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Paper Citation Record · LEDGER

Nonlinear Monte Carlo methods with polynomial runtime for high-dimensional iterated nested expectations

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.13989.

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

pith.paper-citation-record.v1
2009.13989 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:06:57.172342Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:11:04.428721Z

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 d79dcab7-2dbe-49ee-a009-5f062029d9ed · inbound

Deep neural networks can provably solve Bellman equations for Markov decision processes without the curse of dimensionality cites this paper.

Deep neural networks can provably solve Bellman equations for Markov decision processes without the curse of dimensionality Nonlinear Monte Carlo methods with polynomial runtime for high-dimensional iterated nested expectations

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T22:06:57.172342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:06:57.172342Z digest=sha256:99f47c448c0cc655631ad1c1b5302f8be8501e7a06065783f901e65f71a038b3

Observation 7f34027c-5b85-4aa0-b1bd-b1ce36bf5a92 · inbound

Monte Carlo PDE Solvers for Nonlinear Radiative Boundary Conditions cites this paper.

Monte Carlo PDE Solvers for Nonlinear Radiative Boundary Conditions Nonlinear Monte Carlo methods with polynomial runtime for high-dimensional iterated nested expectations

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:11:04.430743Z

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.

source=arxiv_source observed=2026-05-09T23:22:40.283140Z digest=sha256:49112815561ebdfdccee8e8de3bf3a9e52c72ae31610c920993c82e8e5955f07