Paper Citation Record · LEDGER

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model

As of 7 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2606.03644.

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

pith.paper-citation-record.v1
2606.03644 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:26:17.653659Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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External citation measurements

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Outbound references

Observation 48f0cd44-c4cc-4b11-8c95-218bdd858f8b · outbound

This paper cites & Rubin, M.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model & Rubin, M

Reference 1

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Observation 585d09c6-710e-4d59-9c5e-72b79b2dbded · outbound

This paper cites Cancers17, 3500 (2025).

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Cancers17, 3500 (2025)

Reference 2

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Observation 33bd1349-d7ab-460c-bc44-8e5a581fee33 · outbound

This paper cites A., Rimm, D.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model A., Rimm, D

Reference 3

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Observation 1accc121-21c7-4539-a73e-46303daf30aa · outbound

This paper cites an unresolved cited work.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 4

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Observation f5900ab7-1d50-41fd-b569-87c5977e21a2 · outbound

This paper cites N.et al.Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model N.et al.Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer

Reference 5

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Observation b1e3ac28-bb3a-426b-92b5-8d2b36f7780e · outbound

This paper cites communications11, 3877 (2020).

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model communications11, 3877 (2020)

Reference 6

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Observation c709fd7f-1b96-4376-b29b-6a21f82d4281 · outbound

This paper cites an unresolved cited work.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation 9346b4d1-17b5-403f-9b52-72bb3f07ddfd · outbound

This paper cites an unresolved cited work.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation d6734075-f71e-45ce-9911-3d97c0360f45 · outbound

This paper cites an unresolved cited work.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 9

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Observation a0191a78-3b6e-45a6-a908-656a0549d050 · outbound

This paper cites J.et al.Towards a general-purpose foundation model for computational pathology.Nat.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model J.et al.Towards a general-purpose foundation model for computational pathology.Nat

Reference 10

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Observation da4913d0-32a4-4df5-900d-c9e56ef73176 · outbound

This paper cites medicine30, 2924–2935 (2024).

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model medicine30, 2924–2935 (2024)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation 0c190097-1760-467b-b7c1-31f3bd059eea · outbound

This paper cites an unresolved cited work.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation f3ea028b-8f77-4f2e-9355-bfba6edfc3e9 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model DINOv2: Learning Robust Visual Features without Supervision

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:42:50.015000Z

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Observation 21962747-52f5-4004-ac3e-559cb3f66236 · outbound

This paper cites InInternational conference on machine learning, 8748–8763 (PmLR, 2021).

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model InInternational conference on machine learning, 8748–8763 (PmLR, 2021)

Reference 14

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Observation ac0d6767-560e-4e07-8534-8b18cb60604f · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:42:50.012602Z

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Observation c9313934-61b9-432c-8e55-40088795c57b · outbound

This paper cites an unresolved cited work.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 16

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Observation 742b9211-669c-4e7f-a14d-c54583d247bb · outbound

This paper cites neural information processing systems 36, 37995–38017 (2023).

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model neural information processing systems 36, 37995–38017 (2023)

Reference 17

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Observation a3ab58c6-7a49-4d2c-bd02-3eab5326e119 · outbound

This paper cites an unresolved cited work.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 18

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Observation 0207f7be-6006-499c-8dc5-b8db6b5ebf92 · outbound

This paper cites national academy sciences102, 15545–15550 (2005).

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model national academy sciences102, 15545–15550 (2005)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation 03843bda-942a-43b7-83fd-46b8c36c7405 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:42:50.017534Z

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Observation 36a4b015-6b70-4eec-877e-65bc8e16c12b · outbound

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

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Reference 21

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Observation 4cf009f5-6527-4161-bc6a-d186d06690a4 · outbound

This paper cites PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology

Reference 22

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Observation 1f47a292-e3e3-42aa-803d-a82bd6db96bc · outbound

This paper cites Methods22, 1568–1582 (2025).

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Methods22, 1568–1582 (2025)

Reference 23

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Observation 9e4cd90b-e26f-4d3a-820c-66198f2576f4 · outbound

This paper cites an unresolved cited work.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation 8b8593f0-e239-43dc-a20f-f2f35f8b3427 · outbound

This paper cites medicine24, 541–550 (2018).

