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Paper Citation Record · LEDGER

Neural Jump Stochastic Differential Equations

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.10403.

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

pith.paper-citation-record.v1
1905.10403 v3

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:31:11.376170Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T03:17:25.338061Z

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 641839ea-c616-46e3-93cf-b05430c05e90 · inbound

DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators cites this paper.

DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Neural Jump Stochastic Differential Equations

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T03:17:25.342012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T03:17:25.281108Z digest=sha256:d05d11027bbd44892abb4b7d7560948920dcf11b3496ec8d7a424be54920da5b

Observation ea5e0d20-d116-4367-a00c-99500bd4c5a0 · inbound

Improving the Noise Estimation of Latent Neural Stochastic Differential Equations cites this paper.

Improving the Noise Estimation of Latent Neural Stochastic Differential Equations Neural Jump Stochastic Differential Equations

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T05:31:11.376170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:31:11.376170Z digest=sha256:af37ae19bcf250ad3c62a591f11456b73db9e939c6aeff12c78dbe77837d764b