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Paper Citation Record · LEDGER

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality

As of 19 August 2026, this Paper Citation Record lists 100 of 147 outbound references and 0 inbound Pith citation observations for arXiv:2608.09103.

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

pith.paper-citation-record.v1
2608.09103 v1

Coverage vector

measured 100 of 147 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:36:14.793307Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

100 of 147 outbound references displayed

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  • verified fuzzy24
  • unresolved73
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad32dd3c-59b7-41dd-9f74-453684c17d8c · outbound

This paper cites Shane and Ekwueme, Donatus U.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Shane and Ekwueme, Donatus U

Reference 1

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Observation cf4785cd-541b-444b-a1bf-42c70fbd09e6 · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

Reference 2

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Observation b997518d-1db3-4ab0-8f04-98fdc0301a7a · outbound

This paper cites Estimating county-level mortality rates using highly censored data from CDC WONDER , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Estimating county-level mortality rates using highly censored data from CDC WONDER , volume =

Reference 3

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Observation 745cd4de-536b-493c-ac63-8adaf04e06ec · outbound

This paper cites Preventing chronic disease , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Preventing chronic disease , volume=

Reference 4

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Observation 57e7a173-4f74-4081-8e6d-7c05d0180862 · outbound

This paper cites Lawson and Rachel Carroll and Christel Faes and Russell S.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Lawson and Rachel Carroll and Christel Faes and Russell S

Reference 5

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Observation abe0a2d0-f231-408c-a517-80512d2f1f04 · outbound

This paper cites Lawson and Russell S.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Lawson and Russell S

Reference 6

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Observation 1969ff8e-ff37-428d-b71f-85f7b48d9b02 · outbound

This paper cites 2023 , note =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality 2023 , note =

Reference 7

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Observation e3de6a73-da60-4f1e-9320-5dcb9d63df27 · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

Reference 8

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Observation 9c2a4cfd-4a18-4f91-ac83-fcdd205d31e8 · outbound

This paper cites Friedman and Helena Hansen , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Friedman and Helena Hansen , doi =

Reference 9

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Observation 2bdf9b53-7da9-402f-bd20-31a1d7491bb4 · outbound

This paper cites Drug Overdose Deaths in the United States, 2001–2021.NCHS Data Brief, no 457.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Drug Overdose Deaths in the United States, 2001–2021.NCHS Data Brief, no 457

Reference 10

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Observation 1556f78e-0fde-4683-8654-1bec75c32e0f · outbound

This paper cites 2023 , note =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality 2023 , note =

Reference 11

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Observation f5a31914-8d1d-45a7-b76c-55917f91eef3 · outbound

This paper cites Larochelle and Svetla Slavova and Elisabeth D.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Larochelle and Svetla Slavova and Elisabeth D

Reference 12

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Observation 7537178c-a3c1-49c8-826e-876670927192 · outbound

This paper cites JAGS, NIMBLE, Stan: a detailed comparison among Bayesian MCMC software , url =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality JAGS, NIMBLE, Stan: a detailed comparison among Bayesian MCMC software , url =

Reference 13

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Observation fc47bd15-9f51-4566-9d75-39892e7052a7 · outbound

This paper cites Holan and Christopher K.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Holan and Christopher K

Reference 14

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Observation 46bbf248-6f11-4ff4-bcf0-d0f5fed20923 · outbound

This paper cites Holan and Daniell Toth and Marco A.R.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Holan and Daniell Toth and Marco A.R

Reference 15

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Observation bc241d62-cae3-48d2-b4a4-c619ba965fea · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

Reference 16

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Observation 9568b56a-f609-4c46-b6f6-e04437264d77 · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

Reference 17

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Observation de474dea-96a7-474f-ade0-675ac752cced · outbound

This paper cites Brilleman and Laura D.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Brilleman and Laura D

Reference 18

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Observation 74889d05-aae5-4c93-a285-165beb9ed6aa · outbound

This paper cites Andrew Gelman and Jennifer Hill: Data analysis using regression and multilevel/hierarchical models , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Andrew Gelman and Jennifer Hill: Data analysis using regression and multilevel/hierarchical models , volume =

