Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.06439.
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 2026-08-11T10:38:00.985029Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T10:27:02.444230Z
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 0de9af18-43d5-45aa-9066-11816dc0529e · inbound
Distilling Large Language Models for Efficient Clinical Information Extraction cites this paper.
Distilling Large Language Models for Efficient Clinical Information Extraction Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:38:00.985029Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8159d28-2b0a-473e-a576-97032df5e5f7 · inbound
Different Teachers, Different Capabilities: Sub-1B On-Device Distillation for Structured Text Enrichment cites this paper.
Different Teachers, Different Capabilities: Sub-1B On-Device Distillation for Structured Text Enrichment Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T10:27:02.445421Z
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.