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model medicine24, 541–550 (2018)

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation 7db26d88-0226-4df5-b7ac-27d0a7744091 · outbound

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 26

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Observation 7e07a958-f59b-41c6-a3d4-0f913daec55e · outbound

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Neural Inf

Reference 27

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Observation 467385d8-4d5c-4fc9-ba89-17c677ddf518 · outbound

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 28

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Observation 9637d349-810a-41bb-a6f8-0820df007794 · outbound

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 29

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Observation 8942ba45-5972-4f52-a8e5-f7be4e925407 · outbound

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model & Silina, K

Reference 30

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Observation 2a8337e7-f214-46a0-a8d1-8e4de1dc0fc5 · outbound

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 31

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Observation a2506a88-7e14-4976-819b-f60acb921bcb · outbound

This paper cites D.et al.Image analysis with deep learning to predict breast cancer grade, er status, histologic subtype, and intrinsic subtype.NPJ breast cancer4, 30 (2018).

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model D.et al.Image analysis with deep learning to predict breast cancer grade, er status, histologic subtype, and intrinsic subtype.NPJ breast cancer4, 30 (2018)

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Reference 33

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model H.et al.Estrogen and progesterone receptor testing in breast cancer: Asco/cap guideline update.J

Reference 34

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 35

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This paper cites D.et al.The 2015 world health organization classification of lung tumors: impact of genetic, clinical and radiologic advances since the 2004 classification.J.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model D.et al.The 2015 world health organization classification of lung tumors: impact of genetic, clinical and radiologic advances since the 2004 classification.J

Reference 36

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Observation 62d4085c-0d84-4ba5-82bb-56c6483fc33c · outbound

This paper cites thoracic oncology 14, 377–407 (2019).

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model thoracic oncology 14, 377–407 (2019)

Reference 37

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Observation b80f58fa-442e-47ba-b30a-9332ac8327c9 · outbound

This paper cites A.et al.p40 ( δnp63) is superior to p63 for the diagnosis of pulmonary squamous cell carcinoma.Mod.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model A.et al.p40 ( δnp63) is superior to p63 for the diagnosis of pulmonary squamous cell carcinoma.Mod

Reference 38

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Observation 127b81ba-e247-457c-908c-ef26d3b1b3c0 · outbound

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 39

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Observation de77863a-fc23-4e75-90aa-9b109faf62f4 · outbound

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model medicine24, 1559–1567 (2018)

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation ed067e0a-be7f-4fb4-8154-14ffd432e100 · outbound

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model T.et al.Mismatch repair deficiency predicts response of solid tumors to pd-1 blockade.Science357, 409–413 (2017)

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation e491d56f-023d-4a87-9e96-b3eedb4ca7f4 · outbound

This paper cites The Lancet Oncol.21, 1353–1365 (2020).

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model The Lancet Oncol.21, 1353–1365 (2020)

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation 38ffd596-1140-4b7f-b5b3-074cd0f19ae7 · outbound

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model R.et al.Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation b0acd1d8-54c4-461c-b74d-497e04d5cd76 · outbound

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 44

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Observation beffd8a1-231c-4ad6-9b29-962e3da1bed3 · outbound

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Unresolved cited work

Reference 45

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Observation 4d4a89d1-507f-45de-a5a9-36e73f566a24 · outbound

This paper cites S.et al.Supervised risk predictor of breast cancer based on intrinsic subtypes.J.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model S.et al.Supervised risk predictor of breast cancer based on intrinsic subtypes.J

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Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation 865fef35-3f5b-44eb-b5ed-74996574b1b2 · outbound

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model & Jaffee, E

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation bf3a1fc7-4edb-4e65-8742-5ea000ca278d · outbound

This paper cites 61.Kleppe, A.et al.Designing deep learning studies in cancer diagnostics.Nat.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model 61.Kleppe, A.et al.Designing deep learning studies in cancer diagnostics.Nat

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Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation 22d19654-d588-4c52-b0fd-2d10acb784a6 · outbound

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Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model & V oet, T

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation 1179e198-8da9-46f2-bc27-f2454b30943b · outbound

This paper cites & Hochreiter, S.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model & Hochreiter, S

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:17.653659Z

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Observation a1be2c8f-7f56-4a80-bb41-79892a3cf2b7 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Spatial Transcriptomics-Guided Alignment Enhances Molecular Profiling in Pathology Foundation Model Representation Learning with Contrastive Predictive Coding

Reference 51

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Pith citing papers

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