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Paper Citation Record · LEDGER

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure

As of 16 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:1908.09429.

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

pith.paper-citation-record.v1
1908.09429 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:18:05.011117Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:51:29.755970Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T10:51:29.796805Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact4
  • verified fuzzy28
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e01d8199-53ee-4c6a-a50d-93be54e66652 · outbound

This paper cites Agapiou, O.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Agapiou, O

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 80c44bfa-d709-4f26-8eb0-24ebb2d16dc6 · outbound

This paper cites an unresolved cited work.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-14T11:18:05.839481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b794bfb2-c663-4d3c-bf14-2d2dfe618c2a · outbound

This paper cites Scalable optimization-based sampling on function space.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Scalable optimization-based sampling on function space

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:18:05.130056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7de6b64d-27d0-4470-a841-3ae56bb58169 · outbound

This paper cites an unresolved cited work.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 4

Resolution
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raw_fallback, observed 2026-08-14T11:18:05.824847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d072eb6b-66cb-4560-a0e5-bbe54b9e99a9 · outbound

This paper cites B´ edard.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure B´ edard

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3b291d66-706c-4647-96a2-de11fc08a628 · outbound

This paper cites Beskos, N.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Beskos, N

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ca219007-b39d-4372-b444-5b02ede87320 · outbound

This paper cites Beskos, G.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Beskos, G

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ba6e2296-8d64-4e0e-adff-c49486207da4 · outbound

This paper cites A stable manifold MCMC method for high dimensions.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure A stable manifold MCMC method for high dimensions

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation eed3e83c-00e8-46df-9ac6-702da9af5e8d · outbound

This paper cites Bui-Thanh, O.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Bui-Thanh, O

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 76f91a6e-7905-46ec-a0f8-020de8d52f08 · outbound

This paper cites Chen and A.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Chen and A

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation dc3b273f-b55d-4f6b-9638-292889b4a1b4 · outbound

This paper cites Chen and A.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Chen and A

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d8f6762d-4f88-4a2f-a5be-fddfceef217f · outbound

This paper cites Spatial localization for nonlinear dynamical stochastic models for excitable media.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Spatial localization for nonlinear dynamical stochastic models for excitable media

Reference 12

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6391ae1f-13aa-4633-97c0-bd067fbdedd6 · outbound

This paper cites an unresolved cited work.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 13

Resolution
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raw_fallback, observed 2026-08-14T11:18:05.704523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c22ff39c-44e7-4e0f-97e5-d471c4b5f2b7 · outbound

This paper cites Accelerated dimension- independent adaptive Metropolis.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Accelerated dimension- independent adaptive Metropolis

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d2f59a67-082f-4767-ad30-998fda26f4c9 · outbound

This paper cites Chorin and O.H.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Chorin and O.H

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a959c56a-9e3d-4537-8261-2e6722cb6a3e · outbound

This paper cites an unresolved cited work.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation d9b47a4e-533f-421e-9a50-20216ad13eb1 · outbound

This paper cites an unresolved cited work.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 76c4d606-beca-48d0-a616-4dfc0d9127f3 · outbound

This paper cites an unresolved cited work.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 0cf41709-6d34-4ce2-b20c-71269b03bc2d · outbound

This paper cites an unresolved cited work.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ff700a23-335e-4efd-934f-6ef822a7c816 · outbound

This paper cites Dashti and A.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Dashti and A

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f4d0070a-a7c0-4b4e-bdc3-74b87ed4f522 · outbound

This paper cites Edwards, Jonathan Goodman, and Alan D.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Edwards, Jonathan Goodman, and Alan D

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 91d75d84-9352-4250-aa44-f05975cc8ad9 · outbound

This paper cites Fox and A.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Fox and A

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 02cd8dcc-49e8-41f2-9378-f1548b1f41e4 · outbound

This paper cites Girolami and B.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Girolami and B

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 671232c8-f1d7-4c86-b1f6-565510acdfee · outbound

This paper cites Random-walk interpretations of classical iteration methods.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Random-walk interpretations of classical iteration methods

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3f12939b-17f8-4116-ab80-9ec37160e043 · outbound

This paper cites an unresolved cited work.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 7efdf9ab-1726-4585-bf0a-072242783047 · outbound

This paper cites an unresolved cited work.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-14T11:18:05.496372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 69728a3a-7247-40b8-bc42-efe60f030673 · outbound

This paper cites Hairer, A.M.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Hairer, A.M

Reference 27

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8a2a5814-968d-45d4-b3ed-edfaca06130d · outbound

This paper cites an unresolved cited work.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:18:05.461907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 541627ef-8f2c-402c-bfba-3509b80380a5 · outbound

This paper cites Adaptive dimension reduction to accelerate infinite-dimensional geometric Markov chain Monte Carlo.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Adaptive dimension reduction to accelerate infinite-dimensional geometric Markov chain Monte Carlo

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3654d2c7-3cff-406d-8588-faf1c3f3149a · outbound

This paper cites Graphical models, volume 17.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Graphical models, volume 17

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 308c0442-1db5-472d-8d0a-788412acca15 · outbound

This paper cites Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equations

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:18:05.083057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6b24b587-f1cd-4388-abc7-53bf7b7df3e6 · outbound

This paper cites Møller, A.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Møller, A

Reference 32

Resolution
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raw_fallback, observed 2026-08-14T11:18:05.417218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3e4fc086-9bab-4bc2-a91b-dc02cc6c3ba6 · outbound

This paper cites Morzfeld, X.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Morzfeld, X

Reference 33

Resolution
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raw_fallback, observed 2026-08-14T11:18:05.401446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation abb7eda5-114b-4e54-a152-dbdf5c52db2b · outbound

This paper cites Morzfeld, X.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Morzfeld, X

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:18:05.387089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 406008f0-e909-4fa4-95cc-6a7b8facbffa · outbound

This paper cites Moselhy and Y.M.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Moselhy and Y.M

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:18:05.372626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e9491edc-fd39-40b6-a1c9-3127c9ae7380 · outbound

This paper cites Neal and G.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Neal and G

Reference 36

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This paper cites an unresolved cited work.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 37

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MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 38

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This paper cites Ottobre, Pillai N.S., Pinski F.J., and A.M.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Ottobre, Pillai N.S., Pinski F.J., and A.M

Reference 39

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This paper cites Petra, J.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Petra, J

Reference 40

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MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Reich and C

Reference 41

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MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 42

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MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 43

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This paper cites On a generalization of the preconditioned crank–nicolson metropolis algorithm.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure On a generalization of the preconditioned crank–nicolson metropolis algorithm

Reference 44

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MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 45

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This paper cites Spantini, D.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Spantini, D

Reference 46

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This paper cites Spantini, A.

MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Spantini, A

Reference 47

Resolution
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MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 48

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MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Unresolved cited work

Reference 49

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MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure Certified dimension reduction in nonlinear Bayesian inverse problems

Reference 50

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Pith citing papers

Observation 389976db-e7a8-42a8-abaa-37eee006f9b5 · inbound

Analysis of a localised nonlinear Ensemble Kalman Bucy Filter with complete and accurate observations cites this paper.

Analysis of a localised nonlinear Ensemble Kalman Bucy Filter with complete and accurate observations MALA-within-Gibbs samplers for high-dimensional distributions with sparse conditional structure

Reference 31

Resolution
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