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Paper Citation Record · LEDGER

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports

As of 14 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2505.16624.

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

pith.paper-citation-record.v1
2505.16624 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:01:43.542600Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:19:35.612960Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy41
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b1c05cb8-d698-421a-a036-9aa356a53a13 · outbound

This paper cites METEOR: An automatic metric for MT evaluation with improved correlation with human judgments.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports METEOR: An automatic metric for MT evaluation with improved correlation with human judgments

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:51.376145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:38.994231Z digest=sha256:b7fd9d1b8faa023df83b1513434cb7f61f188c7c8719f562ae6f1cd8bdb5c703

Observation 7d5ce24e-0be5-4ccb-b677-70c13ad3e420 · outbound

This paper cites Current status of burnout in Canadian radiology.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Current status of burnout in Canadian radiology

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:51.175623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:39.063372Z digest=sha256:60f2df74d2fbb7014d8617db049b9263052ef3210db32b56cff607dfd6f3b79d

Observation 3d0ea5fa-91cd-428f-8f40-3622c1449513 · outbound

This paper cites A national review of radiol- ogy reporting within the NHS in England.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports A national review of radiol- ogy reporting within the NHS in England

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:51.022027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:39.162001Z digest=sha256:e3952587d6354ed01463931bfdb7f865f6e26f44808e09cc6753eb03cb730c2c

Observation a8dfa85f-25c8-4212-adfd-a0236d46e0f7 · outbound

This paper cites Pretraining Vision- Language Model for Difference Visual Question An- swering in Longitudinal Chest X-rays.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Pretraining Vision- Language Model for Difference Visual Question An- swering in Longitudinal Chest X-rays

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:50.848822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:39.215689Z digest=sha256:b985eaef3bb7567784c4663e90c1da92e0c1c3c474350dc28d98a13ea88e7e57

Observation 27808ac9-6271-4428-986b-afdce3e9d164 · outbound

This paper cites Control- lable Chest X-Ray Report Generation from Longitudi- nal Representations.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Control- lable Chest X-Ray Report Generation from Longitudi- nal Representations

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:50.657224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:39.311452Z digest=sha256:4a12fc3c62c6b03f1af1d1ca615c2cc778499d799da13d2df1ffd23d9f14f965

Observation 3c22aa15-1294-4348-8c1e-3259f700383a · outbound

This paper cites Finding- Aware Anatomical Tokens for Chest X-Ray Automated Reporting.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Finding- Aware Anatomical Tokens for Chest X-Ray Automated Reporting

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:50.396539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:39.426755Z digest=sha256:1241dc197befafc395a8091197938ad73f4b99f40f35f7d25d6b0e7ae7b6c1d0

Observation f8f831dc-e919-4713-86a7-1b68573533b6 · outbound

This paper cites Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Ra- diology Report Summarization.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Ra- diology Report Summarization

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:50.204046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:39.509181Z digest=sha256:76f0121ffdf7317e38d6d6816f2cac4f64d230ec5d2d5aab19d577a28751470b

Observation 0ca0f596-c49f-44ab-9e38-857326814426 · outbound

This paper cites Multiple meta-model quantifying for medical visual question answering.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Multiple meta-model quantifying for medical visual question answering

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:50.032519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:39.574342Z digest=sha256:3752be63f8043956ac53c3b673289c4afd3baa3d205f63fc71b1a94cff1698e6

Observation 9d6b6e47-20e6-41d8-b2a5-082217b1e6ca · outbound

This paper cites PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:49.807352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:39.721753Z digest=sha256:6c85bfdf4eb5a189c845d959a1a0446d5c84fbd17df9e9dc12c41173c1f8fa25

Observation f71a32ca-53f0-4d74-979f-d7897b0233ae · outbound

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

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:49.582101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:39.813118Z digest=sha256:be2b613eee531b603c3484ad9f87458cbe43606997416e207ff7c7c18ba7c654

Observation 0a924ed2-44a6-46ae-b3a0-2f61c3aac4d8 · outbound

This paper cites Medical-Diff-VQA: A Large-Scale Medical Dataset for Difference Visual Question An- swering on Chest X-Ray Images.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Medical-Diff-VQA: A Large-Scale Medical Dataset for Difference Visual Question An- swering on Chest X-Ray Images

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:49.362512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:39.895730Z digest=sha256:a300567f8db10dfce782305edb37d03b4839e260fc4538abbe7d79f9c90cf1ed

