Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Non-asymptotic estimates for accelerated high order Langevin Monte Carlo algorithms
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.05679.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:41:38.895788Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T03:05:53.016719Z
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 c7a484bb-bab7-4bcc-af52-4ec78f64d2b8 · inbound
kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients cites this paper.
kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients Non-asymptotic estimates for accelerated high order Langevin Monte Carlo algorithms
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:41:38.895788Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62a68889-8a8f-4642-a933-3f8f776bbcc2 · inbound
Accelerating Langevin Monte Carlo via Efficient Stochastic Runge--Kutta Methods beyond Log-Concavity cites this paper.
Accelerating Langevin Monte Carlo via Efficient Stochastic Runge--Kutta Methods beyond Log-Concavity Non-asymptotic estimates for accelerated high order Langevin Monte Carlo algorithms
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:05:53.019202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.