Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Monte Carlo Integration Using Boosted Decision Trees and Generative Deep Neural Networks
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1707.00028.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:42:04.592353Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T05:12:18.326749Z
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 388c6a20-ca1f-4f53-8161-3db5cc81c64e · inbound
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning cites this paper.
LeStrat-Net: Lebesgue style stratification for Monte Carlo simulations powered by machine learning Efficient Monte Carlo Integration Using Boosted Decision Trees and Generative Deep Neural Networks
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:42:04.592353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5da1377-0dbf-415f-97c9-8ff17cbf5d3c · inbound
Open LHC Monte Carlo Event Generation cites this paper.
Open LHC Monte Carlo Event Generation Efficient Monte Carlo Integration Using Boosted Decision Trees and Generative Deep Neural Networks
Reference 173
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T22:02:31.997443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b8283e72-7017-421c-b7b4-b5fd5ba2ddf0 · inbound
Schr\"{o}dinger Generator for High-Dimensional Integration and Sampling on Quantum Many-Body States cites this paper.
Schr\"{o}dinger Generator for High-Dimensional Integration and Sampling on Quantum Many-Body States Efficient Monte Carlo Integration Using Boosted Decision Trees and Generative Deep Neural Networks
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T00:48:46.477962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.