Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A dataset and benchmark for hospital course summarization with adapted large language models
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.05720.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:13.991102Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T23:17:10.769556Z
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 4a60b91c-0d0c-427e-be41-c93bed9d5e17 · inbound
QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing cites this paper.
QA-TOOLBOX: Conversational Question-Answering for process task guidance in manufacturing A dataset and benchmark for hospital course summarization with adapted large language models
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T23:17:10.775109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1d3ac6d1-7dbd-4cb5-88aa-760d63f05470 · inbound
ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs cites this paper.
ConTextual: Improving Clinical Text Summarization in LLMs with Context-preserving Token Filtering and Knowledge Graphs A dataset and benchmark for hospital course summarization with adapted large language models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:09:13.991102Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.