Observation b7c5e936-a31b-444e-8fd4-fccc03558835 · outbound

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

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Medical-Diff-VQA: A Large-Scale Medical Dataset for Difference Visual Question Answering on Chest X-Ray Images

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:49.181354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:39.986965Z digest=sha256:d82f526f4458d82ffda86c82ee8eaf5f8939db2bb00a9694f895e458524871bf

Observation f6cbe1cf-f733-41a4-a5b9-057acacbbf1c · outbound

This paper cites Expert knowledge-aware image difference graph representation learning for difference-aware medical visual question answering.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Expert knowledge-aware image difference graph representation learning for difference-aware medical visual question answering

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:49.045696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:40.094019Z digest=sha256:c6ac7bc39dda7af1427620069ec5de22e2b236dafcc23d3e61a0766f2ddd6d79

Observation dd761f55-aa8f-4d08-af9e-3eec9888eaf3 · outbound

This paper cites OVQA: A clinically generated visual question answering dataset.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports OVQA: A clinically generated visual question answering dataset

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:48.868598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:40.190772Z digest=sha256:26bf1fae69abba4c0710bfcb287d9ce002c74d7a0f08448e817c4e0dd703c5ab

Observation c25b6742-12fe-4f80-b553-74ecbbfec1eb · outbound

This paper cites MIMIC- CXR, a de-identified publicly available database of chest radiographs with free-text reports.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports MIMIC- CXR, a de-identified publicly available database of chest radiographs with free-text reports

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:48.710290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:40.281341Z digest=sha256:17514bbb37553ca673cd2e670f5f2c3dc4ff0abf49d1eed8196323563b1cd179

Observation f32314f5-affe-440b-acd6-98d873296984 · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:40.389406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:40.389406Z digest=sha256:75f2b575d7e95733b528ffa8f05937fb438b051fb39776fe45675b3b97168378

Observation 484a749c-f913-42af-b9f2-c120e5d86023 · outbound

This paper cites MMBERT: Mul- timodal BERT Pretraining for Improved Medical VQA.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports MMBERT: Mul- timodal BERT Pretraining for Improved Medical VQA

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:48.528029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:40.449966Z digest=sha256:addf8036a104a69b750a957b83386e5a74e2543a524470bb183749dfed7bad96

Observation b46e70cb-7cb0-4ef2-a2ed-c6736c032ee3 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Adam: A Method for Stochastic Optimization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:40.531008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:40.531008Z digest=sha256:7143794a58b3dcb6ea3213c1d21f3aabedb123be30c0538063489428e0f4c7ac

Observation 80f19cd5-186f-4daf-9780-394e2ea0a806 · outbound

This paper cites Large language models are zero-shot reasoners.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Large language models are zero-shot reasoners

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:48.381711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:40.590934Z digest=sha256:21085ff07b47017a05ea6ea0dbb337797d6935a1c92cfc15bde0f18494a4af67

Observation 47767020-0466-4920-a995-c70797b2b7e4 · outbound

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

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports A dataset of clinically generated visual questions and answers about radiology images

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:48.217500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:40.701828Z digest=sha256:5e9d9506838035c324ccb1eb3fa1fc434148efc6f676f760eeec82624c7596f6

Observation b4d37096-803f-4644-b7b8-65779f5e5bd3 · outbound

This paper cites Rouge: A package for automatic eval- uation of summaries.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Rouge: A package for automatic eval- uation of summaries

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:47.987590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:40.758148Z digest=sha256:0512c088e0eaa485fdbdc2d04335e7e2c8bcd3d01321d5b99361a827a823cfd4

Observation e2efca67-0c5e-4b27-986f-54dba8b289ba · outbound

This paper cites Medical visual question answering: A survey.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Medical visual question answering: A survey

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:47.847073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:40.832011Z digest=sha256:ac85f27c6589cf6f46f6140b808ecd011c78835af31b438c6c1c69202bf93efc

Observation 363c082b-00d6-47d8-bb51-9d1ef33a0cd3 · outbound

This paper cites SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Ques- tion Answering.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Ques- tion Answering

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:47.728537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:40.912369Z digest=sha256:bac0ced751ced51da5fbd606f6b075c3ed58c774146c36679d881ba7e45a5ce9

Observation 888ef109-14b2-4abf-9e8f-cda701c611a3 · outbound

This paper cites ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:47.547776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:40.966475Z digest=sha256:0b56116ad889234e4f19c6eb2d2a8cf24ba69a3458cc429c7bf8652e543acdab

