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Paper Citation Record · LEDGER

Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.09505.

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

pith.paper-citation-record.v1
1809.09505 v2

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:15:57.279246Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T21:35:44.066940Z

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 225ecbb7-b639-41bc-b322-2e1f50ed9c90 · inbound

Convergence Rates of Variational Inference in Sparse Deep Learning cites this paper.

Convergence Rates of Variational Inference in Sparse Deep Learning Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T14:15:57.279246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T14:15:57.279246Z digest=sha256:9acbee2bae93460384c6835337d7e2554ff90203299d3615d048684f392c5807

Observation f7ffdb66-c2cf-4571-8aca-8e8ca29007bf · inbound

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems cites this paper.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-08-04T21:35:44.172160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.282946Z digest=sha256:b5b52df5d052c1c1726c146bdd9d46b39686454c5fa7b7978eedb03db6423b9d