Pith. sign in

Paper Citation Record · LEDGER

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose

As of 23 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2412.16742.

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

pith.paper-citation-record.v1
2412.16742 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:18:37.084971Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:15:51.942777Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:15:52.200167Z

Reference resolution

52 of 52 outbound references displayed

  • verified exact0
  • verified fuzzy43
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf4e6055-51c5-4f76-b591-bb17bdc143b2 · outbound

This paper cites Dense soft tissue 3d reconstruction refined with super-pixel segmentation for robotic abdominal surgery,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Dense soft tissue 3d reconstruction refined with super-pixel segmentation for robotic abdominal surgery,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:40.285904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:35.603389Z digest=sha256:e3c44b4d977246f0726a1b8da00c49192a9c36d2810b602ed27839a9cf2a0cac

Observation 1dc671b7-c7f4-4c5c-8641-652ae14f68dd · outbound

This paper cites Orbslam-based endoscope tracking and 3d reconstruction,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Orbslam-based endoscope tracking and 3d reconstruction,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:40.273702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:35.661213Z digest=sha256:79ad7ae7ae096d00494ec93efc2b632303482c30e50bbe60eeddd4a832ff9d7b

Observation 70036b49-d41e-4572-a3e7-62d6889ef443 · outbound

This paper cites 3d reconstruction of internal organ surfaces for minimal invasive surgery,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose 3d reconstruction of internal organ surfaces for minimal invasive surgery,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:40.220465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:35.739265Z digest=sha256:6142c8b9b6638c695c9d9a37e8d4ca39b36e30ebc321ca84f9e7ad987d5b98c3

Observation 6c012378-cfdf-4a86-bfed-81e815d0cfa7 · outbound

This paper cites Neural rendering for stereo 3d reconstruction of deformable tissues in robotic surgery,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Neural rendering for stereo 3d reconstruction of deformable tissues in robotic surgery,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:40.150712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:35.818462Z digest=sha256:350d6827864b229ec27430797de860c00b114848266930c9a5b5241e420ce93e

Observation 478238db-11cc-4a53-b83f-a796c4172e9f · outbound

This paper cites Advancements and challenges in minimally invasive surgery training among general-surgery residents in thailand,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Advancements and challenges in minimally invasive surgery training among general-surgery residents in thailand,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:40.114260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:35.826662Z digest=sha256:ad6c14fa6d060b13247d913bff7d8c666528b88c4104b0c548c4da083442c8e4

Observation 0ec4ec64-adae-458e-95eb-5f550041f291 · outbound

This paper cites Grossberg, Conscious mind, resonant brain: how each brain makes a mind.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Grossberg, Conscious mind, resonant brain: how each brain makes a mind

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:40.022836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:35.836344Z digest=sha256:eb53bada29b15a28722fabceb0c5e409c9ea766a8c08593f6f695b60591c8029

Observation c46a7ec9-ba9a-470a-a444-e89e9e76fd07 · outbound

This paper cites A dual- view multi-resolution laparoscope for safer and more efficient minimally invasive surgery,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose A dual- view multi-resolution laparoscope for safer and more efficient minimally invasive surgery,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:39.951928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:35.843659Z digest=sha256:34fbed5fa1fb982af5b7664a246e693b53f63107727a3737a4352c433517ff75

Observation 2f8d3be0-ee06-41b7-b00f-efed1f6c0b83 · outbound

This paper cites Towards real-time, multi-view video stereopsis,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Towards real-time, multi-view video stereopsis,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:39.863392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:35.850052Z digest=sha256:3457b7806155daa6991958b0efa5f78424f87511f2812475b5a9839456aa1696

Observation 35b9098d-e2dd-481f-82a0-487650ff68f5 · outbound

This paper cites Surface reconstruction of abdominal organs using laparoscopic structured light for augmented reality,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Surface reconstruction of abdominal organs using laparoscopic structured light for augmented reality,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:39.736272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:35.942301Z digest=sha256:b8fd22613b68bf51e2e5c5b62b7ef4649183a13d99a20fffc65fb918e9b3bd5e

