Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.18346.
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 2026-08-12T00:03:53.651191Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T23:40:44.323423Z
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 33da3af5-e927-4c03-bd74-cc89695d29c7 · inbound
NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers? cites this paper.
NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers? Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:03:53.651191Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03e9cc4a-01bd-4cd9-973f-6860447e380e · inbound
Are LLMs reliable? An exploration of the reliability of large language models in clinical note generation cites this paper.
Are LLMs reliable? An exploration of the reliability of large language models in clinical note generation Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:28:19.270196Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48e59ee4-0184-4651-b048-d2f9adde57e7 · inbound
Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework cites this paper.
Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:35:41.697691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf7c0d93-e9a7-4aea-81d2-b16d9303f7dd · 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 Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:13:17.650376Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05e2fd1e-6420-49c2-b404-f1424eda8c29 · inbound
Skin-SOAP: A Weakly Supervised Framework for Generating Structured SOAP Notes cites this paper.
Skin-SOAP: A Weakly Supervised Framework for Generating Structured SOAP Notes Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T23:40:44.327921Z
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.