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Paper Citation Record · LEDGER

Nationality Bias in Text Generation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:51:13.363376Z

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 8a8ad1a3-6d65-4fbd-afd1-402b74913b5e · inbound

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models cites this paper.

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models Nationality Bias in Text Generation

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-12T14:51:13.363376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:51:13.363376Z digest=sha256:a1dffd79a43c4c282e9d28b4e6095c43f5960548363112d0bde9ad64d74d1b22

Observation d4d2c1b5-24d1-4a4d-ba80-6f588d56814c · inbound

OrgAccess: A Benchmark for Role Based Access Control in Organization Scale LLMs cites this paper.

OrgAccess: A Benchmark for Role Based Access Control in Organization Scale LLMs Nationality Bias in Text Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:07.662059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:07.662059Z digest=sha256:c0c836cd22aff6c31dfa50b2af846717c898b728e806c7b786ef442f9592eb73

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-19T10:49:31.436011Z digest=sha256:93bf2d7740655b255abb147eedfd6045ad68dc1ea4d611867665b688f9d03bd8

Observation 4a1e8297-fdc4-4be5-ac49-e0b56ca7201d · inbound

McBE: A Multi-task Chinese Bias Evaluation Benchmark for Large Language Models cites this paper.

McBE: A Multi-task Chinese Bias Evaluation Benchmark for Large Language Models Nationality Bias in Text Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T20:43:53.240019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:43:53.240019Z digest=sha256:d0f3d5f28d0c35d3809f028b1d796386cb546d06b575b9a48958d7199fbb19f9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T23:57:16.883657Z digest=sha256:a432b33486e9ed1293203b39a333778fabae4973c2402da439f065a6ecd10612

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-18T19:04:17.875147Z digest=sha256:02621fdfe8886c8501e70ca168c69fc84405e3e4442fe7238df0e6be429d96ea

Observation 2fb04d8e-ff00-40f9-8246-c952da5c1038 · inbound

Generating the Modal Worker: A Cross-Model Audit of Race and Gender in LLM-Generated Personas Across 41 Occupations cites this paper.

Generating the Modal Worker: A Cross-Model Audit of Race and Gender in LLM-Generated Personas Across 41 Occupations Nationality Bias in Text Generation

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-04T08:23:48.228162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:23:48.228162Z digest=sha256:701da51127729ddb5680db0c6b47b2f7b103bcf46f4816d4d97f8ef0b1f2fdfa

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-29T04:20:31.649036Z digest=sha256:d2e5ced6cc806f6584ddbd7c987d169d3cf7ddeec27e9dec3ced9b37372e32d3