Paper Citation Record · LEDGER

PathVQA: 30000+ Questions for Medical Visual Question Answering

As of 4 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 100 inbound Pith citation observations for arXiv:2003.10286.

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

pith.paper-citation-record.v1
2003.10286 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T05:14:18.811897Z

measured 134 of 134 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 100 of 101 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:27:40.670196Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T18:57:31.568292Z

Reference resolution

34 of 34 outbound references displayed

verified exact4
verified fuzzy30
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ddac526e-6a12-4808-80a9-b86e9702fd7e · outbound

This paper cites Vqa: Visual question answering.

PathVQA: 30000+ Questions for Medical Visual Question Answering Vqa: Visual question answering

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:19.057245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7dade1d9-3cf2-4b4f-b936-38194f2644cd · outbound

This paper cites A multi-world approach to question answering about real-world scenes based on uncertain input.

PathVQA: 30000+ Questions for Medical Visual Question Answering A multi-world approach to question answering about real-world scenes based on uncertain input

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:19.070542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c639829-3394-4a2d-93a6-f7fb5a9cb0a1 · outbound

This paper cites Image question answering: A visual semantic embedding model and a new dataset.

PathVQA: 30000+ Questions for Medical Visual Question Answering Image question answering: A visual semantic embedding model and a new dataset

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:19.076632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8ab75e1e-3032-4e3e-a379-73e2322c7c9c · outbound

This paper cites Clevr: A diagnostic dataset for compositional language and elementary visual reasoning.

PathVQA: 30000+ Questions for Medical Visual Question Answering Clevr: A diagnostic dataset for compositional language and elementary visual reasoning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:19.082401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 92fff5b6-6a0f-498d-a3de-69a194bd952a · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering.

PathVQA: 30000+ Questions for Medical Visual Question Answering Making the v in vqa matter: Elevating the role of image understanding in visual question answering

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.897274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 57cfae42-e73f-4289-96e7-f499cea12b3b · outbound

This paper cites Vqa-med: Overview of the medical visual question answering task at imageclef 2019.

PathVQA: 30000+ Questions for Medical Visual Question Answering Vqa-med: Overview of the medical visual question answering task at imageclef 2019

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.903661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0c8334b1-dde1-4388-98eb-2626fba3c9d9 · outbound

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

PathVQA: 30000+ Questions for Medical Visual Question Answering A dataset of clinically generated visual questions and answers about radiology images

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.911292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation af10f9a6-84a9-4bdb-99b8-ef238ca55e11 · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

PathVQA: 30000+ Questions for Medical Visual Question Answering Indoor segmentation and support inference from rgbd images

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.917328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 750dafe0-4443-4f25-8e47-108788da5285 · outbound

This paper cites Microsoft coco: Common objects in context.

PathVQA: 30000+ Questions for Medical Visual Question Answering Microsoft coco: Common objects in context

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.922989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 50412d76-bdb8-4046-b3c7-df2cf277fa2b · outbound

This paper cites Zero-shot learning via visual abstraction.

PathVQA: 30000+ Questions for Medical Visual Question Answering Zero-shot learning via visual abstraction

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.929089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6f4fdfe4-c4fb-4880-9a73-bfb66056f853 · outbound

This paper cites Bringing semantics into focus using visual abstraction.

PathVQA: 30000+ Questions for Medical Visual Question Answering Bringing semantics into focus using visual abstraction

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.934837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d7161b33-73b5-4507-b8be-3a1da3d58d83 · outbound

This paper cites Are you smarter than a sixth grader? textbook question answering for multimodal machine comprehension.

PathVQA: 30000+ Questions for Medical Visual Question Answering Are you smarter than a sixth grader? textbook question answering for multimodal machine comprehension

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.940354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 42c750f1-f161-41c2-9c5a-444cff64ff15 · outbound

This paper cites Accurate unlexicalized parsing.

PathVQA: 30000+ Questions for Medical Visual Question Answering Accurate unlexicalized parsing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.949946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ce478b52-2e65-4194-a835-1ae7af2ec1a0 · outbound

This paper cites A question type driven framework to diversify visual question generation.