Observation c4bb634e-5d93-4e83-95f6-a4908b29afde · outbound

This paper cites A structured light-based laparoscope with real-time organs’ surface reconstruction for minimally invasive surgery,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose A structured light-based laparoscope with real-time organs’ surface reconstruction for minimally invasive surgery,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:39.617827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.018489Z digest=sha256:4f90f6f6e8ee4554ae07a66ec82418106f0859cc14719acc1d869c7f8c51efa6

Observation 292d7519-4c42-44a2-ae8c-dd596693327a · outbound

This paper cites Dual multi- spectral and 3d structured light laparoscope,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Dual multi- spectral and 3d structured light laparoscope,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:39.526036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.069862Z digest=sha256:073d491cfff3164d9308a71f5b77dc4e1cdb2b645af3e4c6722e0ad04fce42e9

Observation 0b0cd7c3-6d0b-4936-9205-521d6865f6fd · outbound

This paper cites Surgical structured light for 3d minimally invasive surgical imaging,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Surgical structured light for 3d minimally invasive surgical imaging,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:39.366149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.172318Z digest=sha256:1f0d17ea42433a6a48c5abc057e393d5d9dd4581c812821abc4a8a4bbb2fa4db

Observation eb80edd1-aa5a-4b78-b0a8-b991bccd658c · outbound

This paper cites Ffd: Fast feature detector,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Ffd: Fast feature detector,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:39.229640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.178373Z digest=sha256:3276458dcc1314aef91ec8961fb4ba4d1706525698ab25f38b14920a09c4e7c7

Observation d8ca0504-7c6f-401a-a76a-4c3a4a2f1b85 · outbound

This paper cites Proceedings of the international conference on computer vision,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Proceedings of the international conference on computer vision,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:39.208841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.183554Z digest=sha256:76faf59a17f219b43e34d07e4d8fef42e80166ed39e883a864d06dfdb5832cc9

Observation 1fdfb2e2-9418-4239-b009-efca135da288 · outbound

This paper cites Fusing points and lines for high perfor- mance tracking,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Fusing points and lines for high perfor- mance tracking,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:39.088326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.188626Z digest=sha256:e1290e30e8d9829b11c6d07d05101d435590b1055b8afa1ed6c3d6940d39a48f

Observation 6923c653-f2a0-48f1-9f8d-430a18b28fdd · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T10:18:36.193361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:18:36.193361Z digest=sha256:4cd83ca1ab37008d02ab116604bc1d576c3843d1981f0baea5a38635d43ea5ab

Observation 4735e0b0-de16-4c27-909a-620c3c847ae9 · outbound

This paper cites Easyvis: a real-time 3d visualization software system for laparoscopic surgery box trainer,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Easyvis: a real-time 3d visualization software system for laparoscopic surgery box trainer,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T10:18:36.199544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:18:36.199544Z digest=sha256:fde445381c4b759a8efd3f42ef27d8ab86c05ebe4c308c803d95c36e0fe5ec60

Observation 90e6e49e-47e9-4c8c-b2a7-acc627ef3f59 · outbound

This paper cites Yolov8: A novel object detection algorithm with enhanced performance and robustness,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Yolov8: A novel object detection algorithm with enhanced performance and robustness,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T10:18:36.203499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:18:36.203499Z digest=sha256:f8a3c1da7843aaacb24767c4a889aba80ac6a824e4529a5cdf48410c7848995c

Observation 604a3dcd-566e-42e7-987f-85d1d7bb1260 · outbound

This paper cites Towards real-time traffic flow estimation using yolo and sort from surveillance video footage.,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Towards real-time traffic flow estimation using yolo and sort from surveillance video footage.,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.899548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.208074Z digest=sha256:9e5ce75afe858000991c37c657e06123c6ad9b5bf2f7f0568ddefa5c3db985e7

Observation 6fcc0d5d-1281-4977-ad7f-b22dc49456ea · outbound

This paper cites A comprehensive systematic review of yolo for medical object detection (2018 to 2023),.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose A comprehensive systematic review of yolo for medical object detection (2018 to 2023),

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.779202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.214230Z digest=sha256:cdc5988c7255713f30934135cb201988c0296716a107fc919bb84b821f2b9084

