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Paper Citation Record · LEDGER

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection

As of 20 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2506.18368.

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

pith.paper-citation-record.v1
2506.18368 v3

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:56:37.692661Z

measured 63 of 63 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 2026-08-06T13:30:09.442437Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:30:15.502796Z

Reference resolution

62 of 62 outbound references displayed

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  • verified fuzzy56
  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee9e3358-7859-4507-a98c-77c4bcbf9c88 · outbound

This paper cites on the generalised dis- tance in statistics.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection on the generalised dis- tance in statistics

Reference 1

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Observation 3d39ee94-97d7-442b-aa71-ccf216bafa72 · outbound

This paper cites Latent space autoregression for novelty detec- tion.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Latent space autoregression for novelty detec- tion

Reference 2

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Observation 237656d3-0b5f-4cac-b7b9-5d35e74f7ed2 · outbound

This paper cites Ubnor- mal: New benchmark for supervised open-set video anomaly detection.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Ubnor- mal: New benchmark for supervised open-set video anomaly detection

Reference 3

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Observation 9b0bb878-3b3d-4885-b34e-4ab160f5bb1d · outbound

This paper cites Modeling high- dimensional discrete data with multi-layer neural networks.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Modeling high- dimensional discrete data with multi-layer neural networks

Reference 4

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Observation 1681b58b-8e34-497a-89ea-ff5feb1d9bd2 · outbound

This paper cites Berezina, Daniel Rudoy, and Patrick J.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Berezina, Daniel Rudoy, and Patrick J

Reference 5

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Observation 39af8c3d-97c4-4b41-8b95-c957e4ab8c57 · outbound

This paper cites Sliding Window Algorithms.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Sliding Window Algorithms

Reference 6

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Observation c0310089-c02e-40c4-8274-dc2594856624 · outbound

This paper cites an unresolved cited work.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Unresolved cited work

Reference 7

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Observation dea09a7f-db75-4492-8e35-5031b48791b5 · outbound

This paper cites Ssmtl++: Revisiting self-supervised multi-task learning for video anomaly detection.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Ssmtl++: Revisiting self-supervised multi-task learning for video anomaly detection

Reference 8

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Observation 1104a9d8-fc76-4790-a0d1-a77d79b0416e · outbound

This paper cites End-to- end object detection with transformers.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection End-to- end object detection with transformers

Reference 9

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Observation 9df78c79-1102-4355-a755-9226f1b82268 · outbound

This paper cites Monocular hu- man pose estimation: A survey of deep learning-based meth- ods.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Monocular hu- man pose estimation: A survey of deep learning-based meth- ods

Reference 10

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Observation 1645c64d-cb25-4074-999b-ef121a7ac85f · outbound

This paper cites an unresolved cited work.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Unresolved cited work

Reference 11

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Observation 7bbbf69c-22cf-42c1-abef-4a872212a1e3 · outbound

This paper cites BERT: pre-training of deep bidirectional trans- formers for language understanding.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection BERT: pre-training of deep bidirectional trans- formers for language understanding

Reference 12

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Observation 71da3d70-b8ed-4de3-9cfa-4fa5727c931f · outbound

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Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Unresolved cited work

Reference 13

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Source-reported events for the cited work

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Observation 0117532d-0eeb-4eca-ba42-63abca0152c9 · outbound

This paper cites an unresolved cited work.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Unresolved cited work

Reference 14

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Source-reported events for the cited work

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Observation c42514d1-84a5-4381-b849-c0ea75d078ae · outbound

This paper cites Alpha- pose: Whole-body regional multi-person pose estimation and tracking in real-time.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Alpha- pose: Whole-body regional multi-person pose estimation and tracking in real-time

Reference 15

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Source-reported events for the cited work

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Observation 552195a0-cf9e-47c7-b102-cef6b6c316a8 · outbound

This paper cites Multimodal motion conditioned diffusion model for skeleton-based video anomaly detection.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Multimodal motion conditioned diffusion model for skeleton-based video anomaly detection

Reference 16

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Source-reported events for the cited work

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Observation e36640c8-2aec-4689-ad48-c47e82f041f9 · outbound

This paper cites Contracting skeletal kine- matics for human-related video anomaly detection.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Contracting skeletal kine- matics for human-related video anomaly detection

Reference 17

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Observation 049ad017-83f5-4ab7-ac3d-3b56d8a85f3b · outbound

This paper cites Yolox: Exceeding yolo series in 2021.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Yolox: Exceeding yolo series in 2021

Reference 18

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Observation 6d43faa5-6881-4aeb-9ce0-b0076d8cc752 · outbound

This paper cites A background-agnostic framework with adversarial training for abnormal event detection in video.IEEE Trans.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection A background-agnostic framework with adversarial training for abnormal event detection in video.IEEE Trans

Reference 19

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Source-reported events for the cited work

