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Paper Citation Record · LEDGER

Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.20722.

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

pith.paper-citation-record.v1
2407.20722 v3

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 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:16:15.897605Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:16:16.053397Z

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 c05dee36-8dfe-46cc-aa39-19bb397d6b9e · inbound

Hybrid Population Monte Carlo cites this paper.

Hybrid Population Monte Carlo Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:16:16.061379Z

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=2026-08-11T00:16:15.897605Z digest=sha256:1bfaec9cac8370007ccb402e1db4395a73301eadc22edd82a7ebd92bbe0c3574

Observation f6c92be6-6ba5-409c-98cd-f3353c609e49 · inbound

The Sequential Monte Carlo goes NUTS: Boosting Gravitational-Wave Inference cites this paper.

The Sequential Monte Carlo goes NUTS: Boosting Gravitational-Wave Inference Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-03T12:37:12.085498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:37:12.085498Z digest=sha256:6477fd7faad444141edb0385e94978cec28b7be1d96512292ef87143027889c8

Observation 28f7dc34-16e7-4d45-90d7-4241b30a6775 · inbound

Beyond Gaussian Assumptions: A new robust statistical framework for gravitational-wave data analysis cites this paper.

Beyond Gaussian Assumptions: A new robust statistical framework for gravitational-wave data analysis Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-02T20:55:49.273314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:55:49.273314Z digest=sha256:46fbf153e43cf95b8f6b03458889c9bc668d17718e39db94780c426eb146d8b5