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Paper Citation Record · LEDGER

Numerical simulations for full history recursive multilevel Picard approximations for systems of high-dimensional partial differential equations

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2005.10206.

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

pith.paper-citation-record.v1
2005.10206 v2

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 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:36:52.711223Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:59:40.326848Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
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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 fc545036-8e89-4663-b963-e1e97e68a176 · inbound

Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators cites this paper.

Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators Numerical simulations for full history recursive multilevel Picard approximations for systems of high-dimensional partial differential equations

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T11:36:52.711223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:36:52.711223Z digest=sha256:78ba8c2e3431adaa89911ae52f63512d045ab86968fc2383663d9c108cbe3094

Observation 43b1c912-e7b5-469a-83cb-5d4e4dc36e0b · inbound

Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains cites this paper.

Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains Numerical simulations for full history recursive multilevel Picard approximations for systems of high-dimensional partial differential equations

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:45:58.835376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T16:58:50.605039Z digest=sha256:9894349c45973e7bb0274803d51bde2408a3ce624b150174e7f83c7c2cf1f5b3

Observation 8fc2b635-8d0c-44b6-8395-bd03d858402c · inbound

Parameterized Representations via Implicit Stochastic Modulation for High-Dimensional and High-Order Neural PDE Solvers cites this paper.

Parameterized Representations via Implicit Stochastic Modulation for High-Dimensional and High-Order Neural PDE Solvers Numerical simulations for full history recursive multilevel Picard approximations for systems of high-dimensional partial differential equations

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:59:40.328089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T12:20:25.523371Z digest=sha256:38475cfc6b3330cd074bf483dc55b5a454d2efbdff87aac7815f3233f9f386d8