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Paper Citation Record · LEDGER

R2 priors for Grouped Variance Decomposition in High-dimensional Regression

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2507.11833.

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

pith.paper-citation-record.v1
2507.11833 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:09:46.154652Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

14 of 14 outbound references displayed

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  • verified fuzzy0
  • unresolved8
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 278e8f0c-ae5c-4ba0-bd7c-073314f59226 · outbound

This paper cites Dependency-Aware Shrinkage Priors for High Dimensional Regression.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression Dependency-Aware Shrinkage Priors for High Dimensional Regression

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:09:47.314862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 260e895e-a246-47d8-bd53-b9f04049263c · outbound

This paper cites Stan: A Probabilistic Programming Language.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression Stan: A Probabilistic Programming Language

Reference 30

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verified exact
raw_fallback, observed 2026-08-06T17:09:47.017298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8ffec35f-3265-4dca-8cb0-8bd8267f161c · outbound

This paper cites Flexible Bayesian MIDAS: time-variation, group-shrinkage and sparsity.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression Flexible Bayesian MIDAS: time-variation, group-shrinkage and sparsity

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:45.491516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 254ce0c8-1b17-49ea-918b-0803f0da1931 · outbound

This paper cites Supple- ment to.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression Supple- ment to

Reference 34

Resolution
verified exact
raw_fallback, observed 2026-08-06T17:09:47.203476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d9b63588-c186-482d-8995-735c04e76570 · outbound

This paper cites MCMC using Hamiltonian dynamics.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression MCMC using Hamiltonian dynamics

Reference 110

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:45.591535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 28d9489d-f1cf-4743-9b7f-1c18d6c13dbe · outbound

This paper cites Superconductivity in Tetragonal LaPt_{2-x}Ge_{2+x}.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression Superconductivity in Tetragonal LaPt_{2-x}Ge_{2+x}

Reference 228

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:46.154652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cae23644-4862-42af-a012-a8a35ae09902 · outbound

This paper cites rstanarm: Bayesian applied regression modeling via Stan.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression rstanarm: Bayesian applied regression modeling via Stan

Reference 534

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:45.411392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:09:45.411392Z digest=sha256:0e9a9da114218fa4328673b5550fb0c9bd5db7af277a409a2ae4501178c6c5a9

Observation fdb564fc-8519-4da7-86eb-f0cd28333962 · outbound

This paper cites A survey of Bayesian predictive methods for model assessment, selection and comparison.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression A survey of Bayesian predictive methods for model assessment, selection and comparison

Reference 718

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:46.072940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:09:46.072940Z digest=sha256:452bd887c2128a279d94e8ec7900c57c114650396c372f2072b4c10ed9f2b1d0

Observation a3b82a4f-8fad-415b-bbf5-7c887656b9fd · outbound

This paper cites Uncertainty Quantification for the Horseshoe (with Discussion).

R2 priors for Grouped Variance Decomposition in High-dimensional Regression Uncertainty Quantification for the Horseshoe (with Discussion)

Reference 1000

Resolution
verified exact
doi, observed 2026-08-06T17:09:46.516144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:09:45.809756Z digest=sha256:f074719e5dae373d604ddd8fb2b053995c9b6f8c7d01e70e13949942e78cc160

Observation 2b5dcfef-0e20-4c87-852e-a37245f99e92 · outbound

This paper cites Sparsity information and regularization in the horseshoe and other shrinkage priors.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression Sparsity information and regularization in the horseshoe and other shrinkage priors

Reference 1274

Resolution
verified exact
doi, observed 2026-08-06T17:09:46.352870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f7fe8491-e54e-4596-a92b-370977a7613b · outbound

This paper cites Generalized Decomposition Priors on R2.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression Generalized Decomposition Priors on R2

Reference 1767

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:45.126179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b179d881-a019-46eb-a268-d44ea4141283 · outbound

This paper cites On the Distribution of the Product of Independent Beta Random Variables — Applications.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression On the Distribution of the Product of Independent Beta Random Variables — Applications

Reference 2101

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:45.338839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:09:45.338839Z digest=sha256:5d7c53eae359274ef3f1b2424c7a85fc16028f6d904821576d375e7eacfedc26

Observation 25133efd-4aad-4f03-9fd6-7040af519d97 · outbound

This paper cites Conditions for posterior contraction in the sparse normal means problem.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression Conditions for posterior contraction in the sparse normal means problem

Reference 2618

Resolution
verified exact
doi, observed 2026-08-06T17:09:46.700898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:09:45.687733Z digest=sha256:2ed4e20685d27f7a80e28c3016fc79c803ff8ee28b11f032a5162d98de02adbc

Observation 30167ada-f4dd-4da6-84cd-ed554d61c87e · outbound

This paper cites Local Shrinkage Rules, L´ evy Processes and Regularized Regression.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression Local Shrinkage Rules, L´ evy Processes and Regularized Regression

Reference 5051

Resolution
unresolved
no resolver link, observed 2026-08-06T17:09:46.001135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.