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Paper Citation Record · LEDGER

Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2006.16548.

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

pith.paper-citation-record.v1
2006.16548 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:35:18.055005Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:23:48.201525Z

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 62b0cfff-58dd-4d3b-bbc3-89007683b3bb · inbound

A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes cites this paper.

A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T21:35:18.055005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:35:18.055005Z digest=sha256:4e4b3d102adeb57697df8852621558f78da1493f24d309ac229356f6bb41e7a1

Observation 2a596450-7fb3-4cfc-93c5-779d1169f185 · inbound

A note on the relations between mixture models, maximum-likelihood and entropic optimal transport cites this paper.

A note on the relations between mixture models, maximum-likelihood and entropic optimal transport Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T17:44:27.405861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:44:27.405861Z digest=sha256:fb295ef1dcc0c3e92e898299c4103f10a8ee90130b14788565be144bb97941c9

Observation aeb0a1ba-6e17-4cb0-a293-75d26cd4b98b · inbound

On Model-Based Clustering With Entropic Optimal Transport cites this paper.

On Model-Based Clustering With Entropic Optimal Transport Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport

Reference 152

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:31:18.009871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-07T15:09:29.750492Z digest=sha256:d85a1a715dcc2250a11de93d4e6de0448713d1b230d2589df9739c42f33505a1

Observation 75b94124-3636-4305-8d82-72c2acd1c620 · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport

Reference 179

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:06:27.174767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-12T01:20:12.816671Z digest=sha256:d97b7da24d5509574b49ab55142a07d3f03c4f71ac0594e8363ebf49189525dc

Observation e15b0a7f-9559-487a-8ec8-9cb9ca1e3fca · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport

Reference 179

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:52:59.284914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-14T20:49:26.890463Z digest=sha256:3820d996028e9f1989db1044952cafdaf09c47ccf5da0b72f5d89cd8d0583a55

Observation 95820e38-3934-4ef4-b521-d78d733a7df5 · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport

Reference 179

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:23:48.204324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-20T22:20:03.150386Z digest=sha256:1829a4e6531689877265b48d49793267e61ca63fed1987a13a2af2cac83a8da9