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Paper Citation Record · LEDGER

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

As of 14 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 7 inbound Pith citation observations for arXiv:2507.14680.

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

pith.paper-citation-record.v1
2507.14680 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:55:36.749230Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:51:13.734297Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:15:01.414981Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2786db4a-c603-4f78-8172-84e4d0efe0bb · outbound

This paper cites an unresolved cited work.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis Unresolved cited work

Reference 1

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:33.704382Z digest=sha256:1bf472ea4ebf7641d6f5942a7a65be7a7d84e3d32834da9995d2d5c6943ab3ce

Observation 3530f582-9f13-474d-970d-eec92c0af151 · outbound

This paper cites The Lancet Oncology21(2), 233–241 (2020).

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis The Lancet Oncology21(2), 233–241 (2020)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:55:39.418576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:33.801293Z digest=sha256:e122f32497ed83eba4dfffc37c62a90bddd04d29112e10ca3fe483bf49921eb0

Observation 134cd8ff-092b-4847-add7-f61b49ca39fd · outbound

This paper cites In: Diag- nostic Biomedical Signal and Image Processing Applications with Deep Learning Methods, pp.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis In: Diag- nostic Biomedical Signal and Image Processing Applications with Deep Learning Methods, pp

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:55:39.407751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:33.914133Z digest=sha256:4de6d7ac4a405001cd4a639a57bbe9dd025ca84423179a67c0c457e14255d0d1

Observation 6a9a646f-36f6-44ee-b957-dbb94483c5ef · outbound

This paper cites In: In- ternational Conference on Medical Image Computing and Computer-Assisted In- tervention.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis In: In- ternational Conference on Medical Image Computing and Computer-Assisted In- tervention

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:34.077671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:34.077671Z digest=sha256:7d629d3ba0e12340fbedea22c41119990bd502f6c7ee89531a2b371400bd8f35

Observation 1e55f76d-7c8c-4690-b72d-6f7377a4a6e3 · outbound

This paper cites In: European Conference on Com- puter Vision.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis In: European Conference on Com- puter Vision

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:34.188706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:34.188706Z digest=sha256:c351010eb4f717fb3fc324796970b3e61320b3cf7fe5564888ba634424f802c1

Observation d80dedfe-fae4-489a-bc7d-52a4b5032792 · outbound

This paper cites SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:34.270156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:34.270156Z digest=sha256:2e94432ee1002bf72ed9336c7a51f4a233800d842b6cfec6a9c8bbfd312a02ad

Observation 1395489b-8870-454d-80f4-7e59ac1e478f · outbound

This paper cites Scientific Reports 11(1), 8894 (2021).

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis Scientific Reports 11(1), 8894 (2021)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:55:39.384549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:34.326475Z digest=sha256:5f39e4b1c90b88744a2f8581cc85c8308c1d36e43c8008770e9ef6981e08908b

Observation e8052b70-124f-4a80-aadf-6b597fa4679d · outbound

This paper cites Multimodal Whole Slide Foundation Model for Pathology.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis Multimodal Whole Slide Foundation Model for Pathology

Reference 8

Resolution
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no resolver link, observed 2026-08-06T15:55:34.402528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:34.402528Z digest=sha256:d17d9f8c478cc8c3c4416fb61524da21b4aecfacf11a3d7db87ea37174b2ee1f

Observation 671187f6-0a4b-4b6f-9224-578bf2a6f34d · outbound

This paper cites MedRAX: Medical Reasoning Agent for Chest X-ray.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis MedRAX: Medical Reasoning Agent for Chest X-ray

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:34.481061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:34.481061Z digest=sha256:bfb5646c1ff7dc6e878a77314b852f4309d72ac7d125fa24d7b80e5df7a74fe0

Observation e48acaa8-f09f-4573-98a0-b53cd052a965 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer- Assisted Intervention.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis In: International Conference on Medical Image Computing and Computer- Assisted Intervention

Reference 10

Resolution
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no resolver link, observed 2026-08-06T15:55:34.564753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:34.564753Z digest=sha256:becf39c23554d7d9473b00fbc8c5ab3dbfe49e27034dab83d0457bebf1fe2aa3

Observation 12e28623-c9c9-4312-b808-8bc6ae7d54e7 · outbound

This paper cites In: CVPR.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis In: CVPR

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:55:39.257843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:34.635473Z digest=sha256:5cf75100cec0c591bf2e316c99a58cd817010b76b5594d92592dc369229301bf

Observation 32858df8-dc68-4d5a-b98c-9f90cb384c78 · outbound

This paper cites In: Pro- ceedings of the IEEE conference on computer vision and pattern recognition.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis In: Pro- ceedings of the IEEE conference on computer vision and pattern recognition

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:55:39.127800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:34.716583Z digest=sha256:dbbc88bb343307703477e4ca8c656c6d86531fc3e8bc8a6e64eecf932d0696fc

Observation 28d6e816-5f96-49ab-97f9-f13e5a175d7e · outbound

This paper cites Scientific reports 11(1), 11579 (2021).

