Paper Citation Record · LEDGER

A Systematic Review of Deep Learning-based Research on Radiology Report Generation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.14199.

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

pith.paper-citation-record.v1
2311.14199 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 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:32.766363Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:04:44.760554Z

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 1782b99e-7650-4b39-92f3-2570907e77ba · inbound

A Survey of Medical Vision-and-Language Applications and Their Techniques cites this paper.

A Survey of Medical Vision-and-Language Applications and Their Techniques A Systematic Review of Deep Learning-based Research on Radiology Report Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T17:52:01.622892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4be9ebd2-bf33-4b73-9e69-d6a6529a4ac4 · inbound

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation cites this paper.

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation A Systematic Review of Deep Learning-based Research on Radiology Report Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T15:21:42.109726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45325507-5ec9-44d0-874c-f06930639176 · inbound

MedBLIP: Fine-tuning BLIP for Medical Image Captioning cites this paper.

MedBLIP: Fine-tuning BLIP for Medical Image Captioning A Systematic Review of Deep Learning-based Research on Radiology Report Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:32.766363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 071448da-0079-4beb-93d2-e8d96be952a9 · inbound

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation cites this paper.

Recurrent Visual Feature Extraction and Stereo Attentions for CT Report Generation A Systematic Review of Deep Learning-based Research on Radiology Report Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:12.273289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f469635-1070-4d7e-a244-fd8401c38fd2 · inbound

SliceWorld: A Predictive and Controllable World-State Model for CT Report Generation cites this paper.

SliceWorld: A Predictive and Controllable World-State Model for CT Report Generation A Systematic Review of Deep Learning-based Research on Radiology Report Generation

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:04:44.762298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4cd89b23-b2b5-44fe-b517-c0a9ee0fa09e · inbound

PanDent: Toward Comprehensive Tooth-Level Structure-Language Consistency in Dental Radiology cites this paper.

PanDent: Toward Comprehensive Tooth-Level Structure-Language Consistency in Dental Radiology A Systematic Review of Deep Learning-based Research on Radiology Report Generation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T08:31:35.785195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.