Pith. sign in

Paper Citation Record · LEDGER

Error Analysis of Deep Ritz Methods for Elliptic Equations

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.14478.

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

pith.paper-citation-record.v1
2107.14478 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 2026-08-11T18:41:00.684834Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:37:42.995186Z

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 ff80adea-cb0f-4b04-91fc-74a115bc14df · inbound

Solving the Poisson Equation with Dirichlet data by shallow ReLU$^\alpha$-networks: A regularity and approximation perspective cites this paper.

Solving the Poisson Equation with Dirichlet data by shallow ReLU$^\alpha$-networks: A regularity and approximation perspective Error Analysis of Deep Ritz Methods for Elliptic Equations

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T18:41:00.684834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:41:00.684834Z digest=sha256:8a4439095ee84fe92c39d175eed28da8075c61b52201e41f05d01547030dc189

Observation 721db7be-ed5a-4c5d-ad88-9cf889ac6863 · inbound

An Imbalanced Learning-based Sampling Method for Physics-informed Neural Networks cites this paper.

An Imbalanced Learning-based Sampling Method for Physics-informed Neural Networks Error Analysis of Deep Ritz Methods for Elliptic Equations

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:37:43.003608Z

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=2026-08-10T18:37:42.784017Z digest=sha256:800ee374e319fcf6671acb3b1d0e74b821a4ea165969ea9711233cb7535e219a