Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.00287.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:41:10.891706Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:35:03.953265Z
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 83502ff5-3130-423b-84b9-dda1383c9717 · inbound
From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data cites this paper.
From Reddit to Generative AI: Evaluating Large Language Models for Anxiety Support Fine-tuned on Social Media Data Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:35:03.959101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 81695e5a-d2e4-4b49-9e68-34a3302a49f6 · inbound
Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies cites this paper.
Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:41:10.891706Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.