Paper Citation Record · LEDGER

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2507.03325.

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

pith.paper-citation-record.v1
2507.03325 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:19:15.530782Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy10
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fa517b4f-82f8-4aa2-97f7-9a5f5550e3d0 · outbound

This paper cites Artificial Intelligence Review 56, 12561–12605.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation Artificial Intelligence Review 56, 12561–12605

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:18.231096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5305534c-a25c-440e-b5a9-19a24d2f8fe7 · outbound

This paper cites Amulti-organnucleussegmenta- tion challenge.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation Amulti-organnucleussegmenta- tion challenge

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:17.678342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15cb9080-8585-42d0-883b-0abf5e175360 · outbound

This paper cites Training a universal instance segmentation network for live cell images of various cell types and imaging modalities.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation Training a universal instance segmentation network for live cell images of various cell types and imaging modalities

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T20:19:16.120192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f6984386-877e-4b2b-824b-9e37acbce076 · outbound

This paper cites Infrared,.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation Infrared,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:18.058284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e29f03e-dcad-44b3-b61f-eca3b097dd80 · outbound

This paper cites Computers in Biology and Medicine 132, 104349.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation Computers in Biology and Medicine 132, 104349

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:17.245340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a00c0ea-9c06-48fe-8dd8-6ef6d2310d92 · outbound

This paper cites The Effectiveness of Data Augmentation in Image Classification using Deep Learning.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation The Effectiveness of Data Augmentation in Image Classification using Deep Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:19:14.816311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1fdd289-7852-424a-b555-e6fa012ece2c · outbound

This paper cites Perineural Invasion Detection in Multiple Organ Cancer Based on Deep Convolutional Neural Network.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation Perineural Invasion Detection in Multiple Organ Cancer Based on Deep Convolutional Neural Network

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T20:19:15.815071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c3fe2eb1-2236-4f92-852f-72744ce6f588 · outbound

This paper cites TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:19:15.001508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b74a008-557a-4ab9-9b27-ab580cabf967 · outbound

This paper cites IEEE Access 9, 82031–82057.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation IEEE Access 9, 82031–82057

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:17.029323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9be542d-14d3-4426-a0f2-b8a2638d3b29 · outbound

This paper cites Biomedical Optics Express 15, 4584–4604.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation Biomedical Optics Express 15, 4584–4604

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:16.483542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4f3ed992-11a4-4b52-8bf3-139e6b78fc59 · outbound

This paper cites IEEE Reviews in Biomedical Engineering 9, 234–263.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation IEEE Reviews in Biomedical Engineering 9, 234–263

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:16.675373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0c060873-4f9b-42d5-be33-14833ca97561 · outbound

This paper cites IEEE Transactions on Medical Imaging 36, 1550–1560.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation IEEE Transactions on Medical Imaging 36, 1550–1560

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:17.466443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b055892f-2b39-442c-b779-d908e5c294cd · outbound

This paper cites PanNuke Dataset Extension, Insights and Baselines.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation PanNuke Dataset Extension, Insights and Baselines

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T20:19:13.892722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33efca0e-95b9-404a-bc6f-b65cd827db2f · outbound

This paper cites Medical Image Analysis.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation Medical Image Analysis

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:17.868968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b63ae261-8628-4c0f-b18e-87c8f199b4f5 · outbound

This paper cites CoNIC: Colon Nuclei Identification and Counting Challenge 2022.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation CoNIC: Colon Nuclei Identification and Counting Challenge 2022

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T20:19:14.115398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fecf46ce-37e1-4d43-a2eb-3cb3dd08c4ec · outbound

This paper cites Augmenting Medical Imaging: A Comprehensive Catalogue of 65 Techniques for Enhanced Data Analysis.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation Augmenting Medical Imaging: A Comprehensive Catalogue of 65 Techniques for Enhanced Data Analysis

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T20:19:13.822823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ad4a750-e942-496d-8d2a-27ef8b70c630 · outbound

This paper cites Computerized Medical Imaging and Graphics 112, 102339.

Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation Computerized Medical Imaging and Graphics 112, 102339

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:19:16.823867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.