PathVQA: 30000+ Questions for Medical Visual Question Answering A question type driven framework to diversify visual question generation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.957911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b05874c2-ad82-4c3b-9aca-0bea7cd276f3 · outbound

This paper cites Auto-Encoding Variational Bayes.

PathVQA: 30000+ Questions for Medical Visual Question Answering Auto-Encoding Variational Bayes

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:14:18.852071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 50019656-3e55-49f8-88a3-ba97e1947a8e · outbound

This paper cites The pythy summarization system: Microsoft research at duc 2007.

PathVQA: 30000+ Questions for Medical Visual Question Answering The pythy summarization system: Microsoft research at duc 2007

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.964322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 147ef4b4-e469-49a5-b67c-cb442207c555 · outbound

This paper cites Hedge trimmer: A parse-and-trim approach to headline generation.

PathVQA: 30000+ Questions for Medical Visual Question Answering Hedge trimmer: A parse-and-trim approach to headline generation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.969010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 55b62d09-6239-46f6-819f-aa27d25b9120 · outbound

This paper cites The Stanford CoreNLP natural language processing toolkit.

PathVQA: 30000+ Questions for Medical Visual Question Answering The Stanford CoreNLP natural language processing toolkit

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.974465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fe2bfa7d-53ad-48b9-bf84-a6f70a54be4b · outbound

This paper cites Question generation via overgenerating transformations and ranking.

PathVQA: 30000+ Questions for Medical Visual Question Answering Question generation via overgenerating transformations and ranking

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.979604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e8895e43-7ce8-4774-aff1-92430b7ba365 · outbound

This paper cites Bilinear attention networks.

PathVQA: 30000+ Questions for Medical Visual Question Answering Bilinear attention networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.984833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b8e7f744-07ca-4265-bac7-c693f45fe7f4 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

PathVQA: 30000+ Questions for Medical Visual Question Answering Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:14:18.887439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f390daf-34b9-4ba8-b4b6-b06ff06a5ee0 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

PathVQA: 30000+ Questions for Medical Visual Question Answering Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.990504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e9abc153-d43c-4466-8124-a2eeb46dd1dc · outbound

This paper cites Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding.

PathVQA: 30000+ Questions for Medical Visual Question Answering Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:14:18.876533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8a75d1be-2492-4fdf-bc43-d79254783016 · outbound

This paper cites Long short-term memory.

PathVQA: 30000+ Questions for Medical Visual Question Answering Long short-term memory

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:18.997491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e60e5d4d-54ae-49ac-98f4-5721e50ce35d · outbound

This paper cites Stacked attention networks for image question answering.

PathVQA: 30000+ Questions for Medical Visual Question Answering Stacked attention networks for image question answering

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:19.002028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 713777f3-cf93-404d-b933-5680cf5363ae · outbound

This paper cites Deep residual learning for image recognition.

PathVQA: 30000+ Questions for Medical Visual Question Answering Deep residual learning for image recognition

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:19.009146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f9124f0e-db32-42ed-ba4b-91cb91e0b408 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

PathVQA: 30000+ Questions for Medical Visual Question Answering Very deep convolutional networks for large-scale image recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:19.019755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d0fbc438-42ea-4fd1-aed9-0ead272ebf34 · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.

PathVQA: 30000+ Questions for Medical Visual Question Answering Visual genome: Connecting language and vision using crowdsourced dense image annotations

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:19.024743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fd18e1ad-3a05-4f49-a162-26dff567063e · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

PathVQA: 30000+ Questions for Medical Visual Question Answering Imagenet: A large-scale hierarchical image database

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:19.032097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 59b7eb34-1ace-4e81-a856-091966602e26 · outbound

This paper cites Glove: Global vectors for word representation.

PathVQA: 30000+ Questions for Medical Visual Question Answering Glove: Global vectors for word representation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:19.038157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fc875830-affa-4ec3-92a1-ea36d42a7f06 · outbound

This paper cites Imagenet classiﬁcation with deep convolutional neural networks.

PathVQA: 30000+ Questions for Medical Visual Question Answering Imagenet classiﬁcation with deep convolutional neural networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:19.045736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 01799b3f-1e83-4d11-b0fb-906468a6a8f2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

PathVQA: 30000+ Questions for Medical Visual Question Answering Adam: A Method for Stochastic Optimization

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:14:18.865740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b71e7c54-5028-4fd5-bbaa-8da1eeaf17a7 · outbound

This paper cites A probabilistic interpretation of precision, recall and f-score, with implication for evaluation.

