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Paper Citation Record · LEDGER

Credible rectangles for high-dimensional posterior comparison

As of 22 July 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2605.30072.

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

pith.paper-citation-record.v1
2605.30072 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T05:59:58.659760Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

  • verified exact18
  • verified fuzzy0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 865d57bf-3882-4707-815d-703fc1dc0b00 · outbound

This paper cites doi: 10.1111/jtsa.12170.

Credible rectangles for high-dimensional posterior comparison doi: 10.1111/jtsa.12170

Reference 1

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This paper cites Statistical Science , author =.

Credible rectangles for high-dimensional posterior comparison Statistical Science , author =

Reference 2

Resolution
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Observation b1d052f1-0b7e-4d47-956c-d775dd31be70 · outbound

This paper cites Magnetic Resonance in Medicine34(4), 537–541 (1995).

Credible rectangles for high-dimensional posterior comparison Magnetic Resonance in Medicine34(4), 537–541 (1995)

Reference 3

Resolution
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This paper cites doi: 10.1016/j.jeconom.2018.03.020.

Credible rectangles for high-dimensional posterior comparison doi: 10.1016/j.jeconom.2018.03.020

Reference 4

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Observation 40f8ef74-b266-49da-aa3d-351f619a0b0d · outbound

This paper cites doi: 10.3758/s13428-017-0862-1.

Credible rectangles for high-dimensional posterior comparison doi: 10.3758/s13428-017-0862-1

Reference 5

Resolution
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This paper cites doi: 10.1088/1367-2630/16/2/023006.

Credible rectangles for high-dimensional posterior comparison doi: 10.1088/1367-2630/16/2/023006

Reference 6

Resolution
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Observation 7e5be178-b3c9-4bb9-8ae7-3d4521de9209 · outbound

This paper cites author Raichle, M.E.

Credible rectangles for high-dimensional posterior comparison author Raichle, M.E

Reference 7

Resolution
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Observation eeb52e61-9181-4876-9593-2151a4a5dc9a · outbound

This paper cites doi: 10.1214/16-AOAS1015.

Credible rectangles for high-dimensional posterior comparison doi: 10.1214/16-AOAS1015

Reference 8

Resolution
verified exact
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This paper cites doi: 10.1016/j.neuroimage.2013.04.127.

Credible rectangles for high-dimensional posterior comparison doi: 10.1016/j.neuroimage.2013.04.127

Reference 9

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This paper cites doi: 10.1214/25-BA1568.

Credible rectangles for high-dimensional posterior comparison doi: 10.1214/25-BA1568

Reference 10

Resolution
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This paper cites URL https://www.jstor.org/stable/1391142.

Credible rectangles for high-dimensional posterior comparison URL https://www.jstor.org/stable/1391142

Reference 11

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Observation db764e68-698d-469c-a371-6d781fab39c7 · outbound

This paper cites doi: 10.1016/j.ifacol.2024.10.004.

Credible rectangles for high-dimensional posterior comparison doi: 10.1016/j.ifacol.2024.10.004

Reference 12

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Observation 9b6b4eaf-3fba-4952-8243-d897ea6c02b2 · outbound

This paper cites Prior elicitation for Bayesian estimation of single-subject connectivity networks.

Credible rectangles for high-dimensional posterior comparison Prior elicitation for Bayesian estimation of single-subject connectivity networks

Reference 13

Resolution
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This paper cites Statistics in Biopharmaceutical Research , volume =.

Credible rectangles for high-dimensional posterior comparison Statistics in Biopharmaceutical Research , volume =

Reference 14

Resolution
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This paper cites doi: 10.1016/j.neuroimage.2014.07.031.

Credible rectangles for high-dimensional posterior comparison doi: 10.1016/j.neuroimage.2014.07.031

Reference 15

Resolution
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Observation 6d58a58b-bb61-40e5-87bd-9357f2642c22 · outbound

This paper cites Olivier Ledoit and Michael Wolf.

Credible rectangles for high-dimensional posterior comparison Olivier Ledoit and Michael Wolf

Reference 16

Resolution
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This paper cites doi: 10.1016/j.mri.2007.02.012.

Credible rectangles for high-dimensional posterior comparison doi: 10.1016/j.mri.2007.02.012

Reference 17

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This paper cites doi: 10.1093/braincomms/fcad319.

Credible rectangles for high-dimensional posterior comparison doi: 10.1093/braincomms/fcad319

Reference 18

Resolution
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This paper cites and Huang, Chu Chung and Lin, Ching Po and Feng, Jianfeng and Joliot, Marc , month =.

Credible rectangles for high-dimensional posterior comparison and Huang, Chu Chung and Lin, Ching Po and Feng, Jianfeng and Joliot, Marc , month =

Reference 19

Resolution
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Credible rectangles for high-dimensional posterior comparison org/abs/2309.08556

Reference 20

Resolution
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This paper cites doi: 10.1016/j.neuroimage.2013.05.039.

Credible rectangles for high-dimensional posterior comparison doi: 10.1016/j.neuroimage.2013.05.039

Reference 21

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Credible rectangles for high-dimensional posterior comparison doi: 10.1002/pst.2010

Reference 22

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This paper cites URLhttps: //inserm.hal.science/inserm-01330966.

Credible rectangles for high-dimensional posterior comparison URLhttps: //inserm.hal.science/inserm-01330966

Reference 23

Resolution
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Credible rectangles for high-dimensional posterior comparison Tzourio-Mazoyer, B

Reference 24

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Credible rectangles for high-dimensional posterior comparison doi: 10.1029/2000JD900110

Reference 25

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This paper cites Network-based statistic: Identifying differences in brain networks.

Credible rectangles for high-dimensional posterior comparison Network-based statistic: Identifying differences in brain networks

Reference 26

Resolution
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Pith citing papers

No inbound Pith citation observations are available.