Pith. sign in

Paper Citation Record · LEDGER

Enhanced Convolutional Neural Tangent Kernels

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1911.00809.

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

pith.paper-citation-record.v1
1911.00809 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:08:54.457564Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:12:30.985720Z

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 5359dc43-2dea-49a0-a6f6-f1c5a2655f87 · inbound

Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression cites this paper.

Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression Enhanced Convolutional Neural Tangent Kernels

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T22:45:01.848412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:45:01.848412Z digest=sha256:d53bc9222a5881edc6f31ef9ad3809d8ebc4df88ce59837971fb31c41d9929a0

Observation 68ec75aa-f05c-4af8-bb3b-d988af725372 · inbound

Understanding Learning Invariance in Deep Linear Networks cites this paper.

Understanding Learning Invariance in Deep Linear Networks Enhanced Convolutional Neural Tangent Kernels

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:54.457564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:08:54.457564Z digest=sha256:e04a93420019c628e4b44cbbd143ae05d0c181afd069524c1ac53349329c1c23

Observation 918c0a65-c5ef-46ef-a5c0-67681e1d4f33 · inbound

Towards Source-Free Machine Unlearning cites this paper.

Towards Source-Free Machine Unlearning Enhanced Convolutional Neural Tangent Kernels

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:12:31.030988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T18:12:29.659209Z digest=sha256:8616cd4847df550d1cae143b18e3f14749ada293a7737d2aff1ad6d00cf1d5b7

Observation a2b4cfc6-81e4-4880-8c20-2fcd2a074953 · 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 Enhanced Convolutional Neural Tangent Kernels

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-02T00:50:35.620449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T00:50:35.620449Z digest=sha256:ca303c97002ad02c6f63f5199380c5f92a3bd234c42a5128c9a775508ab35354