Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Nonlinear spiked covariance matrices and signal propagation in deep neural networks
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.10127.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T09:36:54.492476Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:56:56.090727Z
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 85abd281-5fb5-408d-b9b7-9b8cd79794f3 · inbound
Bayesian Inference with Shaped Deep Non-linear MLPs cites this paper.
Bayesian Inference with Shaped Deep Non-linear MLPs Nonlinear spiked covariance matrices and signal propagation in deep neural networks
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T20:42:37.084340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5acc8bc0-f5bb-4af7-af73-a5630404f709 · inbound
Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss cites this paper.
Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss Nonlinear spiked covariance matrices and signal propagation in deep neural networks
Reference 297
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T11:56:56.093636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 20cd829a-1d7f-47a7-a134-dd476c9cbbdb · inbound
Spectral phase transitions and trainability in neural network learning dynamics cites this paper.
Spectral phase transitions and trainability in neural network learning dynamics Nonlinear spiked covariance matrices and signal propagation in deep neural networks
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T15:35:47.505013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e1cc259f-8ca6-4c13-a8ad-482a1c96e478 · inbound
Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product cites this paper.
Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product Nonlinear spiked covariance matrices and signal propagation in deep neural networks
Reference 65
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T12:45:44.981106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9e1e6bff-707d-44eb-90cb-4af957df3395 · inbound
Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product cites this paper.
Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product Nonlinear spiked covariance matrices and signal propagation in deep neural networks
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T09:36:54.492476Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.