PathVQA: 30000+ Questions for Medical Visual Question Answering A probabilistic interpretation of precision, recall and f-score, with implication for evaluation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:19.050863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 600cec89-aecb-4db1-bfb4-cb237dd19110 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

PathVQA: 30000+ Questions for Medical Visual Question Answering Bleu: a method for automatic evaluation of machine translation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T05:14:19.062942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation f28ac98b-20ca-4db6-bfd4-736e264eacd4 · inbound

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day cites this paper.

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-24T08:34:11.746841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 11cc615d-d18d-492c-b4a6-6eaab8594069 · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 122

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:56:41.828809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1dd3ecde-71f4-4874-91aa-113a5b20a43b · inbound

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs cites this paper.

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-05-17T00:05:03.906455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c3b1dec3-33db-45ab-9e43-2308ea293ca0 · inbound

NVILA: Efficient Frontier Visual Language Models cites this paper.

NVILA: Efficient Frontier Visual Language Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-23T07:42:43.185714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4bf4431e-000a-445a-8ce5-748ec76f7c19 · inbound

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6ab55dc0-2301-4056-9588-7c2a120ea61c · inbound

FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding cites this paper.

FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-22T19:52:01.945846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d70cd1b0-2cc4-420e-b5c8-9ed729c5bde1 · inbound

Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis cites this paper.

Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T19:27:40.670196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e7ef5d-ac79-47f1-b74b-c499633eae39 · inbound

Benchmarking and Mitigating Sycophancy in Medical Vision Language Models cites this paper.

Benchmarking and Mitigating Sycophancy in Medical Vision Language Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-18T14:06:27.431341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 79467a6f-3cb6-4364-972d-36f3c51d8f53 · inbound

Benchmarking and Mitigating Sycophancy in Medical Vision Language Models cites this paper.

Benchmarking and Mitigating Sycophancy in Medical Vision Language Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-21T21:30:39.330244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fe1fcd50-5975-44ec-9956-bf1420ea2203 · inbound

Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks cites this paper.

Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-18T13:31:25.632974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f1b327d6-5871-4ac4-9aa0-e30dc4a36b28 · inbound

Auditing medical multi-agent AI reveals risks of false consensus cites this paper.

Auditing medical multi-agent AI reveals risks of false consensus PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T10:23:43.310982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52e4ec45-9ddc-4de4-8fbf-883ca87aec3b · inbound

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots cites this paper.

TeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:30:11.143351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4bf7b0cf-8ba5-4c9b-9c46-8bac1b7ed788 · inbound

FETAL-GAUGE: A Benchmark for Assessing Vision-Language Models in Fetal Ultrasound cites this paper.

FETAL-GAUGE: A Benchmark for Assessing Vision-Language Models in Fetal Ultrasound PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 10

Resolution: malformed identifier; local_arxiv, observed 2026-05-16T20:08:23.033507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 220de82d-f438-490a-a1d8-303a984804d3 · inbound

IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation cites this paper.

IBISAgent: Reinforcing Pixel-Level Visual Reasoning in MLLMs for Universal Biomedical Object Referring and Segmentation PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-16T17:33:10.106057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a499f5b9-985c-4a11-bc34-7135a6b5e3fe · inbound

M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding cites this paper.

M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T10:49:58.877395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99182e5f-d1ee-492b-a6fa-fae745b90a82 · inbound

Spectral Imbalance Causes Forgetting in Low-Rank Continual Adaptation cites this paper.

Spectral Imbalance Causes Forgetting in Low-Rank Continual Adaptation PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-03T06:04:26.490010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dba7088f-60a8-4e70-9516-80fddd929116 · inbound

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs cites this paper.

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-15T22:56:50.519816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d451fa84-79c5-4bf2-a66c-0fbdc436818a · inbound

MEDSYN: Benchmarking Multi-EviDence SYNthesis in Complex Clinical Cases for Multimodal Large Language Models cites this paper.

