Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep linear networks for regression are implicitly regularized towards flat minima
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.13456.
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 2026-08-06T19:42:17.996069Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation a4a0643a-a90b-4fd4-83c4-c8f2ab9bd5ef · inbound
Experimental data re-uploading with provable enhanced learning capabilities cites this paper.
Experimental data re-uploading with provable enhanced learning capabilities Deep linear networks for regression are implicitly regularized towards flat minima
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:42:17.996069Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7117621a-a7a5-46b2-acb2-c27e90904df2 · inbound
Wolkowicz-Styan Upper Bound on the Hessian Eigenspectrum for Cross-Entropy Loss in Nonlinear Smooth Neural Networks cites this paper.
Wolkowicz-Styan Upper Bound on the Hessian Eigenspectrum for Cross-Entropy Loss in Nonlinear Smooth Neural Networks Deep linear networks for regression are implicitly regularized towards flat minima
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T16:15:34.024604Z
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.