Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.12536.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T00:41:12.506040Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T13:48:20.751226Z
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 5e2ca63f-4316-4635-9562-81c58216c91f · inbound
Who Defines Fairness? Target-Based Prompting for Demographic Representation in Generative Models cites this paper.
Who Defines Fairness? Target-Based Prompting for Demographic Representation in Generative Models Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:01:03.831205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0068ca6b-1954-4d89-9aaf-ab680edbc2c5 · inbound
Towards More General Control of Diffusion Models Using Jeffrey Guidance cites this paper.
Towards More General Control of Diffusion Models Using Jeffrey Guidance Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T13:48:20.752611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 73432e31-8dd1-4f9c-8890-757690013b29 · inbound
FairFlow: Demystifying and Mitigating Stereotype Bias in Text-to-Image Diffusion Transformers cites this paper.
FairFlow: Demystifying and Mitigating Stereotype Bias in Text-to-Image Diffusion Transformers Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T04:19:11.697328Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49fafe22-6b62-49ed-a2cc-2da025729424 · inbound
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation cites this paper.
Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation Debiasing Diffusion Model: Enhancing Fairness through Latent Representation Learning in Stable Diffusion Model
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T00:41:12.506040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.