Paper Citation Record · LEDGER

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.12604.

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

pith.paper-citation-record.v1
2308.12604 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 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:49:30.505380Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:55:51.156862Z

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 96d7baa8-9e97-4620-837e-a6fae3c446ee · inbound

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation cites this paper.

Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T21:10:16.647880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4955d76-054b-45bc-aa5d-e1ef617f5dbf · inbound

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling cites this paper.

ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T12:20:25.723776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98dd49c9-7938-4f44-8a21-c075a9a3d99e · inbound

Online Iterative Self-Alignment for Radiology Report Generation cites this paper.

Online Iterative Self-Alignment for Radiology Report Generation PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:49:30.505380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01ad17ea-4d6d-4406-ac67-a0e68fcfe43d · inbound

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

RADAR: Enhancing Radiology Report Generation with Supplementary Knowledge Injection PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:41:31.306153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3af64be6-5390-4ff8-8cda-e29ec22c672a · inbound

Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation cites this paper.

Region-Aware Multimodal Large Language Model via SlowFast Tokenization and Pseudo-Mask Guidance for 3D CT Report Generation PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:55:51.257510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f669d50c-3832-4648-96d0-570bc637a5ff · 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 PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:20.066568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.