Paper Citation Record · LEDGER

Particle-MALA and Particle-mGRAD: Gradient-based MCMC methods for high-dimensional state-space models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.14868.

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

pith.paper-citation-record.v1
2401.14868 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:34:35.874068Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5ce8f473-5ea3-459f-bab2-81b90073f885 · inbound

A convergent scheme for the Bayesian filtering problem based on the Fokker--Planck equation and deep splitting cites this paper.

A convergent scheme for the Bayesian filtering problem based on the Fokker--Planck equation and deep splitting Particle-MALA and Particle-mGRAD: Gradient-based MCMC methods for high-dimensional state-space models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:03:26.562171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2e37466b-0394-4799-8479-734d519f86b8 · inbound

Particle Gibbs without the Gibbs bit cites this paper.

Particle Gibbs without the Gibbs bit Particle-MALA and Particle-mGRAD: Gradient-based MCMC methods for high-dimensional state-space models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T23:34:35.874068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 356038ed-4684-41e6-9f37-a00f3e87e61c · inbound

Nonlinear filtering based on density approximation and deep BSDE prediction cites this paper.

Nonlinear filtering based on density approximation and deep BSDE prediction Particle-MALA and Particle-mGRAD: Gradient-based MCMC methods for high-dimensional state-space models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T23:16:53.690183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 561cfb43-db50-42c2-88bc-00ee5043adb5 · inbound

A Bayesian spatio-temporal nearest neighbor Gaussian process model for pooled genetic data cites this paper.

A Bayesian spatio-temporal nearest neighbor Gaussian process model for pooled genetic data Particle-MALA and Particle-mGRAD: Gradient-based MCMC methods for high-dimensional state-space models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-26T16:49:36.074403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.