Paper Citation Record · LEDGER

A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2304.14994.

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

pith.paper-citation-record.v1
2304.14994 v2

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:00:39.893258Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:09:51.386069Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 177a5433-902a-43dd-9757-99ae4ab2eee1 · inbound

Sequential data assimilation for PDEs using shape-morphing solutions cites this paper.

Sequential data assimilation for PDEs using shape-morphing solutions A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T13:00:39.893258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c40f6ac6-5ac7-4706-9ff6-36d1c144a834 · inbound

PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations cites this paper.

PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T20:11:37.728314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd4e13ef-e311-4857-9410-78f0e3ba41d1 · inbound

A Dirac-Frenkel-Onsager principle: Instantaneous residual minimization with gauge momentum for nonlinear parametrizations of PDE solutions cites this paper.

A Dirac-Frenkel-Onsager principle: Instantaneous residual minimization with gauge momentum for nonlinear parametrizations of PDE solutions A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:31:14.555956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 27dfe3ed-2493-4368-bb32-bb97cdb14d15 · inbound

Zero-Shot Size Transfer for Neural ODEs on Sparse Random Graphs: Graphon Limits and Adjoint Convergence cites this paper.

Zero-Shot Size Transfer for Neural ODEs on Sparse Random Graphs: Graphon Limits and Adjoint Convergence A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:09:51.387868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.