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Paper Citation Record · LEDGER

Skew-symmetric schemes for stochastic differential equations with non-Lipschitz drift: an unadjusted Barker algorithm

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.14373.

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

pith.paper-citation-record.v1
2405.14373 v4

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:59:07.144983Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T17:01:19.781339Z

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 b4dbedd1-a2e7-4a82-b128-acc6e9f22882 · inbound

Langevin Monte Carlo Beyond Lipschitz Gradient Continuity cites this paper.

Langevin Monte Carlo Beyond Lipschitz Gradient Continuity Skew-symmetric schemes for stochastic differential equations with non-Lipschitz drift: an unadjusted Barker algorithm

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-11T17:01:19.787908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T17:01:19.692960Z digest=sha256:70d936842297fc5a475a8e4baa92cf65933fa78b5c714f3c49527dd33b4a72b2

Observation 8d347478-ee36-49eb-95dd-3c3b0ad21f0b · inbound

Diffusion piecewise exponential models for survival extrapolation using Piecewise Deterministic Monte Carlo cites this paper.

Diffusion piecewise exponential models for survival extrapolation using Piecewise Deterministic Monte Carlo Skew-symmetric schemes for stochastic differential equations with non-Lipschitz drift: an unadjusted Barker algorithm

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T22:59:07.144983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:59:07.144983Z digest=sha256:fcaa514f0d4bfbac7a86ea8aeda3527676d23c741d51d1e90d1e79965bdf782f