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Paper Citation Record · LEDGER

inlabru: software for fitting latent Gaussian models with non-linear predictors

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.00791.

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

pith.paper-citation-record.v1
2407.00791 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:49:01.163549Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:59:39.603299Z

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 203b54c9-d91b-4dd0-b46d-3a265cab7c15 · inbound

Advances in Approximate Bayesian Inference for Models in Epidemiology cites this paper.

Advances in Approximate Bayesian Inference for Models in Epidemiology inlabru: software for fitting latent Gaussian models with non-linear predictors

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-16T05:49:01.163549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:49:01.163549Z digest=sha256:c87badbf0fb5e72e37e992e3cf291f8bc7b7c455ee0f014742de365138fd42b1

Observation 92ae73d0-3525-4ad1-aec6-1ac0e5de9cbe · inbound

Linking climate and dengue in the Philippines using a two-stage Bayesian spatio-temporal model cites this paper.

Linking climate and dengue in the Philippines using a two-stage Bayesian spatio-temporal model inlabru: software for fitting latent Gaussian models with non-linear predictors

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T22:13:00.979889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:13:00.979889Z digest=sha256:7e8228afd63748237fcd591e9c04e4776f2f14b616ea3f4365225c885a9a5bc5

Observation 93a53193-948b-4676-9e35-3a6e7850bcf1 · inbound

Influence of river incision on landslides triggered in Nepal by the Gorkha earthquake: Results from a pixel-based susceptibility model using inlabru cites this paper.

Influence of river incision on landslides triggered in Nepal by the Gorkha earthquake: Results from a pixel-based susceptibility model using inlabru inlabru: software for fitting latent Gaussian models with non-linear predictors

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T18:18:16.113600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:18:16.113600Z digest=sha256:40f8f5f5871d55f69b5cce7d5838d68f782eea8b7cb849c595dcf1c4bd950f88

Observation e7a8afff-cf14-4561-b967-7854715b129b · inbound

Overcoming Standardization: Revealing Hidden Age Patterns of Suicide with Spatiotemporal Models cites this paper.

Overcoming Standardization: Revealing Hidden Age Patterns of Suicide with Spatiotemporal Models inlabru: software for fitting latent Gaussian models with non-linear predictors

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:59:39.726679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:59:37.695701Z digest=sha256:7d38bcd9f47540f393ea9a221446782cc10d378db64a4bf010002223406ecc4d