Paper Citation Record · LEDGER

An attempt at beating the 3D U-Net

As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:1908.02182.

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

pith.paper-citation-record.v1
1908.02182 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:54:34.772352Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T12:11:59.575292Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:09:41.108782Z

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy7
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d406625-a48b-4fbc-8111-ddf552b78e8a · outbound

This paper cites The Liver Tumor Segmentation Benchmark (LiTS).

An attempt at beating the 3D U-Net The Liver Tumor Segmentation Benchmark (LiTS)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T14:54:34.677111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8018616-7039-410d-a5a8-55422cf363b8 · outbound

This paper cites In: International conference on medical image computing and computer-assisted intervention.

An attempt at beating the 3D U-Net In: International conference on medical image computing and computer-assisted intervention

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T14:54:34.684500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e2533c2-1c3a-45ec-9eb7-58fd512eb2fa · outbound

This paper cites European urology 56(5), 786–793 (2009).

An attempt at beating the 3D U-Net European urology 56(5), 786–793 (2009)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:54:35.110245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9fcbaf4e-7783-4268-adfc-df342b36daf0 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

An attempt at beating the 3D U-Net In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T14:54:34.695140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 275fc803-04dc-4870-a516-7fb2ff882941 · outbound

This paper cites In: European conference on computer vision.

An attempt at beating the 3D U-Net In: European conference on computer vision

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T14:54:34.700099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bb549d1-4ff6-40e8-a2e5-f1abe25dc784 · outbound

This paper cites The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes.

An attempt at beating the 3D U-Net The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T14:54:34.706237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a51c8cc3-5ca0-4449-b81c-d5b7c69c28c9 · outbound

This paper cites Automated Design of Deep Learning Methods for Biomedical Image Segmentation.

An attempt at beating the 3D U-Net Automated Design of Deep Learning Methods for Biomedical Image Segmentation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T14:54:34.711783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 914be0d7-7db2-497f-9769-455483bcf4ba · outbound

This paper cites The Journal of urology 182(3), 844–853 (2009).

An attempt at beating the 3D U-Net The Journal of urology 182(3), 844–853 (2009)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:54:35.063228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3f4d2adf-d54e-4f0c-858f-0c45bbd2dbbe · outbound

This paper cites an unresolved cited work.

An attempt at beating the 3D U-Net Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:54:35.044252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e091f46-45e9-42d9-84a2-96e4df1d1955 · outbound

This paper cites IEEE TMI 37(12), 2663–2674 (2018).

An attempt at beating the 3D U-Net IEEE TMI 37(12), 2663–2674 (2018)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:54:35.017438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 61795e1e-8731-4269-8300-71390ba16ea8 · outbound

This paper cites In: International Conference on 3D Vision (3DV).

An attempt at beating the 3D U-Net In: International Conference on 3D Vision (3DV)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:54:34.998953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe7fed78-4f5a-4af9-ab1b-38c10d3e14f8 · outbound

This paper cites an unresolved cited work.

An attempt at beating the 3D U-Net Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T14:54:34.737119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ad718ed-a770-4b75-915e-8bd79f9bded4 · outbound

This paper cites In: MICCAI.

An attempt at beating the 3D U-Net In: MICCAI

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T14:54:34.743264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ac27d93-f8c7-4aaf-98fd-94b2fb5ed19f · outbound

This paper cites A large annotated medical image dataset for the development and evaluation of segmentation algorithms.

An attempt at beating the 3D U-Net A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T14:54:34.750466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15cfae63-ebe3-4e89-8530-18e30e25ab89 · outbound

This paper cites In: 2016 IEEE International Conference on Imaging Systems and Techniques (IST).

An attempt at beating the 3D U-Net In: 2016 IEEE International Conference on Imaging Systems and Techniques (IST)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:54:34.955774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0eebf538-d237-478a-9ddd-69ffff189bdc · outbound

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

An attempt at beating the 3D U-Net In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:54:34.935494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6f1ce7d3-4cba-485e-acb7-2385564f25b9 · outbound

This paper cites In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

An attempt at beating the 3D U-Net In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:54:34.917027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6e835ddc-db7c-40cb-be80-2f874838bfc0 · outbound

This paper cites Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images.

An attempt at beating the 3D U-Net Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T14:54:34.820774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation f5734249-2d74-4f6c-8197-f4843db4d369 · inbound

From Convolution to Transformer: A Comparative Study of U-Net Variants for Brain Tumor and Retinal Vessel Segmentation cites this paper.

From Convolution to Transformer: A Comparative Study of U-Net Variants for Brain Tumor and Retinal Vessel Segmentation An attempt at beating the 3D U-Net

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:09:41.110695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.