Paper Citation Record · LEDGER

Capabilities of GPT-5 on Multimodal Medical Reasoning

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 7 inbound Pith citation observations for arXiv:2508.08224.

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

pith.paper-citation-record.v1
2508.08224 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:38:48.245986Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:23:59.316885Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T08:09:51.718410Z

Reference resolution

28 of 28 outbound references displayed

verified exact1
verified fuzzy17
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12897796-2ec2-411e-8c12-214acd2f40fc · outbound

This paper cites GPT-4 Technical Report.

Capabilities of GPT-5 on Multimodal Medical Reasoning GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T21:38:44.424614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 754183a1-a35a-4c4b-b11b-d3e53ba3e446 · outbound

This paper cites DeepSeek-V3 Technical Report.

Capabilities of GPT-5 on Multimodal Medical Reasoning DeepSeek-V3 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T21:38:44.501120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5463f578-f67f-4ce5-965e-97f0faa6fecc · outbound

This paper cites Introducing gpt-5, August 7 2025.

Capabilities of GPT-5 on Multimodal Medical Reasoning Introducing gpt-5, August 7 2025

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:53.006690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2423a0ee-d6ab-4cbd-95ee-8fbbb2cb4900 · outbound

This paper cites Llm-mediated data extraction from patient records after radical prostatectomy.

Capabilities of GPT-5 on Multimodal Medical Reasoning Llm-mediated data extraction from patient records after radical prostatectomy

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:52.828334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8402f17d-93a8-4c31-b53d-3d952a83d9bd · outbound

This paper cites Large language models encode clinical knowledge.

Capabilities of GPT-5 on Multimodal Medical Reasoning Large language models encode clinical knowledge

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T21:38:45.012809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 509b6074-a527-4953-bb94-67080019734b · outbound

This paper cites GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking.

Capabilities of GPT-5 on Multimodal Medical Reasoning GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T21:38:45.140675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c480e29-2576-4a0c-8eb6-76e1807e3470 · outbound

This paper cites Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging.

Capabilities of GPT-5 on Multimodal Medical Reasoning Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T21:38:45.312202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1714f79a-990d-41ea-812c-5020fa6864d7 · outbound

This paper cites Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation.

Capabilities of GPT-5 on Multimodal Medical Reasoning Unifying Biomedical Vision-Language Expertise: Towards a Generalist Foundation Model via Multi-CLIP Knowledge Distillation

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-05T21:38:48.592280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b7976f73-e60c-4130-bb85-6342b6d77e95 · outbound

This paper cites Application of large language models in medicine.

Capabilities of GPT-5 on Multimodal Medical Reasoning Application of large language models in medicine

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:52.619890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c564920-ea5f-431a-bb85-8d025692f02f · outbound

This paper cites Capabilities of GPT-4 on Medical Challenge Problems.

Capabilities of GPT-5 on Multimodal Medical Reasoning Capabilities of GPT-4 on Medical Challenge Problems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T21:38:45.679328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f73965e5-c2fd-4718-bfed-6b8b3f099390 · outbound

This paper cites Large language models in medicine.

Capabilities of GPT-5 on Multimodal Medical Reasoning Large language models in medicine

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T21:38:45.838484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61e9ac74-bbb2-4a6e-9d99-363d1028a6a5 · outbound

This paper cites Advancing medical imaging with language models: featuring a spotlight on chatgpt.

Capabilities of GPT-5 on Multimodal Medical Reasoning Advancing medical imaging with language models: featuring a spotlight on chatgpt

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:52.427926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0dff34bc-0655-48d2-bb3a-3c9f11f6cc01 · outbound

This paper cites Introducing gpt-3.5, March 1 2023.

Capabilities of GPT-5 on Multimodal Medical Reasoning Introducing gpt-3.5, March 1 2023

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:52.210579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 30c7e57b-7d81-40f2-aa78-7a2bfe1f3089 · outbound

This paper cites Performance of multimodal gpt-4v on usmle with image: potential for imaging diagnostic support with explanations.

Capabilities of GPT-5 on Multimodal Medical Reasoning Performance of multimodal gpt-4v on usmle with image: potential for imaging diagnostic support with explanations

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:52.014149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6773db67-637e-4f46-bea6-bd4a63d140a7 · outbound

This paper cites Chatgpt versus the neurosurgical written boards: a comparative analysis of artificial intelligence/machine learning performance on neurosurgical board–style questions.

Capabilities of GPT-5 on Multimodal Medical Reasoning Chatgpt versus the neurosurgical written boards: a comparative analysis of artificial intelligence/machine learning performance on neurosurgical board–style questions

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:51.856133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation baa31598-ca45-4d55-9bef-dcc2305a8dbe · outbound

This paper cites Assessing the performance of chatgpt in answering questions regarding cirrhosis and hepatocellular carcinoma.

Capabilities of GPT-5 on Multimodal Medical Reasoning Assessing the performance of chatgpt in answering questions regarding cirrhosis and hepatocellular carcinoma

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:51.677026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f97808b6-6ad8-4537-84c6-2f32cc0c5f73 · outbound

This paper cites Assessing the accuracy and reliability of ai-generated medical responses: an evaluation of the chat-gpt model.

