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Paper Citation Record · LEDGER

Bias in Generative AI

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:41.526577Z

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 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.

source=arxiv_source observed=2026-08-07T13:43:41.526577Z digest=sha256:b7b7e74f84b00aad64be2396eacb69dce524056aad671278ccb555b7d0e7bd2c

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.

source=arxiv_source observed=2026-08-07T10:55:19.652752Z digest=sha256:a1dbcc16fbcbc7fe23c60d2d4501e19d0603e7b80c1998c9b59f250c214d5af5

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.

source=pdf_text observed=2026-08-06T20:21:42.062344Z digest=sha256:33a4a4cda762c89264a31f7533b7eae2375b4d922e3a39dbeff0d8a599cb5cdc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T20:45:11.045881Z digest=sha256:a26ae52eab567228f7fd76ea7218997b2af418fab6bb451950f66372b07c7809

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.

source=pdf_text observed=2026-08-02T22:51:31.337608Z digest=sha256:3f2da03d0e7dfb738b80edeb3a1dfc2c06970e11e643b059334c80f0ea723b4b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T17:53:46.206401Z digest=sha256:32b10cd439b6532d28e38ae3c0a15cbca01b3d9b2270d6a77dc77da75c6565e4