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Paper Citation Record · LEDGER

Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2111.03577.

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

pith.paper-citation-record.v1
2111.03577 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:03:56.642670Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:03:12.292786Z

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 c918087a-a84a-4c77-89c1-b0c4124651e1 · inbound

laplax -- Laplace Approximations with JAX cites this paper.

laplax -- Laplace Approximations with JAX Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:56.642670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:56.642670Z digest=sha256:28fcd8bfd36939e10d85777b66e7104784d492765ec813a31c91167e4f4b8ef5

Observation cad7554b-fa25-4732-9ac7-f856ad4fe91e · inbound

Scalable Variational Bayesian Fine-Tuning of LLMs via Orthogonalized Low-Rank Adapters cites this paper.

Scalable Variational Bayesian Fine-Tuning of LLMs via Orthogonalized Low-Rank Adapters Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:03:12.294300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T20:01:38.549171Z digest=sha256:ef2ee546605416fcd713f8c58d715b292bcf4635ec87e340c6d1c9e1d8edb5be