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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:36:27.834749Z

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 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.

source=pdf_text observed=2026-08-09T17:36:27.834749Z digest=sha256:fcfb47c7f332fe2ca998058883eee5051e180941dda654101431293cc2212c2e

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.

source=pdf_text observed=2026-08-08T17:26:28.762817Z digest=sha256:ed79ceb930e55c6d88a1e80675d00fc0737b0a9dd8b54e4a17fee424ca08a089

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:27:23.081062Z digest=sha256:fac19fea9a12d20fcd4d291312ff57f81b77cc272f6e2fa794e874a89ef89312