Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.01929.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:14:44.864750Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T18:16:11.560912Z
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 8e0408f7-2389-4267-b26b-6d462d6ff83f · inbound
Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages cites this paper.
Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:14:44.864750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67ddbca7-aadf-4096-ac2f-ccb7aa0de775 · inbound
It's All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs cites this paper.
It's All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T16:01:57.440061Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.