Pith. sign in

Paper Citation Record · LEDGER

Better together? Statistical learning in models made of modules

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1708.08719.

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

pith.paper-citation-record.v1
1708.08719 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:24:54.945374Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:46:27.434770Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d41e1aef-7ffb-40f0-9d0f-de61221cdcf6 · inbound

Forecasting Influenza Hospitalizations Using a Bayesian Hierarchical Nonlinear Model with Discrepancy cites this paper.

Forecasting Influenza Hospitalizations Using a Bayesian Hierarchical Nonlinear Model with Discrepancy Better together? Statistical learning in models made of modules

Reference 2008

Resolution
unresolved
no resolver link, observed 2026-08-11T12:24:54.945374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:24:54.945374Z digest=sha256:b99fb734e1578cf750dd81871ff7c6df068fbfe917a9a17f6fc3c1b3eb0fab92

Observation 10f9b3e5-4f86-4266-80b4-83557f04806f · inbound

Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking cites this paper.

Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking Better together? Statistical learning in models made of modules

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:36:09.692306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:36:09.692306Z digest=sha256:1c3a27b43b2b2cc5f5310f0c0c05c62f362fe1fc44d003436e3f954220410bb5

Observation 58dd257a-e99d-4381-bfe2-1b36f77eee9d · inbound

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

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

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:07.962468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:07.962468Z digest=sha256:6b1ce5bec875b8569aa3b8595fad1fb6c086d6b99e4b56f84cd34e4bde8d7cfc

Observation 80dd8fd1-1f21-411c-a4c6-d5d6240bb0a8 · inbound

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction cites this paper.

Modelling Under-Reported Data: Pitfalls of Na\"ive Approaches and a New Statistical Framework for Epidemic Curve Reconstruction Better together? Statistical learning in models made of modules

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T17:49:29.124836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:49:29.124836Z digest=sha256:2f53c31e2cea932edbc5377e01afb13afbb56bb12e010fa950cdc75ddbf66a7d

Observation 221c1a1b-710c-442b-9eb5-036c8ada0d3c · inbound

Bayesian X-Learner: Calibrated Posterior Inference for Heterogeneous Treatment Effects under Heavy-Tailed Outcomes cites this paper.

Bayesian X-Learner: Calibrated Posterior Inference for Heterogeneous Treatment Effects under Heavy-Tailed Outcomes Better together? Statistical learning in models made of modules

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:10:15.141171Z

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=pdf_text observed=2026-05-07T09:19:03.878106Z digest=sha256:560f51957acb05995e99916fae8207588eb7d836fecacf3f262c7fdace85afe6