MEDSYN: Benchmarking Multi-EviDence SYNthesis in Complex Clinical Cases for Multimodal Large Language Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T19:36:32.794462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b16cd3c3-402d-4ab8-908c-30f3507e676b · inbound

BRIGHT: A Collaborative Generalist-Specialist Foundation Model for Breast Pathology cites this paper.

BRIGHT: A Collaborative Generalist-Specialist Foundation Model for Breast Pathology PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T19:14:16.407724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b88ebcfa-919b-4a5c-9355-47c137204eee · inbound

Better Eyes, Better Thoughts: Why Vision Chain-of-Thought Fails in Medicine cites this paper.

Better Eyes, Better Thoughts: Why Vision Chain-of-Thought Fails in Medicine PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T18:36:29.069512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b2953409-89db-4266-9b5b-495281fd75fd · inbound

Medical Image Spatial Grounding with Semantic Sampling cites this paper.

Medical Image Spatial Grounding with Semantic Sampling PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T21:05:40.877444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 038e36c5-d876-4ab3-be31-1771deed255f · inbound

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain cites this paper.

Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T17:47:52.109194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bbf501f-0440-4a3a-b85d-44aede8f240a · inbound

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

MedOpenClaw and MedFlowBench: Auditing Medical Agents in Full-Study Workflows PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c1d5bfd8-f58a-49df-a2a3-fd0107cd25fe · inbound

MEDIC-AD: Towards Medical Vision-Language Model's Clinical Intelligence cites this paper.

MEDIC-AD: Towards Medical Vision-Language Model's Clinical Intelligence PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T17:19:36.015996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a22af827-dd4d-4f6e-b3e1-7010c725410e · inbound

Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents cites this paper.

Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T19:59:59.030585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66156c4e-5443-4412-81bc-1e196fb335a3 · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T14:28:05.261852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c767ed27-98ab-48ed-a3a6-3b07cb8f0883 · inbound

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics cites this paper.

ScatterPrism: convergence for generative simulation and inverse problems in particle and nuclear physics PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-15T11:44:19.622453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12245691-5482-46d3-865b-1600b8ce7bd0 · inbound

Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment cites this paper.

Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 23ef1f6b-ba31-4ffc-802d-d7705a43a6ab · inbound

MMRareBench: A Rare-Disease Multimodal and Multi-Image Medical Benchmark cites this paper.

MMRareBench: A Rare-Disease Multimodal and Multi-Image Medical Benchmark PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 622dcd79-ca43-40f8-8b4a-84c38a8f683a · inbound

MMRareBench: A Rare-Disease Multimodal and Multi-Image Medical Benchmark cites this paper.

MMRareBench: A Rare-Disease Multimodal and Multi-Image Medical Benchmark PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 740c1bbd-4d8d-4567-8801-ba28442f7fee · inbound

Dialectic-Med: Mitigating Diagnostic Hallucinations via Counterfactual Adversarial Multi-Agent Debate cites this paper.

Dialectic-Med: Mitigating Diagnostic Hallucinations via Counterfactual Adversarial Multi-Agent Debate PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 36aa5c4e-e506-48ee-aedb-a63dd87365b1 · inbound

MAny: Merge Anything for Multimodal Continual Instruction Tuning cites this paper.

MAny: Merge Anything for Multimodal Continual Instruction Tuning PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 85cbabfc-95cd-4a60-bff0-409f81611f14 · inbound

Beyond a Single Frame: Multi-Frame Spatially Grounded Reasoning Across Volumetric MRI cites this paper.

Beyond a Single Frame: Multi-Frame Spatially Grounded Reasoning Across Volumetric MRI PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f83b23ac-03a4-4577-b397-e4a723940a74 · inbound

Bias-constrained multimodal intelligence for equitable and reliable clinical AI cites this paper.

Bias-constrained multimodal intelligence for equitable and reliable clinical AI PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 729815e6-cd50-40e6-9a94-cb69f7393808 · inbound

KIRA: Knowledge-Intensive Image Retrieval and Reasoning Architecture for Specialized Visual Domains cites this paper.

