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Paper Citation Record · LEDGER

Large Language Models for Medicine: A Survey

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.13055.

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

pith.paper-citation-record.v1
2405.13055 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 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T10:21:12.782864Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:47:59.432846Z

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 bd950130-8d8b-45ea-991a-dd5c7c1c3ebb · inbound

M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation cites this paper.

M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation Large Language Models for Medicine: A Survey

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:05:50.469323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T22:03:33.418989Z digest=sha256:f54bc1f89e86db3a6b834d48ef3d5722c341923c0e7bd00fcda2150862a7832e

Observation 2dae9cb4-8177-452e-9648-2019d7bbdbf3 · inbound

Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models cites this paper.

Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models Large Language Models for Medicine: A Survey

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:18:31.860623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T22:15:52.638622Z digest=sha256:d25416ed9557eec260ef229743954997e2cd3dac4d77d44cdb1e6028e56db05d

Observation ad1eeb28-a258-4ac3-8b95-02c3b6cb0aa2 · inbound

IMACT-CXR: An Interactive Multi-Agent Conversational Tutoring System for Chest X-Ray Interpretation cites this paper.

IMACT-CXR: An Interactive Multi-Agent Conversational Tutoring System for Chest X-Ray Interpretation Large Language Models for Medicine: A Survey

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T20:15:10.550181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T20:13:43.296245Z digest=sha256:b21218230064a34f71614a8c89508ddb568276ff225a75d5a6cb1d8ad145475e

Observation 2fe5dde6-10af-4791-be37-51db0fe0e863 · inbound

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA cites this paper.

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA Large Language Models for Medicine: A Survey

Reference 182

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T09:47:59.434123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T10:21:12.782864Z digest=sha256:735ad4bcc962dd94c6c0d9d8190829eef8776622e7b9c3cf23f7b6261a429b70