Reference 19

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Observation cbe45a9e-65b6-40b2-98e6-dba0bb4fb1cb · outbound

This paper cites Bayesian aggregation of average data: An application in drug development , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Bayesian aggregation of average data: An application in drug development , volume =

Reference 20

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Observation 70aa84bf-a086-4639-951e-a0655d4b3492 · outbound

This paper cites RUBIN , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality RUBIN , doi =

Reference 21

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Observation 3118ec79-44be-4136-81ec-1a8795a747cf · outbound

This paper cites Little , issue =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Little , issue =

Reference 22

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Observation e3dd5739-8695-4da8-b0cc-2eaf45f88f86 · outbound

This paper cites Wide-ranging Online Data for Epidemiologic Research.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Wide-ranging Online Data for Epidemiologic Research

Reference 23

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Observation f9e06977-a09f-4283-9bf6-9b0f66a004d3 · outbound

This paper cites Drug Overdose Deaths Among Non-Hispanic Black Men in the U.S.: Age-Specific Projections Through 2025 , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Drug Overdose Deaths Among Non-Hispanic Black Men in the U.S.: Age-Specific Projections Through 2025 , volume =

Reference 24

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Observation 0ea7929d-92b7-4714-ab6d-7d93cd68f5b4 · outbound

This paper cites Kleinman , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Kleinman , doi =

Reference 25

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Observation 223edf9d-07d7-4d12-9f56-66e704ec985c · outbound

This paper cites Bunting and Staci A.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Bunting and Staci A

Reference 26

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Observation 0bd4db60-d0ee-41e5-b91e-f0181b98804b · outbound

This paper cites Erdman and Leonard D.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Erdman and Leonard D

Reference 27

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Observation dbf37943-ab23-44b7-a9ad-67acb1c371e9 · outbound

This paper cites Fridley and Philip Dixon , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Fridley and Philip Dixon , doi =

Reference 28

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no resolver link, observed 2026-08-11T23:36:14.563254Z

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Observation 23ca25e9-831f-4061-b06c-c0421814a49a · outbound

This paper cites Brillinger , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Brillinger , doi =

Reference 29

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Observation 15e056ce-ecf0-41b8-9f3a-2110177627b8 · outbound

This paper cites Neutral noninformative and informative conjugate beta and gamma prior distributions , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Neutral noninformative and informative conjugate beta and gamma prior distributions , volume =

Reference 30

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Observation 5235f8a5-977e-4276-acf2-47769d874c9a · outbound

This paper cites Hassan and Ric Bayly and Jack Cordes and Dana Bernson and Cedric Woods and Xiaona Li and Wenjun Li and Leland K.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Hassan and Ric Bayly and Jack Cordes and Dana Bernson and Cedric Woods and Xiaona Li and Wenjun Li and Leland K

Reference 31

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Observation 51041817-64eb-4a0d-be89-05bf90529795 · outbound

This paper cites A comparison of zero-inflated and hurdle models for modeling zero-inflated count data , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality A comparison of zero-inflated and hurdle models for modeling zero-inflated count data , volume =

Reference 32

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Observation c713ca19-7a97-4a13-9000-fd252094e07c · outbound

This paper cites Zero to k Inflated Poisson Regression Models with Applications , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Zero to k Inflated Poisson Regression Models with Applications , volume =

Reference 33

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Observation 6ff922ce-dcb0-4099-adbe-1edd46468e29 · outbound

This paper cites On estimation of the Poisson parameter in zero-modified Poisson models , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality On estimation of the Poisson parameter in zero-modified Poisson models , volume =

Reference 34

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Observation 3f89e76b-c1ef-46b5-9f7e-7950a8257784 · outbound

This paper cites Yu , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Yu , doi =

Reference 35

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source=arxiv_source observed=2026-08-11T23:36:14.583359Z digest=sha256:673d1657b17117e9ea2794548dac4acc8947b2fa766a85b4f151b63f2d94b451

