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Paper Citation Record · LEDGER

Efficient EM Training of Gaussian Mixtures with Missing Data

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1209.0521.

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

pith.paper-citation-record.v1
1209.0521 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:55:26.673110Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:55:26.840900Z

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 80859910-0b73-4e1d-9a31-91ac925eb602 · inbound

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension cites this paper.

Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Efficient EM Training of Gaussian Mixtures with Missing Data

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:55:26.847424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T13:55:26.673110Z digest=sha256:82d4ad29fb3713c190dced8e6988a911b5f349a7ccf762e139384e674c04af0e