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Paper Citation Record · LEDGER

Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.18460.

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

pith.paper-citation-record.v1
2305.18460 v3

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T21:31:15.241132Z

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

3
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 f08396e7-25d5-4348-b520-bac7a2fb4573 · inbound

Model reduction of parametric ordinary differential equations via autoencoders: representation properties and convergence analysis cites this paper.

Model reduction of parametric ordinary differential equations via autoencoders: representation properties and convergence analysis Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:56:26.604901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T13:52:45.486766Z digest=sha256:7ac9bfc6520c9b7e6627bfd6487e8c05ce9bfd8f35bd12717d5d2e0ed3769845

Observation f293d579-01a2-4ebc-ad9a-e53d1187d8bf · inbound

A holomorphic neural network framework for 3D boundary value problems governed by harmonic potentials cites this paper.

A holomorphic neural network framework for 3D boundary value problems governed by harmonic potentials Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-28T21:32:38.069534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-28T21:31:15.241132Z digest=sha256:6db926616c39850ef1e129f48d28aead8094a01cbf856233ae92be4a99958164