Observation ad7ed305-df87-471c-81b5-cff46dd026a2 · outbound

This paper cites A lack-of-fit test for parametric zero-inflated Poisson models , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality A lack-of-fit test for parametric zero-inflated Poisson models , volume =

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source=arxiv_source observed=2026-08-11T23:36:14.586214Z digest=sha256:b241a866adf15835fed366a739a28a96504735547550fe014d8beb76d6e0378e

Observation 440f43d0-4746-49ae-a304-ac889ebdbc49 · outbound

This paper cites Zero-inflated poisson regression, with an application to defects in manufacturing , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Zero-inflated poisson regression, with an application to defects in manufacturing , volume =

Reference 37

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source=arxiv_source observed=2026-08-11T23:36:14.588994Z digest=sha256:2f1aa4587ed1b7965ce94393cdf5e8ab0d91aa0ad17ecf2d12d9a2cf959ca810

Observation a15b58ec-7b4f-425b-a27f-02f5642bec40 · outbound

This paper cites Dean and Erin R.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Dean and Erin R

Reference 38

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source=arxiv_source observed=2026-08-11T23:36:14.591876Z digest=sha256:9575f1de2bdadb605f9b4c62201fb51adae9b5fcbfe610f552f2e82f24913d93

Observation 380752eb-443c-4b8d-b842-44cd47a4509a · outbound

This paper cites Some remarks on overdispersion , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Some remarks on overdispersion , volume =

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source=arxiv_source observed=2026-08-11T23:36:14.594609Z digest=sha256:6a9e56fe88057c513fb90fa18a84cb762cc1d8dfd491bc011d82c1f451fc3b06

Observation 386985d1-bf53-4ed7-b568-9cb84a3f18fb · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

Reference 40

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source=arxiv_source observed=2026-08-11T23:36:14.597436Z digest=sha256:d616a3fe6d4a28cbdc772d603617b22d9c7dbdec8175fffa7854a8950ad7a24b

Observation 01de8a11-58ed-43c4-ac39-78d628fc1dbd · outbound

This paper cites Payne and James W.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Payne and James W

Reference 41

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source=arxiv_source observed=2026-08-11T23:36:14.600913Z digest=sha256:b02ac8f5797bf62b4f13af1a080c690a9b4183c241bc69b15765f3c468f62560

Observation 1f42542b-ead6-4c30-a680-c4fe81504052 · outbound

This paper cites A shared component model for detecting joint and selective clustering of two diseases , year =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality A shared component model for detecting joint and selective clustering of two diseases , year =

Reference 42

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source=arxiv_source observed=2026-08-11T23:36:14.604557Z digest=sha256:59a8aed9031b1375264a96a772246dad005874171c9d64327c606894b18f6f10

Observation c48ec938-18fa-4ab2-816c-c4e55a3dcd69 · outbound

This paper cites Bayesian modelling of inseparable space-time variation in disease risk , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Bayesian modelling of inseparable space-time variation in disease risk , volume =

Reference 43

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source=arxiv_source observed=2026-08-11T23:36:14.608081Z digest=sha256:4308b53b1a48ad48b20927b189c1dc7bc0b759e8362493b2a298fb5b1da27347

Observation d5ec1610-fc91-4dea-99a5-29b458655f3d · outbound

This paper cites 2024 , url =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality 2024 , url =

Reference 44

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no resolver link, observed 2026-08-11T23:36:14.611534Z

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source=arxiv_source observed=2026-08-11T23:36:14.611534Z digest=sha256:4c80584e329ff6b0901f7369a60364606e64d06febae99375cd69f51fcc814ff

Observation 48145432-325e-4d2a-9eb5-d5c7de5e5425 · outbound

This paper cites 2024 , version =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality 2024 , version =

Reference 45

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no resolver link, observed 2026-08-11T23:36:14.615426Z

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source=arxiv_source observed=2026-08-11T23:36:14.615426Z digest=sha256:1f97d004a3d0d9d3deed4fedad6a651eceb3cebc9c597015797252babc9e8b9d

Observation 23e38c81-246b-4582-87a9-7dfc69991a53 · outbound

This paper cites Big data and predictive modelling for the opioid crisis: existing research and future potential , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Big data and predictive modelling for the opioid crisis: existing research and future potential , volume =

