Pith. sign in

Paper Citation Record · LEDGER

The universal approximation power of finite-width deep ReLU networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1806.01528.

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

pith.paper-citation-record.v1
1806.01528 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T06:01:25.773672Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T12:39:29.105787Z

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 ed9ca85c-4556-43ee-aa5d-980992b52a81 · inbound

Deep neural network approximation theory for high-dimensional functions cites this paper.

Deep neural network approximation theory for high-dimensional functions The universal approximation power of finite-width deep ReLU networks

Reference 91

Resolution
verified exact
local_arxiv, observed 2026-05-24T12:39:29.108957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T12:37:24.021894Z digest=sha256:f7fa709e01c2e162a4d0e9fbe90b09ffa419b3bfdba4fd3e4217d1f61fd0c12c

Observation c9a8da62-3b7e-45fd-80e9-91b5c3100dee · inbound

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity cites this paper.

Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity The universal approximation power of finite-width deep ReLU networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-11T06:01:25.773672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T06:01:25.773672Z digest=sha256:ea2f8723f22a17902f17e6ae77f664e39b1f23c113e66959518cd86ced2a67ed