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Paper Citation Record · LEDGER

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design

As of 17 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2505.00134.

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

pith.paper-citation-record.v1
2505.00134 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:53:18.212653Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f1a7d392-0794-4c6a-97f6-9e665d1d1665 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 1

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Observation 9495d49b-0c27-4d79-a360-447997906409 · outbound

This paper cites A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design A New Era in Computational Pathology: A Survey on Foundation and Vision-Language Models

Reference 2

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Observation 405ba74f-18b9-4ea0-87f7-5c7ed2ed92a5 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 3

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Source-reported events for the cited work

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Observation 0c95279e-5cc4-41c1-a02d-9ed9584fbb8a · outbound

This paper cites A General-Purpose Self-Supervised Model for Computational Pathology.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design A General-Purpose Self-Supervised Model for Computational Pathology

Reference 4

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Observation 473d8be4-70cd-4d7a-a7db-e39dd1e62282 · outbound

This paper cites Nature Communications16(1), 1239 (2025).

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Nature Communications16(1), 1239 (2025)

Reference 5

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Observation 5944e622-969f-4880-a65f-c1dbc521e04e · outbound

This paper cites Laboratory Investigation101(4), 412–422 (2021).

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Laboratory Investigation101(4), 412–422 (2021)

Reference 6

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Observation fc3750c1-ccab-4623-be17-42a69f3f4a48 · outbound

This paper cites In: 2009 IEEE conference on com- puter vision and pattern recognition.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design In: 2009 IEEE conference on com- puter vision and pattern recognition

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1fbaa421-3ae1-4402-a186-ebb8fa2a53ae · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 8

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Observation 23dac279-6861-4e41-a90d-ac539a802d4f · outbound

This paper cites Advances in Neural Information Processing Sys- tems 37, 126725–126766 (2024).

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Advances in Neural Information Processing Sys- tems 37, 126725–126766 (2024)

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a68ee50b-332f-4f91-bebc-2081ceea3881 · outbound

This paper cites Towards Robust Prompts on Vision-Language Models.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Towards Robust Prompts on Vision-Language Models

Reference 10

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Observation 24e2fafb-88f8-4ea7-b5a0-df53f130936b · outbound

This paper cites Journal of Pathology Informatics15, 100357 (2024).

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Journal of Pathology Informatics15, 100357 (2024)

Reference 11

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Observation 7a92ad14-5eed-4269-a915-4754c7fdb79f · outbound

This paper cites an unresolved cited work.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Unresolved cited work

Reference 12

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Source-reported events for the cited work

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Observation d9c49964-961a-47db-a731-d00f08a39f3f · outbound

This paper cites Advances in Neural Information Processing Systems 36, 28541–28564 (2023).

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Advances in Neural Information Processing Systems 36, 28541–28564 (2023)

Reference 13

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Source-reported events for the cited work

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Observation 488ffa7c-134a-479c-b75d-5362961bc83a · outbound

This paper cites Advances in neural information processing systems36, 34892–34916 (2023).

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Advances in neural information processing systems36, 34892–34916 (2023)

Reference 14

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Observation 998aace7-ab08-4e59-adb0-3ad0b8019049 · outbound

This paper cites In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design In: Proceedings of the IEEE/CVF con- ference on computer vision and pattern recognition

Reference 15

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3bc16a5e-a070-47e3-a402-557f4f1daeec · outbound

This paper cites Nature Medicine30(3), 863–874 (2024) Title Suppressed Due to Excessive Length 17.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Nature Medicine30(3), 863–874 (2024) Title Suppressed Due to Excessive Length 17

Reference 16

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3ee3c01e-ae1d-4b25-8916-33c65bba5248 · outbound

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

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design DINOv2: Learning Robust Visual Features without Supervision

Reference 17

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Observation 30963278-cae0-4046-881d-1a1e21686f93 · outbound

This paper cites Advances in neural information processing systems35, 27730–27744 (2022).

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Advances in neural information processing systems35, 27730–27744 (2022)

Reference 18

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ad8aabd3-9989-488f-9778-34ae8a32e7b0 · outbound

This paper cites OpenAI blog1(8), 9 (2019).

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design OpenAI blog1(8), 9 (2019)

Reference 19

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This paper cites In: International conference on machine learning.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design In: International conference on machine learning

Reference 20

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Observation 66107b07-b8e0-4fbf-8673-f9559a54e5fb · outbound

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Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Unresolved cited work

Reference 21

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Observation 8f022ea8-e26c-4161-acd8-5bc4f3e09759 · outbound

This paper cites Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding

Reference 22

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Observation b78276e0-1784-4a55-a11b-df928e824e40 · outbound

This paper cites an unresolved cited work.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 35759363-6668-4118-a128-facf9e288741 · outbound

This paper cites Virchow: A Million-Slide Digital Pathology Foundation Model.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design Virchow: A Million-Slide Digital Pathology Foundation Model

Reference 24

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Observation 8c6cc909-d5e9-4976-a6dd-b958566e9e29 · outbound

This paper cites In: Pro- ceedings of the 2024 Conference on Human Information Interaction and Retrieval.

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design In: Pro- ceedings of the 2024 Conference on Human Information Interaction and Retrieval

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2760e60f-8b57-4625-a40c-e24ff9c5bc06 · outbound

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

Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 26

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.