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Paper Citation Record · LEDGER

Fairness of ChatGPT

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.18569.

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

pith.paper-citation-record.v1
2305.18569 v2

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 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:22:43.114907Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T02:07:34.240925Z

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 b308dfca-f36b-4597-86e6-c6c1c7850445 · inbound

Improving LLM Group Fairness on Tabular Data via In-Context Learning cites this paper.

Improving LLM Group Fairness on Tabular Data via In-Context Learning Fairness of ChatGPT

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T21:22:43.114907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:22:43.114907Z digest=sha256:6b9e009971ff87890dc07c71ced5f215b3b144f884bcbd802cf602f48340e9e5

Observation 7b0ab6c5-94d7-40e9-be3e-638abfcc1437 · inbound

Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing cites this paper.

Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing Fairness of ChatGPT

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T20:07:04.362729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:07:04.362729Z digest=sha256:b545ded8c31b306d0182b8b35cc53f1cd9a39d261dba9d068a6d1aee76ffdbb3

Observation 8d3f97cf-9084-45ec-883d-ff0cd33e12e6 · inbound

Pareto-Guided Teacher Alignment for Fair Personalized Text Generation cites this paper.

Pareto-Guided Teacher Alignment for Fair Personalized Text Generation Fairness of ChatGPT

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:07:34.242436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T16:06:58.653836Z digest=sha256:21c04fac7085bb7da49bd5a2104b4b22c268b57cc1919ead11ab3346d3746502