Observation 4217a635-8464-416c-bbee-19632c904b8c · outbound

This paper cites Over- coming data limitation in medical visual question an- swering.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Over- coming data limitation in medical visual question an- swering

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:47.367600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:41.228638Z digest=sha256:58d0c5816537e9e1eb97d20b4e437c01a7cf073867fce760f5a380c3ab7133a3

Observation 29dc4390-ea4e-4627-8370-a79f90132adc · outbound

This paper cites GPT-4 Technical Report.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports GPT-4 Technical Report

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:41.279825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:41.279825Z digest=sha256:da500622d5ebe88ec0b3ff3f575d734e7e42cebc98c89fb289e7254eb54c67ab

Observation 5923b8b2-f956-4e6c-9256-7a32a784a64b · outbound

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

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Bleu: a method for automatic evaluation of machine translation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:47.248437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:41.348785Z digest=sha256:ea2816fedb23379ec5db79651aa2f5d29e63fb42f361d9a5f15ffb1e41973dda

Observation ea71c426-0117-4d5d-af1c-446c212782b4 · outbound

This paper cites Describing and Localizing Multiple Changes With Transformers.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Describing and Localizing Multiple Changes With Transformers

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:47.075811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:41.438124Z digest=sha256:c01a314c2acf1a8b84f9621522d370c9d30e976b8bd7e6f341c0effc9a38e017

Observation 7196e968-5b72-480b-8626-7cda7c4211b1 · outbound

This paper cites Language models are unsupervised multitask learners.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Language models are unsupervised multitask learners

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:46.875749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:41.540638Z digest=sha256:b7b18570c0ed63bc1587253f7dcaa960469fc7b33f43a8353276c0cbf534d952

Observation 652b18b7-3aa2-4153-b529-db9e9352206d · outbound

This paper cites CGMVQA: A New Classification and Generative Model for Medical Visual Question An- swering.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports CGMVQA: A New Classification and Generative Model for Medical Visual Question An- swering

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:46.689955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:41.641976Z digest=sha256:d07f9b0819d81d7c83718fd47c03d53e85abfc39906550198bd7134b4706b5dc

Observation 7a3cf79e-6952-4185-918d-f21103a708f7 · outbound

This paper cites Faster R-CNN: Towards real-time object detec- tion with region proposal networks.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Faster R-CNN: Towards real-time object detec- tion with region proposal networks

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:46.493759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:41.793699Z digest=sha256:16a1c844c146d102c1ff3244b478b3b1f7404aa65b7425d63bbb941a718ed42e

Observation 86f0199a-d9da-4543-aee2-f39b19383cb7 · outbound

This paper cites Radiologist shortage leaves patient care at risk, warns royal college.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Radiologist shortage leaves patient care at risk, warns royal college

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:46.307565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:41.949114Z digest=sha256:82472e16a29e51631fb116f6b4d17832dba827c5bb50bef714a70fcef5c6f917

Observation d928aa56-4965-4db8-82b7-58be2f099bf6 · outbound

This paper cites MedFuseNet: An attention-based multimodal deep learning model for visual question answering in the medical domain.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports MedFuseNet: An attention-based multimodal deep learning model for visual question answering in the medical domain

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:46.122190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:42.098261Z digest=sha256:303cea5c3a1f508600d812848815dc45a527a6d902425b1092cb44462b0c4a72

Observation 994a0032-7d5e-4312-ae6c-cefe8c840385 · outbound

This paper cites Rising use of diagnostic medical imaging in a large integrated health system.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Rising use of diagnostic medical imaging in a large integrated health system

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:45.956359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:42.221703Z digest=sha256:a25887ef633b2100ccd08b7bf8a5509dd20eac99050d116f288bf460d704c549

Observation cd42ee3d-25cd-4101-9916-aa3d94f4c5e3 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports LLaMA: Open and Efficient Foundation Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:42.325145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:42.325145Z digest=sha256:590d0ed9500039af89f04ea177d20411438636513763b48d41ebab5cdebd6edf

Observation cd6fa73a-001c-4783-9083-ca5a5fef56df · outbound

This paper cites Open-ended medical visual question answering through prefix tuning of language models.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Open-ended medical visual question answering through prefix tuning of language models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:45.745299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:42.537082Z digest=sha256:374e2946bb59b4ab213976a6f11bf9e7976dbf0287f602c98cbe6b88b21bc1cc

