Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.14189.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:02:23.778038Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T21:36:41.142279Z
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 7b13c2e4-d44a-484f-be39-81244d859eb2 · inbound
GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction cites this paper.
GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:02:23.778038Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b6ee338-97c4-4839-8212-f9da648ea00c · inbound
DGNS: Deformable Gaussian Splatting and Dynamic Neural Surface for Monocular Dynamic 3D Reconstruction cites this paper.
DGNS: Deformable Gaussian Splatting and Dynamic Neural Surface for Monocular Dynamic 3D Reconstruction Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:03:16.367035Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation edeef03c-3e00-443d-bc97-f41dd80f93bc · inbound
FatesGS: Fast and Accurate Sparse-View Surface Reconstruction using Gaussian Splatting with Depth-Feature Consistency cites this paper.
FatesGS: Fast and Accurate Sparse-View Surface Reconstruction using Gaussian Splatting with Depth-Feature Consistency Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T21:36:41.149855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.