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Paper Citation Record · LEDGER

ChatGPT MT: Competitive for High- (but not Low-) Resource Languages

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2309.07423.

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

pith.paper-citation-record.v1
2309.07423 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:12:07.528680Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 311c1ed9-8368-4332-8923-46471373abeb · inbound

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation cites this paper.

Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation ChatGPT MT: Competitive for High- (but not Low-) Resource Languages

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-11T22:37:55.894742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:37:55.894742Z digest=sha256:8160c5d0a6f4ef99f8a8ece03354c366e1937ccca3b95e9eb77a376a5bab6198

Observation d0f2b97f-a60e-41fa-bb3d-1c6db8e1129c · inbound

Bridging the Gap with Retrieval-Augmented Generation: Making Prosthetic Device User Manuals Available in Marginalised Languages cites this paper.

Bridging the Gap with Retrieval-Augmented Generation: Making Prosthetic Device User Manuals Available in Marginalised Languages ChatGPT MT: Competitive for High- (but not Low-) Resource Languages

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T21:29:48.976410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:48.976410Z digest=sha256:8f4dfecb5f7577c0fd369e7c8b587148d56eb965f3375664b8d405d9fded0230

Observation b0c8ac2b-782a-4815-8035-1a5e42dc77d2 · inbound

Toxicity-Aware Few-Shot Prompting for Low-Resource Singlish Translation cites this paper.

Toxicity-Aware Few-Shot Prompting for Low-Resource Singlish Translation ChatGPT MT: Competitive for High- (but not Low-) Resource Languages

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T17:03:24.422157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:03:24.422157Z digest=sha256:0173d38bd04575d8de456801e9178d11e4b41266cc7b1f9dd3ab55607d4f221f

Observation e2d78480-7861-4733-b32a-79be6ca7bb8d · inbound

Dutch CrowS-Pairs: Adapting a Challenge Dataset for Measuring Social Biases in Language Models for Dutch cites this paper.

Dutch CrowS-Pairs: Adapting a Challenge Dataset for Measuring Social Biases in Language Models for Dutch ChatGPT MT: Competitive for High- (but not Low-) Resource Languages

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T15:13:15.607994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:13:15.607994Z digest=sha256:602462b187f5067c8d0763d6dea30ae006e3a984626ec9b3659a4c5d2758129b

Observation a4f78c07-9115-4035-9b3e-258232668620 · inbound

Uncovering Cross-Linguistic Disparities in LLMs using Sparse Autoencoders cites this paper.

Uncovering Cross-Linguistic Disparities in LLMs using Sparse Autoencoders ChatGPT MT: Competitive for High- (but not Low-) Resource Languages

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T18:12:07.528680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:12:07.528680Z digest=sha256:3e8b937b30076748d7d76e72e96e50d9731c52079149c48078abfa2866d7d49b

Observation f13ac94c-fce9-4bf0-a7c2-92bdf3a9481d · inbound

Finding Meaning in Embeddings: Concept Separation Curves cites this paper.

Finding Meaning in Embeddings: Concept Separation Curves ChatGPT MT: Competitive for High- (but not Low-) Resource Languages

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T21:53:45.564517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-09T21:52:40.035720Z digest=sha256:6d61990ebdcf2e3550ae87fd783248848b812be39a9a2813eb182aaefa0e5267

Observation 022bc445-7ef8-40d7-a15f-452e96f939ff · inbound

Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages cites this paper.

Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian Languages ChatGPT MT: Competitive for High- (but not Low-) Resource Languages

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:36:04.690502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T17:26:34.712711Z digest=sha256:709dee32f19b578371653a761b5c02400e5e9c3ba5f614e54ce9d29b202ebdc1

Observation 7cd5794c-e172-45a8-86d9-1b1461a3c3be · inbound

Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmarks, Failures, and Metric Reliability cites this paper.

Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmarks, Failures, and Metric Reliability ChatGPT MT: Competitive for High- (but not Low-) Resource Languages

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:29:41.927734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T11:37:03.573703Z digest=sha256:91db237320f19d51d95ef0a61d987b488dbd8c039cce0edc41885636f04d7ae0