Paper Citation Record · LEDGER

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding

As of 20 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 3 inbound Pith citation observations for arXiv:2506.04353.

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

pith.paper-citation-record.v1
2506.04353 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:47:46.989239Z

measured 32 of 32 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:23:58.746697Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T18:41:09.471825Z

Reference resolution

29 of 29 outbound references displayed

verified exact1
verified fuzzy19
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ba01f0e-1b52-406e-813f-0f9d227fe5e0 · outbound

This paper cites Hasan, Vivek Datla, Joey Liu, Dina Demner-Fushman, and Henning M \"u ller.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Hasan, Vivek Datla, Joey Liu, Dina Demner-Fushman, and Henning M \"u ller

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.490372Z

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.

Observation efb3b83b-2f4d-4488-a36e-28826389efad · outbound

This paper cites Hasan, Dina Demner-Fushman, and Henning M \"u ller.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Hasan, Dina Demner-Fushman, and Henning M \"u ller

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.474187Z

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.

Observation a9740780-d381-494c-a52f-f8afd0b2cb66 · outbound

This paper cites Qwen-vl: An open-source vision-language model by alibaba.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Qwen-vl: An open-source vision-language model by alibaba

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.458883Z

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.

Observation 42313cbf-7822-4f39-be1e-d1c43ac655a3 · outbound

This paper cites Mimic-ext-mimic-cxr-vqa: A complex, diverse, and large-scale visual question answering dataset for chest x-ray images, 2024 b.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Mimic-ext-mimic-cxr-vqa: A complex, diverse, and large-scale visual question answering dataset for chest x-ray images, 2024 b

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:46.875951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d299bdda-f2ec-4654-9ec1-63b1b6bbb8f5 · outbound

This paper cites Ehrxqa: A multi-modal question answering dataset for electronic health records with chest x-ray images.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Ehrxqa: A multi-modal question answering dataset for electronic health records with chest x-ray images

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.443413Z

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.

Observation b88c9017-a574-451c-a97b-190bfb090d8b · outbound

This paper cites Qwen2.5-VL Technical Report.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Qwen2.5-VL Technical Report

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:46.884124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aa5aaad-124e-4116-b64d-33ecd39265e2 · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:46.889618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16db51d5-ff45-46e3-875c-464a18a03aa3 · outbound

This paper cites Gemini pro vision: Google's multimodal model for complex reasoning.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Gemini pro vision: Google's multimodal model for complex reasoning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.427625Z

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.

Observation a9ba9a11-92fe-425c-bf04-03ed14369b10 · outbound

This paper cites Medgemma hugging face.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Medgemma hugging face

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.405883Z

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.

Observation 9d6f32ab-b904-4358-8ab5-7a189b0c797f · outbound

This paper cites Zeng, and Long H.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Zeng, and Long H

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.382445Z

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.

Observation 758a172c-6914-4211-9e05-e9f2976fa307 · outbound

This paper cites An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.365384Z

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.

Observation e1188ec8-cb54-43ef-a260-5d3f56b48e49 · outbound

This paper cites Medical-Diff-VQA: A Large-Scale Medical Dataset for Difference Visual Question Answering on Chest X-Ray Images (version 1.0.1).

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Medical-Diff-VQA: A Large-Scale Medical Dataset for Difference Visual Question Answering on Chest X-Ray Images (version 1.0.1)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:46.913075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc81b933-0abf-4d3a-a7f8-294435626d9a · outbound

This paper cites Lau, Soumya Gayen, Asma Ben Abacha, and Dina Demner-Fushman.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Lau, Soumya Gayen, Asma Ben Abacha, and Dina Demner-Fushman

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.349097Z

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.

Observation f2fc14f6-9734-4a9e-9001-c296d11d4b84 · outbound

This paper cites Lau, Soumya Gayen, Asma Ben Abacha, and Dina Demner-Fushman.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Lau, Soumya Gayen, Asma Ben Abacha, and Dina Demner-Fushman

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.330902Z

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.

