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Paper Citation Record · LEDGER

Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.19256.

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

pith.paper-citation-record.v1
2405.19256 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:35:00.606746Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:21:04.153156Z

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 66e4aa0f-acba-4990-a7cf-792920213852 · inbound

Generating Samples of Stationary Distributions of Weakly Interacting Diffusion Models Without Finite Particle Truncation: A Weak Generative Approach cites this paper.

Generating Samples of Stationary Distributions of Weakly Interacting Diffusion Models Without Finite Particle Truncation: A Weak Generative Approach Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T16:35:00.606746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:35:00.606746Z digest=sha256:8ea18d393f9115990f10508d6aea68523fb43e1a56c8960b597f1efa00335e2f

Observation 6720e5f0-ff91-4850-ad64-3ce5d5ec13ec · inbound

Adaptive Probability Flow Residual Minimization for High-Dimensional Fokker-Planck Equations cites this paper.

Adaptive Probability Flow Residual Minimization for High-Dimensional Fokker-Planck Equations Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T14:49:22.714529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:49:22.714529Z digest=sha256:11d4e38bfd7f35e34e122a279ca4c1abb2f22ab2a9fadb267a113bcc3405e8b3

Observation 6e42e5b7-c159-4ece-9469-07340d77e89b · inbound

Generative Path-Finding Method for Wasserstein Gradient Flow cites this paper.

Generative Path-Finding Method for Wasserstein Gradient Flow Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:21:04.155551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:31:38.714417Z digest=sha256:97f30f4ba385aab90b4deef0942f211503f2f5c98e2c2ae58aac1418358bc2f7