Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.04138.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:11:42.035807Z
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 4f189988-9ffb-4513-89da-61689f6e9a22 · inbound
Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning cites this paper.
Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:11:42.035807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.
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 2026-08-15T06:32:42.880941+00:00.