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Paper Citation Record · LEDGER

Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.05489.

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

pith.paper-citation-record.v1
2411.05489 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:58:22.811683Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T10:04:36.015571Z

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 0cb180ec-6fbf-4714-8531-8f452c0aff97 · inbound

Current Pathology Foundation Models are unrobust to Medical Center Differences cites this paper.

Current Pathology Foundation Models are unrobust to Medical Center Differences Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T00:58:22.811683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:58:22.811683Z digest=sha256:6a01467f8680b7438c3d5a48706709fedf361a755240df0f1acf5947a280518b

Observation ec98315b-baee-402a-9fef-9969d2ee32ae · inbound

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification cites this paper.

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:32.189287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:32.189287Z digest=sha256:480603e3f083d6911cc937a6ae2792facb376d6d68ba23759b6248c4b62d0014

Observation 6aa72653-9d68-411c-ae49-52e432c37760 · inbound

Enabling clinical use of foundation models for computational pathology cites this paper.

Enabling clinical use of foundation models for computational pathology Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:16:30.894393Z

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.

source=pdf_text observed=2026-05-15T19:16:03.449757Z digest=sha256:0fb8cdd0e090641e8863dddaec55e658e8dae2c355c75537135bcf3bb7be32b9

Observation 6aac02fc-035b-4b41-8259-9fa5f98f2a09 · inbound

When Are Multimodal Predictions Biologically Supported? A Diagnostic Evaluation Framework cites this paper.

When Are Multimodal Predictions Biologically Supported? A Diagnostic Evaluation Framework Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:52:45.204088Z

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.

source=pdf_text observed=2026-06-28T22:50:07.586607Z digest=sha256:7247460cd6f14ac11f805296494311a517441b077a1deb478ecbf7e9252c5f22

Observation 156d617a-f35f-494b-8008-2618d1fa8c76 · inbound

Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation cites this paper.

Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:04:36.017053Z

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.

source=pdf_text observed=2026-06-30T10:01:21.792617Z digest=sha256:86c697bac6406a82d4e208893222db783a41781f7b6860b15a783dc46f649469

Observation 1816a462-06ad-4340-83a5-763dff6b2db1 · inbound

Beyond Counts: A Distributional Robustness Margin For Pathology Foundation Models cites this paper.

Beyond Counts: A Distributional Robustness Margin For Pathology Foundation Models Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T02:19:58.294733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:19:58.294733Z digest=sha256:c3c40491a24242d83adea4fa0767f94cd8cce4b1bd1fb2978f9ed80227c92e2e

Observation c02d4a99-0e4d-4e9b-abf5-f6c59c034c02 · inbound

Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer cites this paper.

Harnessing Adversarial Distillation to Customise Debiased, Disease-Specific Pathology Foundation Models for Breast Cancer Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T00:21:09.833697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:21:09.833697Z digest=sha256:969146ff0731e354b6506af78004735a8594c527711558acd44510868db04891