Paper Citation Record · LEDGER

Molecular-driven Foundation Model for Oncologic Pathology

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2501.16652.

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

pith.paper-citation-record.v1
2501.16652 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:02:52.906070Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:28:52.304119Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 0635f593-d72b-45e2-a6a0-703cdd79739d · inbound

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

PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology Molecular-driven Foundation Model for Oncologic Pathology

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:52.906070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16344de2-ea48-4f37-bfc8-e7a6a035d56b · inbound

The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models cites this paper.

The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models Molecular-driven Foundation Model for Oncologic Pathology

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:39:12.087746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbdd323f-ac16-470b-b460-f4b1e75f49fe · inbound

SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence cites this paper.

SurgVLM: A Large Vision-Language Model and Systematic Evaluation Benchmark for Surgical Intelligence Molecular-driven Foundation Model for Oncologic Pathology

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T11:26:40.962073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 217f0258-c73f-4499-a85e-9299194c1416 · inbound

Do Multiple Instance Learning Models Transfer? cites this paper.

Do Multiple Instance Learning Models Transfer? Molecular-driven Foundation Model for Oncologic Pathology

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:39.281817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff3784c-51fe-40e6-b302-5a76963f53c4 · inbound

Emerging AI Approaches for Cancer Spatial Omics cites this paper.

Emerging AI Approaches for Cancer Spatial Omics Molecular-driven Foundation Model for Oncologic Pathology

Reference 121

Resolution: unresolved; no resolver link, observed 2026-08-06T21:32:58.754499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1ccd220-ed76-4d38-8915-88c1d2b4c256 · inbound

Towards Robust Foundation Models for Digital Pathology cites this paper.

Towards Robust Foundation Models for Digital Pathology Molecular-driven Foundation Model for Oncologic Pathology

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:11:13.007480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72a9f0c3-9235-426a-b903-bdce313c127e · inbound

A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics cites this paper.

A Large-Scale Benchmark of Cross-Modal Learning for Histology and Gene Expression in Spatial Transcriptomics Molecular-driven Foundation Model for Oncologic Pathology

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T05:36:44.672000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 532c6405-1023-4316-a949-2eeaeaf7c79c · inbound

Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment cites this paper.

Enhancing Zero-Shot Brain Tumor Subtype Classification via Fine-Grained Patch-Text Alignment Molecular-driven Foundation Model for Oncologic Pathology

Reference 132

Resolution: unresolved; no resolver link, observed 2026-08-06T05:31:24.808547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09df8743-ac04-4fea-b858-3683c3d10161 · inbound

Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer cites this paper.

Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer Molecular-driven Foundation Model for Oncologic Pathology

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T14:12:18.972948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ee9f0db-1cbb-4093-a60f-57be5d77d13a · inbound

MOOZY: A Patient-First Foundation Model for Computational Pathology cites this paper.

MOOZY: A Patient-First Foundation Model for Computational Pathology Molecular-driven Foundation Model for Oncologic Pathology

Reference 85

Resolution: unresolved; no resolver link, observed 2026-07-13T17:15:51.142086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd7ab4e7-05e6-4706-a74e-a8b24a2c90fd · inbound

Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images cites this paper.

Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images Molecular-driven Foundation Model for Oncologic Pathology

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:56:05.512213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cc4afa93-dce0-411f-997e-f66a8d106fdf · inbound

Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images cites this paper.

Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images Molecular-driven Foundation Model for Oncologic Pathology

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:19:52.602274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ac48af7-e8f2-43d3-8a9b-a0147d8945fb · inbound

Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models cites this paper.

Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models Molecular-driven Foundation Model for Oncologic Pathology

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:02:47.369522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5e04d84-cf27-4a41-b257-44874b6cd8e3 · inbound

Genetically Aligned Patient Representations Improve Hematological Diagnosis cites this paper.

Genetically Aligned Patient Representations Improve Hematological Diagnosis Molecular-driven Foundation Model for Oncologic Pathology

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:23:14.906207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f95ee65-56d6-4dca-9577-c99cbc074c07 · inbound

AGE-MIL: Anchor-Guided Evidence Learning for Patient-Level Prediction cites this paper.

AGE-MIL: Anchor-Guided Evidence Learning for Patient-Level Prediction Molecular-driven Foundation Model for Oncologic Pathology

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:27:56.374268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e44baf5-4ceb-4d84-b522-6b149d84ce7b · inbound

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology cites this paper.

Predicting Immune Biomarkers with MultiModal Mixture-of-Expert Pathology Foundation Models Empowers Precision Oncology Molecular-driven Foundation Model for Oncologic Pathology

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:28:52.305682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e7026822-881b-479c-b3d1-c4948986e91a · inbound

Democratizing and accelerating AI-driven pathology research through agentic intelligence cites this paper.

Democratizing and accelerating AI-driven pathology research through agentic intelligence Molecular-driven Foundation Model for Oncologic Pathology

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:08:43.533222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fdfd00b6-2fac-464c-a055-1db6a661f67c · 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 Molecular-driven Foundation Model for Oncologic Pathology

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T10:04:35.973102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0460eb8-42f5-40d0-b283-07e5bf9bbd01 · inbound

Data-Efficient Multimodal Alignment for Histopathology-based Molecular Prediction cites this paper.

Data-Efficient Multimodal Alignment for Histopathology-based Molecular Prediction Molecular-driven Foundation Model for Oncologic Pathology

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T17:04:57.846692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.