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Paper Citation Record · LEDGER

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps

As of 22 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2604.07936.

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

pith.paper-citation-record.v1
2604.07936 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:54:15.770762Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

18 of 18 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 082a3c0d-0ca1-4d13-a200-c64fde900040 · outbound

This paper cites Development and valida- tion of a deep learning model to quantify glomerulosclerosis in kidney biopsy specimens.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Development and valida- tion of a deep learning model to quantify glomerulosclerosis in kidney biopsy specimens

Reference 1

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Source-reported events for the cited work

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Observation c91a52a9-95c6-4ec0-a2c1-81370ca5516d · outbound

This paper cites Glomerulus classification and detection based on convolu- tional neural networks.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Glomerulus classification and detection based on convolu- tional neural networks

Reference 2

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Source-reported events for the cited work

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Observation 59992749-c9a5-44b7-95c5-8c99ade61fbc · outbound

This paper cites Faster r-cnn-based glomerular detection in multistained human whole slide images.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Faster r-cnn-based glomerular detection in multistained human whole slide images

Reference 3

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Observation 81a11f49-9f91-4904-9d61-ffad445ba094 · outbound

This paper cites Pathospotter-k: A computational tool for the automatic identification of glomeru- lar lesions in histological images of kidneys.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Pathospotter-k: A computational tool for the automatic identification of glomeru- lar lesions in histological images of kidneys

Reference 4

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Source-reported events for the cited work

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Observation c042dfc3-7002-41a1-91cf-cfdcfb560ee4 · outbound

This paper cites Segmenta- tion of glomeruli within trichrome images using deep learn- ing.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Segmenta- tion of glomeruli within trichrome images using deep learn- ing

Reference 5

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Source-reported events for the cited work

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Observation aa5d0439-1d07-4a86-bf2b-8e9684d7985a · outbound

This paper cites Deep learning global glomerulosclerosis in trans- plant kidney frozen sections.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Deep learning global glomerulosclerosis in trans- plant kidney frozen sections

Reference 6

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Source-reported events for the cited work

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Observation 2ec5186c-6b9f-4398-bdf2-cf7398da5819 · outbound

This paper cites Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for compu- tational pathology.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for compu- tational pathology

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ea8e4527-d98a-43dd-bad0-996b086e09f9 · outbound

This paper cites Stain normalization methods for histopathology image analysis: A comprehensive review and experimental comparison.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Stain normalization methods for histopathology image analysis: A comprehensive review and experimental comparison

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 91f77d3e-3de3-449d-b57d-16e9ac63a38c · outbound

This paper cites Evaluating the effec- tiveness of stain normalization techniques in automated grad- ing of invasive ductal carcinoma histopathological images.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Evaluating the effec- tiveness of stain normalization techniques in automated grad- ing of invasive ductal carcinoma histopathological images

Reference 9

Resolution
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Source-reported events for the cited work

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Observation fdef55c0-83fc-4d78-a4a1-cfc858c55dea · outbound

This paper cites The impact of site-specific digital histology signatures on deep learning model accuracy and bias.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps The impact of site-specific digital histology signatures on deep learning model accuracy and bias

Reference 10

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Source-reported events for the cited work

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Observation 7ee4b760-0aaf-4c29-be83-2f6c08aac83e · outbound

This paper cites Rand- stainna: Learning stain-agnostic features from histology slides by bridging stain augmentation and normalization.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Rand- stainna: Learning stain-agnostic features from histology slides by bridging stain augmentation and normalization

Reference 11

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Source-reported events for the cited work

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Observation 1adf279b-6811-4b3b-a342-915507b92afc · outbound

This paper cites Randstainna++: Enhance random stain augmentation and normalization through foreground and background differ- entiation.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Randstainna++: Enhance random stain augmentation and normalization through foreground and background differ- entiation

Reference 12

Resolution
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Source-reported events for the cited work

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Observation ec311fbe-027a-4c31-9e37-62ec3f0f98e3 · outbound

This paper cites Domain-adversarial training of neural net- works.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Domain-adversarial training of neural net- works

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8e61a4fe-3f63-4c72-a2a3-f6ae5d16a97e · outbound

This paper cites Learning domain-invariant representations of histological images.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Learning domain-invariant representations of histological images

Reference 14

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Source-reported events for the cited work

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Observation bcf3b5f5-848c-48ed-ba4d-83769004999a · outbound

This paper cites Towards histopathological stain invariance by unsupervised domain augmentation using generative adver- sarial networks.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Towards histopathological stain invariance by unsupervised domain augmentation using generative adver- sarial networks

Reference 15

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Source-reported events for the cited work

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Observation da9a1f7a-3abd-4f50-ba46-d95ae22ee0dc · outbound

This paper cites Deep domain confusion: Maximizing for do- main invariance.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Deep domain confusion: Maximizing for do- main invariance

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation df9b28af-fb97-4477-b812-3e8a709d0443 · outbound

This paper cites Removal of confounders via invariant risk minimization for medical diagnosis.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Removal of confounders via invariant risk minimization for medical diagnosis

Reference 17

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Source-reported events for the cited work

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Observation 4fb7da0e-6372-4f74-9327-31c8074741f0 · outbound

This paper cites Detecting short- cut learning for fair medical ai using shortcut testing.

Shortcut Learning in Glomerular AI: Adversarial Penalties Hurt, Entropy Helps Detecting short- cut learning for fair medical ai using shortcut testing

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.