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Paper Citation Record · LEDGER

Multilevel Picard approximations for McKean-Vlasov stochastic differential equations with nonconstant diffusion

As of 9 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2502.03205.

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

pith.paper-citation-record.v1
2502.03205 v3

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:41:44.238116Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b94c8f4-0f87-4872-82ed-b58ef6403dfd · outbound

This paper cites A., Bonilla, L.

Multilevel Picard approximations for McKean-Vlasov stochastic differential equations with nonconstant diffusion A., Bonilla, L

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-08-09T05:41:44.631925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T05:41:44.212133Z digest=sha256:4e94b51393dea7087fbd3d10ec42c0f49d254827b0bc70b51d862020c4768639

Observation 89a5931a-39fe-4445-b79a-d1a8f919247d · outbound

This paper cites Multilevel Picard approximations for high-dimensional semilinear second-order PDEs with Lipschitz nonlinearities.

Multilevel Picard approximations for McKean-Vlasov stochastic differential equations with nonconstant diffusion Multilevel Picard approximations for high-dimensional semilinear second-order PDEs with Lipschitz nonlinearities

Reference 1057

Resolution
unresolved
no resolver link, observed 2026-08-09T05:41:44.238116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:41:44.238116Z digest=sha256:59141c4f997eb7fa063503bf831f122073f6de7bf2d3cd69f8664901f1b8029a

Observation 0209bb87-7851-4da1-b813-c37f7a46a952 · outbound

This paper cites Wellposedness, exponential ergodicity and numerical approximation of fully super-linear McKean--Vlasov SDEs and associated particle systems.

Multilevel Picard approximations for McKean-Vlasov stochastic differential equations with nonconstant diffusion Wellposedness, exponential ergodicity and numerical approximation of fully super-linear McKean--Vlasov SDEs and associated particle systems

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-09T05:41:44.231611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:41:44.231611Z digest=sha256:fd4edcbd69b125690aafca43a17fa2b4fb219199e12dce3a305a5f3f1ac50c96

Observation 0036bd1b-60d0-4d53-9a85-3a79e2bd562f · outbound

This paper cites Mathematics and Financial Economics 12(2018), 335–363.

Multilevel Picard approximations for McKean-Vlasov stochastic differential equations with nonconstant diffusion Mathematics and Financial Economics 12(2018), 335–363

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T05:41:44.657026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T05:41:44.219588Z digest=sha256:13db3aa8398ff0215d8a6d7d216e3071d9a99ad862e14ffcab93f95bedfd19fd

Pith citing papers

No inbound Pith citation observations are available.