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Paper Citation Record · LEDGER

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning

As of 20 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.01029.

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

pith.paper-citation-record.v1
2507.01029 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:41:02.632002Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

24 of 24 outbound references displayed

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  • verified fuzzy11
  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86204185-96c6-4e5a-aa3c-f816a7791ba4 · outbound

This paper cites Blip-2: Bootstrapping language-imagepre-trainingwithfrozenimageencodersandlargelanguagemodels.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Blip-2: Bootstrapping language-imagepre-trainingwithfrozenimageencodersandlargelanguagemodels

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dfb0268d-f431-48c2-b7d2-92e5a8c557b5 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36, 2024.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Visual instruction tuning.Advances in neural information processing systems, 36, 2024

Reference 2

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source=pdf_text observed=2026-08-15T19:41:02.560047Z digest=sha256:e29e495edb5adfd1d08ead18258e997c3cdb4c3544d3be7ab3e393a6cd13f0e8

Observation c546542c-eb9c-4ece-9291-07f628cb2118 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 3

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source=pdf_text observed=2026-08-15T19:41:02.563482Z digest=sha256:038d9b281e9463665add158af8db54b8e9433ad339f247135ea9b2492ca5c6f3

Observation 8cfad74f-4e76-4be2-a86f-98a9080dc495 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 4

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source=pdf_text observed=2026-08-15T19:41:02.567368Z digest=sha256:fdcbeabd957c031a32a137e93465edaa8f272ac7ad68c0e3cb8627f75008e8dd

Observation c3cad3db-6e47-4da7-9133-28b55be745e7 · outbound

This paper cites GPT-4 Technical Report.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning GPT-4 Technical Report

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:41:02.570981Z digest=sha256:18e7f9b8b27bc5268e6adef42d8fcd7781941abe53ddc775ab604cda23faf1f5

Observation 83aa5014-19f5-446a-84d2-b5850754c4f6 · outbound

This paper cites Llava-ultra: Large chinese language and vision assistant for ultrasound.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Llava-ultra: Large chinese language and vision assistant for ultrasound

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d6794c53-4eb1-4298-b57a-91d71bc2fe8e · outbound

This paper cites Cxr- llava: a multimodal large language model for interpreting chest x-ray images.Eu- ropean Radiology, pages 1–13, 2025.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Cxr- llava: a multimodal large language model for interpreting chest x-ray images.Eu- ropean Radiology, pages 1–13, 2025

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:41:02.577920Z digest=sha256:fed2e65852bed91d28da57747efa1aacea3a3fc4bdee0a8027db224f766c2786

Observation 5e5ab396-4fac-4b05-ad23-16b9520b3c42 · outbound

This paper cites Pathasst: A generative foundation ai as- sistant towards artificial general intelligence of pathology.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Pathasst: A generative foundation ai as- sistant towards artificial general intelligence of pathology

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b2addb7d-440d-48ee-af68-a79a2140e7b8 · outbound

This paper cites Quilt-llava: Visual instruction tuning by extracting localized narratives from open-source histopathology videos.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Quilt-llava: Visual instruction tuning by extracting localized narratives from open-source histopathology videos

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:41:02.584392Z digest=sha256:c11b4b8c5193a2bbd1a96f94ab407a2bd49e729aa96be42b0fd511734af90f27

Observation 8db7b20b-0428-4b01-9a58-64705bd4a3c4 · outbound

This paper cites A multimodal generative ai copilot for human pathology.Nature, 634(8033):466–473, 2024.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning A multimodal generative ai copilot for human pathology.Nature, 634(8033):466–473, 2024

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:41:02.587408Z digest=sha256:6004e28e51b9e147f19c506ad3c18362665d5c3cbd94179738fc22fce7ab6265

Observation 112efdfb-2fc8-4eb6-955a-939c68afb3e1 · outbound

This paper cites Large language models are zero-shot reasoners.Advances in neural information processing systems, 35:22199–22213, 2022.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Large language models are zero-shot reasoners.Advances in neural information processing systems, 35:22199–22213, 2022

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:41:02.590452Z digest=sha256:696bd3e2d7f7e6611cb3ca942fc0ca687ab8fb5fdf7b1d5d74e2e38113bd2f53

Observation dabf0b76-bd0e-4cb6-b805-7be0b716ebd2 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 12

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Observation 1f44f547-4dd1-4adf-9ad5-8abeeb0b5777 · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Automatic Chain of Thought Prompting in Large Language Models

Reference 13

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source=pdf_text observed=2026-08-15T19:41:02.596396Z digest=sha256:ed72e9c9ba10247f78c06e2bb8df0f50693d8b4474e833baf20bc80cb0c688b8

