Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.00397.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:29:35.291674Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T21:42:11.426033Z
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 ddc1fed2-7d57-42c2-ae15-438ebd271c3b · inbound
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation cites this paper.
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T21:42:11.428089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6cec880b-4fb4-4243-b9f4-8972be25ee3b · inbound
True Multimodal In-Context Learning Needs Attention to the Visual Context cites this paper.
True Multimodal In-Context Learning Needs Attention to the Visual Context In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:29:35.243089Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf00b6b2-469d-4226-94e6-843f3fb610e1 · inbound
True Multimodal In-Context Learning Needs Attention to the Visual Context cites this paper.
True Multimodal In-Context Learning Needs Attention to the Visual Context In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:29:35.291674Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.