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Paper Citation Record · LEDGER

Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1901.07114.

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

pith.paper-citation-record.v1
1901.07114 v2

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:26:32.791772Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:26:33.291925Z

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 ff47c7bf-041e-4803-9939-7db6ad9fc05b · inbound

The generalization error of random features regression: Precise asymptotics and double descent curve cites this paper.

The generalization error of random features regression: Precise asymptotics and double descent curve Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:26:33.296887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-14T13:26:32.791772Z digest=sha256:3d92d206d16858046de3d4613cb8f760588f96bb6d0000d7010b85029efca750

Observation bf5c8420-4cdf-4e66-aa30-dd864f663086 · inbound

Domain Adaptation of Mismatched Proximal Denoiser for Plug-and-Play Image Reconstruction cites this paper.

Domain Adaptation of Mismatched Proximal Denoiser for Plug-and-Play Image Reconstruction Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-02T00:50:35.576696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T00:50:35.576696Z digest=sha256:8380c60b6d0f1a00bc4ec9f3ee49c063b8ccdd8b81ef83715f23b5e46e6765c1