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Observation 80b62dca-e0cd-4b97-a48a-635802a2328a · outbound

This paper cites Anomaly detection in video via self- supervised and multi-task learning.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Anomaly detection in video via self- supervised and multi-task learning

Reference 20

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Observation 0fdd5ccb-f308-42fe-901e-07b5fc0a5afd · outbound

This paper cites MADE: masked autoencoder for distribution es- timation.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection MADE: masked autoencoder for distribution es- timation

Reference 21

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Observation 64d0b96e-83d5-44da-9751-84432554bbd9 · outbound

This paper cites Roy-Chowdhury, and Larry S.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Roy-Chowdhury, and Larry S

Reference 22

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Observation 505f8167-4320-4f73-8d3b-de9142d59196 · outbound

This paper cites Normalizing flows for hu- man pose anomaly detection.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Normalizing flows for hu- man pose anomaly detection

Reference 23

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Observation 8bfaba34-d4dd-44af-8a09-e8887138a0ea · outbound

This paper cites Long short-term memory.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Long short-term memory

Reference 24

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Source-reported events for the cited work

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Observation 876c2c7e-7977-46d1-8560-08f9e45e9e54 · outbound

This paper cites Unmasking the abnormal events in video.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Unmasking the abnormal events in video

Reference 25

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Source-reported events for the cited work

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Observation 4c707faf-ab18-4496-b866-a53dc5b4de6e · outbound

This paper cites Posecvae: Anomalous human activ- ity detection.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Posecvae: Anomalous human activ- ity detection

Reference 26

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Source-reported events for the cited work

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Observation a2680826-1c87-490e-9472-6624367af19f · outbound

This paper cites BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection

Reference 27

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Observation 0b5a9615-44c9-4959-8b54-bb9ea2858ea1 · outbound

This paper cites Professor forcing: A new algorithm for training recurrent networks.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Professor forcing: A new algorithm for training recurrent networks

Reference 28

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Observation e83d200c-9aee-4201-bc81-1a8a4a0fd3f3 · outbound

This paper cites Vision-based human pose estimation via deep learning: A survey.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Vision-based human pose estimation via deep learning: A survey

Reference 29

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Source-reported events for the cited work

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Observation b4e1939b-6931-40ab-9392-a7dd7b298822 · outbound

This paper cites Video anomaly detection with compact feature sets for online per- formance.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Video anomaly detection with compact feature sets for online per- formance

Reference 30

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Source-reported events for the cited work

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Observation c2f2803b-7989-4531-a87d-67ce68ededc6 · outbound

This paper cites Human- related anomalous event detection via spatial-temporal graph convolutional autoencoder with embedded long short-term memory network.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Human- related anomalous event detection via spatial-temporal graph convolutional autoencoder with embedded long short-term memory network

Reference 31

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Source-reported events for the cited work

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Observation 67f2b13c-4d95-4b78-9b1a-e0a3b90df02c · outbound

This paper cites Mechanics of next token prediction with self-attention.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Mechanics of next token prediction with self-attention

Reference 32

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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.

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Observation 997fac1a-7b07-4cc1-8f77-539d4a4b0ee0 · outbound

This paper cites Microsoft coco: Common objects in context.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Microsoft coco: Common objects in context

Reference 33

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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.

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Observation 08786845-1487-4422-8f8d-065fd09aed5a · outbound

This paper cites Fu- ture frame prediction for anomaly detection - A new base- line.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Fu- ture frame prediction for anomaly detection - A new base- line

Reference 34

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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.

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Observation fc6438a2-bac1-4826-b425-a00d16b6ad69 · outbound

This paper cites Fu- ture frame prediction for anomaly detection - A new base- line.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Fu- ture frame prediction for anomaly detection - A new base- line

Reference 35

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verified fuzzy
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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.

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Observation fef740fc-16bf-4f40-be5a-aa48981174bd · outbound

This paper cites A hybrid video anomaly detection framework via memory-augmented flow reconstruction and flow-guided frame prediction.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection A hybrid video anomaly detection framework via memory-augmented flow reconstruction and flow-guided frame prediction

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:38.049425Z

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.

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Observation 4696cafd-9501-420b-8305-65e745bbb469 · outbound

This paper cites Abnormal event de- tection at 150 FPS in MATLAB.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Abnormal event de- tection at 150 FPS in MATLAB

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:38.036012Z

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.

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Observation a895a9ab-8bb0-40bc-8493-772aa9efdb63 · outbound

This paper cites A revisit of sparse coding based anomaly detection in stacked RNN framework.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection A revisit of sparse coding based anomaly detection in stacked RNN framework

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:38.023567Z

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.

