Paper Citation Record · LEDGER

Image Segmentation: Inducing graph-based learning

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 2 inbound Pith citation observations for arXiv:2501.03765.

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

pith.paper-citation-record.v1
2501.03765 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:50:16.075787Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:16:47.060463Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:41:15.755338Z

Reference resolution

25 of 25 outbound references displayed

verified exact4
verified fuzzy1
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6def0f24-cb2c-4506-9b4e-e84fa0c7ba4b · outbound

This paper cites an unresolved cited work.

Image Segmentation: Inducing graph-based learning Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:15.812873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e334d30-3e84-440d-a807-10fc89ea118d · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Image Segmentation: Inducing graph-based learning U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:15.819499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb347f4c-b1ee-4c0c-a4d3-cef65ad742ad · outbound

This paper cites UNet++: A Nested U-Net Architecture for Medical Image Segmentation.

Image Segmentation: Inducing graph-based learning UNet++: A Nested U-Net Architecture for Medical Image Segmentation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:15.833361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2517264b-ef4e-422c-ae66-7702cd09b28c · outbound

This paper cites Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation.

Image Segmentation: Inducing graph-based learning Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:15.850186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d6a9eb6-6b4f-49e0-909e-76586a2608a0 · outbound

This paper cites Surround-view Fisheye Camera Perception for Automated Driving: Overview, Survey and Challenges.

Image Segmentation: Inducing graph-based learning Surround-view Fisheye Camera Perception for Automated Driving: Overview, Survey and Challenges

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:50:17.274743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f962be38-541f-4b22-bd92-bf9d5d8d0ebf · outbound

This paper cites C., Hagenbuchner, M., and Monfardini, G.

Image Segmentation: Inducing graph-based learning C., Hagenbuchner, M., and Monfardini, G

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:15.875028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dccf310-b654-44d1-8629-4d78742805ee · outbound

This paper cites Vision GNN: An Image is Worth Graph of Nodes.

Image Segmentation: Inducing graph-based learning Vision GNN: An Image is Worth Graph of Nodes

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:15.882317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6ac206c-f861-4468-926b-2ae7cc991441 · outbound

This paper cites Adapting CNNs for Fisheye Cameras without Retraining.

Image Segmentation: Inducing graph-based learning Adapting CNNs for Fisheye Cameras without Retraining

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:15.887783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e80b1ea-f19b-4d16-9460-54af3e1523b9 · outbound

This paper cites an unresolved cited work.

Image Segmentation: Inducing graph-based learning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:50:17.859918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 943de4fa-ce62-493e-9646-2eed06d39635 · outbound

This paper cites WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving.

Image Segmentation: Inducing graph-based learning WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:15.901023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f52cbff-4cbb-4e97-bb83-a3b9845321ef · outbound

This paper cites Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC).

Image Segmentation: Inducing graph-based learning Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:15.907888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d46212a-5404-41a8-9236-5a25723310a5 · outbound

This paper cites Muhammad, T.

Image Segmentation: Inducing graph-based learning Muhammad, T

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:50:17.766005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 39674a06-96eb-4aaa-bcf6-62261bbe2094 · outbound

This paper cites Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving.

Image Segmentation: Inducing graph-based learning Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:50:16.675395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b57536c5-aaba-4d31-a9e1-e67652fd0279 · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

Image Segmentation: Inducing graph-based learning Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:15.961355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf854bc0-dd02-4131-8f45-e78c2476179b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Image Segmentation: Inducing graph-based learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:15.981752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08752432-d53a-44b3-a22d-dcb90692ad0a · outbound

This paper cites an unresolved cited work.

Image Segmentation: Inducing graph-based learning Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:50:17.642812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c6a6de5b-1670-4aa4-a4cd-32d6403ffb0f · outbound

This paper cites Spherical Feature Pyramid Networks For Semantic Segmentation.

Image Segmentation: Inducing graph-based learning Spherical Feature Pyramid Networks For Semantic Segmentation

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:50:16.594613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8ad2e8fd-9a9b-4379-9a14-768852814286 · outbound

This paper cites Scaramuzza, A.

Image Segmentation: Inducing graph-based learning Scaramuzza, A

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:16.025022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1f08c4d-9365-4f8e-8eba-29bdf92a74bd · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Image Segmentation: Inducing graph-based learning Semi-Supervised Classification with Graph Convolutional Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:16.033412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca651530-7514-4f9f-be3c-452e370e5b60 · outbound

This paper cites an unresolved cited work.

Image Segmentation: Inducing graph-based learning Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:16.044755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc8acd67-e50e-48ba-8325-6861a02a7518 · outbound

This paper cites Attention Is All You Need.

Image Segmentation: Inducing graph-based learning Attention Is All You Need

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:16.054212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7f3c58e-406c-452f-9c09-3da0342b9139 · outbound

This paper cites Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks.

Image Segmentation: Inducing graph-based learning Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:16.060148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbd1fec2-dce4-4a3f-ab3e-a9f2ac923660 · outbound

This paper cites Joint Demosaicking / Rectification of Fisheye Camera Images using Multi-color Graph Laplacian Regularization.

Image Segmentation: Inducing graph-based learning Joint Demosaicking / Rectification of Fisheye Camera Images using Multi-color Graph Laplacian Regularization

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:50:16.196231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d49b1816-cbf7-4a85-8116-77b1be205d54 · outbound

This paper cites Fidon, W.

Image Segmentation: Inducing graph-based learning Fidon, W

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:50:16.075787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3362b9ff-7ced-4cd7-8289-c7fd8bc1e864 · outbound

This paper cites an unresolved cited work.

Image Segmentation: Inducing graph-based learning Unresolved cited work

Reference 2022

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T21:50:16.782785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation bb460bd4-f447-4e9f-ad09-05f2e141e85d · inbound

Graph Neural Network Reveals the Cortical Morphology of Local Brain Aging in Normal Cognition and Alzheimer's Disease cites this paper.

Graph Neural Network Reveals the Cortical Morphology of Local Brain Aging in Normal Cognition and Alzheimer's Disease Image Segmentation: Inducing graph-based learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T10:16:47.060463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ca9eac1-3ae4-4875-9767-fb89c9c45a4e · inbound

Graph-augmented Segmentation of Complex Shapes in Laser Powder bed Fusion for Enhanced In Situ Inspection cites this paper.

Graph-augmented Segmentation of Complex Shapes in Laser Powder bed Fusion for Enhanced In Situ Inspection Image Segmentation: Inducing graph-based learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:41:15.758648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.