Observation 9c95f372-a496-4127-bad7-6d43e929ea48 · outbound

This paper cites Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:46.925421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b96e4ca-92f2-4be3-afad-6edb219433f3 · outbound

This paper cites GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:47:47.110086Z

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.

Observation d54a21c9-6fe5-4bcc-8226-4d44f562eeb0 · outbound

This paper cites Krumholz, Jure Leskovec, Eric J.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Krumholz, Jure Leskovec, Eric J

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:46.934462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45855974-ac50-4664-90a7-33de99df1159 · outbound

This paper cites Clinicalbert fine-tuned for medical note de-identification.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Clinicalbert fine-tuned for medical note de-identification

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.302494Z

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.

Observation 2e7eef14-9b27-40b6-af04-880c4533567e · outbound

This paper cites Gemini goes to med school: Exploring the capabilities of multimodal large language models on medical challenge problems & hallucinations.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Gemini goes to med school: Exploring the capabilities of multimodal large language models on medical challenge problems & hallucinations

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.286956Z

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.

Observation c0794707-3dcd-45a7-9953-558d9ffcf02c · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:46.947695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03736d6b-e19d-4b3c-9ef1-371c86c90cfc · outbound

This paper cites Phi-2 vision: Microsoft's vision-language model.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Phi-2 vision: Microsoft's vision-language model

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.272136Z

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.

Observation 872e64c1-57e5-4871-9d91-f7cafc619c58 · outbound

This paper cites Llava 1.5: Open-source vision-language model.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Llava 1.5: Open-source vision-language model

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.254170Z

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.

Observation cb198e47-e3c0-4992-ae2f-f9f8d99c4e3a · outbound

This paper cites Expert-level detection of pathologies from unannotated chest x-ray images via self-supervised learning.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Expert-level detection of pathologies from unannotated chest x-ray images via self-supervised learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.236555Z

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.

Observation 550c2ef5-6039-42cf-8003-17d35e55133f · outbound

This paper cites Interactive computer-aided diagnosis on medical image using large language models.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Interactive computer-aided diagnosis on medical image using large language models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.221422Z

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.

Observation a9c0c55c-c7f4-4ee6-907f-16fcdd283a79 · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:46.970025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a23e8ad5-9481-4fc5-9ba4-f58b472ddf1b · outbound

This paper cites Medklip: Medical knowledge enhanced language-image pre-training for x-ray diagnosis.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Medklip: Medical knowledge enhanced language-image pre-training for x-ray diagnosis

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.206850Z

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.

Observation 915056d0-4cf6-47b6-b46d-2b369e2fa5ef · outbound

This paper cites Knowledge-enhanced visual-language pre-training on chest radiology images.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Knowledge-enhanced visual-language pre-training on chest radiology images

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.192385Z

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.

Observation 2709546f-f439-4578-b3c5-1d54f764e448 · outbound

This paper cites Development of a large-scale medical visual question-answering dataset.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding Development of a large-scale medical visual question-answering dataset

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:47:47.177372Z

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.

Observation 0a78fcea-23e5-47e6-a84e-1409d7e94989 · outbound

This paper cites ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports.

ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:47:46.989239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 91c7190a-e34e-48fc-a2ce-d17243b8baa2 · inbound

MedRCube: A Multidimensional Framework for Fine-Grained and In-Depth Evaluation of MLLMs in Medical Imaging cites this paper.

MedRCube: A Multidimensional Framework for Fine-Grained and In-Depth Evaluation of MLLMs in Medical Imaging ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:50:25.213954Z

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.

Observation dee71b23-d184-4802-8ec6-90e91c576b9e · inbound

CXR-ContraBench: Benchmarking Negated-Option Attraction in Medical VLMs cites this paper.

CXR-ContraBench: Benchmarking Negated-Option Attraction in Medical VLMs ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:41:09.474443Z

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.

Observation 83429136-7f84-48c4-ae86-8b3484327144 · 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 ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T10:23:58.746697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.