Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.14321.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T23:56:16.742983Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T05:51:10.658111Z
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 cd1c77c7-6754-45cd-a3d6-543b25654c4a · inbound
MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot cites this paper.
MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:56:16.742983Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2205b251-9d7a-4d88-b8b7-a36cb3a7335a · inbound
Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems cites this paper.
Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:31:09.404092Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6ecc0c3-3e5e-4e1e-af38-777768cee7c9 · inbound
HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare cites this paper.
HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:10:32.805210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 208ebf64-c48a-4636-9b3f-ba86ecdb7dce · inbound
Improving Biomedical Knowledge Graph Quality: A Community Approach cites this paper.
Improving Biomedical Knowledge Graph Quality: A Community Approach Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:01:54.685894Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d4cad71-5103-4227-a9d1-58c9cdcb8272 · inbound
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T05:51:10.659312Z
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.