Paper Citation Record · LEDGER

R2GenGPT: Radiology Report Generation with Frozen LLMs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2309.09812.

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

pith.paper-citation-record.v1
2309.09812 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:41:33.016780Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:59:40.262595Z

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 121349fa-7d86-4839-971c-7271ec7f6f69 · inbound

RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection cites this paper.

RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection R2GenGPT: Radiology Report Generation with Frozen LLMs

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:41:33.016780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a416909-42b0-418d-b615-5243cc1f0163 · inbound

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning cites this paper.

Multimodal Large Language Models for Medical Report Generation via Customized Prompt Tuning R2GenGPT: Radiology Report Generation with Frozen LLMs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:55.629292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd139637-8fed-4536-882b-31f6dc6e7cc9 · inbound

From Bench to Bedside: A DeepSeek-Powered AI System for Automated Chest Radiograph Interpretation in Clinical Practice cites this paper.

From Bench to Bedside: A DeepSeek-Powered AI System for Automated Chest Radiograph Interpretation in Clinical Practice R2GenGPT: Radiology Report Generation with Frozen LLMs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:20.367048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5984e1de-d044-4f4e-bdb5-106f189bacd9 · inbound

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

CXR-ContraBench: Benchmarking Negated-Option Attraction in Medical VLMs R2GenGPT: Radiology Report Generation with Frozen LLMs

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:41:09.442654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7114812d-63c7-4a69-9cb1-3c01144a3e87 · inbound

GTA-Net: Cooperative Game Theory for Vision-Language Alignment in Chest X-Ray Report Generation cites this paper.

GTA-Net: Cooperative Game Theory for Vision-Language Alignment in Chest X-Ray Report Generation R2GenGPT: Radiology Report Generation with Frozen LLMs

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T07:59:40.263873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fb3c0c09-895c-477b-a2fe-3a87a65b1c2a · inbound

Towards Real-World Ultrasound Understanding: Large Vision-Language Models from Multi-Image Examinations with Long-Form Reports cites this paper.

Towards Real-World Ultrasound Understanding: Large Vision-Language Models from Multi-Image Examinations with Long-Form Reports R2GenGPT: Radiology Report Generation with Frozen LLMs

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:08:36.878683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.