Paper Citation Record · LEDGER

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit

As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:1908.03339.

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

pith.paper-citation-record.v1
1908.03339 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:20:20.430838Z

measured 18 of 18 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 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

18 of 18 outbound references displayed

verified exact2
verified fuzzy4
unresolved10
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ece8dd27-9d48-4260-9ff7-78b1c9755647 · outbound

This paper cites an unresolved cited work.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:20:21.028750Z

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 23577b05-f50d-4d1c-ac83-c19b0ebb0724 · outbound

This paper cites an unresolved cited work.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T14:20:20.351766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8c86b5f-51da-4daf-9588-89c813709e8f · outbound

This paper cites 2011 Oct;38(10):5738-46.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit 2011 Oct;38(10):5738-46

Reference 3

Resolution: verified exact; doi, observed 2026-08-14T14:20:20.467080Z

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 c878d147-9647-4caf-b77d-ac0d44abfd12 · outbound

This paper cites an unresolved cited work.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T14:20:20.362439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94622e43-2a76-43f8-b5aa-6da586344268 · outbound

This paper cites an unresolved cited work.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:20:21.012417Z

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 0360e67a-7554-45da-8155-bb10f6ad82ca · outbound

This paper cites an unresolved cited work.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit Unresolved cited work

Reference 6

Resolution: malformed identifier; raw_fallback, observed 2026-08-14T14:20:20.854305Z

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 1dba8ad9-7c18-46a4-89a9-a79d2542f9ad · outbound

This paper cites Pal ,: Convolutional networks for kidney segmentation in contrast -enhanced CT scans , Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2016.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit Pal ,: Convolutional networks for kidney segmentation in contrast -enhanced CT scans , Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2016

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T14:20:20.377025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96658528-62b7-4bb4-845d-9deb05c8047b · outbound

This paper cites Jakubowski and T.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit Jakubowski and T

Reference 8

Resolution: metadata mismatch; raw_fallback, observed 2026-08-14T14:20:20.711650Z

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 f2e540da-ff38-4f2c-8b49-0fe935fe85c3 · outbound

This paper cites an unresolved cited work.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:20:20.995098Z

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 c2cca053-9408-49c6-8e86-89e1a356dae9 · outbound

This paper cites Wang et al .: Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning, in IEEE Transactions on Medical Imaging , vol.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit Wang et al .: Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning, in IEEE Transactions on Medical Imaging , vol

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T14:20:20.391581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9d5cbb9-a012-4854-8607-9dc776ce9c8d · outbound

This paper cites U -net: Convolutional networks for biomedical image segmentation.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit U -net: Convolutional networks for biomedical image segmentation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:20:20.980193Z

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 3945ef54-fc91-4bf3-9c80-4b67fdcafbee · outbound

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

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:20:20.964462Z

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 aa570464-3cd7-467a-a501-f70b0995b3ee · outbound

This paper cites Deepcontour: A deep convolutional feature learned by positive -sharing loss for contour detection.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit Deepcontour: A deep convolutional feature learned by positive -sharing loss for contour detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:20:20.949254Z

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 ad69702e-985a-478a-9fe6-85366f41433a · outbound

This paper cites An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T14:20:20.410670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7988469d-bd78-4d8c-9a07-ba6f91df55ab · outbound

This paper cites SkeletonNet: Shape Pixel to Skeleton Pixel.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit SkeletonNet: Shape Pixel to Skeleton Pixel

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:20:20.534068Z

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 4332874e-4760-4e61-8da9-55ded2aceaa1 · outbound

This paper cites CBAM: Convolutional Block Attention Module.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit CBAM: Convolutional Block Attention Module

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T14:20:20.420914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ff2e85f-6912-4fa9-8ceb-5ab5326e3e1b · outbound

This paper cites Deep residual learning for image recognition.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit Deep residual learning for image recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:20:20.933767Z

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 ced65fde-875f-4ec7-85ec-6adf7fc2da67 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Hyper Vision Net: Kidney Tumor Segmentation Using Coordinate Convolutional Layer and Attention Unit Adam: A Method for Stochastic Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T14:20:20.430838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.