Pith. sign in

Paper Citation Record · LEDGER

Approximation Power of Deep Neural Networks: an explanatory mathematical survey

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2207.09511.

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

pith.paper-citation-record.v1
2207.09511 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:46:22.842672Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:56:29.845259Z

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 e24cfe74-01fc-4979-a8b7-4c2e9e93f2b7 · inbound

On the algorithmic construction of deep ReLU networks cites this paper.

On the algorithmic construction of deep ReLU networks Approximation Power of Deep Neural Networks: an explanatory mathematical survey

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T18:46:22.842672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:46:22.842672Z digest=sha256:944b482f7485a733a9e9a43dfb1133c820e668ad4f8f7b38b980a408ccaf021e

Observation ce535809-2a3d-4c79-a89c-c1fbb960c544 · inbound

Fourier Residual Networks Achieve Spectral Accuracy for Discontinuous Functions cites this paper.

Fourier Residual Networks Achieve Spectral Accuracy for Discontinuous Functions Approximation Power of Deep Neural Networks: an explanatory mathematical survey

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:56:29.847832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-07T14:46:38.364502Z digest=sha256:1e205d52eacce7c6b5ad29922992c767ff41c0a916edcbdcf227ff41d929013b