Reference 46

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source=arxiv_source observed=2026-08-11T23:36:14.619105Z digest=sha256:9c605a2a58d8e5d70bf53dab1c8b259cee418e994d00d8f5c541da4f55b7a9a8

Observation 937a596f-19ac-4fe4-bd6c-8227df038141 · outbound

This paper cites Development and validation of a risk-score model for opioid overdose using a national claims database , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Development and validation of a risk-score model for opioid overdose using a national claims database , volume =

Reference 47

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source=arxiv_source observed=2026-08-11T23:36:14.622733Z digest=sha256:3b469bc66731a467c437874b732832c559cf2dd9e9b4a3a5f08b3836ef4ff90e

Observation e6d01dd7-55ba-4ebb-b854-ae20657dd3de · outbound

This paper cites Developing a novel prediction model in opioid overdose using machine learning; a pilot analytical study , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Developing a novel prediction model in opioid overdose using machine learning; a pilot analytical study , volume =

Reference 48

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source=arxiv_source observed=2026-08-11T23:36:14.625624Z digest=sha256:e121fdb50fd9c9723942b2795535bab292250260ff3af602baeeb59067b545e8

Observation f15f38ea-1281-4aed-97dd-ea5bc7f6cb26 · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-08-11T23:36:14.628452Z digest=sha256:81e55552a3e62a877093a957a9bab4231bb9e12d2dfce55e8ec714e17ae935ef

Observation 95873d9b-df5e-4aea-9cdd-74065a8b340a · outbound

This paper cites 2024 , urldate =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality 2024 , urldate =

Reference 50

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source=arxiv_source observed=2026-08-11T23:36:14.631201Z digest=sha256:71e6f6011091013a9af9264ab954b6f8fd85563b534e220c2dc5357477e0a6ee

Observation d9c08c71-ec2e-40c8-ba78-3df1bee5b2bf · outbound

This paper cites Miniño , city =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Miniño , city =

Reference 51

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source=arxiv_source observed=2026-08-11T23:36:14.635083Z digest=sha256:8074a3b8fe101b3e182b0637daaf306de8f025b8623dd63c1912a7b4f7fc014c

Observation 8f632b7a-5351-4c4f-b336-a6703a3dc47c · outbound

This paper cites Shover , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Shover , doi =

Reference 52

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source=arxiv_source observed=2026-08-11T23:36:14.638241Z digest=sha256:c2c0a5fc84fd211fca4569df8c98cd71e35429bb4b97a8f1a71e1dffd4620909

Observation cd104e1f-74c5-4b13-b8f9-f83babe4ecce · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

Reference 53

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source=arxiv_source observed=2026-08-11T23:36:14.641399Z digest=sha256:e891740141c152d9c1cd1d543de053123a0d95745e64f355febe005ec1ff491f

Observation cceef3ff-2435-4b13-beec-9610a06255d8 · outbound

This paper cites SPATIOTEMPORAL MODELING OF OPIOID ABUSE AND DEPENDENCE OUTCOMES USING BAYESIAN HIERARCHICAL METHODS , school=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality SPATIOTEMPORAL MODELING OF OPIOID ABUSE AND DEPENDENCE OUTCOMES USING BAYESIAN HIERARCHICAL METHODS , school=

Reference 54

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source=arxiv_source observed=2026-08-11T23:36:14.644671Z digest=sha256:05b38432ce127334eb5b3e3309a5dea0cd2b9df492185e88ab1156f4eec0164b

Observation d7cac296-981a-414e-b666-bf30ac70df8c · outbound

This paper cites Daunter and Steven R.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Daunter and Steven R

Reference 55

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source=arxiv_source observed=2026-08-11T23:36:14.648312Z digest=sha256:7912264a413f8f695486aeeec3f7e8c937ab133011663bbbd3f83872fefde168

Observation 73668e33-c43b-4973-9aa4-092f5d27e442 · outbound

This paper cites Applied Missing Data Analysis by Craig K Enders , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Applied Missing Data Analysis by Craig K Enders , volume =

