Paper Citation Record · LEDGER

A Survey on Bias and Fairness in Natural Language Processing

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2204.09591.

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

pith.paper-citation-record.v1
2204.09591 v1

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:57:36.337544Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-09T05:50:28.547657Z

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 8c616f34-5394-4add-9125-7ed5b96d1a8c · inbound

Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study cites this paper.

Ethical Concerns of Generative AI and Mitigation Strategies: A Systematic Mapping Study A Survey on Bias and Fairness in Natural Language Processing

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:30.749952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 326d1c56-bfe5-4998-b6a8-6a0b37edbe65 · inbound

Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation cites this paper.

Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation A Survey on Bias and Fairness in Natural Language Processing

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:36.337544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e03818f5-3e2b-447d-890f-19687c3171d8 · inbound

Bias is a Math Problem, AI Bias is a Technical Problem: 10-year Literature Review of AI/LLM Bias Research Reveals Narrow [Gender-Centric] Conceptions of 'Bias', and Academia-Industry Gap cites this paper.

Bias is a Math Problem, AI Bias is a Technical Problem: 10-year Literature Review of AI/LLM Bias Research Reveals Narrow [Gender-Centric] Conceptions of 'Bias', and Academia-Industry Gap A Survey on Bias and Fairness in Natural Language Processing

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T17:33:42.276201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 795c35ae-9aaf-4ce0-ad78-140944a158d0 · inbound

Toward Fair Speech Technologies: A Comprehensive Survey of Bias and Fairness in Speech AI cites this paper.

Toward Fair Speech Technologies: A Comprehensive Survey of Bias and Fairness in Speech AI A Survey on Bias and Fairness in Natural Language Processing

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:50:28.563787Z

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.