Paper Citation Record · LEDGER

Deep Picard Iteration for High-Dimensional Nonlinear PDEs

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.08526.

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

pith.paper-citation-record.v1
2409.08526 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 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T00:10:26.127062Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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malformed identifier0
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External citation measurements

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

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1218922d-5b44-4248-9471-aa7f0d9fd375 · inbound

A convergent scheme for the Bayesian filtering problem based on the Fokker--Planck equation and deep splitting cites this paper.

A convergent scheme for the Bayesian filtering problem based on the Fokker--Planck equation and deep splitting Deep Picard Iteration for High-Dimensional Nonlinear PDEs

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:03:26.591609Z

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.

Observation 3dc93c9f-98d2-4802-9567-959266d4dfd0 · inbound

Nonlinear filtering based on density approximation and deep BSDE prediction cites this paper.

Nonlinear filtering based on density approximation and deep BSDE prediction Deep Picard Iteration for High-Dimensional Nonlinear PDEs

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T23:16:53.683787Z

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.

Observation 33f47dc5-3c4b-48e9-8e8b-bbf7b9f17381 · inbound

Deep-Picard Iteration for Space-time Fractional Diffusion PDEs cites this paper.

Deep-Picard Iteration for Space-time Fractional Diffusion PDEs Deep Picard Iteration for High-Dimensional Nonlinear PDEs

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:51:43.305947Z

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.

Observation 2461ad18-594c-46a6-8685-efb0b1ae87b3 · inbound

A Zeroth-Order Deep Learning Method for Fully Nonlinear Parabolic Partial Differential Equations with Unknown Coefficients cites this paper.

A Zeroth-Order Deep Learning Method for Fully Nonlinear Parabolic Partial Differential Equations with Unknown Coefficients Deep Picard Iteration for High-Dimensional Nonlinear PDEs

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-26T00:18:42.842154Z

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.