Paper Citation Record · LEDGER

Waterfall Transformer for Multi-person Pose Estimation

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2411.18944.

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

pith.paper-citation-record.v1
2411.18944 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:45:40.882265Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

28 of 28 outbound references displayed

verified exact1
verified fuzzy20
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 49b2c69f-a853-4185-98c1-55aa3cb81cc3 · outbound

This paper cites OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation.

Waterfall Transformer for Multi-person Pose Estimation OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-12T10:45:41.014544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c1b5c4e-a886-4c86-a2ab-22003cca9fc9 · outbound

This paper cites Unipose+: A unified framework for 2d and 3d human pose es- timation in images and videos.

Waterfall Transformer for Multi-person Pose Estimation Unipose+: A unified framework for 2d and 3d human pose es- timation in images and videos

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.319831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b14281e-ec90-4655-9db5-e876def5fd98 · outbound

This paper cites BAPose: Bottom-up pose estimation with disentangled water- fall representations.

Waterfall Transformer for Multi-person Pose Estimation BAPose: Bottom-up pose estimation with disentangled water- fall representations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.305921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d239611b-80e3-46f0-92db-5cd14179a6aa · outbound

This paper cites Full-BAPose: Bottom up framework for full body pose estimation.

Waterfall Transformer for Multi-person Pose Estimation Full-BAPose: Bottom up framework for full body pose estimation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.290399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c42810f-6717-44a8-bbad-538185bc1cef · outbound

This paper cites Realtime multi-person 2d pose estimation us- ing part affinity fields.

Waterfall Transformer for Multi-person Pose Estimation Realtime multi-person 2d pose estimation us- ing part affinity fields

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.277295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8bf586b1-2653-4038-848a-11750dc2696f · outbound

This paper cites Yuille, and Xiaogang Wang.

Waterfall Transformer for Multi-person Pose Estimation Yuille, and Xiaogang Wang

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.263225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2146e82-d257-474f-b143-50aff9440978 · outbound

This paper cites Openmmlab pose estimation toolbox and benchmark.

Waterfall Transformer for Multi-person Pose Estimation Openmmlab pose estimation toolbox and benchmark

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.246717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cedd7a66-f382-4208-bc40-5c12a5f30c62 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Waterfall Transformer for Multi-person Pose Estimation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T10:45:40.791075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f70adb9-6405-4ea1-93da-b13d67a8cbab · outbound

This paper cites Dilated Neighborhood Attention Transformer.

Waterfall Transformer for Multi-person Pose Estimation Dilated Neighborhood Attention Transformer

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T10:45:40.795479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d842eda-a9d8-4aa0-965a-cf1d7799f921 · outbound

This paper cites Deep residual learning for image recognition.

Waterfall Transformer for Multi-person Pose Estimation Deep residual learning for image recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.232533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 946f6bbe-7478-4852-9fd0-061826f8e1e1 · outbound

This paper cites Rethinking on Multi-Stage Networks for Human Pose Estimation.

Waterfall Transformer for Multi-person Pose Estimation Rethinking on Multi-Stage Networks for Human Pose Estimation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T10:45:40.804871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44929b41-d367-4730-8037-b72c42a43728 · outbound

This paper cites Token- Pose: Learning keypoint tokens for human pose es- timation.

Waterfall Transformer for Multi-person Pose Estimation Token- Pose: Learning keypoint tokens for human pose es- timation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.218227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0428547c-f1ef-4ccb-889c-ccd4a12be50c · outbound

This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll´ar, and C.

Waterfall Transformer for Multi-person Pose Estimation Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll´ar, and C

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.204328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51547b5c-ead1-4f7c-892f-42e806023fad · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Waterfall Transformer for Multi-person Pose Estimation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.188848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e14903af-0820-4d31-9532-4f5f4a3d2d0b · outbound

This paper cites Stacked hourglass networks for human pose estimation.

Waterfall Transformer for Multi-person Pose Estimation Stacked hourglass networks for human pose estimation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.172765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a8dec8df-d24b-4455-8348-d01eeae7c86d · outbound

This paper cites On the Convergence of Adam and Beyond.

Waterfall Transformer for Multi-person Pose Estimation On the Convergence of Adam and Beyond

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T10:45:40.827758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93cef3a9-45e3-4152-8840-d8d7348ef792 · outbound

This paper cites 15 keypoints is all you need.

Waterfall Transformer for Multi-person Pose Estimation 15 keypoints is all you need

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.158898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef167870-978c-41a5-9cc3-17b8960760a3 · outbound

This paper cites Deep high-resolution representation learning for hu- man pose estimation.

Waterfall Transformer for Multi-person Pose Estimation Deep high-resolution representation learning for hu- man pose estimation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.144722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 850a7f89-1548-4479-a50a-d22121947c87 · outbound

This paper cites Deeply learned com- positional models for human pose estimation.

Waterfall Transformer for Multi-person Pose Estimation Deeply learned com- positional models for human pose estimation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.129878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f00b7b4f-58f2-4949-aa41-eba39dbcf6d8 · outbound

This paper cites DeepPose: Human pose estimation via deep neural networks.

Waterfall Transformer for Multi-person Pose Estimation DeepPose: Human pose estimation via deep neural networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.115506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b6d9ea08-9453-47e2-9a25-da2b23b31e43 · outbound

This paper cites Attention is all you need.

Waterfall Transformer for Multi-person Pose Estimation Attention is all you need

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T10:45:40.851188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df18c7d0-eed9-413a-ab73-a4f08c1d7a0e · outbound

This paper cites Deep high- resolution representation learning for visual recogni- tion.

Waterfall Transformer for Multi-person Pose Estimation Deep high- resolution representation learning for visual recogni- tion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.089839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 106afd55-cb4b-4ac3-ba3a-149ba594317e · outbound

This paper cites Convolutional pose machines.

Waterfall Transformer for Multi-person Pose Estimation Convolutional pose machines

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.074381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a2362cc5-7c70-4a12-b54e-ec1b8cacb17c · outbound

This paper cites ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation.

Waterfall Transformer for Multi-person Pose Estimation ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T10:45:40.864432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d8b589b-af4d-4921-8095-9f669c78bed3 · outbound

This paper cites TransPose: Keypoint localization via transformer.

Waterfall Transformer for Multi-person Pose Estimation TransPose: Keypoint localization via transformer

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.060053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d48e2c71-5285-4b0b-9c18-d769ce02cad0 · outbound

This paper cites HRFormer: High-resolution vision transformer for dense predict.

Waterfall Transformer for Multi-person Pose Estimation HRFormer: High-resolution vision transformer for dense predict

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.044908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a88c9097-a826-491e-9fbd-0f3d5403951a · outbound

This paper cites Human Pose Estimation with Spatial Contextual Information.

Waterfall Transformer for Multi-person Pose Estimation Human Pose Estimation with Spatial Contextual Information

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T10:45:40.877764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52b4b00b-bf0e-453b-b94e-51f4350897ed · outbound

This paper cites 3d human pose estimation with spatial and temporal transform- ers.

Waterfall Transformer for Multi-person Pose Estimation 3d human pose estimation with spatial and temporal transform- ers

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:45:41.030614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.