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Paper Citation Record · LEDGER

Do Pathology Vision-Language Models Truly See Pathology?

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.21065.

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

pith.paper-citation-record.v1
2607.21065 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:37:05.272357Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fdaa5f88-85bc-46f3-ae9b-9e64e418bce9 · outbound

This paper cites InProceedings of the IEEE/CVF Interna- tional Conference on Computer Vision, 23431–23441.

Do Pathology Vision-Language Models Truly See Pathology? InProceedings of the IEEE/CVF Interna- tional Conference on Computer Vision, 23431–23441

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:03.841452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:03.841452Z digest=sha256:c90aa7525b767b29c8c7b37b7120ea4f41ec284c3efc39849fcbb55bf338a36e

Observation 91437aa0-9bd0-4d68-99cf-ca0af1138ae8 · outbound

This paper cites strategy.

Do Pathology Vision-Language Models Truly See Pathology? strategy

Reference 3

Resolution
malformed identifier
no resolver link, observed 2026-08-01T08:37:05.272357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:05.272357Z digest=sha256:a0edf3da55da856b8754d204c06a863cec15bd5b98fcfee16ad5fbc0dfd6976f

Observation 9c8cebd9-cf4e-4122-aaf9-f589cce9c8f7 · outbound

This paper cites Liu, H.; Li, C.; Li, Y.; and Lee, Y.

Do Pathology Vision-Language Models Truly See Pathology? Liu, H.; Li, C.; Li, Y.; and Lee, Y

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:04.349120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:04.349120Z digest=sha256:d80c4b7e28dd09335c15ccb4f1f286fd81e845f72249cde1b02f0d69711777c8

Observation dbbb5cd0-81e7-4452-bca3-5e2538f6608f · outbound

This paper cites HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling.

Do Pathology Vision-Language Models Truly See Pathology? HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:04.436820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:04.436820Z digest=sha256:1de0a2dc0b5bc51ba5f8f1fa1f98ec1ac82ce0143874b2b4edfe968ac554eae3

Observation 0738a8e6-b92a-46b8-a321-78b309049f08 · outbound

This paper cites How Good is my Histopathology Vision-Language Foundation Model? A Holistic Benchmark.

Do Pathology Vision-Language Models Truly See Pathology? How Good is my Histopathology Vision-Language Foundation Model? A Holistic Benchmark

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:04.514746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:04.514746Z digest=sha256:100964146f8f788740464a985bfe8dc58b9f009e99dd0f204efd27d64e238087

Observation 0dd855a8-44c9-4a1d-b99c-8c7bee32fc2d · outbound

This paper cites Qwen2.5-VL Technical Report.

Do Pathology Vision-Language Models Truly See Pathology? Qwen2.5-VL Technical Report

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:04.598544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:04.598544Z digest=sha256:fc6cdfe79e160d64888745c84b35136c2b7c3de8a382f64e39bf63eb8a8a64be

Observation 89ad2e6c-1f81-4cd9-a3e7-38c9dc152924 · outbound

This paper cites Advances in Neural Information Processing Systems, 38: 101673–101731.

Do Pathology Vision-Language Models Truly See Pathology? Advances in Neural Information Processing Systems, 38: 101673–101731

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:04.730018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:04.730018Z digest=sha256:81ae97a58e4dbcbd91d94f5ae2e2954d0ad34f04ea22366e3b823037eaab8855

Observation aaf74f23-4424-4ce0-b29f-b0fedfd68b3f · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Do Pathology Vision-Language Models Truly See Pathology? Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:04.877247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:04.877247Z digest=sha256:2488fe0cdf339151db2932583715571b0c7450f7729159b5fe8958844286b47f

Observation 7bf9870e-af70-46a9-8a30-ee2a68550a97 · outbound

This paper cites PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks.

Do Pathology Vision-Language Models Truly See Pathology? PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:05.008674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:05.008674Z digest=sha256:55c6d9d2ba5b7727ddfe7e46c1d1a8a3329e27df91f19653f0f2334e43fbfccb

Observation 2333bb88-019d-467e-a02a-c77fc050563c · outbound

This paper cites Zhang, W.; Guo, J.; Zhang, H.; Zhang, P.; Chen, J.; Zhang, S.;Zhang,Z.;Yi,Y.;andBu,H.2026a.

Do Pathology Vision-Language Models Truly See Pathology? Zhang, W.; Guo, J.; Zhang, H.; Zhang, P.; Chen, J.; Zhang, S.;Zhang,Z.;Yi,Y.;andBu,H.2026a

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:05.057087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:05.057087Z digest=sha256:41c44532f2ea42f7a33fd10c04f47080bcd7197d6d60ea63206fa081bd54b76b

Observation 0cc6bf25-81ce-4bee-b96c-b85c31023eb4 · outbound

This paper cites MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding.

Do Pathology Vision-Language Models Truly See Pathology? MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:05.181089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:05.181089Z digest=sha256:81999f941076ba29e71e8fa5a38f1beed6480ddd3adefee1154d33fad0bc522a

Observation 526cfb28-acf4-4496-be96-80f0237bd47f · outbound

This paper cites PathVQA: 30000+ Questions for Medical Visual Question Answering.

Do Pathology Vision-Language Models Truly See Pathology? PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:04.128874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:04.128874Z digest=sha256:f2bd4193780a370e5d50c54f54f432b7534c47b6740788febe4e76b9fa6a3017

Observation 26e5005a-80cb-4ff5-ab8c-fe4fc8d41ebe · outbound

This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 22170–22183.

Do Pathology Vision-Language Models Truly See Pathology? InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 22170–22183

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:04.228193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:04.228193Z digest=sha256:4ca8554839d16f458ae27309d306d4888513d24932cb98a79df173a7a5cb2ae7

Observation a76634eb-520d-4dd5-8f1b-6171c2f62905 · outbound

This paper cites Chen, J.; Gui, C.; Ouyang, R.; Gao, A.; Chen, S.; Chen, G.

Do Pathology Vision-Language Models Truly See Pathology? Chen, J.; Gui, C.; Ouyang, R.; Gao, A.; Chen, S.; Chen, G

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:03.661382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:03.661382Z digest=sha256:19252632ab4e3904af5e09602d1ac8cc2b67402903ca2fb7d45e86d3a2175285

Observation 7ab85eac-5403-408c-947e-fe1f2d4add50 · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

Do Pathology Vision-Language Models Truly See Pathology? GLM-5: from Vibe Coding to Agentic Engineering

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:03.982381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:03.982381Z digest=sha256:5bb49e06b5467072041a6265ec89f1d563c1956076c5b62d5cf896a20012b5db

Pith citing papers

No inbound Pith citation observations are available.