Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Personalizing Text-to-Image Generation via Aesthetic Gradients
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.12330.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:33:38.194051Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T16:08:36.765887Z
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 b43a1455-ff4f-400e-b4f2-9927f36a42b5 · inbound
Dialogue with the Machine and Dialogue with the Art World: Evaluating Generative AI for Culturally-Situated Creativity cites this paper.
Dialogue with the Machine and Dialogue with the Art World: Evaluating Generative AI for Culturally-Situated Creativity Personalizing Text-to-Image Generation via Aesthetic Gradients
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:33:38.194051Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebe59e1c-fbfb-47b7-ab0e-02156e0dba17 · inbound
Hierarchical Anti-Aesthetics: Protecting Facial Privacy against Customized Diffusion Models cites this paper.
Hierarchical Anti-Aesthetics: Protecting Facial Privacy against Customized Diffusion Models Personalizing Text-to-Image Generation via Aesthetic Gradients
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T16:08:36.767553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6b25c463-3cd9-4d38-afac-12f8aa2581d2 · inbound
Hierarchical Anti-Aesthetics: Protecting Facial Privacy against Customized Diffusion Models cites this paper.
Hierarchical Anti-Aesthetics: Protecting Facial Privacy against Customized Diffusion Models Personalizing Text-to-Image Generation via Aesthetic Gradients
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T08:29:25.498449Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.