Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.08410.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:05:32.468573Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T01:57:22.883437Z
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 45fdc7e1-39d9-4bb2-b2cd-9eebda345691 · inbound
Can AI Extract Antecedent Factors of Human Trust in AI? An Application of Information Extraction for Scientific Literature in Behavioural and Computer Sciences cites this paper.
Can AI Extract Antecedent Factors of Human Trust in AI? An Application of Information Extraction for Scientific Literature in Behavioural and Computer Sciences Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:05:32.468573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c276d928-c86c-44b0-8a0b-a97f30984278 · inbound
Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study cites this paper.
Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T01:57:22.885064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.