Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Assessing the Quality of AI-Generated Clinical Notes: A Validated Evaluation of a Large Language Model Scribe
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.17047.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:08:28.562592Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:13:19.408857Z
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 6ef2f7f2-3e54-4282-9a1e-41f6c859800b · inbound
DENSE: Longitudinal Progress Note Generation with Temporal Modeling of Heterogeneous Clinical Notes Across Hospital Visits cites this paper.
DENSE: Longitudinal Progress Note Generation with Temporal Modeling of Heterogeneous Clinical Notes Across Hospital Visits Assessing the Quality of AI-Generated Clinical Notes: A Validated Evaluation of a Large Language Model Scribe
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:13:19.463456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d7b71641-b679-4d82-b8e9-deb1809ba787 · inbound
Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting cites this paper.
Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting Assessing the Quality of AI-Generated Clinical Notes: A Validated Evaluation of a Large Language Model Scribe
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:08:28.562592Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.