Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.14173.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:31:37.542398Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:36:16.176920Z
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 7e1f9cd3-451d-4605-a55e-a7123b8546dd · inbound
D$^3$-Human: Dynamic Disentangled Digital Human from Monocular Video cites this paper.
D$^3$-Human: Dynamic Disentangled Digital Human from Monocular Video NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:31:37.542398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74d5141b-995a-474e-bcc7-62431b51403b · inbound
HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity cites this paper.
HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:36:16.292570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.