Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep splitting method for parabolic PDEs
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1907.03452.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:09:59.823238Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T11:36:53.117516Z
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 4d2e7726-f2c8-4bd4-b380-96d12127716b · inbound
Space-time error estimates for deep neural network approximations for differential equations cites this paper.
Space-time error estimates for deep neural network approximations for differential equations Deep splitting method for parabolic PDEs
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:09:59.823238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58fc7b9f-3781-477d-a845-a6164cf60705 · inbound
Deep neural network approximations for Monte Carlo algorithms cites this paper.
Deep neural network approximations for Monte Carlo algorithms Deep splitting method for parabolic PDEs
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:39:29.498752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ab1ba34-442f-44bd-8106-a879359e975a · inbound
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators cites this paper.
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators Deep splitting method for parabolic PDEs
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T11:36:53.121301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.