Paper Citation Record · LEDGER

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images

As of 12 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2501.10098.

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

pith.paper-citation-record.v1
2501.10098 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:26:21.290910Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

41 of 41 outbound references displayed

verified exact16
verified fuzzy10
unresolved10
parse uncertain0
malformed identifier1
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 47473973-c668-4eaa-b9ec-f07fc593a2d7 · outbound

This paper cites 2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images 2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T19:26:22.353125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 42a9fde1-6d34-4e01-8a11-02e1566c14eb · outbound

This paper cites Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:26:22.550131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 19917826-09eb-4121-bafd-bc59499ed519 · outbound

This paper cites Stacked Hourglass Networks for Human Pose Estimation.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Stacked Hourglass Networks for Human Pose Estimation

Reference 3

Resolution: verified exact; doi, observed 2026-08-10T19:26:21.525887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a97c4bdd-315f-4b79-998a-8a392b09e418 · outbound

This paper cites STAR Loss : Reducing Semantic Ambiguity in Facial Landmark Detection.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images STAR Loss : Reducing Semantic Ambiguity in Facial Landmark Detection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:26:22.533967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 73ddd112-f69b-4506-a4f4-6da643f702d3 · outbound

This paper cites Marks, Wenxuan Mou, Chen Feng, and Xiaoming Liu.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Marks, Wenxuan Mou, Chen Feng, and Xiaoming Liu

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T19:26:21.098076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cb24fc0-b4eb-48a1-8989-dc9db2caa70b · outbound

This paper cites Fashion Landmark Detection and Category Classification for Robotics.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Fashion Landmark Detection and Category Classification for Robotics

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:26:22.241525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 471b6186-0f7f-4111-ae8f-32dd260d640e · outbound

This paper cites Point detection through multi-instance deep heatmap regression for sutures in endoscopy.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Point detection through multi-instance deep heatmap regression for sutures in endoscopy

Reference 7

Resolution: verified exact; doi, observed 2026-08-10T19:26:21.509090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 26338371-58a3-4701-8296-98f98f6052ad · outbound

This paper cites an unresolved cited work.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-08-10T19:26:21.492552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a2168d7f-5b48-4ee2-8ac3-6ede5dae41a8 · outbound

This paper cites Vieira, Maria Tereza Campos Vidigal, Bruno Augusto Nassif Travençolo, Thiago Leite Beaini, Rubens Spin-Neto, Luiz Renato Paranhos, and Rui Barbosa de Brito Júnior.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Vieira, Maria Tereza Campos Vidigal, Bruno Augusto Nassif Travençolo, Thiago Leite Beaini, Rubens Spin-Neto, Luiz Renato Paranhos, and Rui Barbosa de Brito Júnior

Reference 9

Resolution: verified exact; doi, observed 2026-08-10T19:26:21.475601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9a0b3c78-bf38-415e-9599-455e3a0d3cce · outbound

This paper cites Automated landmark identification for diagnosis of the deformity using a cascade convolutional neural network ( FlatNet ) on weight-bearing lateral radiographs of the foot.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Automated landmark identification for diagnosis of the deformity using a cascade convolutional neural network ( FlatNet ) on weight-bearing lateral radiographs of the foot

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T19:26:22.219149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bdd71304-d4cd-496a-9f26-f94880bbdefe · outbound

This paper cites Learning-based landmark detection in pelvis x-rays with attention mechanism: data from the osteoarthritis initiative.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Learning-based landmark detection in pelvis x-rays with attention mechanism: data from the osteoarthritis initiative

Reference 11

Resolution: verified exact; doi, observed 2026-08-10T19:26:21.458168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 66c0ba51-76b4-476a-9495-e093ce41a2ec · outbound

This paper cites Integrating spatial configuration into heatmap regression based CNNs for landmark localization.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Integrating spatial configuration into heatmap regression based CNNs for landmark localization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T19:26:21.138375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75952bff-39ac-49f0-ab8e-ef97c807f36a · outbound

This paper cites Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:26:22.139614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 461a0a44-7616-467a-87be-0395b6f8dd00 · outbound

This paper cites Weinstein, Emily F.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Weinstein, Emily F

Reference 14

Resolution: verified exact; doi, observed 2026-08-10T19:26:21.429837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8625e686-370d-41eb-9e17-654ee9466981 · outbound

This paper cites Harrison, Jing Xiao, Gigin Lin, and Le Lu.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Harrison, Jing Xiao, Gigin Lin, and Le Lu

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:26:22.517415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8006f7fc-64ad-453d-ba2f-4374ba5a1664 · outbound

This paper cites OpenPose : Realtime Multi - Person 2D Pose Estimation Using Part Affinity Fields.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images OpenPose : Realtime Multi - Person 2D Pose Estimation Using Part Affinity Fields

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T19:26:21.158297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a8efdc9-c496-46e2-8c78-73a4129ce5c0 · outbound

This paper cites Ultralytics YOLO , January 2023.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Ultralytics YOLO , January 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:26:22.501503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cf46bfe1-b633-4031-a7e9-314611f5de8b · outbound

This paper cites OpenMMLab Pose Estimation Toolbox and Benchmark , August 2020.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images OpenMMLab Pose Estimation Toolbox and Benchmark , August 2020

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:26:22.485180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f14f5529-e846-4b46-b827-3542de0224aa · outbound

This paper cites PyTorch Lightning , March 2019.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images PyTorch Lightning , March 2019

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T19:26:21.172397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e498592c-5ae3-405e-a1f7-d9f272289d41 · outbound