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Observation 2da5d100-0d1d-4a5a-bb0e-bfb4077891fe · outbound

This paper cites Normal graph: Spatial temporal graph convolutional networks based pre- diction network for skeleton based video anomaly detection.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Normal graph: Spatial temporal graph convolutional networks based pre- diction network for skeleton based video anomaly detection

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:38.012654Z

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.

source=pdf_text observed=2026-08-15T18:56:37.603934Z digest=sha256:80c12ac08d56e0923c0872229e18cef9e973360f41c12d867bf1e2c2deacedb0

Observation 07553019-685a-4e6f-a508-96639b42bcce · outbound

This paper cites Auto-regressive next-token predictors are uni- versal learners.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Auto-regressive next-token predictors are uni- versal learners

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.999675Z

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.

source=pdf_text observed=2026-08-15T18:56:37.608299Z digest=sha256:cf1cf62636292aa91ea973d065e91b2470895b107f8f121c2514e38962b41d62

Observation e25ebe6a-9798-478f-835a-9330f32e3132 · outbound

This paper cites Graph embedded pose cluster- ing for anomaly detection.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Graph embedded pose cluster- ing for anomaly detection

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.986036Z

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.

source=pdf_text observed=2026-08-15T18:56:37.611808Z digest=sha256:94b9770c6b898b73ea864d9b98309df6b5cf3ab1ffdbc8a2eece88b82435a18d

Observation e37450e9-668f-4d5c-8c04-c76112165db8 · outbound

This paper cites MULDE: multiscale log- density estimation via denoising score matching for video anomaly detection.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection MULDE: multiscale log- density estimation via denoising score matching for video anomaly detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.973851Z

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.

source=pdf_text observed=2026-08-15T18:56:37.615281Z digest=sha256:ad153e23e2fe9bb339aa2bea1a6a2cde87427b541522775f5a90a9ee10164678

Observation 9bfbecd6-b38d-4553-8f9f-c90873200df1 · outbound

This paper cites Simultaneous spar- sity model for multi-perspective video anomaly detection.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Simultaneous spar- sity model for multi-perspective video anomaly detection

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.961564Z

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.

source=pdf_text observed=2026-08-15T18:56:37.619499Z digest=sha256:c02895ec6582cb15079c1d777fc333a6b3c6af1414d7a0861fd3b248736a7fc4

Observation 6bbdd056-7181-451c-b03c-cef4efb7a3ac · outbound

This paper cites an unresolved cited work.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:56:37.950926Z

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.

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Observation 0e2463dd-1453-40d9-8fa4-0f9610e80cd8 · outbound

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

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Multi-timescale trajectory predic- tion for abnormal human activity detection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.940144Z

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.

source=pdf_text observed=2026-08-15T18:56:37.628011Z digest=sha256:159b28275e00dcd96e16e9097026152ec75b4be46531e399991f247b75bc8b4f

Observation 5e3d6738-7961-470d-ad42-b86ce19c6fac · outbound

This paper cites Rumelhart, Geoffrey E.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Rumelhart, Geoffrey E

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.929059Z

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.

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Observation 28bed1f5-121e-499b-b209-79a7a4d8d106 · outbound

This paper cites Cas- caded models for articulated pose estimation.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Cas- caded models for articulated pose estimation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.917933Z

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.

source=pdf_text observed=2026-08-15T18:56:37.635386Z digest=sha256:01072782419649fb24516f93a88ad04426ed133595c28d76bdc7fb56df5743eb

Observation 70ae0fff-441d-4d0b-bf49-5bfe31fc7e78 · outbound

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

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Real-world anomaly detection in surveillance videos

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.905438Z

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.

source=pdf_text observed=2026-08-15T18:56:37.639525Z digest=sha256:c0cb28bfe84fdab00b2a38363bbed93e7349c5234244f6a8aeb268f28dca1d93

Observation 22d9f5ca-9ad9-4d35-a429-aa29011eee88 · outbound

This paper cites Conditional regression forests for human pose estimation.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Conditional regression forests for human pose estimation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.893597Z

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.

source=pdf_text observed=2026-08-15T18:56:37.643277Z digest=sha256:40a91c70cec013995540e938c88e4aa3eddfc4e44917c6f4f90ca1819ad83dbc

Observation f117db6a-b02f-49ce-b1d3-4952d981a0fb · outbound

This paper cites Max-margin token selection in atten- tion mechanism.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Max-margin token selection in atten- tion mechanism

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.882825Z

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.

source=pdf_text observed=2026-08-15T18:56:37.646983Z digest=sha256:1a5b77c0f5de09d839a9c1abba14e62471f7bd678f26032bbe477588fe174f91

Observation 94fa1bd3-6a89-4d37-9f52-45525218d533 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.870772Z

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.

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Observation bceafd77-b694-48e2-8bdb-60ed66e8e9f0 · outbound

This paper cites Hin- ton, Kiyohiro Shikano, and Kevin J.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Hin- ton, Kiyohiro Shikano, and Kevin J

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.859898Z

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.

