Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.08666.
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 2026-08-09T10:46:26.609144Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:42:42.909237Z
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 c749b063-4115-4cf6-b306-f052d282986b · inbound
OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation cites this paper.
OPTIC: Optimizing Patient-Provider Triaging & Improving Communications in Clinical Operations using GPT-4 Data Labeling and Model Distillation Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:46:26.609144Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b93aba1-62a6-4351-909f-e93e6369e1ad · inbound
A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models cites this paper.
A Comprehensive Survey of Electronic Health Record Modeling: From Deep Learning Approaches to Large Language Models Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures
Reference 127
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:42:42.912814Z
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.