Capabilities of GPT-5 on Multimodal Medical Reasoning Assessing the accuracy and reliability of ai-generated medical responses: an evaluation of the chat-gpt model

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:51.520601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7d93d973-b6fc-495b-a1f3-da674ef09b23 · outbound

This paper cites Gpt-4 in radiology: improvements in advanced reasoning.

Capabilities of GPT-5 on Multimodal Medical Reasoning Gpt-4 in radiology: improvements in advanced reasoning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:51.378646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 63722aac-897e-4689-b683-95ebc2f8b841 · outbound

This paper cites Chatgpt for digital pathology research.

Capabilities of GPT-5 on Multimodal Medical Reasoning Chatgpt for digital pathology research

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:51.105904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56b12aaa-55cf-4c10-9b28-0515dc8ee49a · outbound

This paper cites an unresolved cited work.

Capabilities of GPT-5 on Multimodal Medical Reasoning Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-05T21:38:50.880464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6948fad4-a010-45e7-86d9-a5dbeef0d6df · outbound

This paper cites Comparison of the quality of discharge letters written by large language models and junior clinicians: single-blinded study.

Capabilities of GPT-5 on Multimodal Medical Reasoning Comparison of the quality of discharge letters written by large language models and junior clinicians: single-blinded study

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:50.616751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8d325bfe-cdbe-476f-80dd-322b3b222d5a · outbound

This paper cites Ehrnoteqa: An llm benchmark for real-world clinical practice using discharge summaries.

Capabilities of GPT-5 on Multimodal Medical Reasoning Ehrnoteqa: An llm benchmark for real-world clinical practice using discharge summaries

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:50.285430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 284cd70e-df3f-4f84-86ed-c6b831ef8b7e · outbound

This paper cites Large language model integrations in cancer decision-making: a systematic review and meta- analysis.

Capabilities of GPT-5 on Multimodal Medical Reasoning Large language model integrations in cancer decision-making: a systematic review and meta- analysis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:49.851358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6ab6d154-303b-4029-a918-8dd37ab8ee0f · outbound

This paper cites What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.

Capabilities of GPT-5 on Multimodal Medical Reasoning What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T21:38:47.687961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 308cef7e-0ddf-47f9-9654-c8a56e16d28c · outbound

This paper cites Measuring massive multitask language understanding.

Capabilities of GPT-5 on Multimodal Medical Reasoning Measuring massive multitask language understanding

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:49.512916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fa156652-f7ce-43d7-94fb-709750bf273d · outbound

This paper cites A dataset of clinically generated visual questions and answers about radiology images.

Capabilities of GPT-5 on Multimodal Medical Reasoning A dataset of clinically generated visual questions and answers about radiology images

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:49.235999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f8be9093-1622-40c3-9f40-0cdeebdd0e72 · outbound

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

Capabilities of GPT-5 on Multimodal Medical Reasoning MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T21:38:48.110957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfa6fdcc-71f7-4a5e-83f9-fce7976cf633 · outbound

This paper cites Performance of chatgpt on usmle: potential for ai-assisted medical education using large language models.

Capabilities of GPT-5 on Multimodal Medical Reasoning Performance of chatgpt on usmle: potential for ai-assisted medical education using large language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T21:38:48.932054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation df0f75b1-79c5-4e61-8304-a527f1641e29 · inbound

MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows cites this paper.

MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows Capabilities of GPT-5 on Multimodal Medical Reasoning

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T00:08:21.648595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 47a02ffc-5ad4-4e0a-9370-de99b3808546 · inbound

Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video Grounding cites this paper.

Bridging Time and Space: Decoupled Spatio-Temporal Alignment for Video Grounding Capabilities of GPT-5 on Multimodal Medical Reasoning

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:15:52.778358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e9108142-8400-4a57-a6fd-34e1985fdeaa · inbound

Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories cites this paper.

Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories Capabilities of GPT-5 on Multimodal Medical Reasoning

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:31:04.071953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0bb014a5-9339-41bd-9f59-5343c0c4526b · inbound

RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models cites this paper.

RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models Capabilities of GPT-5 on Multimodal Medical Reasoning

Reference 108

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:35:19.245005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 933b0d4a-4538-4f85-9f91-65b4693b21bc · inbound

CodeClinic: Evaluating Automation of Coding Skills for Clinical Reasoning Agents cites this paper.

CodeClinic: Evaluating Automation of Coding Skills for Clinical Reasoning Agents Capabilities of GPT-5 on Multimodal Medical Reasoning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:41:46.168651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a4f7c281-4987-43b1-919e-06b097e94376 · inbound

Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis cites this paper.

Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis Capabilities of GPT-5 on Multimodal Medical Reasoning

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:09:51.720364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 555f361b-b022-41fd-9b90-1450682c9c25 · inbound

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement cites this paper.

CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement Capabilities of GPT-5 on Multimodal Medical Reasoning

Reference 162

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:59.316885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.