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Paper Citation Record · LEDGER

A Priori Analysis of Stable Neural Network Solutions to Numerical PDEs

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.02903.

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

pith.paper-citation-record.v1
2104.02903 v4

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:40:19.789185Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:19:26.635633Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 a92c0a2b-7253-43dc-ac23-e2f57b332c15 · inbound

Error Analysis of the Deep Mixed Residual Method for High-order Elliptic Equations cites this paper.

Error Analysis of the Deep Mixed Residual Method for High-order Elliptic Equations A Priori Analysis of Stable Neural Network Solutions to Numerical PDEs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T15:40:19.789185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:40:19.789185Z digest=sha256:1a5064655259fc2620f6369a7353898e695613f105a3fa83ad2d1b7993d44daa

Observation dfed3e11-0a2a-4702-8351-6d0269e5bb45 · inbound

PINN-DG: Residual neural network methods trained with Finite Elements cites this paper.

PINN-DG: Residual neural network methods trained with Finite Elements A Priori Analysis of Stable Neural Network Solutions to Numerical PDEs

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:19:26.853638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T20:19:23.055752Z digest=sha256:2a71022a3e44f96ed550408d6a0022a139c133fd4fb4d210582b988ae2816267