Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The unreasonable effectiveness of few-shot learning for machine translation
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.01398.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:58:54.254541Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:24:35.147841Z
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 c9eea593-5a12-4022-af32-dff9c00e7349 · inbound
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models cites this paper.
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models The unreasonable effectiveness of few-shot learning for machine translation
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:27:31.270675Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 091c8682-c4ff-4947-8913-59aac017817a · inbound
Fine-Tuning LLMs for Low-Resource Dialect Translation: The Case of Lebanese cites this paper.
Fine-Tuning LLMs for Low-Resource Dialect Translation: The Case of Lebanese The unreasonable effectiveness of few-shot learning for machine translation
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:58:54.254541Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45e3858b-b1c5-455f-9baf-81636aa00b48 · inbound
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits cites this paper.
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits The unreasonable effectiveness of few-shot learning for machine translation
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:29:34.786385Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81a1be53-cfbe-474c-aaad-a478a100070e · inbound
Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters cites this paper.
Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters The unreasonable effectiveness of few-shot learning for machine translation
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:24:35.155087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.