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Paper Citation Record · LEDGER

Neural networks-based algorithms for stochastic control and PDEs in finance

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2101.08068.

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

pith.paper-citation-record.v1
2101.08068 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:46.707687Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T00:04:06.964986Z

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 c6f884ec-3251-4ed8-b562-d9d75afafbb4 · inbound

Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations cites this paper.

Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations Neural networks-based algorithms for stochastic control and PDEs in finance

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-24T09:39:17.242651Z

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=2026-05-24T09:36:59.102360Z digest=sha256:bf0033d9b31e7e804cc1329db79aecca9b8644148801c52b97bd3a6c1af35ed8

Observation b98df68c-2b2a-41b3-a57d-224ef7e77707 · inbound

P1-KAN: an effective Kolmogorov-Arnold network with application to hydraulic valley optimization cites this paper.

P1-KAN: an effective Kolmogorov-Arnold network with application to hydraulic valley optimization Neural networks-based algorithms for stochastic control and PDEs in finance

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T19:55:47.213876Z

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=2026-05-23T19:55:26.613144Z digest=sha256:009c4a2c6751437762173738a3ac8efb0c086bb756afcfa246d859921aa56fa0

Observation 40721e7e-24dd-4a0c-856e-320d5fdbda52 · inbound

PADAM: Parallel averaged Adam reduces the error for stochastic optimization in scientific machine learning cites this paper.

PADAM: Parallel averaged Adam reduces the error for stochastic optimization in scientific machine learning Neural networks-based algorithms for stochastic control and PDEs in finance

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:46.707687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:46.707687Z digest=sha256:ec82f7eeb1c33a163934034edd28b0980fae36c986ea60b7b73ed7c6ff27caae

Observation adc2595d-726a-4179-8fb5-955c5d65192f · inbound

Random Neural Network Expressivity for Non-Linear Partial Differential Equations cites this paper.

Random Neural Network Expressivity for Non-Linear Partial Differential Equations Neural networks-based algorithms for stochastic control and PDEs in finance

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T00:04:06.966533Z

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=2026-06-29T23:47:02.293881Z digest=sha256:4407771047a25cf7a527e7f2e389d4bb9fb741c5e9a418bb946b73d9fddf57a3

Observation 92e5eb7c-c1f2-4c93-87ff-80be08645ed7 · inbound

Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis cites this paper.

Neural feedback approximation for stochastic control with degenerate diffusions: error estimates and numerical analysis Neural networks-based algorithms for stochastic control and PDEs in finance

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-14T13:09:37.388826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T13:09:37.388826Z digest=sha256:fc7c2149e4d90657cd44dfccea2ad19b2ed753a6efbd21d4f775100ce50ff922