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Paper Citation Record · LEDGER

Partitioned neural network approximation for partial differential equations enhanced with Lagrange multipliers and localized loss functions

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.14370.

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

pith.paper-citation-record.v1
2312.14370 v1

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:20:12.035696Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 635e819e-592f-4f3d-99f7-8ffa9b3b8127 · inbound

Domain decomposition of large neural network surrogate models cites this paper.

Domain decomposition of large neural network surrogate models Partitioned neural network approximation for partial differential equations enhanced with Lagrange multipliers and localized loss functions

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T17:20:12.035696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:20:12.035696Z digest=sha256:7d86f3834f696f8870ed018e92f477b0c1558edf34e871c1724def43c5480c73

Observation f1543d4b-442d-43d9-b075-164f33706cc7 · inbound

Domain-Decomposition Neural Surrogates for Scalable Decentralized Ensemble Kalman Filter Based Parameter Identification in High-Dimensional Stochastic PDEs cites this paper.

Domain-Decomposition Neural Surrogates for Scalable Decentralized Ensemble Kalman Filter Based Parameter Identification in High-Dimensional Stochastic PDEs Partitioned neural network approximation for partial differential equations enhanced with Lagrange multipliers and localized loss functions

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-07-31T18:46:26.538014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-31T18:44:16.749529Z digest=sha256:571583d1139864faa55ea598b5e8406ca788432b1cd7033a1a80ef51dd0e27f4