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Paper Citation Record · LEDGER

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images

As of 12 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2501.03891.

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

pith.paper-citation-record.v1
2501.03891 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:49:18.279952Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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 exact0
  • verified fuzzy11
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bbac5d5c-d5a1-4f17-94a2-ae1670c0c77f · outbound

This paper cites Suggestive annotation: A deep active learning framework for biomedical image segmentation.

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images Suggestive annotation: A deep active learning framework for biomedical image segmentation

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:49:18.483377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:49:18.223119Z digest=sha256:8c3af7211dff49e5b5eb6b3a247bb6cbe11e46c7c7fef5e453a634f7cace72db

Observation f1b39527-6450-42f9-bc48-5ea807afe3a7 · outbound

This paper cites Semi-supervised medical image classification with relation-driven self-ensembling model.

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images Semi-supervised medical image classification with relation-driven self-ensembling model

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:49:18.468925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:49:18.229068Z digest=sha256:efd3737381c6c89c640dafd7a393d830ea68fd079b8e59afd496d1018d38ccf7

Observation 76f5fd28-9e94-40c2-979d-64e8eeddd776 · outbound

This paper cites A comprehensive analysis of weakly-supervised semantic segmentation in different image domains.

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images A comprehensive analysis of weakly-supervised semantic segmentation in different image domains

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:49:18.454004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:49:18.234266Z digest=sha256:8e172c1c467559923516ea7e8ba349715b07505c3f187a37a76fc2f85bca637e

Observation 7537e34d-8a61-41c2-bf46-7578218f415a · outbound

This paper cites WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T21:49:18.238925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:49:18.238925Z digest=sha256:7fde13c0cf6ea3e8cf0039ec3a0eb32c951c75b039f68a2ad765c4a36e421f97

Observation 2b2299e9-75b1-4f2d-92e2-1857b932c974 · outbound

This paper cites Learning deep features for discriminative localization.

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images Learning deep features for discriminative localization

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:49:18.440165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:49:18.243740Z digest=sha256:2143ff573bf7a2d6946dcecbb8d631aaa67aa5fa1c4b04db3a006079dda93d1a

Observation 58e79550-4456-48ce-b46f-7d6ad5e3bd06 · outbound

This paper cites Deep learning in medical image analysis.

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images Deep learning in medical image analysis

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:49:18.425611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:49:18.248696Z digest=sha256:18238f29e4f24e00b7e4e1004044823ae472fa0302e004cb4adb93000438b82a

Observation 17377458-dd19-4110-b573-c4f4366bec33 · outbound

This paper cites Whole slide imaging: technology and applications.

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images Whole slide imaging: technology and applications

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:49:18.410582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:49:18.254719Z digest=sha256:25b7188bd97ab342069631e354ab79ca99e1cb49627fc026376b3454ee73b68d

Observation e1da9111-e7a1-4cf3-b678-bd483c6bedb6 · outbound

This paper cites Histoseg- net: Semantic segmentation of histological tissue type in whole slide images.

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images Histoseg- net: Semantic segmentation of histological tissue type in whole slide images

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:49:18.393723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:49:18.259996Z digest=sha256:43df28f6cfd02c202e8a175933cad18281ed059428c5a001c2bc313bc303e193

Observation b81f9700-798f-4533-b97a-a6968a77b7b3 · outbound

This paper cites Weakly supervised semantic segmentation by pixel-to- prototype contrast.

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images Weakly supervised semantic segmentation by pixel-to- prototype contrast

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:49:18.379121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:49:18.265075Z digest=sha256:ad661374dbb1357ee101a7e7d72e69cae187ad1d5ffe5d755143939bcc90404f

Observation 49d46d4f-5405-4bfe-a509-321906863d8d · outbound

This paper cites C-cam: Causal cam for weakly supervised semantic segmentation on medical image.

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images C-cam: Causal cam for weakly supervised semantic segmentation on medical image

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:49:18.364785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:49:18.269750Z digest=sha256:635dbd489a8aa5c0d6383952abcba34beb6d2bc4db52314b368cedc3faa3ba8a

Observation fdcddc23-3a0a-4817-ac32-b9ed9f92c40a · outbound

This paper cites Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels.

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:49:18.348256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:49:18.274700Z digest=sha256:09e2c94b983c8c1ae790677167b3bf204eb47f0f99d4463a6759361924c6c17e

Observation 7df70ed4-cb33-4138-8ec2-01bfa81fa8c7 · outbound

This paper cites Weakly-supervised semantic segmentation for histopathology images based on dataset synthesis and feature consistency constraint.

Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images Weakly-supervised semantic segmentation for histopathology images based on dataset synthesis and feature consistency constraint

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:49:18.332596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:49:18.279952Z digest=sha256:0a2369d95a22e142c74bc4a7eeb4f8bb0cd9f9f358787d2c1ea524c1c5534398

Pith citing papers

No inbound Pith citation observations are available.