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Paper Citation Record · LEDGER

Nonlinear spiked covariance matrices and signal propagation in deep neural networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.10127.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.10127 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:32:48.071301Z

measured 0 of 1 external citation measurements

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 9dc24286-2741-4901-a7a0-3888146766e0 · inbound

Learning Hierarchical Polynomials of Multiple Nonlinear Features with Three-Layer Networks cites this paper.

Learning Hierarchical Polynomials of Multiple Nonlinear Features with Three-Layer Networks Nonlinear spiked covariance matrices and signal propagation in deep neural networks

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T12:32:48.071301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:32:48.071301Z digest=sha256:3a94a70ad3185396ac597dae384c386ab7115a2c9c5769f42e8fcfc36de332c0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T20:41:59.878583Z digest=sha256:2473e26df21bede25a81f7528a081b084ceeea96bbabbcacdd7287e35bab5d5d

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T02:35:39.845487Z digest=sha256:7ed5c141f961d99d1f422c53d9f409d7fba33409f58c9a06217f489f20a3b35e

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-30T01:22:17.359656Z digest=sha256:91747e2783232f5a2b865cfd58c471af39805d00c81e3067fc6a5d6ff9f0e79c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-01T01:42:14.145227Z digest=sha256:65d84c79403c2a571a9b91505f11a51edd9d09c6faa80639680f09a1a3198ba9

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.

source=pdf_text observed=2026-08-02T09:36:54.492476Z digest=sha256:f6f83c8ad2a4893e53c3848845f392312c662d34f7f58e2fd93c9cc48ac604a7