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis Scientific reports 11(1), 11579 (2021)

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:55:38.857057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:34.788950Z digest=sha256:ca52e59112c9577de09407852053dc8755cc2e4b58d17bb8b5a8eb641c71c3ae

Observation c2252049-3928-4e7c-ab4c-c22accf00444 · outbound

This paper cites MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:34.880013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:34.880013Z digest=sha256:178169d1739679d6cce672bcf3e52e69fb7150bd20ca55c452b7934b9011b48a

Observation 4f3f1d30-677e-4528-9e6a-8620786bc93e · outbound

This paper cites MMedAgent: Learning to Use Medical Tools with Multi-modal Agent.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis MMedAgent: Learning to Use Medical Tools with Multi-modal Agent

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:34.957853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:34.957853Z digest=sha256:23616e223f7c6f7b8e0b11ee6fc2fed3062c3865b92bf944192d1cf5be7be78b

Observation 3ea9911b-c895-4b94-8a72-0a394fd49f31 · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 16

Resolution
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no resolver link, observed 2026-08-06T15:55:35.042629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:35.042629Z digest=sha256:dbb78fc1bca6310fe9164b0fccc124beb21f0adf4a8373b93c02f1ccdc456b5d

Observation d11a36b0-efed-4ce7-9123-f2e86d2edc45 · outbound

This paper cites WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:35.125701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:35.125701Z digest=sha256:2177c590a7d1e11b8b4d27e3a066eb417e9f111bece2cd0911a643b534b9ad95

Observation d72cb4a6-9ae1-421c-b243-0dd40c155468 · outbound

This paper cites arXiv preprint arXiv:2412.01605 (2024).

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis arXiv preprint arXiv:2412.01605 (2024)

Reference 18

Resolution
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no resolver link, observed 2026-08-06T15:55:35.206772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:35.206772Z digest=sha256:14d4a96861e1719cf9b3d72158ce7f1e4a671f95a923abd2f70b5324a86d4269

Observation 785e07f4-9b0c-48a8-9540-bc8d42d89206 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis AgentBench: Evaluating LLMs as Agents

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:35.317986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:35.317986Z digest=sha256:f8f0c04f026e4d27b7997a371e90cd576a655ea738b0726ccf9010ecbef7f19f

Observation 58564c18-89d9-4600-8f65-cc093526d46a · outbound

This paper cites Nature Medicine30(3), 863–874 (2024).

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis Nature Medicine30(3), 863–874 (2024)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:55:38.730070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:35.470722Z digest=sha256:420400a8ed1fb76a25bf6f6bcc5fd4c7c3357ba61a277d0b00df1db60ad65eb0

Observation 225a9632-1ebe-43af-b919-620d08d1cc65 · outbound

This paper cites In: CVPR.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis In: CVPR

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:55:38.405183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:35.588282Z digest=sha256:52f59ee91107190052468ed0ab8ce439ee1a6381c01b0f3151f6e9f78dce9d4d

Observation aa537109-2acd-4ba0-b8ce-a6b5811838a3 · outbound

This paper cites https://github.com/microsoft/autogen (2023), 2025-02-27.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis https://github.com/microsoft/autogen (2023), 2025-02-27

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:55:38.070799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:35.718910Z digest=sha256:95cf3654b4b571edd4f3f981a8cfe0ce85128173b0f5175464d1916f8dc5d577

Observation 0056211e-dfbd-4b13-b16b-d6d8d1a952a1 · outbound

This paper cites Histopathology76(2), 182 (2019).

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis Histopathology76(2), 182 (2019)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:55:37.970498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:35.827387Z digest=sha256:8ff1220b93b702a7cbb5781cd81597f4fc50d424b2597a2a4f1918fa6258ad2d

Observation a993efef-e31a-476f-9779-9140a81802a5 · outbound

This paper cites an unresolved cited work.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:55:37.795654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:35.949069Z digest=sha256:1d69121992f5c012cf8a69ca8f37cecab029cb43f60f7c745ad15db5714403b2

Observation b7c07393-41df-439d-b258-222c529cdd78 · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis ChatDev: Communicative Agents for Software Development

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:36.036811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:36.036811Z digest=sha256:78817b6d1bda607e628e8b4d5c05eb9cf9f654dc9a52b0ce7572458bb8e0416a

Observation 911937c1-7551-46d6-8c23-d9bf24c382de · outbound

This paper cites In: Proceedings of the IEEE/CVF CVPR (2024) WSI-Agents: A Multi-Agent System for Whole Slide Image Analysis 11.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis In: Proceedings of the IEEE/CVF CVPR (2024) WSI-Agents: A Multi-Agent System for Whole Slide Image Analysis 11

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:55:37.631195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:36.118839Z digest=sha256:8eada3e4190783e9a98ebef07f4829d587f9a3233823bcde94b400c5853cd671

Observation 4ce07f42-4384-42c9-8b90-2cd92fe9474f · outbound

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

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:36.244123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:36.244123Z digest=sha256:d891f543fa249f92faba2deba10090428f0da342312440d5f2d703d998f40d5a

Observation d8a6dd2b-6731-44c7-b20c-27db493feeeb · outbound

This paper cites Histopathology77(2) (2020).

