Paper Citation Record · LEDGER

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2506.05184.

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

pith.paper-citation-record.v1
2506.05184 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:29:43.993734Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

39 of 39 outbound references displayed

verified exact1
verified fuzzy25
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2af14328-31fa-4c00-bd6f-86c61611cd61 · outbound

This paper cites Artificial intelligence for digital and computational pathology.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Artificial intelligence for digital and computational pathology

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:43.676697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c7cc46a-db31-4c83-a713-044c2a408858 · outbound

This paper cites Attention-based deep multiple instance learning.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Attention-based deep multiple instance learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.656320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0ed46034-d1d2-48aa-9d05-140ccdc3cbca · outbound

This paper cites Hanna, Luke Geneslaw, Allen Miraflor, Vitor Werneck Krauss Silva, Klaus J.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Hanna, Luke Geneslaw, Allen Miraflor, Vitor Werneck Krauss Silva, Klaus J

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.638221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d27bfb97-ab98-4826-b21a-5852904dd9c6 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis An image is worth 16x16 words: Transformers for image recognition at scale

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.621117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 965494c9-b8b4-40f6-ad64-d752f6a14fa0 · outbound

This paper cites Towards a general-purpose foundation model for computational pathology.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Towards a general-purpose foundation model for computational pathology

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:43.725384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d05c1ba-fe6d-42ba-9ca7-f87a0bd27fa6 · outbound

This paper cites A foundation model for clinical-grade computational pathology and rare cancers detection.Nature medicine, 30(10):2924–2935, 2024.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis A foundation model for clinical-grade computational pathology and rare cancers detection.Nature medicine, 30(10):2924–2935, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.592810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c98962f5-8aeb-4b5f-a7a2-87a923618258 · outbound

This paper cites Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:43.751757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a30538ac-b3fa-44ad-a94b-6a3cca11d535 · outbound

This paper cites A whole-slide foundationmodelfordigitalpathologyfromreal-worlddata.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis A whole-slide foundationmodelfordigitalpathologyfromreal-worlddata

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.575018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1e5f87c9-810e-4c4e-91c1-2b2772d2dd5f · outbound

This paper cites H-optimus-0: A foundational model for histopathology.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis H-optimus-0: A foundational model for histopathology

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.556276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3b39b722-bd79-4e87-8ca7-29283eac24ed · outbound

This paper cites an unresolved cited work.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:29:44.539400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44a534ca-8ca2-4ef4-a18f-b08831110e91 · outbound

This paper cites A benchmarking crisis in biomedical machine learning.Nature Medicine, pages 1–1, 2025.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis A benchmarking crisis in biomedical machine learning.Nature Medicine, pages 1–1, 2025

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.522416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 98afaef4-4dc7-4359-a535-0bcb4955612e · outbound

This paper cites Validation of histopathology foundation models through whole slide image retrieval.Scientific Reports, 15(1):3990, 2025.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Validation of histopathology foundation models through whole slide image retrieval.Scientific Reports, 15(1):3990, 2025

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.504576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 208c3061-d6db-463c-bb08-d70eed34f9d5 · outbound

This paper cites A clinical benchmark of public self-supervised pathology foundation models.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis A clinical benchmark of public self-supervised pathology foundation models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.488003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dbf471bf-bfcd-4324-abb6-bab0776e0222 · outbound

This paper cites Transformer-based unsupervised contrastive learning for histopathological image classification.Medical image analysis, 81:102559, 2022.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Transformer-based unsupervised contrastive learning for histopathological image classification.Medical image analysis, 81:102559, 2022

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:43.835373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3673a641-c5d9-4ee9-a6ec-1ad78d8a9721 · outbound

This paper cites Scaling vision transformers to gigapixel images via hierarchical self-supervised learning.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Scaling vision transformers to gigapixel images via hierarchical self-supervised learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:43.846998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96c95602-9f7c-474f-9b2d-356b94d6be04 · outbound

This paper cites Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.448982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eca5fbed-6e1b-4834-8c16-94424c1095de · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Emerging properties in self-supervised vision transformers

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.430246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe4cf0b3-4de2-417b-b9c5-f11d9da68891 · outbound

This paper cites Scaling self-supervised learning for histopathology with masked image modeling.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Scaling self-supervised learning for histopathology with masked image modeling

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.413986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cad2d7ad-497c-402e-8bb5-7a66ab071005 · outbound

This paper cites an unresolved cited work.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:29:44.394934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 55c7109b-aa4a-4003-975d-74c9c00b8dda · outbound

