Paper Citation Record · LEDGER

A Theoretical Analysis of Deep Neural Networks and Parametric PDEs

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1904.00377.

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

pith.paper-citation-record.v1
1904.00377 v3

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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:09:59.963773Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T16:06:15.537801Z

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 6700ef96-9487-4d65-a60c-c777af57e341 · inbound

Space-time error estimates for deep neural network approximations for differential equations cites this paper.

Space-time error estimates for deep neural network approximations for differential equations A Theoretical Analysis of Deep Neural Networks and Parametric PDEs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:59.963773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36331dd0-55cc-49ee-aba1-dbc6c841feb8 · inbound

Deep neural network approximations for Monte Carlo algorithms cites this paper.

Deep neural network approximations for Monte Carlo algorithms A Theoretical Analysis of Deep Neural Networks and Parametric PDEs

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T10:39:29.614742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a48a486-ee71-466c-8262-b9c68b33c3e3 · inbound

ChebNet: Efficient and Stable Constructions of Deep Neural Networks with Rectified Power Units via Chebyshev Approximations cites this paper.

ChebNet: Efficient and Stable Constructions of Deep Neural Networks with Rectified Power Units via Chebyshev Approximations A Theoretical Analysis of Deep Neural Networks and Parametric PDEs

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-24T16:06:15.541298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee3f57ae-813e-439f-8a32-85e3088e2123 · inbound

Reduced Order Models and Conditional Expectation -- Analysing Parametric Low-Order Approximations cites this paper.

Reduced Order Models and Conditional Expectation -- Analysing Parametric Low-Order Approximations A Theoretical Analysis of Deep Neural Networks and Parametric PDEs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T06:00:02.915517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.