Paper Citation Record · LEDGER

Improvement of human health lifespan with hybrid group pose estimation methods

As of 7 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2506.03169.

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

pith.paper-citation-record.v1
2506.03169 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:08:19.584768Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

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External citation measurements

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Outbound references

Observation bce3e272-d1ea-4f6a-bfc4-385668224446 · outbound

This paper cites an unresolved cited work.

Improvement of human health lifespan with hybrid group pose estimation methods Unresolved cited work

Reference 1

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Observation ebabe313-b589-4991-bb66-ad60d9d812c6 · outbound

This paper cites : Human modeli ng and pose estimation overview.

Improvement of human health lifespan with hybrid group pose estimation methods : Human modeli ng and pose estimation overview

Reference 2

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Observation 3f35f0cf-af26-40db-9601-8c69644fc1b3 · outbound

This paper cites Proceedings of ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:28.900660Z

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Observation 4a0049ea-a0be-489b-b258-cea677b08fd8 · outbound

This paper cites M., Allen, C.

Improvement of human health lifespan with hybrid group pose estimation methods M., Allen, C

Reference 4

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Observation 8194e819-c47f-4ac7-a157-3217c5cc7e13 · outbound

This paper cites : Deep learning based human pose estimation: A survey.

Improvement of human health lifespan with hybrid group pose estimation methods : Deep learning based human pose estimation: A survey

Reference 5

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Observation 44eb898d-ab20-44fd-9434-481590f9761a · outbound

This paper cites : Human pose estimation.

Improvement of human health lifespan with hybrid group pose estimation methods : Human pose estimation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:28.353941Z

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Observation f9b38a52-7bea-4408-a4d3-8325e225bc5e · outbound

This paper cites Computer Vision and Image Understanding, 210, 103225.

Improvement of human health lifespan with hybrid group pose estimation methods Computer Vision and Image Understanding, 210, 103225

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:28.208172Z

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Observation 14b148fd-0ee8-45d0-b6b3-50086f0ad8e2 · outbound

This paper cites Innovations in Power and Advanced Computing Technologies (i -PACT), Kuala Lumpur, Malaysia, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Innovations in Power and Advanced Computing Technologies (i -PACT), Kuala Lumpur, Malaysia, pp

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:28.078750Z

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Observation 3e7ea7e1-2676-43e4-8af0-19bace314b81 · outbound

This paper cites Pro- ceedings of European Conference on Computer Vision, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Pro- ceedings of European Conference on Computer Vision, pp

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:27.898691Z

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Observation 6f292d0b-8521-47fa-9e91-4106d921c8ce · outbound

This paper cites Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:27.773234Z

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Observation e19e8530-1d27-4b26-8633-b7571abae423 · outbound

This paper cites Proceedings of IEEE Con- ference on Computer Vision and Pattern Recognition, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of IEEE Con- ference on Computer Vision and Pattern Recognition, pp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:27.601077Z

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Observation 006b3b6d-a7a7-4a31-9803-b951c020305b · outbound

This paper cites : Poseur: Direct human pose regression with transformers.

Improvement of human health lifespan with hybrid group pose estimation methods : Poseur: Direct human pose regression with transformers

Reference 12

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Observation ee702f56-ee8d-4754-9cc1-b12ce5a4d3d6 · outbound

This paper cites Proceedings of IEEE Conference on Computer Vision and Pattern Recogni- tion, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of IEEE Conference on Computer Vision and Pattern Recogni- tion, pp

Reference 13

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Observation fcdec784-6bfb-4255-8204-0c8584d3ce71 · outbound

This paper cites Proceedings of European Conference on Computer Vi- sion, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of European Conference on Computer Vi- sion, pp

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:27.070184Z

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Observation 055752e2-4d47-4947-b9f1-bfb3ded35f9a · outbound

This paper cites Proceed- ings of IEEE International Conference on Computer Vision and Pattern Recognition , pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceed- ings of IEEE International Conference on Computer Vision and Pattern Recognition , pp

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:26.885966Z

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Observation 288eaaaf-1293-4910-b04e-6fbe498386c1 · outbound

This paper cites T., Zhou, E.: Token Pose: Learning keypoint tokens for human pose estimation.

Improvement of human health lifespan with hybrid group pose estimation methods T., Zhou, E.: Token Pose: Learning keypoint tokens for human pose estimation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:26.736187Z

Source-reported events for the cited work

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Observation 130455a2-2360-4601-98ed-d0e24d889ddc · outbound

This paper cites Sensors, 24(4), 1076 (2024).

Improvement of human health lifespan with hybrid group pose estimation methods Sensors, 24(4), 1076 (2024)

Reference 17

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Source-reported events for the cited work

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Observation 2ff70f43-4aae-4f35-a310-6a364fc6fac9 · outbound

This paper cites Proceedings of IEEE International Conference on Computer Vision, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of IEEE International Conference on Computer Vision, pp

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:26.288890Z

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Observation c9e8fcb1-b423-4d43-92cb-ca720ac4bb70 · outbound

This paper cites , Zeng, G., Li, H., Yuan, Y., Wang, J.: RTMPose: Real-time multi-person pose estimation based on MMPose.

Improvement of human health lifespan with hybrid group pose estimation methods , Zeng, G., Li, H., Yuan, Y., Wang, J.: RTMPose: Real-time multi-person pose estimation based on MMPose

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:26.074750Z

Source-reported events for the cited work

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Observation a4e9e30b-7162-4a42-8e53-9f6a67a80573 · outbound

This paper cites : HEGPosEs: Hybrid ensemble -based group pose estimation for modeling human body configurations.

