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Paper Citation Record · LEDGER

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity

As of 20 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.02303.

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

pith.paper-citation-record.v1
2506.02303 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:32:11.090119Z

measured 54 of 54 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 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

54 of 54 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 650240cb-16ed-4d48-b599-36dbabc1eab7 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , " * write output.state after.block = add.period write newline

Reference 1

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity write newline

Reference 2

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This paper cites title Inference from iterative simulation using multiple sequences (with discussion).

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title Inference from iterative simulation using multiple sequences (with discussion)

Reference 3

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Observation a153a6f8-c27b-4fbb-8abe-0670fb5a2fca · outbound

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Lucas, T.C.D

Reference 4

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Observation c501cc30-a82c-4a3e-b7ad-94500cf5e498 · outbound

This paper cites , year 1994.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 1994

Reference 5

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Observation b0c9fa95-bf24-4d23-8ff9-a79799a059ea · outbound

This paper cites , year 2008.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2008

Reference 6

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This paper cites On the behavior of the Generalized Alignment Index (GALI) method for regular motion in multidimensional Hamiltonian systems.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity On the behavior of the Generalized Alignment Index (GALI) method for regular motion in multidimensional Hamiltonian systems

Reference 7

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Observation f6be5392-a863-47e9-8e4a-385bd83749e7 · outbound

This paper cites , author Holan, S.H.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Holan, S.H

Reference 8

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This paper cites title 2020 Methodological Summary and Definitions.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title 2020 Methodological Summary and Definitions

Reference 9

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This paper cites title Drug overdose deaths: Drug overdose deaths remained high in 2021.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title Drug overdose deaths: Drug overdose deaths remained high in 2021

Reference 10

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This paper cites , author Beletsky, L.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Beletsky, L

Reference 11

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Observation 2fd55a0e-4d42-4ac6-98ab-bd1c89227f47 · outbound

This paper cites , author Simpson, D.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Simpson, D

Reference 12

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity A spatial variance-smoothing area level model for small area estimation of demographic rates

Reference 13

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This paper cites , author Rao, J.N.K.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Rao, J.N.K

Reference 14

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Observation 60c73c59-a519-49f3-8f0e-86b762e3221b · outbound

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2020

Reference 15

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Observation 1bb6de8f-0e42-4278-969a-9cff65173ef0 · outbound

This paper cites , author Tibshirani, R.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Tibshirani, R

Reference 16

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Source-reported events for the cited work

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Observation 07405359-57c6-4c1e-acc1-6a9db2b34428 · outbound

This paper cites title An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio

Reference 17

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Observation e90f1c4f-a3ff-4c99-b638-335785d88e4e · outbound

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity A Two-Stage Bayesian Small Area Estimation Approach for Proportions

Reference 18

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity Better together? Statistical learning in models made of modules

Reference 19

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Ji, Y

Reference 20

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title Estimating the burden of the opioid epidemic for adults and adolescents in Ohio counties

Reference 21

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This paper cites title A Dynamic Spatial Factor Model to Describe the Opioid Syndemic in Ohio.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title A Dynamic Spatial Factor Model to Describe the Opioid Syndemic in Ohio

Reference 22

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Observation 36c3f000-2856-42e5-ae14-49e43dccee6b · outbound

This paper cites , author Padellini, T.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Padellini, T

Reference 23

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Tatem, A.J

Reference 24

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This paper cites , author Wakefield, J.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Wakefield, J

Reference 25

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2018

Reference 26

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity disaggregation: An R Package for Bayesian Spatial Disaggregation Modelling

Reference 27

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title Only 1 in 5 u.s

Reference 28

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This paper cites title Opioid use disorder: What is oud? https://nida.nih.gov/research-topics/opioids/opioid-use-disorder.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title Opioid use disorder: What is oud? https://nida.nih.gov/research-topics/opioids/opioid-use-disorder

Reference 29

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Source-reported events for the cited work

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title Programming with models: Writing statistical algorithms for general model structures with NIMBLE

Reference 30

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Guranich, G

Reference 31

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Observation 39355fe8-b80f-4b6a-82a6-109982dd5194 · outbound

This paper cites A Bayesian Spatial Berkson error approach to estimate small area opioid mortality rates accounting for population-at-risk uncertainty.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity A Bayesian Spatial Berkson error approach to estimate small area opioid mortality rates accounting for population-at-risk uncertainty

Reference 32

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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.

