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Paper Citation Record · LEDGER

Enhancing Pathological VLMs with Cross-scale Reasoning

As of 5 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2606.17412.

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

pith.paper-citation-record.v1
2606.17412 v4

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:07:07.956663Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T12:15:45.779292Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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External citation measurements

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Outbound references

Observation f80cc10b-f272-49a4-ba1c-a486b7bc9024 · outbound

This paper cites The Journal of pathol- ogy249(3), 286–294 (2019).

Enhancing Pathological VLMs with Cross-scale Reasoning The Journal of pathol- ogy249(3), 286–294 (2019)

Reference 1

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Observation a8cb6e58-9464-4d68-9c10-1aabd84135b5 · outbound

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

Enhancing Pathological VLMs with Cross-scale Reasoning In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 2

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Observation 0576dda0-577a-4bff-bcc8-333686e5e7e3 · outbound

This paper cites Qwen2.5-VL Technical Report.

Enhancing Pathological VLMs with Cross-scale Reasoning Qwen2.5-VL Technical Report

Reference 3

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source=pdf_text observed=2026-08-02T11:07:05.172792Z digest=sha256:fa6163e99c0e98e0799376ee1a3881636ceb2d8751af7ff54d533430c7d01ab0

Observation e8a4cb0b-b1cc-44bd-9cba-3f3169194c48 · outbound

This paper cites Nature Computational Science (2025).

Enhancing Pathological VLMs with Cross-scale Reasoning Nature Computational Science (2025)

Reference 4

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source=pdf_text observed=2026-08-02T11:07:05.303486Z digest=sha256:1de64f5baf9d953de886fc833dac9db7781f9b4d3fdddc2658239ac6ed41c8b3

Observation 5e2d6015-3661-4b9a-96e3-6af1b9128463 · outbound

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

Enhancing Pathological VLMs with Cross-scale Reasoning In: European Conference on Com- puter Vision

Reference 5

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source=pdf_text observed=2026-08-02T11:07:05.451926Z digest=sha256:9257c0b1c3220fb67880bb07dbb0b50e2906cdb89f9fcefc6ec731459c6535a4

Observation a40eac36-fd8c-45ef-848d-c328837f7a63 · outbound

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

Enhancing Pathological VLMs with Cross-scale Reasoning SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding

Reference 6

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source=pdf_text observed=2026-08-02T11:07:05.532943Z digest=sha256:2dca98f984f78d65233cc4a94ad65eb1df04d9c7d335965447f5a46c8be624d5

Observation a829bcf8-2800-4e68-9ae7-eb16fdc78451 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Enhancing Pathological VLMs with Cross-scale Reasoning In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 7

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Observation 163618a8-963f-4052-ab66-a2e62a977244 · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

Enhancing Pathological VLMs with Cross-scale Reasoning SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 8

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Observation 8ddf6a67-686a-4995-946e-21877f4b9b1c · outbound

This paper cites Nucleic acids research 44(8), e71–e71 (2016).

Enhancing Pathological VLMs with Cross-scale Reasoning Nucleic acids research 44(8), e71–e71 (2016)

Reference 9

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Observation 4b6c7204-910d-4edb-9971-e5bcf69a1688 · outbound

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

Enhancing Pathological VLMs with Cross-scale Reasoning In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 10

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source=pdf_text observed=2026-08-02T11:07:06.038695Z digest=sha256:3d9ec172e862c9cae14d03f1406adfd9ab19c3b4aafd9f39e8b133cf740acb40

Observation 7f1fe836-a913-4dbd-a0ee-d64f258177d7 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Enhancing Pathological VLMs with Cross-scale Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

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Observation 3cca6f69-a710-4748-bf2d-db504ffaaf53 · outbound

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

Enhancing Pathological VLMs with Cross-scale Reasoning In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 12

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Observation c40dca16-ef24-4a79-a254-aaa451cf50c5 · outbound

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

Enhancing Pathological VLMs with Cross-scale Reasoning PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 13

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Observation af9796e8-440f-4753-9d7d-bdcbce9901c8 · outbound

This paper cites Advances in Neural Information Processing Systems36, 28541–28564 (2023).