Observation a326197c-d91d-4964-b72a-d290e2d85d38 · outbound

This paper cites Attention is all you need.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Attention is all you need

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:45.456094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:42.664195Z digest=sha256:01752ecd4f3f7898ae98f5b5c56debc1961dd177811bcb50134ed141b1be0f37

Observation b0b3ff96-1cbb-4a11-93e2-fc1626f2ac0f · outbound

This paper cites Cider: Consensus-based image description evaluation.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Cider: Consensus-based image description evaluation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:45.265006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:42.782997Z digest=sha256:57430a7f0e8dffffecd2762e35db8e0b768bf921bd0eb70b78313dd1f71afd40

Observation cbd4d8df-f7ff-40a4-8f64-d01290ebcb41 · outbound

This paper cites Ofa: Unifying architectures, tasks, and modalities through a simple sequence-to- sequence learning framework.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Ofa: Unifying architectures, tasks, and modalities through a simple sequence-to- sequence learning framework

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:45.117798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:42.843704Z digest=sha256:0903b2adb27c261b76103cb95b49d222803e1430a1a574e189d0e4edec6c8732

Observation d98ea98d-a37e-419a-b2c0-f3758c5f9a01 · outbound

This paper cites ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:42.962894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:42.962894Z digest=sha256:0b0075149a7a1b209ac42c4f7d6d4d3cb47d86ac93d6518c415917f7d77f7acb

Observation 9a0e9b9b-0225-4e85-98e1-62a210926e04 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:44.912903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:43.064662Z digest=sha256:25160a2ca316c95b2c75c0080acaa66d95612c4478933c314ec2da489e2ca114

Observation 9ccaf22e-37fe-4134-baa4-dae82b0789ab · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Chain-of-thought prompting elicits reasoning in large language models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:43.101303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:43.101303Z digest=sha256:17db5973750752a4d0497298c66bf5590100208d6e635b32ae2c766200aea155

Observation 5f91737f-ef3a-49db-bd2d-e3111f0d336b · outbound

This paper cites Chest ImaGenome Dataset for Clinical Reasoning.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Chest ImaGenome Dataset for Clinical Reasoning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:44.716697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:43.161776Z digest=sha256:f57031002c9a6260680446d0c67e57ea7c8432bb3b4a82609fd281c09647fb41

Observation fb9e3fa6-a374-476c-9bb9-d1306a141dd2 · outbound

This paper cites Image dif- ference captioning with pre-training and contrastive learning.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Image dif- ference captioning with pre-training and contrastive learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:44.524463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:43.203018Z digest=sha256:d3a068a1de857d00846fd8dd190688dcd6aa4205416266ced63deaf3f0c60058

Observation 5ee2995a-629e-4ed6-8638-881851971ab4 · outbound

This paper cites Hetero- geneity and predictors of the effects of AI assistance on radiologists.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Hetero- geneity and predictors of the effects of AI assistance on radiologists

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:44.353887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:43.266339Z digest=sha256:bfb765da7b532322b83e456791c4c6690894c9bf6c017d7c0d2a99342853483b

Observation ec2b8feb-4c04-41cc-b7eb-378cc9a7895f · outbound

This paper cites PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:43.370347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:43.370347Z digest=sha256:3aaf724ce2cb4629d9dc45b31c05b3d3d7a503bff64e25398a6fc34a12d57c71

Observation ff0abc4d-4530-40d0-8afe-7b123de612c5 · outbound

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

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Multimodal Chain- of-Thought Reasoning in Language Models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:44.114054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:43.444905Z digest=sha256:3c4f7035cbaa382ca8c852a519cdc22ac3348f689958a1071b54bd86505e19ef

Observation 0ba08074-5259-4e2e-91be-ee367b7d82d2 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:01:43.906492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T15:01:43.542600Z digest=sha256:b5e158af7b2e353cc7b5d38c7788843f3a5826f4ec6867407c7e913509908396

Pith citing papers

Observation 4abba649-4269-4c5c-a3db-e21e430f8df2 · inbound

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

MEDIC-AD: Towards Medical Vision-Language Model's Clinical Intelligence Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-02T17:19:35.612960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:19:35.612960Z digest=sha256:fd69e60cc807b09c383799c6e0c41992480c63d1c0dfe6d9a6f83909a7867d31