Reference 56

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source=arxiv_source observed=2026-08-11T23:36:14.651783Z digest=sha256:aa8652368cf65802068d8a1455b34ee4ae02343bddb27d5eb557d1e918b50f25

Observation 635e13a4-9216-438d-bf52-83beb70c4008 · outbound

This paper cites Donohue and Eric G.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Donohue and Eric G

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source=arxiv_source observed=2026-08-11T23:36:14.655535Z digest=sha256:0e35ca61093cc929554342745701fdba32306a6301c72fed1dd19139991117c0

Observation 194d7a97-285c-468e-8e19-d2ca8b9049cb · outbound

This paper cites <b>mice</b> : Multivariate Imputation by Chained Equations in <i>R</i> , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality <b>mice</b> : Multivariate Imputation by Chained Equations in <i>R</i> , volume =

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source=arxiv_source observed=2026-08-11T23:36:14.658837Z digest=sha256:b1947bbd780010fe955c5c61b5a2d95d1f900e95ff1288b015714e144be50911

Observation afa1a7a5-106f-4649-972f-743167a6e98e · outbound

This paper cites The importance of distribution-choice in modeling substance use data: a comparison of negative binomial, beta binomial, and zero-inflated distributions , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality The importance of distribution-choice in modeling substance use data: a comparison of negative binomial, beta binomial, and zero-inflated distributions , volume =

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source=arxiv_source observed=2026-08-11T23:36:14.662133Z digest=sha256:c65feffa1a108544b421e8f9099589c38c3f6d14411136e419392d453c209373

Observation 5033314b-81ab-48ed-b0c4-3c656be2980b · outbound

This paper cites Allen and Allison O’Rourke and Jessica.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Allen and Allison O’Rourke and Jessica

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source=arxiv_source observed=2026-08-11T23:36:14.665312Z digest=sha256:9296008c34ea4da43112f6e5b7e8123ed78e52886dc953bafef5c58a881db0ff

Observation abdd1b71-5294-41e0-adbf-119f123299c2 · outbound

This paper cites Courtwright and Catherine S.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Courtwright and Catherine S

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source=arxiv_source observed=2026-08-11T23:36:14.668982Z digest=sha256:effddafdad6a87ba88c29c1ad7fe618c1c9ab2a13aad7b5e6d33b135cdaa5cb4

Observation 883a70b8-7502-4ace-a2df-ce40e7666b7e · outbound

This paper cites Rudd and Puja Seth and Felicita David and Lawrence Scholl , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Rudd and Puja Seth and Felicita David and Lawrence Scholl , doi =

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source=arxiv_source observed=2026-08-11T23:36:14.672729Z digest=sha256:873f6cf292df0cc19352a6497cbf7e1fc4003f87336e3c6db6efaf9198b4e321

Observation 9130a244-8b8b-45a5-9f11-e8ce091fb055 · outbound

This paper cites Statistical Learning with Sparsity , url =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Statistical Learning with Sparsity , url =

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source=arxiv_source observed=2026-08-11T23:36:14.676307Z digest=sha256:96040746479a772138f7785746abff8c6e54412d24b3dbc16cccbbe070e86339

Observation 370b9b01-8d36-489d-8655-fcb1ba2f3a68 · outbound

This paper cites Mattson and Lauren J.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Mattson and Lauren J

Reference 64

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source=arxiv_source observed=2026-08-11T23:36:14.679619Z digest=sha256:15448ad08ef7ac9bf35da686d20d08ec8ce4508bf4248ee0404f6bd9dad2a288

Observation 5335d594-9131-4881-b966-0558e08b0b43 · outbound

This paper cites an unresolved cited work.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Unresolved cited work

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source=arxiv_source observed=2026-08-11T23:36:14.683041Z digest=sha256:dd39a06dd3690dbf62e2ecac97fe23a4666c8b4191574b35b4a1a44e770619c4

Observation 581e9d60-0f88-4ae3-89dd-dfbcf59fc309 · outbound

This paper cites Flexible Imputation of Missing Data, Second Edition , url =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Flexible Imputation of Missing Data, Second Edition , url =

