Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networks
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.17107.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T00:55:30.470447Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T04:15:58.120854Z
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 07d8b33f-be3b-4a61-a824-ed5f0cc9c681 · inbound
When Descent Is Too Stable: Event-Triggered Hamiltonian Learning to Optimize cites this paper.
When Descent Is Too Stable: Event-Triggered Hamiltonian Learning to Optimize Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networks
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:15:58.124465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 587a3068-fb79-47ff-9d58-8bd071a98a93 · inbound
Tamed Stochastic Gradient Hamiltonian Monte Carlo cites this paper.
Tamed Stochastic Gradient Hamiltonian Monte Carlo Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networks
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T00:55:30.470447Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.