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis Histopathology77(2) (2020)

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:55:37.486299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:36.384785Z digest=sha256:74bb6edbc0874c54a669de7849cece65160e70d89833dad651f604b5a785f99c

Observation 758626e7-02a4-45b1-8ea9-3efac479e8bf · outbound

This paper cites MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:36.515770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:36.515770Z digest=sha256:7158b72be6118bf41bb5d0da1c8606236acfce3522e2ca0420ef3a7a5ada993f

Observation cb640c9f-d426-4136-bda3-26105de4b380 · outbound

This paper cites Computerized Medical Imaging and Graphics87, 101838 (2021).

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis Computerized Medical Imaging and Graphics87, 101838 (2021)

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:55:37.157907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:55:36.590291Z digest=sha256:c9d5efca7cc6e4c81962df341c751e7b95b63f241b858af5d5c14e82866ba69f

Observation f9700116-3b13-41bd-9c9d-bca3d517b60b · outbound

This paper cites Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis

Reference 31

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unresolved
no resolver link, observed 2026-08-06T15:55:36.661121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:36.661121Z digest=sha256:0b4cbd5eab010fd53b6cfeade9dbdd5a3dad96c2684aa337878d135f9b0830b5

Observation 918e6538-594b-40d4-955b-50a4064c65a0 · outbound

This paper cites Nature pp.

WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis Nature pp

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:36.749230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:36.749230Z digest=sha256:01726b247754a9f9eb2bd22a5555378d87151f6bff412ba9c7b0863f1e708632

Pith citing papers

Observation 344bd18b-1f32-41ed-bd81-f6061a64c58a · inbound

WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image cites this paper.

WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T23:51:13.734297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:51:13.734297Z digest=sha256:11b0f5fe1431310bce5c13566457e5f0b123e111c6f93d997a978a44c6e378d6

Observation 46845d9c-d0d9-4977-9e74-b58bb2997ff7 · inbound

Thinking Like a Clinician: A Cognitive AI Agent for Clinical Diagnosis via Panoramic Profiling and Adversarial Debate cites this paper.

Thinking Like a Clinician: A Cognitive AI Agent for Clinical Diagnosis via Panoramic Profiling and Adversarial Debate WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:16:13.041932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T06:13:20.867778Z digest=sha256:ad25b2ab183577cce0ff323161cc8af8a65062b2dad24f71af7dd4f1f01c0238

Observation 895ce831-a6f8-489a-9e6a-52beda3f6ecd · inbound

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning cites this paper.

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:19:27.936591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T20:16:30.070819Z digest=sha256:6dd348cba5a68a87ca4f0a16406c2c8a50e5853a3acfbba4ef56e6702ac42fde

Observation 2fdc1d48-9f63-442c-bff5-212180b631d0 · inbound

PathoSage: Towards Multi-Source Evidence Adjudication in Pathology via Experience-Aware Agentic Workflow cites this paper.

PathoSage: Towards Multi-Source Evidence Adjudication in Pathology via Experience-Aware Agentic Workflow WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:15:01.417141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T18:39:14.083052Z digest=sha256:27e9ac0f30eb025b37cc36c74d5dc2def6bd1446ab835d9da3ede344c80927d7

Observation 3e03fbdb-612b-4fc4-bd23-f25b9bd3f23b · inbound

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Reference 161

Resolution
unresolved
no resolver link, observed 2026-07-14T06:30:16.612345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:30:16.612345Z digest=sha256:a9e58e251370640368459492aae03aad26aacfb2b6b25bf5bcdcf75004e07c77

Observation 226b47f0-53c5-40b1-8aed-b45f978006f5 · inbound

Evaluating Agentic Bioinformatics through Function, Evidence, and Validation cites this paper.

Evaluating Agentic Bioinformatics through Function, Evidence, and Validation WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-01T05:48:25.471142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:48:25.471142Z digest=sha256:b48ca74691ac3c07a5d3676979798be19e2b49bfcf0fb7c1eeb969d6394d3812

Observation e823c913-5129-4c3c-a401-9fbaeb3d6419 · inbound

PathView-Bench: Can Multimodal Large Language Models Achieve Fine-grained Multiscale Understanding of Pathology Images? cites this paper.

PathView-Bench: Can Multimodal Large Language Models Achieve Fine-grained Multiscale Understanding of Pathology Images? WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-31T11:25:33.259941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T11:25:33.259941Z digest=sha256:fee842397b28d017519e11dac375d7d4164386a38e7258ec86a0cdc0d2d18080