Observation 592d9fc9-b607-4253-b494-40d091a5b487 · outbound

This paper cites Surgical tool detection in open surgery based on faster r-cnn, yolo v5 and yolov8,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Surgical tool detection in open surgery based on faster r-cnn, yolo v5 and yolov8,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.764768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.262137Z digest=sha256:47da69320939ad9f86b7a0409f95e27bc9614ca64255c527239822694e450cc1

Observation e56f988d-1a46-407e-9fe3-3bca2b9ce5d0 · outbound

This paper cites Automated brain tumor segmentation and classification in mri using yolo-based deep learning,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Automated brain tumor segmentation and classification in mri using yolo-based deep learning,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.745928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.327291Z digest=sha256:1db318c58d7054a1423bc271fa7c3aafed41a8759c64cd360054dc05e626e7d7

Observation f0b8035a-4286-48c4-8f78-15ff8e285caf · outbound

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

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Yolo-pose: Enhancing yolo for multi person pose estimation using object keypoint similarity loss,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.710769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.333039Z digest=sha256:80578fe1310ee23519320ce6f9ef25e5a7ca92d25b39c361e4ca0def7520d107

Observation e2d3cb2e-f2e8-43fa-a2e6-b99f3a8027fb · outbound

This paper cites Sports movements modification based on 2d joint position using yolo to 3d skeletal model adaptation,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Sports movements modification based on 2d joint position using yolo to 3d skeletal model adaptation,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.684977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.340351Z digest=sha256:b417cf6163394d3af22708d895c0cd6b87e97e29a63949a3ab1063745313df08

Observation d7da2f11-57e3-4df2-916f-86dd5a7f03a3 · outbound

This paper cites Data-driven visual tracking in retinal microsurgery,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Data-driven visual tracking in retinal microsurgery,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.641973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.345601Z digest=sha256:774565d8cd78e9b2c3529cfd7b5469034f1cb50f5cf7cd28ef9bd2d5661bad97

Observation f1200dcb-5689-47e7-9aff-75795a293d8d · outbound

This paper cites Can masses of non-experts train highly accurate image classi- fiers? a crowdsourcing approach to instrument segmentation in laparo- scopic images,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Can masses of non-experts train highly accurate image classi- fiers? a crowdsourcing approach to instrument segmentation in laparo- scopic images,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.625859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.349858Z digest=sha256:0016cdebe183ec04da1ead8d282868db7340dd9b15c82c7b0b99364a37177b8a

Observation 064613f3-2740-4dd1-ab0b-031fbc9e6865 · outbound

This paper cites 6d object pose estimation via viewpoint relation reasoning,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose 6d object pose estimation via viewpoint relation reasoning,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.583766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.355383Z digest=sha256:68b4cffedb477caa8536d0d9a6b7cba47f7060a8a5c9c7111975640685b499b7

Observation fb81726f-83b6-4823-b3af-19641a2bdee7 · outbound

This paper cites Aspp-df-pvnet: atrous spatial pyramid pooling and distance-filtered pvnet for occlusion resistant 6d object pose estimation,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Aspp-df-pvnet: atrous spatial pyramid pooling and distance-filtered pvnet for occlusion resistant 6d object pose estimation,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.534160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.360321Z digest=sha256:2c5373f20f40e260ce14a36fa0b51c084270512fcc5e2e37610c69545c8bb77c

Observation 8ca5d295-e5d0-4190-ba64-97ca3d54bd1b · outbound

This paper cites Gdr-net: Geometry- guided direct regression network for monocular 6d object pose estima- tion,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Gdr-net: Geometry- guided direct regression network for monocular 6d object pose estima- tion,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.517675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.365470Z digest=sha256:1f194c11a0476c80b3189f1fdd7e1485b2bbf36baca68ee51583e6c76f9d51a9

Observation b88bb66b-2b73-40c6-88f8-86f7e86e2511 · outbound

This paper cites Foundationpose: Unified 6d pose estimation and tracking of novel objects,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Foundationpose: Unified 6d pose estimation and tracking of novel objects,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.459474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.370078Z digest=sha256:a5a528abb42389bc69989ee17379ee97588ac32a8ca2b57a9ef05a34c8e595a1

