Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1902.00621.
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 2026-08-07T12:06:38.545142Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T12:38:16.924439Z
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 6fcdbd84-5193-416d-94ed-4f6a0c352bb3 · inbound
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis cites this paper.
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:06:38.545142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 704d6717-9c78-4c4f-944a-55c06a16d419 · inbound
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel cites this paper.
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:21:45.316106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 044f753f-aee6-4e98-aecb-dd35adecb4c0 · inbound
Pointwise Generalization in Deep Neural Networks cites this paper.
Pointwise Generalization in Deep Neural Networks On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning
Reference 89
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T12:38:16.925847Z
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.