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Paper Citation Record · LEDGER

Deep, Skinny Neural Networks are not Universal Approximators

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1810.00393.

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

pith.paper-citation-record.v1
1810.00393 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T16:20:15.771616Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 db08c2f2-f53b-4c41-b6e4-0bdc327df498 · inbound

Minimum Block Width for Universal Approximation by Residual Neural Networks with Inner Width One cites this paper.

Minimum Block Width for Universal Approximation by Residual Neural Networks with Inner Width One Deep, Skinny Neural Networks are not Universal Approximators

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-11T16:40:19.220722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T16:40:19.220722Z digest=sha256:8f1d74640ecf8ccf079e7b2871a5dce91d4514d611c908ad95b0556fe3b23594

Observation 9ae3c6f5-f6f1-4434-ad95-cf9d6a070acb · inbound

Minimum Block Width for Universal Approximation by Residual Neural Networks with Inner Width One cites this paper.

Minimum Block Width for Universal Approximation by Residual Neural Networks with Inner Width One Deep, Skinny Neural Networks are not Universal Approximators

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-14T16:20:15.771616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:20:15.771616Z digest=sha256:aca33b4609fdaa20e8a06fc94c8ddf612ee54f91cd0eb59f56b62354fdc6e28c