Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 22 of 22 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 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:44:57.416242Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

22 of 22 outbound references displayed

verified exact0
verified fuzzy19
unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2370dd3e-a85a-4bc1-8a52-dda14e89c295 · outbound

This paper cites Atchad´ e.

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

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.762677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c145bd4a-9ca3-45a6-813f-ba0fb857a577 · outbound

This paper cites On the ergodicity properties of some adaptive MCMC algorithms.

Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo On the ergodicity properties of some adaptive MCMC algorithms

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.748061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 32b60e18-97ce-4853-8ebc-ea3210d333a5 · outbound

This paper cites Subexponential lower bounds for f-ergodic Markov processes.

Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo Subexponential lower bounds for f-ergodic Markov processes

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.733128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 077c7e76-c6b5-4cc3-9812-09b7ebdb5dcb · outbound

This paper cites Practical drift conditions for subgeometric rates of convergence.

Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo Practical drift conditions for subgeometric rates of convergence

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.717904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23d9cdfc-4575-4171-b4d8-4d7ef3da8148 · outbound

This paper cites Real analysis and probability.

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

Reference 5

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Source-reported events for the cited work

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Observation 0bf54b7b-2114-4a0a-aa63-4c93b813ed24 · outbound

This paper cites Subgeometric rates of convergence in Wasserstein distance for Markov chains.

Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo Subgeometric rates of convergence in Wasserstein distance for Markov chains

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.692979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 295ac60f-eab4-4e76-86bc-393c110771ce · outbound

This paper cites V-subgeometric ergodicity for a Hast- ings–Metropolis algorithm.

Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo V-subgeometric ergodicity for a Hast- ings–Metropolis algorithm

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.678340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 053209cb-1c00-47ff-be43-e47ea4c8af6f · outbound

This paper cites An adaptive Metropolis algorithm.

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

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.663801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 811a0cf1-87d0-45b3-9094-e4115dd8c630 · outbound

This paper cites How hot can a heat bath get? Communications in Mathematical Physics, 292(1):131–177, 2009.

Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo How hot can a heat bath get? Communications in Mathematical Physics, 292(1):131–177, 2009

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.649276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1388091f-e9be-49fa-a598-c4661a1087d2 · outbound

This paper cites an unresolved cited work.

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

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:44:57.634661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 88caf811-8df6-4838-9ddc-f9e6171f452a · outbound

This paper cites Jarner and Gareth O.

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

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.620155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 419caf34-77ca-4ae3-99ca-9800bc7121f6 · outbound

This paper cites Metropolis–Hastings algorithms with acceptance ratios of nearly.

Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo Metropolis–Hastings algorithms with acceptance ratios of nearly

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.605972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cd67242f-b6cb-497e-8939-c7939f7a84a1 · outbound

This paper cites an unresolved cited work.

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

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:44:57.591706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68d8927b-1265-4f50-b1a9-342bb0dbe4db · outbound

This paper cites Kuratowski and C.

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

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.576858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4f5278b6-c873-44ac-bdf7-06c0b8c052a2 · outbound

This paper cites An invitation to adaptive Markov chain Monte Carlo convergence theory, 2024.

Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo An invitation to adaptive Markov chain Monte Carlo convergence theory, 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.560860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 626e7e08-e27e-448c-a717-08cd046e4ae8 · outbound

This paper cites A framework for adaptive MCMC targeting multimodal distributions.

Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo A framework for adaptive MCMC targeting multimodal distributions

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.546337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07573e20-772f-4e02-8602-c758c8ed9099 · outbound

This paper cites Roberts and Jeffrey S.

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

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.530859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 37499fd3-026c-4176-a809-6096737c5dd8 · outbound

This paper cites Subexponential upper and lower bounds in Wasserstein distance for Markov processes.

Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo Subexponential upper and lower bounds in Wasserstein distance for Markov processes

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.514465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44db9cf0-7768-4aef-8af5-245edea6da0d · outbound

This paper cites Schmidler and Dawn B.

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

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.498512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 328950f0-8dcf-45c1-b3d7-60b8f97e6b84 · outbound

This paper cites Strassen.

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

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.483002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f75bad45-2160-4518-a8c9-e48fa72d3098 · outbound

This paper cites Topics in Optimal Transportation.

Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo Topics in Optimal Transportation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.467781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 23793c50-1dbe-4be9-9091-519a025d9f31 · outbound

This paper cites Berlin: Springer, 2009.

Upper and lower bounds on the subgeometric convergence of adaptive Markov chain Monte Carlo Berlin: Springer, 2009

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:44:57.452163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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 2026-08-20T06:33:59.587034+00:00.

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.