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source=arxiv_source observed=2026-08-11T23:36:14.686420Z digest=sha256:9338f2f5692112e3fc85041fd731846e259b60e636ef72712b3ca5e40882a07b

Observation 9cb5ce48-9a1d-424c-ab5f-d762aebb2512 · outbound

This paper cites Drug Overdose Deaths in the United States, 2002-2022 , url =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Drug Overdose Deaths in the United States, 2002-2022 , url =

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verified exact
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.689690Z digest=sha256:c05496977a729f8ba5e5c7d341da4018133f892ea20f8f32b020ae89dd2d68c4

Observation 4a5bff87-2324-4feb-81d8-e07c20d41d48 · outbound

This paper cites Schieber and Gery P.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Schieber and Gery P

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source=arxiv_source observed=2026-08-11T23:36:14.693256Z digest=sha256:6149281a9613029de299df4ce8ae4304fc837e5eb99691fcb787679463efcb3b

Observation 65e2bfea-13ca-4168-b927-22d9f2fe58d0 · outbound

This paper cites Mejia and Srekar N.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Mejia and Srekar N

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source=arxiv_source observed=2026-08-11T23:36:14.696795Z digest=sha256:81d723e6f8e7b57e34620de0874b7a7fb787e99ae752db8a4edc7fc29697e58c

Observation 446b39c0-3155-412b-8abb-1d2ee3cf799b · outbound

This paper cites Jones and Shashim A.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Jones and Shashim A

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source=arxiv_source observed=2026-08-11T23:36:14.700327Z digest=sha256:e63933ea496a0225564fab444c9336d8b816c0e93e5451f85bfce855495a8785

Observation d79b5f46-1e6f-4e23-bf62-617ec5ac34e0 · outbound

This paper cites Donnelly , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Donnelly , doi =

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:14.703599Z digest=sha256:c67b87411aeef3fdd9c1c5696b72b20f7c2ecb15e55b1b1735179eaecfc16b6e

Observation 8532d3ba-0690-425b-ab22-4934ba38a9fd · outbound

This paper cites Polysubstance mortality trends in White and Black Americans during the opioid epidemic, 1999–2018 , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Polysubstance mortality trends in White and Black Americans during the opioid epidemic, 1999–2018 , volume =

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-11T23:36:14.706876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:14.706876Z digest=sha256:8594b16aa341954d77f2bd6d6ab240e4d13be508fe14569a421dc2a4be708244

Observation 1ae322ca-27bd-451b-b852-bd9b59e6e8db · outbound

This paper cites Brinzo and Silvia S.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Brinzo and Silvia S

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.627058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.710438Z digest=sha256:c7ac66f770f6cb8bb9cada9dcb8332f497c9af3b46765ee3d49561e56c77d8a9

Observation a6ca88e4-6688-4687-9e91-aae8cbf9fa80 · outbound

This paper cites Impact of opioid overdoses on US life expectancy and years of life lost, by demographic group and stimulant co-involvement: a mortality data analysis from 2019-2022 , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Impact of opioid overdoses on US life expectancy and years of life lost, by demographic group and stimulant co-involvement: a mortality data analysis from 2019-2022 , volume =

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.617731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.713482Z digest=sha256:c2c5cce4f74ef2339422afb40edaffae1d21c8715b8c9ad9ea105a1589b24f33

Observation ad991b01-d206-45b3-87dc-1c361693a5e2 · outbound

This paper cites Using Precision Epidemiology to Identify Racialized Disparities in Overdose Mortality , url =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Using Precision Epidemiology to Identify Racialized Disparities in Overdose Mortality , url =

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.607746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.716362Z digest=sha256:c295b2b9f4a1a04183d935cdfbc149f9456919d762f1c965fea867b3dae96aaa

Observation 3f7c62eb-7cea-4739-a094-b6d4ba9e90bf · outbound

This paper cites Understanding the spatiotemporal evolution of opioid overdose events using a regionalized sequence alignment analysis.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Understanding the spatiotemporal evolution of opioid overdose events using a regionalized sequence alignment analysis

