Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving the Fairness of Deep Generative Models without Retraining
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2012.04842.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T04:09:04.758617Z
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 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 2026-08-10T06:31:04.303077+00:00.