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Paper Citation Record · LEDGER

Variance Reduction Applied to Machine Learning for Pricing Bermudan/American Options in High Dimension

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1903.11275.

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

pith.paper-citation-record.v1
1903.11275 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 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:10:51.487319Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T10:39:29.955434Z

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 3701a09a-fd3d-4bf3-8149-075ac5cce6e0 · inbound

Solving high-dimensional optimal stopping problems using deep learning cites this paper.

Solving high-dimensional optimal stopping problems using deep learning Variance Reduction Applied to Machine Learning for Pricing Bermudan/American Options in High Dimension

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-14T15:10:51.487319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:10:51.487319Z digest=sha256:a4d3890be1337c98eb8c99e20b4368b837133372e8b1b44005445f6b09edfaab

Observation 22cf2e73-b51e-410a-b343-41ff2b915788 · 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 Variance Reduction Applied to Machine Learning for Pricing Bermudan/American Options in High Dimension

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T14:09:59.904352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:09:59.904352Z digest=sha256:e07b655642c1740cae70c02c28ff736c54b8f6e6df39bd4c1a8ebe1cf518f27a

Observation 027e878c-9fc9-4f0d-9bbb-9b13758a39de · inbound

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

Deep neural network approximations for Monte Carlo algorithms Variance Reduction Applied to Machine Learning for Pricing Bermudan/American Options in High Dimension

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:39:29.959323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:39:29.561147Z digest=sha256:e83ec129df04fc75f82dcf81477c08e24a136ae544bb6498c4481a496b8e091b