Paper Citation Record · LEDGER

Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.00809.

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

pith.paper-citation-record.v1
2402.00809 v5

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 2026-08-05T06:32:48.257954+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:26:28.534531Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0ee97d44-66d3-458b-934c-b16db519f5ce · inbound

Monte Carlo Stochastic Depth for Uncertainty Estimation in Deep Learning cites this paper.

Monte Carlo Stochastic Depth for Uncertainty Estimation in Deep Learning Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:26:03.113921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ad927f14-a2bd-414c-8857-cc09b3f6bf62 · inbound

Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation cites this paper.

Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:41:32.888890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7cbe2201-1f95-40dc-85d6-08bd09f9a13b · inbound

Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation cites this paper.

Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:28.534531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0b47dd9-1303-4302-b541-989450ccd339 · inbound

Scalable Bayesian Spatial Mixture Modelling for Remote Sensing Image Segmentation cites this paper.

Scalable Bayesian Spatial Mixture Modelling for Remote Sensing Image Segmentation Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-30T02:14:09.930226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.