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Paper Citation Record · LEDGER

Generalized Multivariate Functional Additive Mixed Models for Location, Scale, and Shape

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.20995.

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

pith.paper-citation-record.v1
2407.20995 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:57:13.206728Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T22:24:26.975379Z

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 ed740a08-1455-4162-a57a-e457bd30bc8e · inbound

Reducing nuisance prior sensitivity via non-linear reparameterization, with application to EFT analyses of large-scale structure cites this paper.

Reducing nuisance prior sensitivity via non-linear reparameterization, with application to EFT analyses of large-scale structure Generalized Multivariate Functional Additive Mixed Models for Location, Scale, and Shape

Reference 74

Resolution
verified exact
local_arxiv, observed 2026-08-11T22:24:26.979402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T22:24:26.939931Z digest=sha256:83db6f1454efbba2caba08132a4db4a57594bede0e6933961497214816f5c820

Observation 4e2130be-24ab-4a8f-afae-0aaa5286a334 · inbound

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models cites this paper.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Generalized Multivariate Functional Additive Mixed Models for Location, Scale, and Shape

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-12T00:57:13.206728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T00:57:13.206728Z digest=sha256:6524108b9a3a98c3f98ac25bde5903902bce674cf8db3a1f121ccadc593bb30c