KIRA: Knowledge-Intensive Image Retrieval and Reasoning Architecture for Specialized Visual Domains PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation eb128aee-240b-4166-9ba0-37ca5e67f879 · inbound

Dual Causal Inference: Integrating Backdoor Adjustment and Instrumental Variable Learning for Medical VQA cites this paper.

Dual Causal Inference: Integrating Backdoor Adjustment and Instrumental Variable Learning for Medical VQA PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e6dc4455-b0a6-4a09-9765-e766f2271df1 · inbound

Thinking Like a Botanist: Challenging Multimodal Language Models with Intent-Driven Chain-of-Inquiry cites this paper.

Thinking Like a Botanist: Challenging Multimodal Language Models with Intent-Driven Chain-of-Inquiry PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b2704766-b6c3-43db-88f3-5ac0fbda17ef · inbound

Learning from Medical Entity Trees: An Entity-Centric Medical Data Engineering Framework for MLLMs cites this paper.

Learning from Medical Entity Trees: An Entity-Centric Medical Data Engineering Framework for MLLMs PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b3d28b8d-faa9-4854-b6bd-9a24fc52c2f8 · inbound

MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution cites this paper.

MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ef2bbb1b-d150-49ff-bf2c-799b604afab0 · inbound

MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution cites this paper.

MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T00:53:53.444643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ef134be4-ddc8-4b5b-980e-2902695e99e7 · inbound

MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution cites this paper.

MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T09:15:44.138550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 797a34d0-a2ba-4712-a054-c297caa88339 · inbound

MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution cites this paper.

MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T01:39:24.098403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 57e6ae16-12b5-4d8c-ad2f-1b7d8757560e · inbound

DALPHIN: Benchmarking Digital Pathology AI Copilots Against Pathologists on an Open Multicentric Dataset cites this paper.

DALPHIN: Benchmarking Digital Pathology AI Copilots Against Pathologists on an Open Multicentric Dataset PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c2e9f452-29e4-45db-ac02-8a04bc026d38 · inbound

Improving Medical VQA through Trajectory-Aware Process Supervision cites this paper.

Improving Medical VQA through Trajectory-Aware Process Supervision PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 543e38fc-081e-4c2f-a5b0-7f7f340208f8 · inbound

LiteMedCoT-VL: Parameter-Efficient Adaptation for Medical Visual Question Answering cites this paper.

LiteMedCoT-VL: Parameter-Efficient Adaptation for Medical Visual Question Answering PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1b63c32e-053f-40b7-91ec-f61879d7a0c0 · inbound

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology cites this paper.

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b70065f2-4058-4bd9-a1f8-a32c91e48d45 · inbound

Verification Mirage: Mapping the Reliability Boundary of Self-Verification in Medical VQA cites this paper.

Verification Mirage: Mapping the Reliability Boundary of Self-Verification in Medical VQA PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9e92ae64-cf0c-4bab-b827-08c6ec5e2471 · inbound

Learn to Think: Improving Multimodal Reasoning through Vision-Aware Self-Improvement Training cites this paper.

Learn to Think: Improving Multimodal Reasoning through Vision-Aware Self-Improvement Training PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:14:19.084463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 051e62ec-3740-4fb6-8aa6-9e0aea2cf1f8 · inbound

MI-CXR: A Benchmark for Longitudinal Reasoning over Multi-Interval Chest X-rays cites this paper.

MI-CXR: A Benchmark for Longitudinal Reasoning over Multi-Interval Chest X-rays PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T19:58:59.144881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation acac8d35-6027-4915-bcbd-f8e1cc4d4301 · inbound

BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks cites this paper.

BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 103

Resolution: verified exact; local_arxiv, observed 2026-05-19T19:32:43.749898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3547e573-b1c1-4588-ba80-6cdc63e13a97 · inbound

How Good LLMs Are at Answering Bangla Medical Visual Questions? Dataset and Benchmarking cites this paper.

How Good LLMs Are at Answering Bangla Medical Visual Questions? Dataset and Benchmarking PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 48

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T11:03:13.833321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9f094cc6-757d-476d-8960-238b84d3c3f2 · inbound

Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering cites this paper.

Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T11:48:15.173289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 21aec47d-c0d6-4133-ba65-df5ac474f6f2 · inbound

Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models cites this paper.

Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-20T05:38:05.038203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d5a99bf7-6aa0-4435-9e8c-e1a6c8f36514 · inbound

NeuroQA: A Large-Scale Image-Grounded Benchmark for 3D Brain MRI Understanding cites this paper.

NeuroQA: A Large-Scale Image-Grounded Benchmark for 3D Brain MRI Understanding PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-21T06:59:45.797893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d33d3a58-9d7f-439d-b50e-a4269bcf26cd · inbound

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation cites this paper.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-22T07:51:16.357878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 680068f1-928e-454f-bb85-153f6faf5f38 · inbound

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation cites this paper.

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-06-30T17:34:57.808981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5a23c4ba-530b-45aa-9193-54dc3343e75f · inbound

PathNavigate: A Training-Free Pathology Agent with Surprise-Guided Scan and Shared Slide Memory for Whole-Slide Image VQA cites this paper.

PathNavigate: A Training-Free Pathology Agent with Surprise-Guided Scan and Shared Slide Memory for Whole-Slide Image VQA PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-25T05:06:38.343889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dcb55d9c-6164-4ce4-84c4-2b3a89fb5056 · inbound

DDX-TRACE: A Benchmark for Medical Diagnostic Trajectories in VLMs cites this paper.

DDX-TRACE: A Benchmark for Medical Diagnostic Trajectories in VLMs PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-25T04:55:23.436342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fd2b5a9b-4845-4579-bf6e-ccdd5510ffd2 · inbound

Ask4VG: Risk-Aware Question Selection for Reducing Prior-Driven Answers in Medical VQA cites this paper.

Ask4VG: Risk-Aware Question Selection for Reducing Prior-Driven Answers in Medical VQA PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T17:22:24.362571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fa211428-2eeb-4057-8a99-65e59c854822 · inbound

AutoMedBench: Towards Medical AutoResearch with Agentic AI Models cites this paper.

AutoMedBench: Towards Medical AutoResearch with Agentic AI Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T23:06:21.157019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 75becfdb-f2c8-473d-87d8-4130b124a87c · inbound

Automated Report-Derived Oncology VQA Benchmark for Evaluating Vision-Language Models on 3D Medical Imaging cites this paper.

Automated Report-Derived Oncology VQA Benchmark for Evaluating Vision-Language Models on 3D Medical Imaging PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:46:19.131620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 314450c9-70e0-4372-b420-5d91c800c682 · inbound

MMBU: A Massive Multi-modal Biomedical Understanding Benchmark to Probe the Perception Capabilities of Vision-Language Models cites this paper.

MMBU: A Massive Multi-modal Biomedical Understanding Benchmark to Probe the Perception Capabilities of Vision-Language Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-02T12:56:57.616097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bd50815b-18fd-4e7d-a24a-c573f4354637 · inbound

MedSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language Models cites this paper.

MedSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-02T13:16:58.495067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 42af945c-c678-4010-a01a-42f0d0493915 · 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 PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-06-30T19:15:01.451589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 13e66ddb-63db-4cd2-a031-2079d0908174 · inbound

MedCTA: A Benchmark for Clinical Tool Agents cites this paper.

MedCTA: A Benchmark for Clinical Tool Agents PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-03T09:07:48.048855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ad1ccd70-c0e1-4abf-9b6a-324cd212a304 · inbound

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA cites this paper.

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 251

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T09:37:49.452160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 881ea2d7-9d0c-4c24-a571-0917ae94d62a · inbound

Enhancing Pathological VLMs with Cross-scale Reasoning cites this paper.

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

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T19:08:49.951813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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

Enhancing Pathological VLMs with Cross-scale Reasoning cites this paper.

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

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T11:07:06.482728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2e87f41-f068-434e-b5df-4a9d8c10bd3e · inbound

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients cites this paper.

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 114

Resolution: verified exact; local_arxiv, observed 2026-07-03T20:48:56.103172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 67eb4dee-b6b4-4bd3-8650-ceb6b6e1e323 · inbound

Evaluation of Medical Vision Language Models HuluMed and MedGemma, and general purpose chatbots Gemma 3, ChatGPT Plus, and Claude Pro on real previously unseen wound images cites this paper.