Observation f33c9a48-c763-4903-ae70-c41dddef1bac · outbound

This paper cites Robust 6d object pose estimation by learning rgb-d features,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Robust 6d object pose estimation by learning rgb-d features,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.441718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.448519Z digest=sha256:56e0ff79cc37dc511b1b39ea4b82d4ef34fb0d17b6a9039626845b4a417daccb

Observation 4a450d24-4ab5-4546-bf68-01288104cbb7 · outbound

This paper cites A rgb-d feature fusion network for occluded object 6d pose estimation,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose A rgb-d feature fusion network for occluded object 6d pose estimation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.394668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.536020Z digest=sha256:23799763ffce4640d54b4d1bcc4545849f6a5bdbb3183aeea77fb37996236179

Observation fe1779e1-5799-43a6-8023-8ad15b2aff78 · outbound

This paper cites Hartley and A.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Hartley and A

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T10:18:36.579955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:18:36.579955Z digest=sha256:f04a4eeafd87eb1a1f0e93acc75221c4d73fe1ab59ef44f828a243edccbd1dce

Observation 75e8f7f2-31be-4e59-9628-eb607367374f · outbound

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

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Deeppose: Human pose estimation via deep neural networks,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.260246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.679535Z digest=sha256:4cd47e595b8e90b6af97840d24d66528570a7e44d34f2db35776212c9c5385f0

Observation c7b45a64-0320-4c16-9329-cdf18c21e825 · outbound

This paper cites Openpose: Realtime multi-person 2d pose estimation using part affinity fields,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Openpose: Realtime multi-person 2d pose estimation using part affinity fields,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T10:18:36.712923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:18:36.712923Z digest=sha256:5c9a233bf1afd503a56baae71f043b501a6a0dc23b1fccc34e935122b4a5670c

Observation 9e85755a-258a-4900-b37e-59c3369d0dfa · outbound

This paper cites Deepcut: Joint subset partition and labeling for multi person pose estimation,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Deepcut: Joint subset partition and labeling for multi person pose estimation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.120747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.719620Z digest=sha256:0c5b509550db0a7fead08db641727b8ccf664d6dd52d25cdd110a1055831f504

Observation cd246246-97fb-48cd-abfe-fc462c60d4a4 · outbound

This paper cites Deep high-resolution rep- resentation learning for human pose estimation,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Deep high-resolution rep- resentation learning for human pose estimation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:38.099175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.725213Z digest=sha256:fb59767c90edc2becb66496e6f03c8a89ddc0267fd94da9700148f09430959a4

Observation deaeb962-da44-4093-8615-46dcaf90774c · outbound

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

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Alphapose: Whole-body regional multi-person pose estimation and tracking in real-time,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T10:18:36.731948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:18:36.731948Z digest=sha256:7fff67177d2932e46385571a282b4e3eb1c5161093f997cdebc353613049fa9f

Observation 8f86abdd-f5ac-434b-9bdd-397ddd9b2b21 · outbound

This paper cites RMPE: Regional multi-person pose estimation,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose RMPE: Regional multi-person pose estimation,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T10:18:36.737483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:18:36.737483Z digest=sha256:c24bc477e6183e3ed4d3db96b140e7b0c09b29ef95bfe4db0b9c2ccdcf40a07b

Observation 15658c4a-58de-427a-a26c-cfbd0257addb · outbound

This paper cites Densepose: Dense human pose estimation in the wild,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Densepose: Dense human pose estimation in the wild,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:37.889263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.741605Z digest=sha256:fe64132d23b3815bcea5cc6222b96c24b975568adec604d0ede17cc30821f36c

Observation 8918f6b2-60f2-4d68-806b-dc1f37b84faf · outbound

This paper cites Core50: a new dataset and benchmark for continuous object recognition,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Core50: a new dataset and benchmark for continuous object recognition,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:37.827919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.749580Z digest=sha256:0a83c66dfc02d0f85d06513f9f791620fbb0777322587df68136a451db3855ac

Observation aea21d18-5563-41bd-bb87-41d087d3a566 · outbound

This paper cites Dexycb: A benchmark for capturing hand grasping of objects,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Dexycb: A benchmark for capturing hand grasping of objects,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:37.739452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.755790Z digest=sha256:949f91887dc8f26d48454d0e411f33014e552469361ed0a9ca8ffebae0b19c5f

