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Paper Citation Record · LEDGER

Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.02237.

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

pith.paper-citation-record.v1
2408.02237 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:11:12.018398Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:38:15.654393Z

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 bc0f5a2e-c622-4f53-b1cb-ff1a63cc5a80 · inbound

Mitigating Extrinsic Gender Bias for Bangla Classification Tasks cites this paper.

Mitigating Extrinsic Gender Bias for Bangla Classification Tasks Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:38:15.658336Z

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.

source=arxiv_source observed=2026-05-23T17:37:19.934268Z digest=sha256:365b7ff4dded981f4c5b0dbf41d343b9baaaeaaf36876c517dd7fa2f834c375b

Observation ec0bb4ca-82e6-461f-9bf3-bf4e48b462f4 · 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 Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:38:11.396444Z

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.

source=pdf_text observed=2026-05-23T16:36:02.895613Z digest=sha256:93e7330dccc51f95c34453bfe7394784ccadef5bcdf5a85f9edde1006a513a7d

Observation a800f622-8927-44e0-9e68-ee0ac5b8befe · inbound

Towards Inclusive NLP: Assessing Compressed Multilingual Transformers across Diverse Language Benchmarks cites this paper.

Towards Inclusive NLP: Assessing Compressed Multilingual Transformers across Diverse Language Benchmarks Do Large Language Models Speak All Languages Equally? A Comparative Study in Low-Resource Settings

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T14:11:12.018398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:11:12.018398Z digest=sha256:e5b65d9aee8abce9a697dcbb9e0a7f38f77f0dd2221b76bd6229a9b75948a071