Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Stochastic Gradient Langevin Dynamics Algorithms with Adaptive Drifts
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2009.09535.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T08:04:35.229957Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T12:39:50.044032Z
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 7804d652-4464-408b-9927-f103b76b9b8d · inbound
Denoising-GS: Gaussian Splatting with Spatial-aware Denoising cites this paper.
Denoising-GS: Gaussian Splatting with Spatial-aware Denoising Stochastic Gradient Langevin Dynamics Algorithms with Adaptive Drifts
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T14:25:46.760026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8845f926-d68d-4cbe-a978-5b4a6b638400 · inbound
Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions cites this paper.
Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions Stochastic Gradient Langevin Dynamics Algorithms with Adaptive Drifts
Reference 268
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T12:39:50.045376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2f95437a-6256-487d-8599-72049d7e1223 · inbound
Generative Bayesian Filtering for State Estimation cites this paper.
Generative Bayesian Filtering for State Estimation Stochastic Gradient Langevin Dynamics Algorithms with Adaptive Drifts
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T08:04:35.229957Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.