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Paper Citation Record · LEDGER

Bayesian Mixtures Models with Repulsive and Attractive Atoms

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.09034.

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

pith.paper-citation-record.v1
2302.09034 v4

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 2026-08-07T19:03:47.117300Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:35:42.204257Z

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 576538a5-cb37-4671-9312-033fdea35a86 · inbound

Extended feature allocation models cites this paper.

Extended feature allocation models Bayesian Mixtures Models with Repulsive and Attractive Atoms

Reference 1448

Resolution
unresolved
no resolver link, observed 2026-08-07T19:03:47.117300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:03:47.117300Z digest=sha256:357c485b2b030c038d034ee19f106336b803980e47a0ea73eed5413ee0086152

Observation cf2c22d8-7365-4f0e-8c67-46a261907c6f · inbound

Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution cites this paper.

Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution Bayesian Mixtures Models with Repulsive and Attractive Atoms

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:35:42.304020Z

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=arxiv_source observed=2026-08-07T12:35:30.382665Z digest=sha256:c2bd75ad641ef9f1eeb8f605476fa48b783d41aada56808ff79494b696d2adb2