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Paper Citation Record · LEDGER

Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.10329.

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

pith.paper-citation-record.v1
2407.10329 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:42:07.359946Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:22:28.995488Z

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 c89f36a0-a5c4-45ab-8e6b-b2fa98c33e56 · inbound

Breaking Down Bias: On The Limits of Generalizable Pruning Strategies cites this paper.

Breaking Down Bias: On The Limits of Generalizable Pruning Strategies Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T11:42:07.359946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:42:07.359946Z digest=sha256:6da5f29788dee85f8afa4d11e73f10aa4aafa4335ad4ee0e2e33f87aea735f22

Observation b90ea235-724a-4754-b354-2c56def0c10c · inbound

Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations cites this paper.

Mitigation of Gender and Ethnicity Bias in AI-Generated Stories through Model Explanations Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T11:22:28.998841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:22:28.919788Z digest=sha256:ff242e218eccfbfb4ef2a67e5dc300a31e1e4a6f72eb4369ea4e32d78fb76742