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Paper Citation Record · LEDGER

Annealed Sinkhorn for Optimal Transport: convergence, regularization path and debiasing

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.11620.

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

pith.paper-citation-record.v1
2408.11620 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:57:12.977507Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:06:47.665232Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
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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 68617d8c-b18a-4fcb-8e84-ad868c805cf7 · inbound

Examining Entropic Unbalanced Optimal Transport and Sinkhorn Divergences for Spatial Forecast Verification cites this paper.

Examining Entropic Unbalanced Optimal Transport and Sinkhorn Divergences for Spatial Forecast Verification Annealed Sinkhorn for Optimal Transport: convergence, regularization path and debiasing

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T10:57:12.977507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:57:12.977507Z digest=sha256:34a77ff45fc7fcd8dfd5d14543d769e3eac1433d1adebc2ea3b734694729542f

Observation 1a20af81-4d3d-49f8-a86b-eed775637f38 · inbound

Unregularized limit of stochastic gradient method for Wasserstein distributionally robust optimization cites this paper.

Unregularized limit of stochastic gradient method for Wasserstein distributionally robust optimization Annealed Sinkhorn for Optimal Transport: convergence, regularization path and debiasing

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T10:40:35.435432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:40:35.435432Z digest=sha256:158d512c77d1dc79d16c7198984875539504ceb01438ea666d43148235c6f2c5

Observation 3f8dbc74-05be-4ccc-b372-73a744ac797e · inbound

Faster Computation of Entropic Optimal Transport via Stable Low Frequency Modes cites this paper.

Faster Computation of Entropic Optimal Transport via Stable Low Frequency Modes Annealed Sinkhorn for Optimal Transport: convergence, regularization path and debiasing

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:07.121764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:49:07.121764Z digest=sha256:3d29c445424fc5fa2420840eb5f4fd08c5ab71e4f4bcccbccb089d2f493befec

Observation 3df2abfb-49a3-4006-9da3-5bd82e15f517 · inbound

Learning Permutation from Structure Without Supervision cites this paper.

Learning Permutation from Structure Without Supervision Annealed Sinkhorn for Optimal Transport: convergence, regularization path and debiasing

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:23:59.884877Z

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=pdf_text observed=2026-06-29T22:22:58.959999Z digest=sha256:57b9c41b0c417c1870fdbdd0310b5309b39a71b34926b884ce03893936a71171

Observation 340bed9a-7025-43dd-8a8f-dfc18382c8b1 · inbound

Accelerating Sinkhorn for Entropy-Regularized Optimal Transport cites this paper.

Accelerating Sinkhorn for Entropy-Regularized Optimal Transport Annealed Sinkhorn for Optimal Transport: convergence, regularization path and debiasing

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-29T05:53:08.813621Z

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=pdf_text observed=2026-06-29T05:49:23.173224Z digest=sha256:48f43f07ab00ef432d204826cde28481f5e1e2eff8be2edd65387ffb6179763e

Observation 3b32b5ae-315f-4091-91f3-a1ec31724a51 · 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 Annealed Sinkhorn for Optimal Transport: convergence, regularization path and debiasing

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:44:27.702824Z

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=2026-06-30T08:38:03.985543Z digest=sha256:4fcc7182feca8e2f59fabc3a4ad967591cca2fa13b38bdfe82a473b312ced013

Observation 93ef8543-84fa-424f-8eed-8ecd4af6984a · 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 Annealed Sinkhorn for Optimal Transport: convergence, regularization path and debiasing

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:06:47.666530Z

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=2026-07-02T08:05:55.418491Z digest=sha256:9f2ca15ee334adea786004f0d7c9c01c7c3f8cee9b0d79149da473295f269ea7