Improvement of human health lifespan with hybrid group pose estimation methods : HEGPosEs: Hybrid ensemble -based group pose estimation for modeling human body configurations

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:25.885245Z

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Observation 819b47fd-d81b-4944-b17a-32eeab9a7ab1 · outbound

This paper cites A., Neverova, N., Kokkinos, I.: DensePose: Dense human pose estimation in the wild.

Improvement of human health lifespan with hybrid group pose estimation methods A., Neverova, N., Kokkinos, I.: DensePose: Dense human pose estimation in the wild

Reference 21

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Observation 28fb9aa6-0ba6-4a08-91c9-7aab12913474 · outbound

This paper cites S., Kumar, A., Singh, O.

Improvement of human health lifespan with hybrid group pose estimation methods S., Kumar, A., Singh, O

Reference 22

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Observation bf7e2e8a-79e7-4bb2-9a41-da99912bb14d · outbound

This paper cites Proceedings of IEEE International Conference on Computer Vision and Pat- tern Recognition (2021).

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of IEEE International Conference on Computer Vision and Pat- tern Recognition (2021)

Reference 23

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Observation a38b3341-dd14-40fe-b37c-40b3124484ed · outbound

This paper cites Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, pp

Reference 24

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Observation d78d1b67-6881-457d-a9bf-2e59220bf6d3 · outbound

This paper cites S., Xie, S., Tai, Y.

Improvement of human health lifespan with hybrid group pose estimation methods S., Xie, S., Tai, Y

Reference 25

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Observation 685814a5-f8d8-4c2e-b96e-1dcf86bb4533 · outbound

This paper cites E., Sheikh, Y.: Real-time multi-person 2D pose estimation us- ing part affinity fields.

Improvement of human health lifespan with hybrid group pose estimation methods E., Sheikh, Y.: Real-time multi-person 2D pose estimation us- ing part affinity fields

Reference 26

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Observation 51cb4842-eb71-47b5-bc8d-da548514c1d1 · outbound

This paper cites : Deep 3D human pose es- timation: A review.

Improvement of human health lifespan with hybrid group pose estimation methods : Deep 3D human pose es- timation: A review

Reference 27

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Observation 075d9939-5f8b-4b6b-9166-1b71fbf8e4fc · outbound

This paper cites Proceedings of International Conference on Learning Representations, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of International Conference on Learning Representations, pp

Reference 28

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Observation e7a64d9c-f427-4bfc-bcec-a88068009670 · outbound

This paper cites , Zeng, G., Li, H., Yuan, Y., Wang, J.: Conditional DETR for fast training convergence.

Improvement of human health lifespan with hybrid group pose estimation methods , Zeng, G., Li, H., Yuan, Y., Wang, J.: Conditional DETR for fast training convergence

Reference 29

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Observation 9d129d56-aafe-410a-86a9-3a37bb08e2e5 · outbound

This paper cites Hugging Face (2022).

Improvement of human health lifespan with hybrid group pose estimation methods Hugging Face (2022)

Reference 30

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Observation 06186de9-8d1c-42e6-a77d-3b2b39eb8601 · outbound

This paper cites Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 5693, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, 5693, pp

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:22.438841Z

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This paper cites : QueryPose: Sparse multi - person pose regression via spatial-aware part -level query.

Improvement of human health lifespan with hybrid group pose estimation methods : QueryPose: Sparse multi - person pose regression via spatial-aware part -level query

Reference 32

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Observation 77eb943c-3478-4850-a6f3-74212aea745e · outbound

This paper cites Proceedings of International Conference on Learning Representations (2023).

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of International Conference on Learning Representations (2023)

Reference 33

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Observation 0c041948-7255-4cb0-b8b6-7cce19d69584 · outbound

This paper cites Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, pp

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:20.881576Z

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Observation 3af93b50-9dbf-4322-aab5-0de532403482 · outbound

This paper cites Proceedings of Advances in Neural Information Processing Sys- tems, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of Advances in Neural Information Processing Sys- tems, pp

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:20.677437Z

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Observation 59ded96c-20f9-4bae-86c2-02853d4190d7 · outbound

This paper cites Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, pp

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:20.475041Z

Source-reported events for the cited work

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Observation 74556a38-a8fd-4d86-bb95-e4a1f83f49a5 · outbound

This paper cites , Liu, W., Qian, C., Luo, P., Liu, S.: PoseTrans: A simple yet effective pose transformation augmenta tion for human pose estimation.

Improvement of human health lifespan with hybrid group pose estimation methods , Liu, W., Qian, C., Luo, P., Liu, S.: PoseTrans: A simple yet effective pose transformation augmenta tion for human pose estimation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:20.297963Z

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This paper cites -S., Lu, C.

Improvement of human health lifespan with hybrid group pose estimation methods -S., Lu, C

Reference 38

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Observation dcc13a1c-84ee-4228-8a0e-bb5a73331c77 · outbound

This paper cites Proceed- ings of IEEE Conference on Computer Vision and Pattern Recognition , pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceed- ings of IEEE Conference on Computer Vision and Pattern Recognition , pp

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:19.913664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f2ab180d-4748-4401-8cf7-d44e131fa98b · outbound

This paper cites Proceedings of IEEE Confer- ence on Computer Vision and Pattern Recognition, pp.

Improvement of human health lifespan with hybrid group pose estimation methods Proceedings of IEEE Confer- ence on Computer Vision and Pattern Recognition, pp

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:19.736814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.