Evaluation of Medical Vision Language Models HuluMed and MedGemma, and general purpose chatbots Gemma 3, ChatGPT Plus, and Claude Pro on real previously unseen wound images PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-03T21:18:59.466566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ef0f8d17-4071-45e0-95b8-0f8ad2a330aa · inbound

Evaluation of Medical Vision Language Models HuluMed and MedGemma, and general purpose chatbots Gemma 3, ChatGPT Plus, and Claude Pro on real previously unseen wound images cites this paper.

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T13:30:26.488826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee983b80-68bf-48a9-969e-88554c74521a · inbound

MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models cites this paper.

MEDLAYXPLAIN: Benchmarking the Expert-Lay Gap in Medical Vision-Language Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-04T06:29:37.746426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d111f5af-dda7-4eb1-b547-0a24562618eb · inbound

A Benchmark for Hallucination Detection in VLMs for Gastrointestinal Endoscopy cites this paper.

A Benchmark for Hallucination Detection in VLMs for Gastrointestinal Endoscopy PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T15:09:54.210162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 058ad279-f4a5-4c05-aa95-a4cf2092a847 · inbound

Multilingual Hematology Visual Question Answering Dataset cites this paper.

Multilingual Hematology Visual Question Answering Dataset PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T19:40:06.818345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0d1fb327-1a73-471c-9ceb-35d8ab9fe2a4 · inbound

Teach-to-Reason: Competition-Guided Reasoning with a Self-Improving Teacher cites this paper.

Teach-to-Reason: Competition-Guided Reasoning with a Self-Improving Teacher PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-04T19:50:10.702108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 707ba9a1-f5ff-4813-ae45-436b4c90e12f · inbound

Aloe-Vision: Robust Vision-Language Models for Healthcare cites this paper.

Aloe-Vision: Robust Vision-Language Models for Healthcare PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:25:57.958979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e5814772-7e69-4707-a8ca-21105903ce07 · inbound

$M^3 QuestionIng$: Multi-modal Multi-span Medical Question Answering cites this paper.

$M^3 QuestionIng$: Multi-modal Multi-span Medical Question Answering PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-06-30T18:15:00.017323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c46c8b9f-4d66-4727-ba2d-a6f8e8ca38ba · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 96

Resolution: verified exact; local_arxiv, observed 2026-07-01T15:45:47.583252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4ffc4dcf-9c0c-454b-add9-9872b245103d · inbound

DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.

DataComp-VLM: Improved Open Datasets for Vision-Language Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 96

Resolution: verified exact; local_arxiv, observed 2026-07-02T21:17:23.952660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 824fd2e2-1683-42d6-adde-5aedf727ba5a · inbound

Token-Sparse Medical Multimodal Reasoning via Dual-Stream Reinforcement Learning cites this paper.

Token-Sparse Medical Multimodal Reasoning via Dual-Stream Reinforcement Learning PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T10:15:45.224531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b348e685-b8c0-4865-a996-3cb6d45427e0 · inbound

StochasT: Learning with Stochastic Turn Depth for Visual Instruction Tuning cites this paper.

StochasT: Learning with Stochastic Turn Depth for Visual Instruction Tuning PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T15:07:03.928082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8e8c43e7-d7f9-4e25-bc4e-7d50be24f91a · inbound

Do Medical Vision Language Models Actually See? A Counterfactual Grounding Framework and Hard-Negative Contrastive Training for Visually-Reliant Medical VLMs cites this paper.

Do Medical Vision Language Models Actually See? A Counterfactual Grounding Framework and Hard-Negative Contrastive Training for Visually-Reliant Medical VLMs PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T00:57:35.205227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bead4a3-2495-45f3-957b-ca6c96fd399c · inbound

Does AI Understand Imaging? A Systematic Benchmark of Agentic AI for Computational Imaging Tasks cites this paper.

Does AI Understand Imaging? A Systematic Benchmark of Agentic AI for Computational Imaging Tasks PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-09T18:06:25.889163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 37eeb7df-22d0-4a69-b347-f3716c88d21b · inbound

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning cites this paper.

Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 60

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T18:57:31.569604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2e82771a-fc71-450c-af1e-d4ff225e5a1b · inbound

DentiAsk: A VQA Benchmark for Multimodal Reasoning in Panoramic Dental Radiographs cites this paper.