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.598528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.720116Z digest=sha256:c647dc9f12f5a1550339ff2868563227accef92f6f8a3cc3dfb5bc466aae96d3

Observation 355d3d5e-19d0-43b9-aead-e1a53baa5f21 · outbound

This paper cites Knuth: Computers and Typesetting.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Knuth: Computers and Typesetting

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-11T23:36:14.723641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:14.723641Z digest=sha256:2862a10eedeb13365adce8bd9114891b62dcffbf7bcac1e66af77f569b283023

Observation 66d6a3c7-96dd-40d5-8a49-df9d69a30c16 · outbound

This paper cites Intrinsic Gaussian Markov random fields , year =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Intrinsic Gaussian Markov random fields , year =

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.584146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.727287Z digest=sha256:c9dcb37a4feebaa21c2fa33d0b474c3d6184fe036a17c0244acdddfe171923da

Observation aaa5efe2-b5e8-4b13-90c1-7d470c3701d3 · outbound

This paper cites A class of models for large zero-inflated spatial data , year =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality A class of models for large zero-inflated spatial data , year =

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.575892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.730869Z digest=sha256:ce96ca8e17d8cfbc88bfcd217aa645c6fb5ed075cc32e91d377f3bec96c9c2c9

Observation 0e68e96a-d4d3-4985-8d30-7f4c11e89839 · outbound

This paper cites 2024 , note =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality 2024 , note =

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.566089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.734198Z digest=sha256:8996ad196b1ac62dca61072bbf1a78a6a7072e8fda310798b19f8978946805aa

Observation 47efb8db-6256-4e76-a85a-cee869715a70 · outbound

This paper cites Rao Chaganty , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Rao Chaganty , doi =

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.556380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.738066Z digest=sha256:26cc6fb5530361543e1fc32e3d1e68ba25180982dd9c60c597815c5fa416e48e

Observation 9bff8271-cdea-4d90-86ef-aec5179a5548 · outbound

This paper cites A framework of zero-inflated Bayesian negative binomial regression models for spatiotemporal data , volume =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality A framework of zero-inflated Bayesian negative binomial regression models for spatiotemporal data , volume =

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.547337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.741282Z digest=sha256:a776347e92afb87021e273f8659a164ca5b51f14682388abbfb16042eeb86499

Observation 6c4f37b3-bc8b-4855-8e8c-acfc64ebede2 · outbound

This paper cites Macdonald and George Tzougas and George Streftaris , doi =.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Macdonald and George Tzougas and George Streftaris , doi =

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.538032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.744765Z digest=sha256:9b989d7d8e9d26dad0eeac88c82cb6584cf780ea22357f3071dab8e378df8974

Observation 669e5cce-a311-40e1-95bd-d332833ffa28 · outbound

This paper cites Axalan and M.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Axalan and M

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.527541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.747611Z digest=sha256:ca91aaa2a0df7ae4d6d00f4e5d1f5b4382974a9e7d8bfb1b8be7b8268352042d

Observation 1ca249fd-980f-43cc-98ab-48f86ed71c0a · outbound

This paper cites Journal of Computational and Graphical Statistics , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of Computational and Graphical Statistics , volume=

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.517001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.750476Z digest=sha256:2385e87b600123964f1b3ba9375674176d8cad8cefe1bf97c9eee9e7e49dde9b

Observation 70489022-f1c8-4323-a28a-e22d4718e476 · outbound

This paper cites The Annals of Applied Statistics , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality The Annals of Applied Statistics , volume=

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.507631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.753031Z digest=sha256:d1412b86cae6ac17f0bc8f115d5c0cf7e1b5ecc603dd71b4c643eccf310423a6

Observation 0b8a35b6-30dc-437f-9ad8-9084694c8e02 · outbound

This paper cites Journal of Computational and Graphical Statistics , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of Computational and Graphical Statistics , volume=

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.498673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.755582Z digest=sha256:7f86fef5839548a048b3563be58423f294060845086057a1a151755827d670f9

Observation 74d7b343-88d8-4b44-8084-1262573c579f · outbound

This paper cites The annals of applied statistics , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality The annals of applied statistics , volume=