This paper cites an unresolved cited work.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T19:26:21.178004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 503a1115-095b-45fb-9c2d-46ce36394d46 · outbound

This paper cites Uncertainty Estimation in Landmark Localization Based on Gaussian Heatmaps.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Uncertainty Estimation in Landmark Localization Based on Gaussian Heatmaps

Reference 21

Resolution: verified exact; doi, observed 2026-08-10T19:26:22.457950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 10954a89-69bf-40bf-bb51-8f866bc5f2bf · outbound

This paper cites Adaloss: Adaptive Loss Function for Landmark Localization.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Adaloss: Adaptive Loss Function for Landmark Localization

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:26:21.951325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 87fdbb4e-dd1a-4063-ac28-64f267a6cb79 · outbound

This paper cites Contour- Hugging Heatmaps for Landmark Detection.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Contour- Hugging Heatmaps for Landmark Detection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T19:26:21.192737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b0198a5-f4ed-471f-91ea-9b4000ac2e03 · outbound

This paper cites Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, and Chen Feng.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, and Chen Feng

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:26:22.440701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 050d65c0-b597-4fcb-918f-ef63fc6dca7d · outbound

This paper cites CephalFormer : Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images CephalFormer : Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection

Reference 25

Resolution: verified exact; doi, observed 2026-08-10T19:26:21.412756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c1942d51-255d-4ca2-b374-c7150bcfe937 · outbound

This paper cites Automatic Cephalometric Landmark Detection on X -ray Images Using a Deep - Learning Method.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Automatic Cephalometric Landmark Detection on X -ray Images Using a Deep - Learning Method

Reference 26

Resolution: verified exact; doi, observed 2026-08-10T19:26:21.394535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b11699ab-3b23-4a84-8e85-f84afa5b68d6 · outbound

This paper cites An Attention - Guided Deep Regression Model for Landmark Detection in Cephalograms.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images An Attention - Guided Deep Regression Model for Landmark Detection in Cephalograms

Reference 27

Resolution: malformed identifier; no resolver link, observed 2026-08-10T19:26:21.212817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 400512dd-5995-4727-86c0-55b8ea56cdb3 · outbound

This paper cites Intelligent analysis of coronal alignment in lower limbs based on radiographic image with convolutional neural network.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Intelligent analysis of coronal alignment in lower limbs based on radiographic image with convolutional neural network

Reference 28

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T19:26:21.852539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a7bbfe7c-a0e9-41c0-a69c-9725069139c7 · outbound

This paper cites Model-based segmentation of pediatric and adult joints for orthopedic measurements in digital radiographs of the lower limbs.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Model-based segmentation of pediatric and adult joints for orthopedic measurements in digital radiographs of the lower limbs

Reference 29

Resolution: verified exact; doi, observed 2026-08-10T19:26:21.366582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ff4bcf32-97c9-4463-b66a-1925cc219c94 · outbound

This paper cites Automated measurement of hip–knee–ankle angle on the unilateral lower limb X -rays using deep learning.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Automated measurement of hip–knee–ankle angle on the unilateral lower limb X -rays using deep learning

Reference 30

Resolution: verified exact; doi, observed 2026-08-10T19:26:21.345860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d7db8a88-f135-47bd-9da4-4910002efaa9 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T19:26:21.235576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ade573e-dd92-4be5-a2ad-ff196e60717c · outbound

This paper cites MONAI: An open-source framework for deep learning in healthcare.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images MONAI: An open-source framework for deep learning in healthcare

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T19:26:21.241236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb06e7a5-4748-488b-8872-70bd2f353452 · outbound

This paper cites Labelme: Image Polygonal Annotation with Python , August 2024.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Labelme: Image Polygonal Annotation with Python , August 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:26:22.423341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dc70be66-173c-4de1-951a-3c8dd0b60597 · outbound

This paper cites Cootes, and Claudia Lindner.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Cootes, and Claudia Lindner

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T19:26:21.252235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b372f8c-f310-484f-9d69-ae8009ef0bb8 · outbound

This paper cites Yu, Xinshuo Weng, Shih-En Wei, Yi Yang, and Yaser Sheikh.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Yu, Xinshuo Weng, Shih-En Wei, Yi Yang, and Yaser Sheikh

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:26:22.404730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9aaec54a-b8e3-48f1-8b9b-506722d297af · outbound

This paper cites Subpixel Heatmap Regression for Facial Landmark Localization.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Subpixel Heatmap Regression for Facial Landmark Localization

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:26:21.706274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d996c1ce-0a5d-450d-b3ed-f206cf0a54a5 · outbound

This paper cites Numerical Coordinate Regression with Convolutional Neural Networks.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Numerical Coordinate Regression with Convolutional Neural Networks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T19:26:21.269293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb21327-9593-4204-8d0f-8bbeb27e61e8 · outbound

This paper cites Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Wing Loss for Robust Facial Landmark Localisation With Convolutional Neural Networks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:26:22.387827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation be4c5c71-7733-4666-b489-d933a3e2ded5 · outbound

This paper cites Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:26:22.371261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6733a813-99a3-40b8-8839-9b03e9500f9f · outbound

This paper cites Anchor Ball Regression Model for large-scale 3D skull landmark detection.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Anchor Ball Regression Model for large-scale 3D skull landmark detection

Reference 40

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T19:26:21.664396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6665161c-39e8-4519-a215-26e39119de46 · outbound

This paper cites Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction.

landmarker: a Toolkit for Anatomical Landmark Localization in 2D/3D Images Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:26:21.550759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.