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Paper Citation Record · LEDGER

Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.04288.

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

pith.paper-citation-record.v1
2303.04288 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:16:49.609495Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:16:54.507252Z

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 8f0e15e5-bf4b-4e37-8fbb-f74a56a2acc8 · inbound

Energy-independent tomography of Gaussian states cites this paper.

Energy-independent tomography of Gaussian states Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models

Reference 102

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:16:54.614184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T18:16:49.609495Z digest=sha256:f51a1f82db9c045e3ad48301fe576e086a7b20db8a70801840e50fab1287b2e8

Observation 9c40ed75-b228-4d7c-a032-5fab3acafdd2 · inbound

Mixtures Closest to a Given Measure: A Semidefinite Programming Approach cites this paper.

Mixtures Closest to a Given Measure: A Semidefinite Programming Approach Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T14:54:57.626987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:54:57.626987Z digest=sha256:34fbb83ac8fa8122ba6ae3d3d7aed55732b29fcf7d3695747f20be4c7ab4a1e9