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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:38.994231Z digest=sha256:9ff4ba9cc4a55cc9a819d3d47f58cfe4736ee5d3eb51482123a6dc51df64e560

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:39.063372Z digest=sha256:b29225c7c21361b87b9b138c6bafb434b1b2d031fc28fb119377aae32d89527b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:39.162001Z digest=sha256:123ff43869b25095c37f9914c7489cdc09bd145ad27bf731cebbec1a2d9ac86d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:39.215689Z digest=sha256:fd77739e362dd02bd3903d5fb61de78ad64fe076f3c70cb1ee1e87d8cf4cda21

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:39.311452Z digest=sha256:d19914073027db73aae458af1efffe32d0cdac5abad7436535e3f46b9689a956

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:39.426755Z digest=sha256:28bf777b37330eedd83c065a5757c40331b3d72771e7dce5b42ca4a880be4b10

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:39.509181Z digest=sha256:c20c9718c21e09e4352a50bb3ee5c488f5787f09461d23f2721572e9a9c418f9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:39.574342Z digest=sha256:f4b4f8cf75ff303edad1e08b15bd183038fd2839ee9d560b847027c80f9fc1b5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:39.721753Z digest=sha256:9c8c5a3d9261e26dabead326e2be93673e3e0803c132b869f2c34ea387a0bc1a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:39.813118Z digest=sha256:e9d73275d0afc608b3b178547fdbeb8e12d68f83442894258d2128de09494fc9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:39.895730Z digest=sha256:e72815b9da2352c5c79340537073427cd046880a2d919d24e14cb5f943bb19ab

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:39.986965Z digest=sha256:c3f1d1ed1b652a60c9390d9f504fa94fe1c548cce48e238fb76ba93d7601ff7b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:40.094019Z digest=sha256:c06e0437784e1e7d4d45f353bcccdc3396ddc866105e5c8b4a534c53b2bb1850

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:40.190772Z digest=sha256:254c605defdd7649b3715579acbd820e81ba7ed2b8b82480a7f31d0fc18b88f3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:40.281341Z digest=sha256:f9f3812623fb4a016e40baa6a07621019403764bc8d159ec92085b6f9f24fd8b

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=sha256:6d20c29bbd759435b4d135c0578cab890f18aaad38e367c3f7ee4933529abc00

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:40.449966Z digest=sha256:68908cef776b8fe4372ead4f743f959dc9e6b0e51ae61a564e06d89b6246eb12

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=sha256:1d23d81a2b324f90e7642191e2e09fdc4f4bcf617a9141e6dd2640f32714ec66

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:40.590934Z digest=sha256:d5357a78dbab5358f91acdf42fd604eb7aff9303264aace37de208cdd7229063

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:40.701828Z digest=sha256:06d3c979f3d78e1f4f92fbf97214e6e41f6441763396426a3239fd6409660fb7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:40.758148Z digest=sha256:7918c93809a7c18ef69d1515983de1d8dc333eb4c74eec222f09df3d9307ccbf

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:40.832011Z digest=sha256:f93048019d8f59aa875c0616c50d24e6f07b92a5b33e61b8f90fe20611dc9774

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:40.912369Z digest=sha256:8802bb7a78a44f3ef191c851a511a07ed19f5d9a8537ef1776d358b644fd8343

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:40.966475Z digest=sha256:7deed5293e838f39f10a4540d95804578e44777a62fc77cac491e8afa9d20d34

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:41.228638Z digest=sha256:8b7f81a8a8f8ff9267fa1f5e560454792ae2e6fcedbe2d3641bc6842ac390694

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:ba60507e948acc5eea3e6334766105e60c79ae294c2394fc8f857ed613c89cda

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:41.348785Z digest=sha256:58f627db669d2fee5f4f29cba3d2b86a409886d6f01d49b017117b3bd0d0faad

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:41.438124Z digest=sha256:fdad189c916476149a4ccbb8c658e541fd6fdcac959a69f34de0ef36def96268

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:41.540638Z digest=sha256:5bd218440b51b4133838c47bd5d24b7612324478bb8ff39dc17d2311ca73e34c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:41.641976Z digest=sha256:df9eb4a6216bdc5a59f739b9e0ada990e6431e3bbf43c3e3f7cf12c1e92f975f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:41.793699Z digest=sha256:c35e8f9c4a99a1fe1b07da2f437eaaff047353a0cbed8bceed8130422166378d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:41.949114Z digest=sha256:235883192e2df27e2749d2a0135954a7f593682fc43e808bc60cc4cb57ca25a6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:42.098261Z digest=sha256:d84fe8d187e947606ae8e6dcc9b2b2e594f960ebdfcb4fef02a7b8ad30583fc7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:42.221703Z digest=sha256:2fc1d7284b570327877a6d42cba809d897e5dfbc3a9aa4d04f96e95d00007ceb

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:e4a1a8745200768d81ee83ae42eaac4b962ef1ecb4affdb3773f1e22622f0c6d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:42.537082Z digest=sha256:18c57c07b7aca15af611d625e5e52057eea2706063df46062937d131171bebf4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:42.664195Z digest=sha256:b3bbd48a94ee4ac2b0088213e8e4290450d7706711b1404d452a71d87b1e8fac

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:42.782997Z digest=sha256:28208315b38a3b5128c8ac4c8bcc903ec7584320adfe91ddce414a8fff888aa9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:42.843704Z digest=sha256:e929e2850242aafb74fe4d68afbfd642a0d097ccd3fb4267124d3d28956dbce4

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:c7d120e4d6fc1a891627780db59d3aeb2a596fafc0c244d749aa351d71890ead

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:43.064662Z digest=sha256:70d8b353acc630ee39dd0c45d9911dce5cee20cb93b611a1c3ad1f9fae78901c

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:f3fa3a49a43efb6bb39379f909aaed13c4c1a78dd6672a33446d208085e00432

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:43.161776Z digest=sha256:ae9ae1c1a2d60908ac0a98bb320009731b64c3baf69874eb1f0591563f73a465

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:43.203018Z digest=sha256:81f7f0e437e8b8f9a2f336f8f11dc1a59f9e479d2345feff78613f9191da04ab

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:43.266339Z digest=sha256:80c413f2db5cece78e490dce0ac933fbc4d4b1e6f79a4482619618356b151f98

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:c162e76c1f515ca64d4681c7dde7345a581ce73e1beb4817737f13fb52211e17

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:43.444905Z digest=sha256:3aa95baebdc6bdbe7bf2d4f5ef3fb574f6ceffaa8c67f1b43297c4c9046d960b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T15:01:43.542600Z digest=sha256:619730b1cc51f4f610dc246ddb006c13afff64de961b95220020960b4f400d56

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:ed6b4634aee474598be6f1b98c52e06b2b9cb8b308ace46ebca1ad08eed25d50