video Anomaly Detection

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:09.245983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7283536-bc75-40e7-aaa7-8565efe91c2a · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.377483Z

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 cc7d16f9-b771-4ad3-a156-2e7029e6cebf · outbound

This paper cites Advances in neural information processing systems 30 (2017).

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance Advances in neural information processing systems 30 (2017)

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T19:05:09.252743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fd018f9-9097-4c9d-9057-17949654b0b4 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.360897Z

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 dc3655f2-a81e-4f2c-bae1-a1c4a9086f94 · outbound

This paper cites BatchNorm-based Weakly Supervised Video Anomaly Detection.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance BatchNorm-based Weakly Supervised Video Anomaly Detection

Reference 38

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T19:05:09.300919Z

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 fdc0aa45-4961-4b43-8e99-47114474cb7f · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.350547Z

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 3e90e6f8-2da7-4462-b831-cf9823547cb5 · outbound

This paper cites Electronic Imaging 35(9), 286–1–286–1 (2023).

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance Electronic Imaging 35(9), 286–1–286–1 (2023)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:05:09.340200Z

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.

Pith citing papers

No inbound Pith citation observations are available.