Paper Citation Record · LEDGER

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2010.12309.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2010.12309 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:02:45.036126Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-23T16:38:11.321988Z

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 d2b3cb8a-0312-4dd1-874c-c4e29fc0e5e0 · inbound

Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research cites this paper.

Opportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-23T16:38:11.324436Z

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.

Observation 4790f507-ea80-40af-acfb-4f6a5a376448 · inbound

Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation cites this paper.

Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T16:40:24.044526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a3fd0d8-4404-4c17-a723-ee4d4b14b573 · inbound

Task-Oriented Dialog Systems for the Senegalese Wolof Language cites this paper.

Task-Oriented Dialog Systems for the Senegalese Wolof Language A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T15:15:32.495105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 054c8453-3dba-47da-98c4-b88c9a895548 · inbound

Language verY Rare for All cites this paper.

Language verY Rare for All A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T12:42:52.092145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 263e43c5-37b4-4112-89a1-6b137a903c29 · inbound

Speaker Diarization for Low-Resource Languages Through Wav2vec Fine-Tuning cites this paper.

Speaker Diarization for Low-Resource Languages Through Wav2vec Fine-Tuning A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:02:45.036126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e96d213-d578-41f7-972d-2519e9e8c88d · inbound

FormosanBench: Benchmarking Low-Resource Austronesian Languages in the Era of Large Language Models cites this paper.

FormosanBench: Benchmarking Low-Resource Austronesian Languages in the Era of Large Language Models A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:31:31.238324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.