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Paper Citation Record · LEDGER

Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1810.05369.

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

pith.paper-citation-record.v1
1810.05369 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:19:57.697941Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-15T13:10:00.836401Z

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 cbbac062-c01f-4108-8af8-e7d528043a29 · inbound

Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization cites this paper.

Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-14T11:19:57.697941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:19:57.697941Z digest=sha256:c8e5f6f0f5c318afedd83a65ac9e733c46e2b6f6667f1b8db264715d87ad3b30

Observation f7130ae5-86b2-4af0-bb6c-f7a14a5f00e4 · inbound

Algorithmic Task Capture, Computational Complexity, and Inductive Bias of Infinite Transformers cites this paper.

Algorithmic Task Capture, Computational Complexity, and Inductive Bias of Infinite Transformers Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:10:00.838705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T13:09:21.144212Z digest=sha256:4e06ece2633a4fd9ad72a4d679a66bc8524f3d8489ce6c70cb3019197d261549