Enhancing Pathological VLMs with Cross-scale Reasoning Advances in Neural Information Processing Systems36, 28541–28564 (2023)

Reference 14

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Observation 145dc5cb-1405-43a9-8b9d-32b80c9e32ab · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Enhancing Pathological VLMs with Cross-scale Reasoning In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 15

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Observation 5fb7c810-2fab-475a-ab8d-29a617deaa34 · outbound

This paper cites UnPuzzle: A Unified Framework for Pathology Image Analysis.

Enhancing Pathological VLMs with Cross-scale Reasoning UnPuzzle: A Unified Framework for Pathology Image Analysis

Reference 16

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Observation 92b3b727-b25d-4538-a484-6358fc55e922 · outbound

This paper cites Nature634(8033), 466–473 (Oct 2024).

Enhancing Pathological VLMs with Cross-scale Reasoning Nature634(8033), 466–473 (Oct 2024)

Reference 17

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Observation b3ade5e7-a68b-4a2d-bf88-fce36e79ca40 · outbound

This paper cites arXiv e-prints pp.

Enhancing Pathological VLMs with Cross-scale Reasoning arXiv e-prints pp

Reference 18

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Observation e02a89d6-4974-4e26-b442-34df54357e2d · outbound

This paper cites In: Proceedings of the 58th annual meet- ing of the association for computational linguistics.

Enhancing Pathological VLMs with Cross-scale Reasoning In: Proceedings of the 58th annual meet- ing of the association for computational linguistics

Reference 19

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Observation c0684cc4-b974-4486-8372-65ad05c027fe · outbound

This paper cites OpenAI GPT-5 System Card.

Enhancing Pathological VLMs with Cross-scale Reasoning OpenAI GPT-5 System Card

Reference 20

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Observation 9e6c80ae-7552-4ae7-934a-936647acd6a3 · outbound

This paper cites In: European Conference on Computer Vision.

Enhancing Pathological VLMs with Cross-scale Reasoning In: European Conference on Computer Vision

Reference 21

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source=pdf_text observed=2026-08-02T11:07:07.278572Z digest=sha256:b390660eeeed98ad66a9da1ad7bc4d305b641c76e2d7c744bffd4a96b86bf721

Observation d160fdb7-9c0b-4111-baed-c2c088f6391c · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Enhancing Pathological VLMs with Cross-scale Reasoning Gemini: A Family of Highly Capable Multimodal Models

Reference 22

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Observation 3c5fc136-e10e-4920-ad8e-233ef1fb0a71 · outbound

This paper cites Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning.

Enhancing Pathological VLMs with Cross-scale Reasoning Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning

Reference 23

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Observation 83f606d9-455a-4956-964e-29f2ee26ba79 · outbound

This paper cites A Versatile Pathology Co-pilot via Reasoning Enhanced Multimodal Large Language Model.

Enhancing Pathological VLMs with Cross-scale Reasoning A Versatile Pathology Co-pilot via Reasoning Enhanced Multimodal Large Language Model

Reference 24

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Observation 742fdd5a-7d5d-4cff-b21a-1364dbc3a87c · outbound

This paper cites HuatuoGPT, towards Taming Language Model to Be a Doctor.

Enhancing Pathological VLMs with Cross-scale Reasoning HuatuoGPT, towards Taming Language Model to Be a Doctor

Reference 25

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Observation d38f9272-656f-4c00-b255-f87a905f59c9 · outbound

This paper cites arXiv preprint arXiv:2505.11404 (2025).

Enhancing Pathological VLMs with Cross-scale Reasoning arXiv preprint arXiv:2505.11404 (2025)

Reference 26

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Observation 26ee4622-8afe-4202-a396-0b7afced2300 · outbound

This paper cites Nature Machine Intelligence1(5), 236–245 (2019).

Enhancing Pathological VLMs with Cross-scale Reasoning Nature Machine Intelligence1(5), 236–245 (2019)

Reference 27

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Pith citing papers

Observation b3793fa5-d2ce-4533-913e-1b6f1ac9c41b · inbound

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis cites this paper.

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis Enhancing Pathological VLMs with Cross-scale Reasoning

Reference 22

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