Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generalization Error Bounds for Deep Neural Networks Trained by SGD
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.03299.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:45:20.815282Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T01:05:16.065935Z
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 9ee5f667-0d50-48a9-9b6c-70b84fe8378b · inbound
Mechanisms of Generative Image-to-Image Translation Networks cites this paper.
Mechanisms of Generative Image-to-Image Translation Networks Generalization Error Bounds for Deep Neural Networks Trained by SGD
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:45:20.815282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5dbb14d6-8446-487a-bcc2-3ca4d549b1b0 · inbound
Path Regularization: A Near-Complete and Optimal Nonasymptotic Generalization Theory for Multilayer Neural Networks and Double Descent Phenomenon cites this paper.
Path Regularization: A Near-Complete and Optimal Nonasymptotic Generalization Theory for Multilayer Neural Networks and Double Descent Phenomenon Generalization Error Bounds for Deep Neural Networks Trained by SGD
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T01:05:16.069332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b732d131-169b-4e8a-949c-99e7539db07c · inbound
Generalization Bound for a General Class of Neural Ordinary Differential Equations cites this paper.
Generalization Bound for a General Class of Neural Ordinary Differential Equations Generalization Error Bounds for Deep Neural Networks Trained by SGD
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:14:10.337719Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.