Paper Citation Record · LEDGER

Bias in Generative AI

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.02726.

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

pith.paper-citation-record.v1
2403.02726 v1

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 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:40:41.193745Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:39:29.431920Z

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 347e12d9-55a4-4cb8-923b-e47f14172a91 · inbound

Understanding Design Fixation in Generative AI cites this paper.

Understanding Design Fixation in Generative AI Bias in Generative AI

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:41.193745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab07b891-4aec-44e5-9509-95186039adfd · inbound

HarmonyCut: Supporting Creative Chinese Paper-cutting Design with Form and Connotation Harmony cites this paper.

HarmonyCut: Supporting Creative Chinese Paper-cutting Design with Form and Connotation Harmony Bias in Generative AI

Reference 113

Resolution: unresolved; no resolver link, observed 2026-08-08T12:10:43.504330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a5c9e3c-bf5e-4496-bc25-94884ae5c9f9 · inbound

Representative Language Generation cites this paper.

Representative Language Generation Bias in Generative AI

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:43:41.526577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dceec73-f500-476d-8598-a6f3df0e987a · inbound

Words of Warmth: Trust and Sociability Norms for over 26k English Words cites this paper.

Words of Warmth: Trust and Sociability Norms for over 26k English Words Bias in Generative AI

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T10:55:19.652752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bf3d3d0-b59f-4f66-9583-87804b17ffc4 · inbound

LACONIC: A 3D Layout Adapter for Controllable Image Creation cites this paper.

LACONIC: A 3D Layout Adapter for Controllable Image Creation Bias in Generative AI

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:42.062344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57513a98-8555-43a8-8cbc-8f6561095a8e · inbound

CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models cites this paper.

CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models Bias in Generative AI

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-18T20:46:51.473232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fea741e6-1c88-424c-9151-05bc83426b09 · inbound

Can Generative Artificial Intelligence Survive Data Contamination? Theoretical Guarantees under Contaminated Recursive Training cites this paper.

Can Generative Artificial Intelligence Survive Data Contamination? Theoretical Guarantees under Contaminated Recursive Training Bias in Generative AI

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T22:51:31.337608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 442030d1-415e-410b-93f6-64a25376d8d5 · inbound

BAFIS: Dataset + Framework to assess occupational Bias and Human Preference in modern Text-to-image Models cites this paper.

BAFIS: Dataset + Framework to assess occupational Bias and Human Preference in modern Text-to-image Models Bias in Generative AI

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:39:29.434112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.