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Paper Citation Record · LEDGER

Optimal Transport losses and Sinkhorn algorithm with general convex regularization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2007.00976.

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

pith.paper-citation-record.v1
2007.00976 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:57:57.612044Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:06:47.595617Z

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 694b3c7c-6f5d-482d-8004-a875d5c9d834 · inbound

NTIRE 2025 Image Shadow Removal Challenge Report cites this paper.

NTIRE 2025 Image Shadow Removal Challenge Report Optimal Transport losses and Sinkhorn algorithm with general convex regularization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:57:57.612044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:57:57.612044Z digest=sha256:831e659fb03b43627e5c6093d477eb735794e911bb52b6920f2bb25e1f9a0b14

Observation 0895210c-cbc9-4283-9732-20f75d4bd623 · inbound

Equivalence of optimal transport problems to regularization on the family of f-divergences cites this paper.

Equivalence of optimal transport problems to regularization on the family of f-divergences Optimal Transport losses and Sinkhorn algorithm with general convex regularization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:10:29.080422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T13:50:32.613011Z digest=sha256:ed530c31feec5aae8cad9f2ebde7acd6319a1efec94a76942f066f1264a9c2ce

Observation 5146a1fd-4eea-4984-83a1-f8a6f0b3e4a5 · inbound

Sharp $O(1/k)$ convergence rate for the Sinkhorn algorithm via a local analysis cites this paper.

Sharp $O(1/k)$ convergence rate for the Sinkhorn algorithm via a local analysis Optimal Transport losses and Sinkhorn algorithm with general convex regularization

Reference 66

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T08:44:27.727025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T08:38:03.985543Z digest=sha256:8b3d47c30532f3825caa122cdc26371180b3932f88b49ecf766a362d552ef444

Observation 49831db4-2857-40dd-9f0e-ee08031344da · inbound

Effective dynamics of the Sinkhorn algorithm in the regime of low entropy regularization cites this paper.

Effective dynamics of the Sinkhorn algorithm in the regime of low entropy regularization Optimal Transport losses and Sinkhorn algorithm with general convex regularization

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T08:06:47.597052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-02T08:05:55.418491Z digest=sha256:7d2ea6cc3269ea15aea500a0a2f2d32a19adc51d7cfb9e6bde52bdf9f9db1b8a