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.488943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.758474Z digest=sha256:1621761b33c0a8ceb2bbbde92704815c21e116dc011743d4dded676f92569480

Observation 4979f726-891e-4add-abdb-a7d6af6f4fc2 · outbound

This paper cites Journal of Computational and Graphical Statistics , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of Computational and Graphical Statistics , volume=

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.479923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.762130Z digest=sha256:c01d1bdf51dab00ab79d87974de9314e3f6507d8b616ab00126c599a9f0dbfe9

Observation 95664e74-0a9b-4616-8c78-43f8398ee687 · outbound

This paper cites Journal of the American Statistical Association , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of the American Statistical Association , volume=

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-11T23:36:14.765028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:14.765028Z digest=sha256:17fdac6a4c6b1f94ccc0c5c99c228a1848a2b33e070071747b43532cb752b8b7

Observation 73e38bff-1805-498c-bd65-b873965e6aa7 · outbound

This paper cites Science , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Science , volume=

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.466315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.767881Z digest=sha256:1ff5d35667ca50ad14d1da9bdf48cc47eb0a1d15d616de8dd92be643d193dd11

Observation fea435a8-9fb5-4860-8f98-856f3ed10556 · outbound

This paper cites US Census Bureau , year=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality US Census Bureau , year=

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.457447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.770573Z digest=sha256:46172da9c494a0a4bc30e7c3061afabd3399efce7b8b2c3fa99934646f054f41

Observation e7818c98-8686-451f-a512-ec1f74be85d0 · outbound

This paper cites Journal of Computational and Graphical Statistics , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of Computational and Graphical Statistics , volume=

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.448015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.773512Z digest=sha256:31f2124a46ab6a6ff9a74c8442922e24550b8bd9094e0b79f8e4ef7f77c7552c

Observation 14b3fe44-a977-4f19-96e7-450eec7da569 · outbound

This paper cites Journal of Substance Abuse Treatment , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of Substance Abuse Treatment , volume=

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.438837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.776319Z digest=sha256:23af617797dd89f45d5a5772cd69916635e103458411eb15733187081b6fa973

Observation 49927d91-ffc1-44d3-b7a5-07bae0a4f57f · outbound

This paper cites Journal of computational and graphical statistics , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of computational and graphical statistics , volume=

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-11T23:36:14.779126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:14.779126Z digest=sha256:f9951d178de144eda094cc949308af37ebd59315e22de8315145c403ac1b7907

Observation 0080c074-0cc6-45dd-aece-9210464487ab · outbound

This paper cites Journal of Open Source Software , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Journal of Open Source Software , volume=

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.423395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.781962Z digest=sha256:de33ce6fd24ef867c1f986f30aab5962ff6affb483689bad23455766664544cf

Observation 7abd07ea-bd1a-45af-ae83-1e1f78e06142 · outbound

This paper cites , author=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality , author=

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-11T23:36:14.784834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:14.784834Z digest=sha256:dc6afcb298b0a180e703cf88ae61c0bd73181e30c3b50b8746bc1af4dbe3429a

Observation b0f9197a-df9a-4d98-aa24-6666957b1086 · outbound

This paper cites Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining , pages=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining , pages=

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.409994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.787621Z digest=sha256:bcde15a8bcf0262f3862dc0b82293b6569d18210c80c9a2f1af8ac3f14df3205

Observation 3f060501-cf7a-4085-8eb8-d4232c0ecff8 · outbound

This paper cites Science Advances , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Science Advances , volume=

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.401134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.790279Z digest=sha256:9a4946c161aba30ff7f212cc6aabdb54e868da69f6eadd5f693f85e6bc15f664

Observation ed53f7bc-eece-4b5c-9a88-fdc9eb55ca64 · outbound

This paper cites Health Services and Outcomes Research Methodology , volume=.

Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality Health Services and Outcomes Research Methodology , volume=

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:36:15.392701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T23:36:14.793307Z digest=sha256:1cbf530f0dfff551dd67ecfb8beaa2c93d39d28ee033636e3022d6dee2786f0c

Pith citing papers

No inbound Pith citation observations are available.