Observation a9d791d7-b9b3-4314-a43a-31093726ba5c · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Multimodal Chain-of-Thought Reasoning in Language Models

Reference 14

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source=pdf_text observed=2026-08-15T19:41:02.599892Z digest=sha256:e50d5841f45ac9dce7884367ff7c1b8d6d8bea75463bbe7a8b0e2aad6ce9c662

Observation 13cbbae4-c2d4-4f63-a01b-af43f02510ad · outbound

This paper cites Good Questions Help Zero-Shot Image Reasoning.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Good Questions Help Zero-Shot Image Reasoning

Reference 15

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source=pdf_text observed=2026-08-15T19:41:02.603064Z digest=sha256:65adb67bc39f15aa5fe5cea3fa4460ca9014a5d9dba5d330eadd13f3de685e8a

Observation 5e086295-1f8f-4f2e-8b18-5ac8bdd32c5d · outbound

This paper cites Ddcot: Duty- distinct chain-of-thought prompting for multimodal reasoning in language models.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Ddcot: Duty- distinct chain-of-thought prompting for multimodal reasoning in language models

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:41:02.606486Z digest=sha256:e3f9d7eb8069fdef13d3e11d6d34b5424541424a855d3306b7b9376c1937f5e7

Observation b9b98253-b8c2-49fb-bfdc-4e3ae47cdc5f · outbound

This paper cites CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image Inputs

Reference 17

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source=pdf_text observed=2026-08-15T19:41:02.609488Z digest=sha256:2537f506a9dcede198c549c4bf6f62eabb32e6e979f5e2b36f9c4156937b1d9e

Observation af3edbad-22d0-4285-8d41-986ade9697b5 · outbound

This paper cites Composi- tional chain-of-thought prompting for large multimodal models.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Composi- tional chain-of-thought prompting for large multimodal models

Reference 18

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raw_fallback, observed 2026-08-15T19:41:02.775791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0988bad6-b0d2-445e-b6d1-ab92b59a06b3 · outbound

This paper cites Pathmmu: A massive multimodal expert-level benchmark for understanding and reasoning in pathology.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Pathmmu: A massive multimodal expert-level benchmark for understanding and reasoning in pathology

Reference 19

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raw_fallback, observed 2026-08-15T19:41:02.766330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:41:02.615846Z digest=sha256:c179c9478f38bda293647c528a87ed3e90ef28250ff3dfff249fa3f1f67e6c6a

Observation fb4bf828-77e6-49d2-9832-790fd762fa01 · outbound

This paper cites Cares: A comprehensive benchmark of trustworthiness in medical vision language models.Advances in Neural Information Processing Systems, 37:140334–140365, 2025.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Cares: A comprehensive benchmark of trustworthiness in medical vision language models.Advances in Neural Information Processing Systems, 37:140334–140365, 2025

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:41:02.618770Z digest=sha256:81e69a4922a4742adf496dad2a77ccc55d8a3d202694d09f10b27a5faa67c1c4

Observation cac1da4b-65a2-48b7-9d02-5d74fab1a635 · outbound

This paper cites MC-CoT: A Modular Collaborative CoT Framework for Zero-shot Medical-VQA with LLM and MLLM Integration.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning MC-CoT: A Modular Collaborative CoT Framework for Zero-shot Medical-VQA with LLM and MLLM Integration

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:41:02.621818Z digest=sha256:215fc8d85f801a9004602d5f7393fb2e2162cef0559bbb19e06c514151758cf2

Observation 6bd6e7f5-c814-4427-93d9-f97fe5db89f2 · outbound

This paper cites A Survey on Mixture of Experts in Large Language Models.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning A Survey on Mixture of Experts in Large Language Models

Reference 22

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source=pdf_text observed=2026-08-15T19:41:02.625441Z digest=sha256:7a77b175425b9e5a247ed517e9ebffd985cd6cf999fdb63f2c1daf74391f35c1

Observation 5604a48b-8bf7-4f93-9240-49a4c6dee94d · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.Advances in neural information processing systems, 32, 2019.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Pytorch: An imperative style, high-performance deep learning library.Advances in neural information processing systems, 32, 2019

Reference 23

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source=pdf_text observed=2026-08-15T19:41:02.628910Z digest=sha256:fbf1fa678b7e7c0369072bdb9bb39b87e456030263402aa9e1792402916a9ba4

Observation c9e941c5-c9f0-4ce8-a0fb-56f886b6f6bf · outbound

This paper cites Cantor: Inspiring multimodal chain-of-thought of mllm.

PathCoT: Chain-of-Thought Prompting for Zero-shot Pathology Visual Reasoning Cantor: Inspiring multimodal chain-of-thought of mllm

Reference 24

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raw_fallback, observed 2026-08-15T19:41:02.739878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.