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Paper Citation Record · LEDGER

Learning Generative Models with Sinkhorn Divergences

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1706.00292.

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

pith.paper-citation-record.v1
1706.00292 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T17:50:27.555350Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

73
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0d4cbc5e-0311-4e2c-90fe-08daaed6f93e · inbound

Adversarial Computation of Optimal Transport Maps cites this paper.

Adversarial Computation of Optimal Transport Maps Learning Generative Models with Sinkhorn Divergences

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T17:51:05.914161Z

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=pdf_text observed=2026-05-25T17:50:27.555350Z digest=sha256:820d3c3142991eb8eba39a9a29ef6db768777d093c1fd6a6a8f9415b687d85df

Observation 05cdbd09-64fe-4745-81db-9b9738ca2ee2 · inbound

GLUE: Coordinating Pre-Trained Generative Models for System-Level Design cites this paper.

GLUE: Coordinating Pre-Trained Generative Models for System-Level Design Learning Generative Models with Sinkhorn Divergences

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-16T20:28:23.595487Z

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=pdf_text observed=2026-05-16T20:25:49.836532Z digest=sha256:72428e287d1f574232888016241acddfbbec71842f4c07e5133847616b9aac00

Observation 275db4aa-e111-498d-b0a6-8d3909a63d69 · inbound

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

On Model-Based Clustering With Entropic Optimal Transport Learning Generative Models with Sinkhorn Divergences

Reference 158

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T00:31:18.025416Z

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=2026-05-07T15:09:29.750492Z digest=sha256:63ece3abe5834e71d40b45ecb26b72a2b67d2221ffcf8f1064d4f4ba979b3779