Paper Citation Record · LEDGER

Improving the Fairness of Deep Generative Models without Retraining

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2012.04842.

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

pith.paper-citation-record.v1
2012.04842 v2

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 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:38:35.817010Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:12:48.369040Z

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 9219b6c9-e561-464f-bdd1-8f566e5c2dd7 · inbound

Towards Friendly AI: A Comprehensive Review and New Perspectives on Human-AI Alignment cites this paper.

Towards Friendly AI: A Comprehensive Review and New Perspectives on Human-AI Alignment Improving the Fairness of Deep Generative Models without Retraining

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T11:38:35.817010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ec98575-be7b-48d4-9c9b-f92e29b74b49 · inbound

Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach cites this paper.

Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach Improving the Fairness of Deep Generative Models without Retraining

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T04:09:04.758617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 487addbd-64ba-45b5-99c8-509aab255413 · inbound

Understanding Design Fixation in Generative AI cites this paper.

Understanding Design Fixation in Generative AI Improving the Fairness of Deep Generative Models without Retraining

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:41.139198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2b7f59f-a4f9-488e-a0c8-991e5c549ecc · inbound

Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model cites this paper.

Contrastive Conditional-Unconditional Alignment for Long-tailed Diffusion Model Improving the Fairness of Deep Generative Models without Retraining

Reference 40

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T18:12:48.410415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.