Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.17807.
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 2026-08-03T11:17:08.459822Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T07:06:36.188180Z
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 2fe395d6-ad97-4f09-ba56-88cacef354ff · inbound
MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning cites this paper.
MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:17:08.459822Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c51be522-13ce-417e-b6a7-be3fd0d14645 · inbound
GLiNER-Relex: A Unified Framework for Joint Named Entity Recognition and Relation Extraction cites this paper.
GLiNER-Relex: A Unified Framework for Joint Named Entity Recognition and Relation Extraction Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:06:36.193153Z
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 84a4f034-7b6d-41f7-aa98-db68561fbf1b · inbound
Meta-Learning Preferences for Multilingual LLM Alignment cites this paper.
Meta-Learning Preferences for Multilingual LLM Alignment Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:36:14.454651Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.