Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.04897.
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 2026-08-09T12:26:25.044408Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T18:17:23.363279Z
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 3bf5d368-dfb2-47df-be97-eae9c0d1886e · inbound
MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning cites this paper.
MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:26:25.044408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0fa774e-fef7-45db-b45a-33d9a26f5946 · inbound
GAS: Generative Avatar Synthesis from a Single Image cites this paper.
GAS: Generative Avatar Synthesis from a Single Image Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:17:55.636783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce3a4dbf-2558-4401-9b9e-f2fb94180588 · inbound
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds cites this paper.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T18:17:23.413502Z
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.