Paper Citation Record · LEDGER

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.13027.

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

pith.paper-citation-record.v1
2506.13027 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:40:56.762496Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

26 of 26 outbound references displayed

verified exact1
verified fuzzy17
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6207705-c378-4137-a48e-f70e998d1fe4 · outbound

This paper cites write newline.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:53.254781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dd6398b-1705-4bf0-bdee-53709dc124f5 · outbound

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

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints End-to-end object detection with transformers

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:04.640576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d48ce54d-2adb-4644-910f-b33cfaab2fd0 · outbound

This paper cites LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:53.428144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 239f6e76-7535-4a49-9f20-700eb379fbcf · outbound

This paper cites Ultralytics yolo11, 2024.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Ultralytics yolo11, 2024

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:53.555823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 351171a6-4e6b-4099-b9be-de0080f80eba · outbound

This paper cites Ultralytics yolov8, 2023.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Ultralytics yolov8, 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:53.726370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f136ebe3-f8b7-445e-9488-74ed53dd3d25 · outbound

This paper cites Dn-detr: Accelerate detr training by introducing query denoising.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Dn-detr: Accelerate detr training by introducing query denoising

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:02.793309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe2bf999-e78d-4aa0-b081-5790fef484ff · outbound

This paper cites Crowdpose: Efficient crowded scenes pose estimation and a new benchmark.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Crowdpose: Efficient crowded scenes pose estimation and a new benchmark

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:00.687304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9529193e-383f-4ea2-aa46-b44278729952 · outbound

This paper cites Microsoft coco: Common objects in context.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Microsoft coco: Common objects in context

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:41:00.123991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e9401ec1-b414-4a69-94d0-4632228f7e24 · outbound

This paper cites Group pose: A simple baseline for end-to-end multi-person pose estimation.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Group pose: A simple baseline for end-to-end multi-person pose estimation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:59.951708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ca444f40-cace-45c1-b00e-4fe5949ea157 · outbound

This paper cites RTMO : Towards high-performance one-stage real-time multi-person pose estimation, 2023.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints RTMO : Towards high-performance one-stage real-time multi-person pose estimation, 2023

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:59.765772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d0c74356-504c-4e86-a35d-c5a741e5d8a6 · outbound

This paper cites Yolo-pose: Enhancing yolo for multi person pose estimation using object keypoint similarity loss.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Yolo-pose: Enhancing yolo for multi person pose estimation using object keypoint similarity loss

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:59.566551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 86f3100d-7343-4ab7-9198-4710ca632a7b · outbound

This paper cites Fcpose: Fully convolutional multi-person pose estimation with dynamic instance-aware convolutions.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Fcpose: Fully convolutional multi-person pose estimation with dynamic instance-aware convolutions

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:59.404471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5cf0f704-a3e2-49b4-abcc-38a61cf85c94 · outbound

This paper cites Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:40:57.008517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e1643edb-bc8a-499e-a69d-95d6eb6867aa · outbound

This paper cites D-fine: Redefine regression task in detrs as fine-grained distribution refinement, 2024.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints D-fine: Redefine regression task in detrs as fine-grained distribution refinement, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:59.224515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4d622f64-29e4-47d9-b0d1-f75bec1f6a9d · outbound

This paper cites an unresolved cited work.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:40:59.070348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f8be9f88-84d9-4ff5-b4bc-be44038a0405 · outbound

This paper cites Objects365: A large-scale, high-quality dataset for object detection.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Objects365: A large-scale, high-quality dataset for object detection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:58.860532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d6a2cad3-5642-4f14-bdee-083112794648 · outbound

This paper cites Inspose: instance-aware networks for single-stage multi-person pose estimation.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Inspose: instance-aware networks for single-stage multi-person pose estimation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:58.644530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 68255e8c-fded-4022-8ce8-80ee44d4e9f1 · outbound

This paper cites End-to-end multi-person pose estimation with transformers.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints End-to-end multi-person pose estimation with transformers

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:58.504935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 12b5fc83-c112-4307-b5cb-b03c8106085b · outbound

This paper cites Deim: Detr with improved matching for fast convergence, 2025.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Deim: Detr with improved matching for fast convergence, 2025

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:58.326461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 75016801-4602-4621-a966-913e895bfa27 · outbound

This paper cites DirectPose: Direct End-to-End Multi-Person Pose Estimation.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints DirectPose: Direct End-to-End Multi-Person Pose Estimation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:56.025574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8544916f-3216-4ef0-9a32-39a698d68114 · outbound

This paper cites Contextual instance decoupling for robust multi-person pose estimation.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Contextual instance decoupling for robust multi-person pose estimation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:58.139920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 328b4cba-869c-4ea2-b16e-3c599488bec4 · outbound

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

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Querypose: Sparse multi-person pose regression via spatial-aware part-level query

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:57.887209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 30ac0f7f-011b-4df1-8af9-5ab2268a9f7b · outbound

This paper cites Explicit box detection unifies end-to-end multi-person pose estimation.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Explicit box detection unifies end-to-end multi-person pose estimation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:57.529304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9315a06e-12af-44b1-9c1a-9dc61ddf3e7c · outbound

This paper cites Dino: Detr with improved denoising anchor boxes for end-to-end object detection.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Dino: Detr with improved denoising anchor boxes for end-to-end object detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:40:57.202325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3b858d94-dbfc-4817-bd0a-a652550ca1d4 · outbound

This paper cites Detrs beat yolos on real-time object detection, 2023.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Detrs beat yolos on real-time object detection, 2023

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:56.697009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31fede08-80da-4cad-b799-902eadbb15cd · outbound

This paper cites Objects as Points.

DETRPose: Real-Time End-to-End Multi-Person Pose Estimation via Modified Transformer Decoder and Novel Denoising Keypoints Objects as Points

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:56.762496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.