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Observation 8d3a53d0-4341-448e-bf25-fd2e9eb86963 · outbound

This paper cites , year 2015.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2015

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d0d50d95-dd67-4eb7-a9c7-6ea17203ece8 · outbound

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A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2017

Reference 34

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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.

source=arxiv_source observed=2026-08-07T11:32:09.315735Z digest=sha256:5d6e2f243fd8233d43c10581d4c01dc399c11a607fc7f4733486cf0b7df41c14

Observation 6f5184a3-4a36-4f1a-b2fb-4a884d31de26 · outbound

This paper cites Census Bureau , year 2019.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity Census Bureau , year 2019

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:32:16.357319Z

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.

source=arxiv_source observed=2026-08-07T11:32:09.419212Z digest=sha256:76df4472bf0596103e11500848ffab482481686dfcff6289c74431e92bfe3ce2

Observation d4a61e31-8a8b-4a27-b440-1fd55f4dbf05 · outbound

This paper cites , author Bender, A.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Bender, A

Reference 36

Resolution
verified exact
doi, observed 2026-08-07T11:32:16.215471Z

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.

source=arxiv_source observed=2026-08-07T11:32:09.535125Z digest=sha256:9e3a05edd11a1dffd0df3b3eac632578db4cd2817bf8638bf06f5976d9d21782

Observation 9605b7ba-592a-462b-8a66-72103d11fe5b · outbound

This paper cites , author Molina, I.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Molina, I

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:32:16.072679Z

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.

source=arxiv_source observed=2026-08-07T11:32:09.630194Z digest=sha256:bf5bca22cf8feb9a9eb2ef92ef39b923c41242a1b9c7d3149c4629957abf9bcd

Observation fcddcd75-5fcc-4022-9164-a83d45a2cec3 · outbound

This paper cites , author Unick, G.J.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Unick, G.J

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:32:15.886084Z

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.

source=arxiv_source observed=2026-08-07T11:32:09.749572Z digest=sha256:e8f517df0396a2558f5972cad0abd01f6cd02f5984d2b04f0cef5725b063d2e6

Observation 58337a2e-a6a0-492e-a535-328009630012 · outbound

This paper cites , author Martino, S.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Martino, S

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:09.887689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:09.887689Z digest=sha256:716e68fb8dbe9584c842b2cf504b271a587688394946e28117ec94dfbcff7d38

Observation 4e455934-bd49-4ba3-b810-d3c624a161c0 · outbound

This paper cites , et al., year 2024.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , et al., year 2024

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:32:15.688081Z

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.

source=arxiv_source observed=2026-08-07T11:32:09.984098Z digest=sha256:0244f5e01764253c01afab995e7116fd8c3eee28d37a52d4f495fedff907a4ec

Observation 8d47e58a-e58c-42b8-a237-142619627770 · outbound

This paper cites , author Held, L.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Held, L

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:32:15.506920Z

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.

source=arxiv_source observed=2026-08-07T11:32:10.038893Z digest=sha256:c34b3c501de7c8a66d21b90eaea844f8302147a6134da66d398fd761c2e6b57d

Observation 77b7ca46-71e4-4f4b-b1e6-9374150e2d6c · outbound

This paper cites title 2021 national survey on drug use and health.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity title 2021 national survey on drug use and health

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:32:15.355299Z

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.

source=arxiv_source observed=2026-08-07T11:32:10.106775Z digest=sha256:1605c6ec14036834b74f5d379c4d4f3830938e862a144bed47c853730768feb2

Observation 2318b2a9-b8ab-4dfb-a6ca-5e80bc80e38f · outbound

This paper cites , author Goicoa, T.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Goicoa, T

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:32:15.222938Z

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.

source=arxiv_source observed=2026-08-07T11:32:10.200005Z digest=sha256:d3703f12444bf7042fbdd17837679404c9c37a77bef59401a2b2944308f46661

Observation 6e787d56-9535-486f-94eb-1df6be680695 · outbound

This paper cites , year 2016.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2016

