Paper Citation Record · LEDGER

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation

As of 11 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2507.03923.

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

pith.paper-citation-record.v1
2507.03923 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:03:02.360794Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:14:00.689520Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:20:57.852940Z

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy15
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3fcb3c7-9759-46c8-a9f9-c4ccdfff8205 · outbound

This paper cites Semi-supervised semantic segmentation with cross pseudo supervision.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Semi-supervised semantic segmentation with cross pseudo supervision

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.890519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bd28dc38-ff41-4c60-ab75-b26e0e80dd7a · outbound

This paper cites Tailoring automated data augmentation to h&e-stained histopathology.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Tailoring automated data augmentation to h&e-stained histopathology

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.871087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 956b10d8-7dcb-4a88-97cd-eb234008be74 · outbound

This paper cites Albertson, Benjamin J.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Albertson, Benjamin J

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.847511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 71d45e65-b0e8-4e9a-be01-13a9b0f12bd3 · outbound

This paper cites Mild-net: Minimal information loss dilated network for gland instance segmentation in colon histology images.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Mild-net: Minimal information loss dilated network for gland instance segmentation in colon histology images

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.824345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7e31870e-f320-465d-859a-646f2dcde89d · outbound

This paper cites an unresolved cited work.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:03:02.804433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3fcccf32-8561-40a1-9bde-e606d0fb655e · outbound

This paper cites Semi-supervised medical image segmentation via cross teaching between cnn and transformer.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Semi-supervised medical image segmentation via cross teaching between cnn and transformer

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.774739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 17dab58d-afaf-4973-99c4-01407ce0f8db · outbound

This paper cites Semi-supervised histopathology image segmentation with feature diversified collaborative learning.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Semi-supervised histopathology image segmentation with feature diversified collaborative learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.750471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3f534268-64e8-4400-8adc-f55414c9491c · outbound

This paper cites Fetal-bcp: Addressing empirical distribution gap in semi-supervised fetal ultrasound segmentation.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Fetal-bcp: Addressing empirical distribution gap in semi-supervised fetal ultrasound segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:03:02.312528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eb045c4-6f03-4c80-9de0-57280285f190 · outbound

This paper cites an unresolved cited work.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:03:02.318026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51242faf-b161-4988-b23f-c731934c5be9 · outbound

This paper cites Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.711432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a3b147c3-9b2c-430b-958d-06a391133975 · outbound

This paper cites Cubuk, Alex Kurakin, Han Zhang, and Colin Raffel.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Cubuk, Alex Kurakin, Han Zhang, and Colin Raffel

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.684542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c45fc6f8-279c-4cdb-a247-741c95dd472e · outbound

This paper cites Corrmatch: Label propagation via correlation matching for semi-supervised semantic segmentation.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Corrmatch: Label propagation via correlation matching for semi-supervised semantic segmentation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.652150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 206ce551-7181-4526-afa6-3579774bbcb8 · outbound

This paper cites Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.631559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 537e7676-7d8e-4940-9d6f-ffcf515714e9 · outbound

This paper cites Conflict-based cross-view consistency for semi-supervised semantic segmentation.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Conflict-based cross-view consistency for semi-supervised semantic segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.608912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dd84a618-04ba-46a2-8e6a-cbbaf00dab9b · outbound

This paper cites Revisiting representation learning of color information: Color medical image segmentation incorporating quaternion.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Revisiting representation learning of color information: Color medical image segmentation incorporating quaternion

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.586554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 36f25669-9e55-4b9b-bb79-db52c3fca3ad · outbound

This paper cites Structural uncertainty estimation for medical image segmentation.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Structural uncertainty estimation for medical image segmentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.561555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c97ec744-c8f8-45ec-ba38-eeaf0aa13632 · outbound

This paper cites Uncertainty-aware self-ensembling model for semi-supervised 3d left atrium segmentation.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation Uncertainty-aware self-ensembling model for semi-supervised 3d left atrium segmentation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.544233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8c54c643-048d-4ea7-81e8-54588b88542d · outbound

This paper cites A review of uncertainty estimation and its application in medical imaging.

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation A review of uncertainty estimation and its application in medical imaging

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:03:02.525344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation d49b5ada-1ae4-40a6-b643-2fe8aa1c10fa · inbound

UniSemAlign: Text-Prototype Alignment with a Foundation Encoder for Semi-Supervised Histopathology Segmentation cites this paper.

UniSemAlign: Text-Prototype Alignment with a Foundation Encoder for Semi-Supervised Histopathology Segmentation Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:20:57.855620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.