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Observation d31659c5-1840-4d61-872b-93d6ec5810da · outbound

This paper cites Video anomaly detection by solving decoupled spatio-temporal jigsaw puzzles.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Video anomaly detection by solving decoupled spatio-temporal jigsaw puzzles

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.847161Z

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.

source=pdf_text observed=2026-08-15T18:56:37.659837Z digest=sha256:ed78bec6120fd390b4dcee30bf2466ecef308cf241665f74422d2ae88fb48e7a

Observation 4250af89-6d13-4ef7-a124-d3fb3322e59e · outbound

This paper cites Pose flow: Efficient online pose tracking.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Pose flow: Efficient online pose tracking

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.834493Z

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.

source=pdf_text observed=2026-08-15T18:56:37.663472Z digest=sha256:696fc8846fc30959d92aeaa3e1ee5a0c5f816c9d65a1d474efd18f6586951ba7

Observation d38ed976-d82a-4983-9f14-bdd04164a556 · outbound

This paper cites Feature prediction diffusion model for video anomaly detection.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Feature prediction diffusion model for video anomaly detection

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.822762Z

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.

source=pdf_text observed=2026-08-15T18:56:37.667337Z digest=sha256:ce131fc8cce49901c10ee01774fafc566ca3b513c6923dd3cc04d2e9ab63cd37

Observation 5366a17a-a539-42a2-b07d-b1cfd3bf77a5 · outbound

This paper cites Spatial tempo- ral graph convolutional networks for skeleton-based action recognition.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Spatial tempo- ral graph convolutional networks for skeleton-based action recognition

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.812153Z

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.

source=pdf_text observed=2026-08-15T18:56:37.670820Z digest=sha256:8cc65bf2fe9e3e2e4c4976b030c095912c5d38207d5a724f99631cc8696ae48c

Observation d73252a0-c8ac-41cd-89b3-b8598bdf4e81 · outbound

This paper cites Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.800641Z

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.

source=pdf_text observed=2026-08-15T18:56:37.674509Z digest=sha256:29026713a0e0509ea2cc62b0fea9d117dc61fda8244764a899ac81025545600e

Observation d957d49e-1f75-4793-a2be-5e1f846a8b99 · outbound

This paper cites Cloze test helps: Effec- tive video anomaly detection via learning to complete video events.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Cloze test helps: Effec- tive video anomaly detection via learning to complete video events

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.787231Z

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.

source=pdf_text observed=2026-08-15T18:56:37.677791Z digest=sha256:78d6bb1b8929a8df1e45640af5dff1df3927a0d33b4094d1d8121d763c36abb7

Observation 6444ba5a-fe9b-4950-a7aa-8adc63d5d419 · outbound

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

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Generative cooperative learning for unsupervised video anomaly detection

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.775362Z

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.

source=pdf_text observed=2026-08-15T18:56:37.681408Z digest=sha256:d6fe334339c2eb654950122fee0ab5d1fd938756de68c9fb08a20b26e9ce5c74

Observation fcf36f2a-2b08-4c42-8efc-5ec5d5d7daef · outbound

This paper cites Omni-scale feature learning for person re- identification.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Omni-scale feature learning for person re- identification

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.763443Z

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.

source=pdf_text observed=2026-08-15T18:56:37.685262Z digest=sha256:41f7f089fd7060a2cf1db8eca4910ae663dc231d7e643030fc5ad590a5a4a857

Observation 01e7c43c-ecaa-4724-ba3b-35753d4bac06 · outbound

This paper cites Multi-person pose regression with distribution- aware single-stage models.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Multi-person pose regression with distribution- aware single-stage models

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.751711Z

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.

source=pdf_text observed=2026-08-15T18:56:37.688833Z digest=sha256:4c9e4e9d9abc619c5a55307acd526753b25c57c42f9a7970ef3b43b3f74ec284

Observation 48415557-f28a-42a8-ab89-dd1e8c0f92d4 · outbound

This paper cites Advancing video anomaly detection: A concise re- view and a new dataset.

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection Advancing video anomaly detection: A concise re- view and a new dataset

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:56:37.739598Z

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.

source=pdf_text observed=2026-08-15T18:56:37.692661Z digest=sha256:8ffc3f4b1dfd561aac1996e88a244d93ce764858b1d3653f53145b9bd6c957a9

Pith citing papers

Observation 19022b08-0be5-4c65-ae3e-f7f0aaa03cf5 · inbound

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection cites this paper.

DAMS:Dual-Branch Adaptive Multiscale Spatiotemporal Framework for Video Anomaly Detection Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:30:15.513716Z

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.

source=pdf_text observed=2026-08-06T13:30:09.442437Z digest=sha256:751a38acd1dc02b02e22b08313f38afe4a1fb5bf0fe04b3dfb03da2ab842d6d1