Paper Citation Record · LEDGER

RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2211.12737.

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

pith.paper-citation-record.v1
2211.12737 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:37:37.921207Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T18:04:00.558144Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c7cb75f6-39f6-4346-a4fb-aa7420e799cb · inbound

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants cites this paper.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T13:53:57.841992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c409486e-88e8-4cb5-94c5-85dcfad43f6a · inbound

The Devil is in the Prompts: De-Identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray Generation cites this paper.

The Devil is in the Prompts: De-Identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray Generation RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T12:31:21.677703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a69410c-4258-456e-86d4-9f2bba7135c7 · inbound

Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images cites this paper.

Shifts in Doctors' Eye Movements Between Real and AI-Generated Medical Images RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T11:37:37.921207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc8bc7e2-41a2-4ca1-bd29-1b8a397959b1 · inbound

Prompt to Polyp: Medical Text-Conditioned Image Synthesis with Diffusion Models cites this paper.

Prompt to Polyp: Medical Text-Conditioned Image Synthesis with Diffusion Models RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T23:09:00.865376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f1cf7a3-8431-4593-9db1-0ab05761e7ab · inbound

MRI Image Generation Based on Text Prompts cites this paper.

MRI Image Generation Based on Text Prompts RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:38.474509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c281b6-4154-430b-bd45-b07c6b6ee886 · inbound

Can Modern NLP Systems Reliably Annotate Chest Radiography Exams? A Pre-Purchase Evaluation and Comparative Study of Solutions from AWS, Google, Azure, John Snow Labs, and Open-Source Models on an Independent Pediatric Dataset cites this paper.

Can Modern NLP Systems Reliably Annotate Chest Radiography Exams? A Pre-Purchase Evaluation and Comparative Study of Solutions from AWS, Google, Azure, John Snow Labs, and Open-Source Models on an Independent Pediatric Dataset RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:58:36.507506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3075a095-8025-452a-bac6-f29f6a337d17 · inbound

ImmunoDiff: A Diffusion Model for Immunotherapy Response Prediction in Lung Cancer cites this paper.

ImmunoDiff: A Diffusion Model for Immunotherapy Response Prediction in Lung Cancer RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:43:59.400616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06d97065-24a4-4a34-8b20-072f239694b0 · inbound

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis cites this paper.

MedDiff-FT: Data-Efficient Diffusion Model Fine-tuning with Structural Guidance for Controllable Medical Image Synthesis RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:23:10.395073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a81db1bb-7c1f-48ba-a005-7c236fbfd725 · inbound

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey cites this paper.

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T22:02:24.884345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc85a38c-e4aa-4e8c-87c1-0aa8c06a5816 · inbound

Perceptual Evaluation of GANs and Diffusion Models for Generating X-rays cites this paper.

Perceptual Evaluation of GANs and Diffusion Models for Generating X-rays RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T22:21:02.137812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0347d435-fb6f-40ab-9e30-1333c79ee8f1 · inbound

Diffusion-Based Data Augmentation for Medical Image Segmentation cites this paper.

Diffusion-Based Data Augmentation for Medical Image Segmentation RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:39.228940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2745db78-2c01-4b21-b1c7-7a3e679ab628 · inbound

RoentMod: A Synthetic Chest X-Ray Modification Model to Identify and Correct Image Interpretation Model Shortcuts cites this paper.

RoentMod: A Synthetic Chest X-Ray Modification Model to Identify and Correct Image Interpretation Model Shortcuts RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T20:20:01.713864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 016bb8ee-56d1-48b0-9d29-d57102d10f12 · inbound

Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models cites this paper.

Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T19:48:41.279002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85dd28e3-1b4b-48c2-b0cc-fa3dfba02acd · inbound

Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation cites this paper.

Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T13:51:49.705476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 169514f0-6ded-4adc-bd30-b443fcb39d37 · inbound

CARL-CXR: Continual Adapter-Based Routing for Task-Unknown Chest Radiograph Classification cites this paper.

CARL-CXR: Continual Adapter-Based Routing for Task-Unknown Chest Radiograph Classification RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T22:48:04.399284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0efe9f93-3024-4b47-a264-5216ffcda3f0 · inbound

CompDiff: Hierarchical Compositional Diffusion for Fair and Zero-Shot Intersectional Medical Image Generation cites this paper.

CompDiff: Hierarchical Compositional Diffusion for Fair and Zero-Shot Intersectional Medical Image Generation RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T18:05:36.548916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d6832b3-d773-48b1-8acd-50ace037fde1 · inbound

Disentangled Anatomy-Disease Diffusion (DADD) for Controllable Ulcerative Colitis Progression Synthesis cites this paper.

Disentangled Anatomy-Disease Diffusion (DADD) for Controllable Ulcerative Colitis Progression Synthesis RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:16:08.241890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 554eef08-a59f-4fba-94f2-9c7806a88d2b · inbound

Uncertainty Reasoning with Large Language Models for Explainable Disease Diagnosis cites this paper.

Uncertainty Reasoning with Large Language Models for Explainable Disease Diagnosis RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:53:59.267356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4cbb580-0174-4364-aaef-05c0324a9ed9 · inbound

Scaling Generative Foundation Models for Chest Radiography with Rectified Flow Transformers cites this paper.

Scaling Generative Foundation Models for Chest Radiography with Rectified Flow Transformers RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 105

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:29:16.080925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4e6df1f1-baa2-470f-a1c4-a2cf41d751e0 · inbound

Steering Optimisation Trajectories in Diffusion Representation Learning cites this paper.

Steering Optimisation Trajectories in Diffusion Representation Learning RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-07T18:04:00.563306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0da23f0c-6106-4279-8c79-01bab8aff9ad · inbound

Demographically-Conditioned Synthetic Medical Images for Bias Mitigation and Bias Detection in Disease Classifiers cites this paper.

Demographically-Conditioned Synthetic Medical Images for Bias Mitigation and Bias Detection in Disease Classifiers RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T00:34:39.329799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d2f7ff-3eb9-49d1-93df-d0df32eef50b · inbound

UniNDM: A Unified Noise-driven Detection and Mitigation Framework Against Sexual Content in Text-to-Image Generation cites this paper.

UniNDM: A Unified Noise-driven Detection and Mitigation Framework Against Sexual Content in Text-to-Image Generation RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T19:54:46.306535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48ed98db-cd3b-4e31-8f46-92af518b1cbe · inbound

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches cites this paper.

Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches RoentGen: Vision-Language Foundation Model for Chest X-ray Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T14:06:09.557339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.