Reference 44

Resolution
verified exact
doi, observed 2026-08-07T11:32:11.690530Z

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.

source=arxiv_source observed=2026-08-07T11:32:10.270361Z digest=sha256:9124d8c86b36429753524e166ff37f37effc3400086ffa1b9602bea7d1d491c3

Observation 8a5d9c48-3496-4f4c-b5fe-eb69a495131f · outbound

This paper cites , year 2023.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2023

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:32:15.074056Z

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.

source=arxiv_source observed=2026-08-07T11:32:10.345545Z digest=sha256:8b13526141850315f28fe2697740f68664fe575d710a937500fc6f972f6baeab

Observation eb2c9348-ce1d-42f3-813e-64a4fc15a6ad · outbound

This paper cites Census Bureau , year 2025.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity Census Bureau , year 2025

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:32:14.924392Z

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.

source=arxiv_source observed=2026-08-07T11:32:10.411057Z digest=sha256:5e51068250489f0012f5b4a36b7ecfd635ccdf41a1e4793227237fa2220b656e

Observation fbbdea23-987b-49d6-b14d-bfa0cbf92873 · outbound

This paper cites Department of Health and Human Services , year 2020 a.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity Department of Health and Human Services , year 2020 a

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:32:14.724416Z

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.

source=arxiv_source observed=2026-08-07T11:32:10.465309Z digest=sha256:0665f5406bd355b567ad6cfc6d74212ea857e3a50e6db9d388f237d983414eca

Observation d682fe3c-cf0d-4f95-a826-a2354715d4eb · outbound

This paper cites Department of Health and Human Services , year 2020 b.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity Department of Health and Human Services , year 2020 b

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:32:14.555469Z

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.

source=arxiv_source observed=2026-08-07T11:32:10.596892Z digest=sha256:429c9cd4dab922e2305eede2124457e6c2df1158d22a2d850e50a45257efe61e

Observation 81d0fa24-1556-4fd3-9d5e-9b89dc2a3004 · outbound

This paper cites , author Gelman, A.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Gelman, A

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:10.690695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:10.690695Z digest=sha256:8c51975306fbd91bbf9c31317af3c32952cc6965551a6eed96e35ec47aee4e67

Observation 568f9bbd-3062-49df-8f12-1d77eeafdcb2 · outbound

This paper cites , year 2007.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2007

Reference 50

Resolution
verified exact
doi, observed 2026-08-07T11:32:11.524224Z

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.

source=arxiv_source observed=2026-08-07T11:32:10.751465Z digest=sha256:23ef8b0ad6106d03b685f8cbcd1ecd15d6c96a572b3ed61d667a3eeca565d82e

Observation 436736de-2123-4e96-af55-6cce362e8914 · outbound

This paper cites , year 2020.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , year 2020

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:32:14.303052Z

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.

source=arxiv_source observed=2026-08-07T11:32:10.834162Z digest=sha256:ec50c545282d3821036877c53f7bc0eec107728de062f76c60c73a7e2ee5194f

Observation 80cd4b4c-865a-4a52-b616-99e750f6ab65 · outbound

This paper cites , author Gotway, C.A.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Gotway, C.A

Reference 52

Resolution
verified exact
doi, observed 2026-08-07T11:32:11.336134Z

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.

source=arxiv_source observed=2026-08-07T11:32:10.908074Z digest=sha256:0c738c7878ed776904c99423040e66f5f3bee4ae73677e86cb63f2cdf909b1b4

Observation 18b71617-646f-4d1e-ba68-97ab97f60c79 · outbound

This paper cites , author Best, N.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Best, N

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:32:14.178658Z

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.

source=arxiv_source observed=2026-08-07T11:32:11.004463Z digest=sha256:7dae8d1cd580a6f66375b0f6c01a45573e8deb1f5996827aba73edd581abd77e

Observation 488a9dc3-4125-4c60-adae-1d45026bd28a · outbound

This paper cites , author Rao, J.N.K.

A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity , author Rao, J.N.K

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:32:14.071501Z

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.

source=arxiv_source observed=2026-08-07T11:32:11.090119Z digest=sha256:83a579fb20331e92bd65d9919da748462958e4595460dcad91eea090ab9fd979

Pith citing papers

No inbound Pith citation observations are available.