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Paper Citation Record · LEDGER

Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.17084.

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

pith.paper-citation-record.v1
2411.17084 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:40:43.979789Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T08:11:17.259620Z

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 450ef965-f68a-41e5-9103-1d6f7c9ec322 · inbound

Adaptive Generalized Elliptical Slice Sampling cites this paper.

Adaptive Generalized Elliptical Slice Sampling Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-06-23T02:11:56.686518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-22T08:07:51.401166Z digest=sha256:aaff34f2ea452da84d4fe6b7082a3a41580279757b44843f84bd9534f20d58fa

Observation 834591df-be4a-4f61-b6d3-41c24eea1019 · inbound

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach cites this paper.

Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T23:40:43.979789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:40:43.979789Z digest=sha256:0a9f7670ca1db774c7593064aa85bcae9b933d372d6ef170b77b463f5d20b058