Pith. sign in

Paper Citation Record · LEDGER

Predictive performance of power posteriors

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.08806.

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

pith.paper-citation-record.v1
2408.08806 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:23:58.361298Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T19:57:19.682336Z

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 2dd724fc-96c9-4035-8557-721073578322 · inbound

Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning cites this paper.

Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning Predictive performance of power posteriors

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T14:23:58.361298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:23:58.361298Z digest=sha256:bc17d89d2421fc0ba3d725c0998bcf5d403fae2743c0284721f5a67c72d26c89

Observation 90d9b2fe-985a-4bc6-bc80-fab30ef38f98 · inbound

When can a posterior predictive check identify the learning rate? Exact degeneracy in Gaussian models and implications for Generalised Bayesian Inerence cites this paper.

When can a posterior predictive check identify the learning rate? Exact degeneracy in Gaussian models and implications for Generalised Bayesian Inerence Predictive performance of power posteriors

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T19:57:19.683914Z

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=2026-06-27T21:12:42.522753Z digest=sha256:f16b98d3155b192af7a4046852042f3c1a3a152286f63c050343197b482225cd