This paper cites A visual-language foundation model for computational pathology.Nature Medicine, 30(3):863–874, 2024.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis A visual-language foundation model for computational pathology.Nature Medicine, 30(3):863–874, 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:43.887581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation effcedae-1525-433a-8d90-b3cfff88e1f7 · outbound

This paper cites PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:43.892497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 269bcb21-edd4-45cd-a836-719bf1b80bfc · outbound

This paper cites A vision–language foundation model for precision oncology.Nature, pages 1–10, 2025.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis A vision–language foundation model for precision oncology.Nature, pages 1–10, 2025

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.365646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1b209de4-9a64-4580-b8e3-80b64a9334a5 · outbound

This paper cites Multimodal histopathologic models stratify hormone receptor-positive early breast cancer.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Multimodal histopathologic models stratify hormone receptor-positive early breast cancer

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.347184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 17512fed-1bc8-4c26-890a-201296aa80c2 · outbound

This paper cites Dual-stream multiple instance learning networkforwholeslide imageclassificationwithself-supervised contrastive learning.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Dual-stream multiple instance learning networkforwholeslide imageclassificationwithself-supervised contrastive learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.329089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 70686bbe-409e-44a7-86f7-ec6b0ae41380 · outbound

This paper cites Deepsmile: contrastive self-supervised pre-training benefits msi and hrd classification directly from h&e whole-slide images in colorectal and breast cancer.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Deepsmile: contrastive self-supervised pre-training benefits msi and hrd classification directly from h&e whole-slide images in colorectal and breast cancer

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.312124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3d101734-4fd5-4c70-8c67-41b323eedfca · outbound

This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Transmil: Transformer based correlated multiple instance learning for whole slide image classification

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:43.919430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9c8e347-c95a-4282-9559-ae948e434a80 · outbound

This paper cites Gindra, Emily J.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Gindra, Emily J

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.283775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7b0966f1-43d1-43cb-9527-2168f824f69f · outbound

This paper cites Polydorides, Adam J.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Polydorides, Adam J

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.265985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3e723ea1-34a4-469a-bcba-1da34bb942a3 · outbound

This paper cites Task-specific fine-tuning via variational information bottleneck for weakly-supervised pathology whole slide image clas- sification.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Task-specific fine-tuning via variational information bottleneck for weakly-supervised pathology whole slide image clas- sification

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.248567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2a42cce2-2710-48ed-90ed-0a382685368b · outbound

This paper cites Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Beyond Multiple Instance Learning: Full Resolution All-In-Memory End-To-End Pathology Slide Modeling

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:29:44.042365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a2ab3037-8a67-47bf-b620-bc1099a7ef16 · outbound

This paper cites DEMO: A scalable artificial intelligence framework for rapid EGFR mutation screening in lung cancer.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis DEMO: A scalable artificial intelligence framework for rapid EGFR mutation screening in lung cancer

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.231188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 944179cd-374d-43f0-b9ae-034e108df2fa · outbound

This paper cites Decoupled weight decay regularization.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Decoupled weight decay regularization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:43.952952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afbaa1de-987d-46bd-bc04-fcb1eaa714dd · outbound

This paper cites Sgdr: Stochastic gradient descent with warm restarts.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Sgdr: Stochastic gradient descent with warm restarts

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.203172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 58253fd4-273d-45b9-8d86-526401c77667 · outbound

This paper cites Oncogenicalterationsinadvancednsclc: amolecularsuper-highway.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Oncogenicalterationsinadvancednsclc: amolecularsuper-highway

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.185134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fa6bcc99-740a-4897-9715-d78e4c15b0fe · outbound

This paper cites Oncogenic driver mutations in non-small cell lung cancer: Past, present and future.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Oncogenic driver mutations in non-small cell lung cancer: Past, present and future

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.165129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0d99aa7-001f-4a31-8fa5-4fecc4810eb0 · outbound

This paper cites an unresolved cited work.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:29:44.148363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dc2d13a4-7081-422c-8e9c-cc5d10e4df75 · outbound

This paper cites an unresolved cited work.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:29:44.131683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d1627127-60b1-4854-9387-109e9587f4a4 · outbound

This paper cites Molecular pathology of non–small cell lung cancer: a practical guide.American journal of clinical pathology, 138(3):332–346, 2012.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Molecular pathology of non–small cell lung cancer: a practical guide.American journal of clinical pathology, 138(3):332–346, 2012

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.114920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2c4d4302-791d-497a-8107-e0ec01f16c5b · outbound

This paper cites Role of fgfr3 in bladder cancer: Treatment landscape and future challenges.Cancer Treatment Reviews, 115:102530, 2023.

Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis Role of fgfr3 in bladder cancer: Treatment landscape and future challenges.Cancer Treatment Reviews, 115:102530, 2023

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:29:44.097298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.