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Paper Citation Record · LEDGER

Approximative Policy Iteration for Exit Time Feedback Control Problems driven by Stochastic Differential Equations using Tensor Train format

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.04465.

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

pith.paper-citation-record.v1
2010.04465 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 2026-08-12T13:03:24.776054Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T16:14:53.806215Z

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 96befd79-66cb-44e7-bb58-8974f21488f5 · inbound

Extensions of the Path-integral formula for computation of Koopman eigenfunctions cites this paper.

Extensions of the Path-integral formula for computation of Koopman eigenfunctions Approximative Policy Iteration for Exit Time Feedback Control Problems driven by Stochastic Differential Equations using Tensor Train format

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T13:03:24.776054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:03:24.776054Z digest=sha256:23058b5a0fb8ac61450f77f1458d6126d8b4ea78d69f971ce7a3616ca5d9f447

Observation 797f1acd-1e57-4122-92ba-4bffec591f91 · inbound

Discovering the Kalman-Bucy-Koopman Filter cites this paper.

Discovering the Kalman-Bucy-Koopman Filter Approximative Policy Iteration for Exit Time Feedback Control Problems driven by Stochastic Differential Equations using Tensor Train format

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:14:53.808244Z

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=pdf_text observed=2026-06-30T04:50:39.134309Z digest=sha256:ddd6862c3a651532e5200ae95cb90be2443dd46988043021d0773a484f67c799