Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Error estimates of asymptotic-preserving neural networks in approximating stochastic linearized Boltzmann equation
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2503.01643.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:30:54.427711Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:30:54.492282Z
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
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Pith citing papers
Observation 4d1b4057-5c50-473e-bcce-53a430e0f9bc · inbound
Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations cites this paper.
Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations Error estimates of asymptotic-preserving neural networks in approximating stochastic linearized Boltzmann equation
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:30:54.500199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.