Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.19012.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:40:50.124600Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T11:25:39.323506Z
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 4d6065b4-2c60-473e-b7f3-5a1085d4d6fc · inbound
StyleDiT: A Unified Framework for Diverse Child and Partner Faces Synthesis with Style Latent Diffusion Transformer cites this paper.
StyleDiT: A Unified Framework for Diverse Child and Partner Faces Synthesis with Style Latent Diffusion Transformer StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:40:50.124600Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b40e9abb-2927-4400-a677-7079618f2704 · inbound
GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators cites this paper.
GCA-3D: Towards Generalized and Consistent Domain Adaptation of 3D Generators StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T11:25:39.332555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.