Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generalization bounds for deep learning
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2012.04115.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:03:54.362533Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T17:09:58.865100Z
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 b7cd7db7-f2c4-4607-90d9-156ceb25f2e5 · inbound
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise cites this paper.
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise Generalization bounds for deep learning
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:03:54.362533Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 782ee97a-192d-42cc-883b-74f1e99b1f32 · inbound
Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning cites this paper.
Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning Generalization bounds for deep learning
Reference 101
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T15:08:24.806056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1f1921bb-a018-4c9e-9c19-0a43c26fc2ca · inbound
Certification of Machine Learning Models via Directional Sharpness cites this paper.
Certification of Machine Learning Models via Directional Sharpness Generalization bounds for deep learning
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T17:09:58.866672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.