Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.04284.
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 2026-08-12T15:36:20.095457Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:27:30.172271Z
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 d43d6292-030a-4be3-87f1-bee07d9f2d56 · inbound
On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing cites this paper.
On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:36:20.095457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 979b0112-78ec-47f9-a442-c42a8e04c5d8 · inbound
Flat Minima and Generalization: Insights from Stochastic Convex Optimization cites this paper.
Flat Minima and Generalization: Insights from Stochastic Convex Optimization Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:59:09.480266Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4c3110e-feaa-4eec-b173-4046c1d1d5b7 · inbound
Muon Learns More Robust and Transferable Features than Adam cites this paper.
Muon Learns More Robust and Transferable Features than Adam Improved Sample Complexities for Deep Networks and Robust Classification via an All-Layer Margin
Reference 139
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:27:30.173684Z
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.