Paper Citation Record · LEDGER

Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.23822.

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

pith.paper-citation-record.v1
2410.23822 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:06:03.501316Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:27:24.809687Z

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 3d57a6b9-2cfb-4c4a-b32f-085fd34c230f · inbound

ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports cites this paper.

ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:03.501316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c04f979b-5d03-4491-9b1e-f93dd01b8f6b · inbound

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision cites this paper.

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T17:36:27.834749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4c6f41c-3374-47b6-8195-7c141732ab98 · inbound

ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical Images cites this paper.

ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical Images Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T17:26:28.762817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a02727f-df45-4f4e-bc18-5e82890a4c5b · inbound

Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding cites this paper.

Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:27:24.815273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.