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Paper Citation Record · LEDGER

von Mises-Fisher distributions and their statistical divergence

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.05192.

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

pith.paper-citation-record.v1
2202.05192 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:47:39.805205Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T23:53:24.746593Z

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 b525643b-0382-4ee5-b277-6939a2b12856 · inbound

A Periodic Bayesian Flow for Material Generation cites this paper.

A Periodic Bayesian Flow for Material Generation von Mises-Fisher distributions and their statistical divergence

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-09T13:47:39.805205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:47:39.805205Z digest=sha256:e78b4aeee4b716f98e4032827a9b53161563e536c85b9e8392b3bfeb0e0ca017

Observation 1c970636-c48f-4229-a57e-0ace27157af9 · inbound

Comparing privacy notions for protection against reconstruction attacks in machine learning cites this paper.

Comparing privacy notions for protection against reconstruction attacks in machine learning von Mises-Fisher distributions and their statistical divergence

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-08T23:53:24.774431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T23:53:24.484891Z digest=sha256:6657e10be8fbed01354ccc5639d85b8f6d3bb0657dc7bde46075e90b2c2d4383