Paper Citation Record · LEDGER

Deep Equals Shallow for ReLU Networks in Kernel Regimes

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2009.14397.

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

pith.paper-citation-record.v1
2009.14397 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:34:06.459197Z

measured 1 of 1 external citation measurements

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

9
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 70de5dec-de70-4985-9e7d-b4dd3ef15825 · inbound

On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains cites this paper.

On the Eigenvalue Decay Rates of a Class of Neural-Network Related Kernel Functions Defined on General Domains Deep Equals Shallow for ReLU Networks in Kernel Regimes

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-24T08:39:12.054919Z

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 b171162c-5186-46b2-bbbc-2b9fc296c881 · inbound

Optimal Convergence Rates for Neural Operators cites this paper.

Optimal Convergence Rates for Neural Operators Deep Equals Shallow for ReLU Networks in Kernel Regimes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T05:34:06.459197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b193fb-84ae-4b16-b9b7-07aea3965c9b · inbound

Querying Kernel Methods Suffices for Reconstructing their Training Data cites this paper.

Querying Kernel Methods Suffices for Reconstructing their Training Data Deep Equals Shallow for ReLU Networks in Kernel Regimes

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:59.971614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6d4b894-b638-4de7-91b4-8ba4b20c4f05 · inbound

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations cites this paper.

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations Deep Equals Shallow for ReLU Networks in Kernel Regimes

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T20:29:37.894302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50c96ad9-5584-4894-a9b6-70630e234954 · inbound

Revisiting the Neural Tangent Kernel: the role of large width and depth cites this paper.

Revisiting the Neural Tangent Kernel: the role of large width and depth Deep Equals Shallow for ReLU Networks in Kernel Regimes

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T23:16:03.096172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 394ca3e2-69c1-4a3d-af18-c43a81d51aea · inbound

The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently cites this paper.

The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently Deep Equals Shallow for ReLU Networks in Kernel Regimes

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:31:22.831643Z

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 09da3a12-8649-4b28-8789-268303decdb6 · inbound

Large Dimensional Kernel Ridge Regression: Extending to Product Kernels cites this paper.

Large Dimensional Kernel Ridge Regression: Extending to Product Kernels Deep Equals Shallow for ReLU Networks in Kernel Regimes

Reference 139

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:48:28.811832Z

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 b5122b62-31fe-4d6b-a6f2-eb86616e92e9 · inbound

The Cost of Discretization in Functional Linear Regression: Minimax Rates and Adaptation cites this paper.

The Cost of Discretization in Functional Linear Regression: Minimax Rates and Adaptation Deep Equals Shallow for ReLU Networks in Kernel Regimes

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T03:41:36.654380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 264199cb-9250-4034-8a1b-917855395534 · inbound

Variable Importance Identification Through Lazy Training for Binary Classification cites this paper.

Variable Importance Identification Through Lazy Training for Binary Classification Deep Equals Shallow for ReLU Networks in Kernel Regimes

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T04:02:38.378831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.