Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Combining Normalizing Flows and Quasi-Monte Carlo
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.05934.
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 2026-08-11T10:44:35.301813Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T05:10:54.819336Z
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 abf4fc5a-8ff6-425d-a763-b94427958d41 · inbound
Transport Quasi-Monte Carlo cites this paper.
Transport Quasi-Monte Carlo Combining Normalizing Flows and Quasi-Monte Carlo
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:44:35.301813Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 474f14f1-d968-451e-9030-78f90fba6baa · inbound
Error estimation for quasi-Monte Carlo cites this paper.
Error estimation for quasi-Monte Carlo Combining Normalizing Flows and Quasi-Monte Carlo
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:04:41.489505Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d74c90f3-6fa3-43c7-8ad2-e905df95f94b · inbound
labrador: A domain-optimized machine-learning tool for gravitational wave inference cites this paper.
labrador: A domain-optimized machine-learning tool for gravitational wave inference Combining Normalizing Flows and Quasi-Monte Carlo
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:10:54.821862Z
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.