Pith. sign in

Paper Citation Record · LEDGER

Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T18:16:49.609495Z digest=sha256:cf740870115ed74d00f69e37379447fc6f3d4bfa4d44fe81dd005fbf08192fa2

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=sha256:3e7d1d3d78c51f7b3f5fee1c15aa5f9d435a76a124b7272cd0f53762d1b9d6da