Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data-Driven Surrogate Modeling of DSMC Solutions Using Deep Neural Networks
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2506.22453.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-08T01:35:01.859305Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T23:06:21.162838Z
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 94ec8a15-c2c8-4b26-9358-0c15f47d40a3 · inbound
Multilevel radial basis function surrogates for noise-robust DSMC-CFD coupling cites this paper.
Multilevel radial basis function surrogates for noise-robust DSMC-CFD coupling Data-Driven Surrogate Modeling of DSMC Solutions Using Deep Neural Networks
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:06:21.166109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.