Paper Citation Record · LEDGER

Solving the Kolmogorov PDE by means of deep learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1806.00421.

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

pith.paper-citation-record.v1
1806.00421 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 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:09:59.829545Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:03:26.554328Z

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 aa5397f1-36ce-4dd3-a889-85795953e213 · inbound

Space-time error estimates for deep neural network approximations for differential equations cites this paper.

Space-time error estimates for deep neural network approximations for differential equations Solving the Kolmogorov PDE by means of deep learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:59.829545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3badd1d-252d-4ff8-afba-4d1454903a24 · inbound

Deep neural network approximations for Monte Carlo algorithms cites this paper.

Deep neural network approximations for Monte Carlo algorithms Solving the Kolmogorov PDE by means of deep learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T10:39:29.503243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56b25853-d052-44e2-b643-1c8da1a8f9c5 · 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 Solving the Kolmogorov PDE by means of deep learning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:03:26.557078Z

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.

Observation 91849f2d-090f-43d6-96da-8f404efd3dba · inbound

PDE-DKL: PDE-constrained deep kernel learning in high dimensionality cites this paper.

PDE-DKL: PDE-constrained deep kernel learning in high dimensionality Solving the Kolmogorov PDE by means of deep learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T00:14:36.541774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.