Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.07430.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:07:04.180828Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T04:13:53.248419Z
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 3c794b3f-87ae-40a2-8c88-55cb4766eafe · inbound
Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.
Data-Centric Foundation Models in Computational Healthcare: A Survey Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
Reference 299
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T04:13:53.251850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 444316c7-da3f-4bac-8fbf-1adaf4f6e7c7 · inbound
Ontology-Constrained Generation of Domain-Specific Clinical Summaries cites this paper.
Ontology-Constrained Generation of Domain-Specific Clinical Summaries Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:07:04.180828Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92f31872-6077-47cd-a637-316037cbccfa · inbound
Best Practices for Large Language Models in Radiology cites this paper.
Best Practices for Large Language Models in Radiology Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:35:59.409343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ee3d69c-04c6-4986-84ea-77c1bcea927a · inbound
Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation cites this paper.
Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:04:47.683597Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b814f44-824e-4dee-8702-9ad6d9d8895f · inbound
Beyond Literal Summarization: Redefining Hallucination for Medical SOAP Note Evaluation cites this paper.
Beyond Literal Summarization: Redefining Hallucination for Medical SOAP Note Evaluation Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T10:44:38.359994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.