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Paper Citation Record · LEDGER

Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2209.15517.

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

pith.paper-citation-record.v1
2209.15517 v2

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:52:00.857258Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T10:58:53.382007Z

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 e2c0e346-1f0e-4f4f-ad9c-55340e05a152 · inbound

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning cites this paper.

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-17T10:58:53.384587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-17T10:58:53.215887Z digest=sha256:86cb71dd7f60692f30004cedf85d351a9003f0f970f1b38c25f7910cc6569228

Observation 3782bc0f-1769-485d-a385-51c956017367 · inbound

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models cites this paper.

Fair-MoE: Fairness-Oriented Mixture of Experts in Vision-Language Models Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T16:52:00.857258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:52:00.857258Z digest=sha256:563304a39304b700d6e9afb84078b20b0077c1416248fcf99141caa213d185bb

Observation a8ccac7d-a15e-4e24-a4de-012c6055534c · inbound

DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis? cites this paper.

DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis? Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:10.621980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:35:10.621980Z digest=sha256:59cb50ffdc875a3bf6c8d3f728c3377f551f5fb59140cd41e496114d4c4b2b3d

Observation 8f300843-52fc-4b9e-904c-ab03b8a5d787 · 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 Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T21:55:48.962631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:55:48.962631Z digest=sha256:e7662c43a0c5207efe15ccf843863aa1c3d1c7dc35ce33fa1c1f9d21c0a6667a