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Paper Citation Record · LEDGER

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation

As of 8 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2505.23587.

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

pith.paper-citation-record.v1
2505.23587 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:46:49.014040Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

12 of 12 outbound references displayed

  • verified exact6
  • verified fuzzy1
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 396084b5-e5d5-4f67-99ab-dab0f32bc8f6 · outbound

This paper cites Dataset of breast ultrasound images.

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation Dataset of breast ultrasound images

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:46:48.155870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:46:48.155870Z digest=sha256:67c11f0b05df8eb15ccd6d408c7fd813224940ad454717093cbf49a1ec27ec67

Observation 552b4cfa-03ac-4ea5-b47d-35f2dd84b197 · outbound

This paper cites On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness.

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness

Reference 3

Resolution
verified exact
doi, observed 2026-08-07T12:46:50.043728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:46:48.271181Z digest=sha256:f1b27390e10d968802b5058f6d024d6d431afbd03b19adc024c0f9205712b0bd

Observation 6aaf2845-0d66-447a-8bb5-1b0aebcaab7e · outbound

This paper cites BUS-BRA: A breast ultrasound dataset for assessing computer-aided diagnosis systems.

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation BUS-BRA: A breast ultrasound dataset for assessing computer-aided diagnosis systems

Reference 4

Resolution
verified exact
doi, observed 2026-08-07T12:46:49.876470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:46:48.325289Z digest=sha256:f6c0520a6c9e2d0a19b60b88bb8d528a7f31534d4b73ab22866a48fb17d822ad

Observation 213f0f5a-8162-4888-ac46-650942efb2e0 · outbound

This paper cites Domain Adaptation for Medical Image Analysis: A Survey.

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation Domain Adaptation for Medical Image Analysis: A Survey

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:46:48.405060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:46:48.405060Z digest=sha256:8bbf074e72bb66972cfba0ea3a91845757c4bcee8f435c17d3792fb7ad1e49c4

Observation fa815780-66dc-4039-b997-fda8963c010c · outbound

This paper cites BUSI\_WHU: Breast Cancer Ultrasound Image Dataset.

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation BUSI\_WHU: Breast Cancer Ultrasound Image Dataset

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:46:48.464697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:46:48.464697Z digest=sha256:bc84483add77e389f5df6561922aa940912aa4bfe2d9af323539acf1de06b954

Observation 44151d9b-5e6e-4df3-ac4c-a2481873be78 · outbound

This paper cites Memory-efficient transformer network with feature fusion for breast segmentation and classification task.

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation Memory-efficient transformer network with feature fusion for breast segmentation and classification task

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:46:48.531074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:46:48.531074Z digest=sha256:23544420b701ee384440ff53c3137125661c18ad476fe4afd5d9417eec31320b

Observation fd019ab7-8199-4aad-bce6-8fca5023088d · outbound

This paper cites Principal component analysis: A review and recent developments.

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation Principal component analysis: A review and recent developments

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:46:50.422132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:46:48.615795Z digest=sha256:16385e683b6d4570518a27245bf4c36c368b18e3c024b747c867c4c5f67158bf

Observation 83b167f4-753e-4f6a-ad71-52e980af82d6 · outbound

This paper cites Contemporary Analysis of Reexcision and Conversion to Mastectomy Rates and Associated Healthcare Costs for Women Undergoing Breast-Conserving Surgery.

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation Contemporary Analysis of Reexcision and Conversion to Mastectomy Rates and Associated Healthcare Costs for Women Undergoing Breast-Conserving Surgery

Reference 9

Resolution
verified exact
doi, observed 2026-08-07T12:46:49.709917Z

Source-reported events for the cited work

correction dated 2024-03-23. Source: crossref record 10.1245/s10434-024-15212-0->10.1245/s10434-024-14902-z:correction, observed 2026-07-11T03:06:06.034151+00:00. This notice travels one citation hop only.

source=arxiv_source observed=2026-08-07T12:46:48.682815Z digest=sha256:ffbd95a15c4ea7c8b7c6d6a482db0774bc66d54fa93dae258073cec09b423327

Observation 9c15e064-570d-4cad-bb09-f50a27983bdb · outbound

This paper cites Style transfer generative adversarial networks to harmonize multisite MRI to a single reference image to avoid overcorrection.

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation Style transfer generative adversarial networks to harmonize multisite MRI to a single reference image to avoid overcorrection

Reference 10

Resolution
verified exact
doi, observed 2026-08-07T12:46:49.542882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:46:48.753538Z digest=sha256:c97b8e906ceaa7663ea35028b346b91d248f32cbc63313f31a659dd75ca8ca23

Observation 59a94585-1f79-4e82-8a7d-8b7e5cb92ffb · outbound

This paper cites Curated benchmark dataset for ultrasound based breast lesion analysis.

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation Curated benchmark dataset for ultrasound based breast lesion analysis

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:46:48.842948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:46:48.842948Z digest=sha256:ee6a6318b7de28cc2fe3cf54d43c278f4cabc1efba83d5ced320910d3b714443

Observation e917d60b-ebbb-4b40-a2be-a0246be95b99 · outbound

This paper cites Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentation.

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentation

Reference 12

Resolution
verified exact
doi, observed 2026-08-07T12:46:49.359061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:46:48.940013Z digest=sha256:4e131f4928d57d6e24c1234f3ed98e38456420da93b42b4aed1a215e2e99857c

Observation 4a79f472-4a14-47bd-af27-b3df174c6807 · outbound

This paper cites External Validation of Deep Learning Algorithms for Radiologic Diagnosis: A Systematic Review.

PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation External Validation of Deep Learning Algorithms for Radiologic Diagnosis: A Systematic Review

Reference 13

Resolution
verified exact
doi, observed 2026-08-07T12:46:49.191223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:46:49.014040Z digest=sha256:6238c0c344b17c8639b5d4839af5ffc41e13ab635a3d860367f217617b04dc21

Pith citing papers

No inbound Pith citation observations are available.