Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.10190.
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 2026-08-07T04:19:39.359464Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:37:28.375210Z
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 7121deef-1fcf-4a0d-a472-d7e4d22981f1 · inbound
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning cites this paper.
Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:19:39.359464Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4e8a9be-ad3a-427c-bbea-4856035ee0d3 · inbound
Looking elsewhere: improving variational Monte Carlo gradients by importance sampling cites this paper.
Looking elsewhere: improving variational Monte Carlo gradients by importance sampling A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:37:28.379480Z
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.