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.

pith.paper-citation-record.v1
2302.01398 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:58:54.254541Z

measured 0 of 1 external citation measurements

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 2026-08-18T06:34:40.430872+00:00.