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Paper Citation Record · LEDGER

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs

As of 16 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:1908.08588.

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

pith.paper-citation-record.v1
1908.08588 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:38:12.784769Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f60b9c95-d0a3-431c-b22f-86cfc0e80e73 · outbound

This paper cites IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:38:12.970986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:38:12.737708Z digest=sha256:7f7884fb610c6aea3bbc680e5889b2e2081d025a38b360adee249d1d0ea590bc

Observation 80d94e4d-c741-4b0f-a1e7-b7df0150451f · outbound

This paper cites Medical Image Computing and Computer-Assisted Inter- vention MICCAI, pp.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs Medical Image Computing and Computer-Assisted Inter- vention MICCAI, pp

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:38:12.959199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:38:12.742356Z digest=sha256:60843d3b1fbbed03d44665b0f3658bb1ad6ebfd101c954097d2508c6a14f8f52

Observation 998a5685-732b-4da0-89f0-506a61ff0dd0 · outbound

This paper cites IEEE Transactions on Neural Networks, 20(1):6180, 2009.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs IEEE Transactions on Neural Networks, 20(1):6180, 2009

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:38:12.948464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:38:12.746494Z digest=sha256:e1b0f87caf52c37fdf235e8a7deefc1242e03b1726a2c7d1fb8c829553ad80dd

Observation 95d87cd7-13f8-474d-b26f-d3aa9e21fc2d · outbound

This paper cites and Welling, M.: Semi-supervised classification with graph convolutional networks.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs and Welling, M.: Semi-supervised classification with graph convolutional networks

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:38:12.937692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:38:12.750451Z digest=sha256:bf5e5750f7dbe1a74c009c35245f0d2ec25848b29fe9fe1d4f147b71d8f85d0b

Observation b75effd6-9185-40a0-8968-20a141de4da7 · outbound

This paper cites et al: Extraction of Airways From CT (EXACT09).

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs et al: Extraction of Airways From CT (EXACT09)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:38:12.926542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:38:12.754881Z digest=sha256:18aa91ade32f6d8c4aa0c877063d0ad91bdef93e4f97283ab6b853112e5ded1d

Observation d1b3c2af-26bb-4609-beca-3b8390c22806 · outbound

This paper cites Medical Image Computing and Computer-Assisted Intervention MICCAI 2017, pp.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs Medical Image Computing and Computer-Assisted Intervention MICCAI 2017, pp

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:38:12.914825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:38:12.759416Z digest=sha256:6cba32810b10c3dfdccbbde35737cbec84b0fab65d16272948fe46d3a1f568da

Observation 78d4bc56-4325-45be-bbb0-0ea3e32cdb0a · outbound

This paper cites Thoracic Image Analysis Workshop, pp 238-250, 2018.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs Thoracic Image Analysis Workshop, pp 238-250, 2018

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:38:12.903477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:38:12.763630Z digest=sha256:ce1d34855d6c4632dfa4533a3b1ad7e903823ff633c7560a834da6ff7239f109

Observation 7ea34b57-6fe6-4294-940b-ccf3d44adca6 · outbound

This paper cites 1st Conference on Medical Imaging with Deep Learning, Amsterdam, 2018.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs 1st Conference on Medical Imaging with Deep Learning, Amsterdam, 2018

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:38:12.891316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:38:12.766958Z digest=sha256:c2b13a803675dd26292ffb3ee9bcd6f937af0888e532d1d201b936c4dda169e8

Observation 1d80f0a3-ff2b-4177-bb18-1f160b848dd4 · outbound

This paper cites Deep Vessel Segmentation By Learning Graphical Connectivity.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs Deep Vessel Segmentation By Learning Graphical Connectivity

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T11:38:12.823847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:38:12.770448Z digest=sha256:4bb19759c612261fb1ce720cf5fcd3f734139b4e0fee320465402978b0e25d33

Observation a0d3d01c-7d56-4ca5-ad31-507e1444a4c0 · outbound

This paper cites Medical image analysis 18, pp.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs Medical image analysis 18, pp

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:38:12.878582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:38:12.774446Z digest=sha256:326554f8aeb921ad8a9102f2074561fb18d2c44cc39fcf4d77755f2b73d921c2

Observation a32b7d40-784a-425b-a22f-3fc50ff5379e · outbound

This paper cites Medical image analysis 14.4, pp.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs Medical image analysis 14.4, pp

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:38:12.865227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:38:12.777809Z digest=sha256:70dbe0ea7a207f71a7971090e5556510c99b9fd9f2f489a97570205ffc55dcd2

Observation fb53c4ba-6c39-4950-a601-774ceacf7f3a · outbound

This paper cites International Conference on Medical Image Computing and Computer-Assisted Intervention.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:38:12.851347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:38:12.781288Z digest=sha256:36f156604b64d5487bf636df7eb4d403717857bc4c996d15038f4b1f6d655bf8

Observation 775347af-6129-4fac-9115-46a29e3230be · outbound

This paper cites Journal of Thoracic Oncology 4.5, pp.

A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs Journal of Thoracic Oncology 4.5, pp

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:38:12.837898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T11:38:12.784769Z digest=sha256:7d46c872c76021c2c28cd949eb494d7d81ffb16f225294383e1a3773d2408ce6

Pith citing papers

No inbound Pith citation observations are available.