Paper Citation Record · LEDGER

Nationality Bias in Text Generation

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.02463.

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

pith.paper-citation-record.v1
2302.02463 v3

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 2026-08-03T06:30:56.289259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T04:20:31.649036Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:50.420257Z

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 ffa6e2d1-75f1-4707-b215-abd34ef23fe1 · inbound

How do datasets, developers, and models affect biases in a low-resourced language?: The Case of the Bengali Language cites this paper.

How do datasets, developers, and models affect biases in a low-resourced language?: The Case of the Bengali Language Nationality Bias in Text Generation

Reference 141

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:52:15.210446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 67c1a679-a31f-4e43-b99f-d44e6f373c19 · inbound

Measuring Stereotype and Deviation Biases in Large Language Models cites this paper.

Measuring Stereotype and Deviation Biases in Large Language Models Nationality Bias in Text Generation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:00:47.859351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1c667c51-32d5-46ce-a1fc-9cba00abad27 · inbound

Clustering Discourses: Racial Biases in Short Stories about Women Generated by Large Language Models cites this paper.

Clustering Discourses: Racial Biases in Short Stories about Women Generated by Large Language Models Nationality Bias in Text Generation

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:06:45.832847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 44e495f5-e1ca-42f1-aca2-47d8d5f6275c · inbound

A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs cites this paper.

A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs Nationality Bias in Text Generation

Reference 237

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T17:05:50.421829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.