Paper Citation Record · LEDGER

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC

As of 14 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2602.10714.

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

pith.paper-citation-record.v1
2602.10714 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:10:41.013280Z

measured 27 of 27 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T04:13:23.421102Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T15:15:47.755694Z

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 248ac549-238f-43c8-bb44-36fbffcd1680 · outbound

This paper cites an unresolved cited work.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:39.026224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6750d001-d3ec-4404-9c39-0876b90cc23f · outbound

This paper cites Unadjusted Hamiltonian MCMC with stratified Monte Carlo time integration.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Unadjusted Hamiltonian MCMC with stratified Monte Carlo time integration

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:39.080817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47152359-b046-4fb9-9b78-a51ddeb9b6cb · outbound

This paper cites Polar factorization and monotone rearrangement of vector-valued functions.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Polar factorization and monotone rearrangement of vector-valued functions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:39.154456Z

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Unavailable: canonical work link unavailable.

Observation 41c92d62-7aa3-4701-be36-9b14dc1026ee · outbound

This paper cites Carlier, A.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Carlier, A

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:39.260440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation def4f216-fec6-498d-9ffc-3214e89ba7c0 · outbound

This paper cites Hoffman, Daniel Lee, Ben Goodrich, Michael Betancourt, Marcus Brubaker, Jiqiang Guo, Peter Li, and Allen Riddell.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Hoffman, Daniel Lee, Ben Goodrich, Michael Betancourt, Marcus Brubaker, Jiqiang Guo, Peter Li, and Allen Riddell

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:39.332632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb105c5b-9209-4c00-9d19-e6a116869509 · outbound

This paper cites Chatterji, Peter L.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Chatterji, Peter L

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:39.459540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a8b41bf-e5bc-4e15-a67a-870d147e4f12 · outbound

This paper cites Log-concave sampling.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Log-concave sampling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:39.536944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a08805cc-d30c-4324-8c6d-28af5ee25a0a · outbound

This paper cites Air Markov Chain Monte Carlo , January 2018.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Air Markov Chain Monte Carlo , January 2018

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:39.643149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccf8813c-1ed6-48a0-8708-6080eea2c735 · outbound

This paper cites Dalalyan and Avetik G.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Dalalyan and Avetik G

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:39.753731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78f39e8f-74e2-4d8b-a12f-7b7b55d41d07 · outbound

This paper cites Analysis of langevin monte carlo via convex optimization.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Analysis of langevin monte carlo via convex optimization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:39.812502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65119263-9e24-4fd5-a634-f30bf2a98000 · outbound

This paper cites An Adaptive Metropolis Algorithm.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC An Adaptive Metropolis Algorithm

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:39.889188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 443f059e-11bf-4b4a-8f16-98c41995fb1d · outbound

This paper cites Beyond Canonical MCMC : Preconditioning , Adaptivity , and Variational Approximations.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Beyond Canonical MCMC : Preconditioning , Adaptivity , and Variational Approximations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:39.955078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be314d33-8a23-4d7a-b31e-440b1b29998f · outbound

This paper cites Roberts, and Daniel Rudolf.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Roberts, and Daniel Rudolf

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:40.048019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf6464a1-d20d-43f8-ba04-668c8a39e7b8 · outbound

This paper cites an unresolved cited work.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:40.113481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d18b330-363e-4232-8f37-542fc3f526e5 · outbound

This paper cites Concentration of measure and logarithmic Sobolev inequalities.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Concentration of measure and logarithmic Sobolev inequalities

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:40.216669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62d44654-7867-411c-a40a-78daaab5bf41 · outbound

This paper cites Structured Logconcave Sampling with a Restricted Gaussian Oracle.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Structured Logconcave Sampling with a Restricted Gaussian Oracle

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:40.300469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 792bd64d-e81f-4571-a60b-df855b73a440 · outbound

This paper cites Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of \ \ - Mutual Information , June 2025.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of \ \ - Mutual Information , June 2025

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:40.365444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708e70e0-fbb9-429c-a0ad-c5bc5e813ca7 · outbound

This paper cites Fast convergence of \ \ -divergence along the unadjusted langevin algorithm and proximal sampler.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Fast convergence of \ \ -divergence along the unadjusted langevin algorithm and proximal sampler

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:40.446340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2bf7c91-8704-4e7d-b865-f9017565ba7a · outbound

This paper cites On sample complexity for covariance estimation via the unadjusted Langevin algorithm, January 2026.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC On sample complexity for covariance estimation via the unadjusted Langevin algorithm, January 2026

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:40.518870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4de515f8-f930-4814-b7d1-62f7bad3a299 · outbound

This paper cites Optimal Scaling and Shaping of Random Walk Metropolis via Diffusion Limits of Block-I.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Optimal Scaling and Shaping of Random Walk Metropolis via Diffusion Limits of Block-I

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:40.592360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60d8bc97-cce3-47f1-8ea6-7662129352ce · outbound

This paper cites Approximations and Scaling Limits of Markov Chains with Applications to MCMC and Approximate Inference.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Approximations and Scaling Limits of Markov Chains with Applications to MCMC and Approximate Inference

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:40.660173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93b5ec44-5a71-4bd4-ad41-3d42ba8f773c · outbound

This paper cites an unresolved cited work.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:40.738491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51a45411-5b08-445c-83fa-4129b12bf423 · outbound

This paper cites an unresolved cited work.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:40.808794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35c63e91-c890-4933-80ad-3281799e79ff · outbound

This paper cites Optimal Preconditioning and Fisher Adaptive Langevin Sampling.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Optimal Preconditioning and Fisher Adaptive Langevin Sampling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:40.864663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d40d28c4-bf74-43ac-8faa-fb620d33f954 · outbound

This paper cites High-Dimensional Probability: An Introduction with Applications in Data Science , volume 47.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC High-Dimensional Probability: An Introduction with Applications in Data Science , volume 47

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:40.954186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0faa2a16-4f24-4d7f-b876-0bd3cce7ca3e · outbound

This paper cites Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling.

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T01:10:41.013280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b8233641-fafe-4c49-a2d5-133987ae06a7 · inbound

Error bounds for simultaneous Wasserstein contractive adaptive increasingly rare MCMC cites this paper.

Error bounds for simultaneous Wasserstein contractive adaptive increasingly rare MCMC A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-01T15:15:47.760245Z

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.