Pith. sign in

Paper Citation Record · LEDGER

Variationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.20065.

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

pith.paper-citation-record.v1
2405.20065 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:31:32.009456Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:02:23.096792Z

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 7277b283-dbed-4ac6-b432-f79c9e50ff2f · inbound

Stabilizing and Solving Unique Continuation Problems by Parameterizing Data and Learning Finite Element Solution Operators cites this paper.

Stabilizing and Solving Unique Continuation Problems by Parameterizing Data and Learning Finite Element Solution Operators Variationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T21:31:32.009456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:31:32.009456Z digest=sha256:e71cda720d5ee046ec43a3a6c524a0364039a09fdc63722e974b8f5a9c0635b5

Observation 76fc6582-676a-4313-a37a-0a1f8b692380 · inbound

A posteriori certification of PDE approximations with particular application to neural networks cites this paper.

A posteriori certification of PDE approximations with particular application to neural networks Variationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:02:23.098920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T01:58:01.191668Z digest=sha256:59396a1cdb312f6d1124cd62c1254f31f0ac476e3b3187ecbd2d0652c9dcfa4b

Observation 0c7d431a-0af3-4965-9a0e-f27533a9092d · inbound

Expansive Natural Neural Gradient Flows for Energy Minimization cites this paper.

Expansive Natural Neural Gradient Flows for Energy Minimization Variationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T16:30:09.943952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:30:09.943952Z digest=sha256:6d5bb6c20be9481836bc0800fdb59b732137eca789b2eca25323a5de76198110