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Paper Citation Record · LEDGER

Common Limitations of Image Processing Metrics: A Picture Story

As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2104.05642.

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

pith.paper-citation-record.v1
2104.05642 v8

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T01:30:31.511284Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fcf6b67d-c32c-4693-99da-d615b65ab2de · inbound

MONAI: An open-source framework for deep learning in healthcare cites this paper.

MONAI: An open-source framework for deep learning in healthcare Common Limitations of Image Processing Metrics: A Picture Story

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:54:28.668281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-13T22:54:28.586736Z digest=sha256:57d48aa3d51b195ec51828872f00804b4b95007656de425020dd1cbf81dd80a1

Observation 0cc005e3-2ea3-49f7-869c-80e48e9748dd · inbound

Current validation practice undermines surgical AI development cites this paper.

Current validation practice undermines surgical AI development Common Limitations of Image Processing Metrics: A Picture Story

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:42:17.497242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T01:41:38.726003Z digest=sha256:2da7704b70c5528941226cda1228dcd89a253a899cf8e346721249d488bf22d6

Observation 684931cf-7145-49ed-a70a-9cd75b3f7f5e · inbound

Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-Saharan Africa Dataset cites this paper.

Topology-Driven Fusion of nnU-Net and MedNeXt for Accurate Brain Tumor Segmentation on Sub-Saharan Africa Dataset Common Limitations of Image Processing Metrics: A Picture Story

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T07:52:13.731690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T07:49:52.569523Z digest=sha256:972df7d6679ecf046927bd6a23ff57037ecbd0215819c37592986d3005944ffa

Observation a6f09592-3a8c-4352-9e95-def0c33b51a0 · inbound

NucEval: A Robust Evaluation Framework for Nuclear Instance Segmentation cites this paper.

NucEval: A Robust Evaluation Framework for Nuclear Instance Segmentation Common Limitations of Image Processing Metrics: A Picture Story

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:51:29.834138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T18:35:08.780890Z digest=sha256:28c9f17520f8141133516ffc50b1593083972140517a20d07ad632cdb754d77d

Observation caeed91f-0f87-4911-8f1c-3961cbc8f454 · inbound

NucEval: A Robust Evaluation Framework for Nuclear Instance Segmentation cites this paper.

NucEval: A Robust Evaluation Framework for Nuclear Instance Segmentation Common Limitations of Image Processing Metrics: A Picture Story

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:25:17.486175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T18:35:08.780890Z digest=sha256:a3df5fb34e8a5bca6b85aa06d0ece65e0ad84343e10d642b9463d4fee2c55fb3

Observation adda0d8d-9541-4f70-b690-e0400a776ef8 · inbound

The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\unicode{x2013}$ Multitracer Multicenter Generalization cites this paper.

The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\unicode{x2013}$ Multitracer Multicenter Generalization Common Limitations of Image Processing Metrics: A Picture Story

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:41:10.440496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-08T14:48:17.219453Z digest=sha256:14f72b6dc6dab05b40dfc26588b980a1f7ba3ef2c6ee2b1f62f0848c12f55c4a

Observation 526eacc3-731a-499c-99d0-4b7ceeee2003 · inbound

Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation cites this paper.

Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation Common Limitations of Image Processing Metrics: A Picture Story

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:45:55.322643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-11T01:08:07.996357Z digest=sha256:db59065a7dafa6c2030583e44bf8e59af6c246e0cf9106dac5031f12479b7d08

Observation b091bbfc-31ab-407b-b99c-2dfaebd8a238 · inbound

EPRA U-Net: An Efficient Pyramid Residual Attention Framework for Accurate Infarct Segmentation in Diffusion-Weighted MRI cites this paper.

EPRA U-Net: An Efficient Pyramid Residual Attention Framework for Accurate Infarct Segmentation in Diffusion-Weighted MRI Common Limitations of Image Processing Metrics: A Picture Story

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-12T01:30:31.511284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:30:31.511284Z digest=sha256:b3232f1ad5cc5f7a027bbe0a5c24e11338574d71e93f090cf67aef1604e36c35