Pith. sign in

Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2501.12005.

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

pith.paper-citation-record.v1
2501.12005 v2

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:44:27.426108Z

measured 7 of 7 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac1ce43b-9597-455b-a6c7-b7c1f1e5f360 · outbound

This paper cites Entropic optimal transport is maximum-likelihood deconvolution.

A note on the relations between mixture models, maximum-likelihood and entropic optimal transport Entropic optimal transport is maximum-likelihood deconvolution

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:44:27.506917Z

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=2026-08-10T17:44:27.401858Z digest=sha256:4c5a6db079ee75b5ac4f97eaa6f7a6bead6f575b23b50c6c2d998414ae2f0004

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

This paper cites Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport.

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 0c09397d-c75c-4879-8cf7-67d098c877e6 · outbound

This paper cites A unified framework for hard and soft clustering with regularized optimal transport.

A note on the relations between mixture models, maximum-likelihood and entropic optimal transport A unified framework for hard and soft clustering with regularized optimal transport

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T17:44:27.410645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:44:27.410645Z digest=sha256:31e0fbab12bed68b122c2d33c1952f5e25da8ba202e78bc35bcf1b56c37d79e1

Observation 87f8dad9-425e-4f94-958c-a2c38d51e3d4 · outbound

This paper cites Computational optimal transport: With applications to data science.

A note on the relations between mixture models, maximum-likelihood and entropic optimal transport Computational optimal transport: With applications to data science

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T17:44:27.414540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:44:27.414540Z digest=sha256:27f39c898f8b861e37aae9c4396dfa8cb2f4a48ce54033854ee4c6dd0cb529f9

Observation 7b622ea4-1abd-4fc6-9425-6b141f4abc79 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

A note on the relations between mixture models, maximum-likelihood and entropic optimal transport Sinkhorn distances: Lightspeed computation of optimal transport

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:44:27.491325Z

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=2026-08-10T17:44:27.418605Z digest=sha256:b8d01cee281b591140a2f7cedb0e034329095dd12432e79a2d7b1427a9967c41

Observation 6a63ac2a-710f-4f4d-9df6-b3210338c745 · outbound

This paper cites Machine learning: a probabilistic perspective.

A note on the relations between mixture models, maximum-likelihood and entropic optimal transport Machine learning: a probabilistic perspective

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T17:44:27.422312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:44:27.422312Z digest=sha256:f9e4966f0bbc7c03950446d1f26fc09221388386dfb8c0d34491f0564763ef92

Observation dae8a709-c9be-4c32-b0b2-6d45f59c5872 · outbound

This paper cites Courty, and Valentin Emyia.

A note on the relations between mixture models, maximum-likelihood and entropic optimal transport Courty, and Valentin Emyia

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:44:27.474853Z

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=2026-08-10T17:44:27.426108Z digest=sha256:5d4476761d105e60b2917f3158b152551322ec778d508c0e90521aaf03410064

Pith citing papers

No inbound Pith citation observations are available.