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Paper Citation Record · LEDGER

Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.04138.

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

pith.paper-citation-record.v1
2408.04138 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:09:48.921511Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:37:49.464605Z

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 d17ac313-7eb4-42e8-bc4b-d88028c98d7a · inbound

DentalBench: Benchmarking and Advancing LLMs Capability for Bilingual Dentistry Understanding cites this paper.

DentalBench: Benchmarking and Advancing LLMs Capability for Bilingual Dentistry Understanding Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T15:09:48.921511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:09:48.921511Z digest=sha256:b63872002907f4784220c4e8052ca84b9368a893ae1d986f85def9f37425a307

Observation c24cb153-b670-44d2-967d-10eb45b5a00c · 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 Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering

Reference 181

Resolution
verified exact
arxiv_id, observed 2026-07-03T09:37:49.466196Z

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=2026-06-27T10:21:12.782864Z digest=sha256:4a67a476322ea8940df95b652ab9a20f1dbaf126a572a6526cbdb8770ee8e38d