Paper Citation Record · LEDGER

The Random Feature Method for Time-dependent Problems

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2304.06913.

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

pith.paper-citation-record.v1
2304.06913 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:18:12.285708Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T09:03:15.602321Z

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 8670a177-b350-41d4-9e3a-2b31b947cbf0 · inbound

Runge-Kutta Random Feature Method for Solving Multiphase Flow Problems of Cells cites this paper.

Runge-Kutta Random Feature Method for Solving Multiphase Flow Problems of Cells The Random Feature Method for Time-dependent Problems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T20:18:12.285708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 915cd7fb-b22b-4a2b-9b7d-4748c4dc18fb · inbound

Adaptive feature capture method for solving partial differential equations with near singular solutions cites this paper.

Adaptive feature capture method for solving partial differential equations with near singular solutions The Random Feature Method for Time-dependent Problems

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T16:40:20.718959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72fdbe28-871e-4897-8bb4-ef6ca580a230 · inbound

CLINN: Conservation Law Informed Neural Network for Approximating Discontinuous Solutions cites this paper.

CLINN: Conservation Law Informed Neural Network for Approximating Discontinuous Solutions The Random Feature Method for Time-dependent Problems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T11:58:19.993179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17f7a18f-97a0-47f9-913d-0fed6e9a8547 · inbound

A Discrete-Time Random Feature Method for Nonlinear Evolution Equations with Implicit-Explicit Runge--Kutta Time Stepping cites this paper.

A Discrete-Time Random Feature Method for Nonlinear Evolution Equations with Implicit-Explicit Runge--Kutta Time Stepping The Random Feature Method for Time-dependent Problems

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:11:14.261037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bfd82ec2-634b-40f7-9902-5db68fcbecfe · inbound

A Novel Tensor Product-Based Neural Network for Solving Partial Differential Equations cites this paper.

A Novel Tensor Product-Based Neural Network for Solving Partial Differential Equations The Random Feature Method for Time-dependent Problems

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:03:15.603812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 80194a85-aaff-402d-b71f-0c1e5907e695 · inbound

Multi-Scale Separable Fourier Neural Networks for Solving High-Frequency PDEs cites this paper.

Multi-Scale Separable Fourier Neural Networks for Solving High-Frequency PDEs The Random Feature Method for Time-dependent Problems

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:49.783069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.