Observation 420519bb-cc1d-468f-9c81-77f81795d6d6 · outbound

This paper cites Posetrack: A benchmark for human pose estimation and tracking,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Posetrack: A benchmark for human pose estimation and tracking,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:37.720167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.791190Z digest=sha256:564c060abbd3046a6556f5750e0166fe9088c536cfdf04352e2a114efa751189

Observation 4bc9b881-184c-49d1-9209-a7f5fed6e68e · outbound

This paper cites T-less: An rgb-d dataset for 6d pose estimation of texture-less objects,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose T-less: An rgb-d dataset for 6d pose estimation of texture-less objects,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:37.701307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.892099Z digest=sha256:ea7ed5c67762debcef3e0deab7e354e11e01f593aaafd7538e303dbc92903912

Observation dc8dde37-cfdb-413f-9c67-f4c10aff630e · outbound

This paper cites Falling things: A synthetic dataset for 3d object detection and pose estimation,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Falling things: A synthetic dataset for 3d object detection and pose estimation,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:37.530661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.965747Z digest=sha256:8868424d8cdc02aeaf458cede381438e9c6e25acbf25f8d279e60e37d62da843

Observation 30386985-0876-49d3-9f77-fa26fa957220 · outbound

This paper cites Motsynth: How can syn- thetic data help pedestrian detection and tracking?,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Motsynth: How can syn- thetic data help pedestrian detection and tracking?,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:37.435884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.971307Z digest=sha256:3ab59098dd052f04d81d33c6ff824a796985152e450512ff95843037c5ab7b18

Observation 5d6ce9de-b84d-43d8-bdf8-387b61d68c19 · outbound

This paper cites Sapien: A simulated part-based interactive environment,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Sapien: A simulated part-based interactive environment,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:37.416781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.977105Z digest=sha256:cf188de3f777457f9f7eae4d3e71ee24f6d0c6eda93e1fe590cfd91713eeeea2

Observation 981c358a-a11d-4892-af63-a0022272534e · outbound

This paper cites The interpretation of structure from motion,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose The interpretation of structure from motion,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:37.396129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.982002Z digest=sha256:0ef37a89b55d6a54ac7d08d1ea654d4282eb99278a1b70fcb593ab4726c690bd

Observation 360c0568-8bf0-4447-8e03-31445e0aeb0b · outbound

This paper cites Tensorrt,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Tensorrt,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:37.253328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:36.986973Z digest=sha256:3c1c2bad0fb2e1455c5d7e72bfe6363519fea140565325fb6adb56019f1cbdc4

Observation f482015d-a0bc-4e77-96b8-f8a409c7d767 · outbound

This paper cites Putting the Object Back into Video Object Segmentation.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Putting the Object Back into Video Object Segmentation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T10:18:36.992748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:18:36.992748Z digest=sha256:e302902f482efd92fc308bc91c318637c7d52c761ab3c528c3371332c42f7017

Observation 0759347c-c08f-4e0a-b324-dcc36edd5cfb · outbound

This paper cites Microsoft coco: Common objects in context,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Microsoft coco: Common objects in context,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T10:18:37.080083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:18:37.080083Z digest=sha256:b65646197d37dc60efcd5f8e1d98e07692710fa3d75fc63732a028adae1a7654

Observation 1e8c1fee-c348-4067-9528-7d35c2a7517c · outbound

This paper cites Multi-view stereo: A tutorial,.

EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose Multi-view stereo: A tutorial,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T10:18:37.152721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T10:18:37.084971Z digest=sha256:980fdbcb676c24500bf57c616b5fdfc5013655488fe00b1bfec0507ff76db1b9

Pith citing papers

Observation df9ab197-e1b6-4de7-a442-df71b35a91b7 · inbound

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs cites this paper.

C-DOG: Multi-View Multi-instance Feature Association Using Connected {\delta}-Overlap Graphs EasyVis2: A Real Time Multi-view 3D Visualization System for Laparoscopic Surgery Training Enhanced by a Deep Neural Network YOLOv8-Pose

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:15:52.247388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:15:51.942777Z digest=sha256:e9d8ca9730ec16461302b85b7c54fc9e6a1e88471fc7ba7c1df52cf81df66314