DentiAsk: A VQA Benchmark for Multimodal Reasoning in Panoramic Dental Radiographs PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-13T07:15:40.242481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcef58ba-a47b-4502-96a2-c0c3ba4fa697 · inbound

Capabilities of Claude Fable 5 on Biomedical Challenge Problems cites this paper.

Capabilities of Claude Fable 5 on Biomedical Challenge Problems PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T08:49:20.882589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbe46b26-c746-423c-be33-85364208f14e · 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 PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 88

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d86f0d9-a5c4-4074-ac96-ece0213df90a · inbound

Measuring and Improving Complex-Atomic Answer Consistency in Endoscopic VQA cites this paper.

Measuring and Improving Complex-Atomic Answer Consistency in Endoscopic VQA PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T16:57:30.901279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c55c5b42-1470-44e7-aef4-aa662af06a8e · inbound

SiGMA: Sign-Guided Merging and Adaptation for Multimodal Continual Instruction Tuning cites this paper.

SiGMA: Sign-Guided Merging and Adaptation for Multimodal Continual Instruction Tuning PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T08:43:23.625663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 526cfb28-acf4-4496-be96-80f0237bd47f · inbound

Do Pathology Vision-Language Models Truly See Pathology? cites this paper.

Do Pathology Vision-Language Models Truly See Pathology? PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-01T08:37:04.128874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e53ec04e-0b0f-4e2c-b086-f5a705b2a755 · inbound

MoE$^2$-LoRA: When MoE Models Meet MoE-style Low-Rank Adaptation cites this paper.

MoE$^2$-LoRA: When MoE Models Meet MoE-style Low-Rank Adaptation PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-01T06:18:16.277332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24ecb32c-0f36-47cb-9af3-bf7ed073d0a3 · inbound

Medical-Checklist: Assessing the Comprehension of Medical Images by Multimodal Models cites this paper.

Medical-Checklist: Assessing the Comprehension of Medical Images by Multimodal Models PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T06:09:22.154591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41b12278-34d2-4e3a-b82e-30b4186077d3 · inbound

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

PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-30T12:15:45.205031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70e602fb-dcb8-4b47-be6d-a5cb04649135 · inbound

Are Prompt Optimizers Blind? Cross-Modal Visual Feedback for Automatic Prompt Optimization cites this paper.

Are Prompt Optimizers Blind? Cross-Modal Visual Feedback for Automatic Prompt Optimization PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-31T17:23:08.076479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d2f4fff-9549-4fa7-abeb-ca25bc58bdc8 · inbound

Agentic AI in medicine: architectures, applications, evaluation, and challenges for clinical translation cites this paper.

Agentic AI in medicine: architectures, applications, evaluation, and challenges for clinical translation PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T02:19:04.266565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71109833-9aee-4b55-b8da-f14d340b2414 · inbound

Progressive Multimodal Alignment for Continual Instruction Tuning cites this paper.

Progressive Multimodal Alignment for Continual Instruction Tuning PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-30T16:11:48.482344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8418a66f-4a6d-42e5-8e08-be230ef9d5a2 · inbound

Progressive Multimodal Alignment for Continual Instruction Tuning cites this paper.

Progressive Multimodal Alignment for Continual Instruction Tuning PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T01:24:01.071055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b64408ca-6a53-4096-903f-6a5e2f959aa3 · inbound

Inference-Time Agentic Decision Rules Beat Longer Evolving Search for Multi-Image Medical Reasoning cites this paper.

Inference-Time Agentic Decision Rules Beat Longer Evolving Search for Multi-Image Medical Reasoning PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T05:38:56.015480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b9a3859-cb68-40c5-af3d-3e97addd96f6 · inbound

Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA cites this paper.

Objective-Aligned Direct Answer SFT for Robust Multi-Frame Medical VQA PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T05:36:45.624752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71f95353-f26d-48b5-98a9-de1641813d1e · inbound

LoMeVQA: A Comprehensive Benchmark for Longitudinal Medical VQA cites this paper.

LoMeVQA: A Comprehensive Benchmark for Longitudinal Medical VQA PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-31T01:35:49.331348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.