Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.03216.
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 2026-08-09T18:22:05.560726Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:24:49.049314Z
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 8a724f3f-f284-4e0a-bef2-85cc7d9d5492 · inbound
Lifting the Winding Number: Precise Discontinuities in Neural Fields for Physics Simulation cites this paper.
Lifting the Winding Number: Precise Discontinuities in Neural Fields for Physics Simulation Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:22:05.560726Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebabe8cd-cc42-455b-9087-d0159b98cb82 · inbound
Neural Dynamic Modes: Computational Imaging of Dynamical Systems from Sparse Observations cites this paper.
Neural Dynamic Modes: Computational Imaging of Dynamical Systems from Sparse Observations Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:24:49.130564Z
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.