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Paper Citation Record · LEDGER

Sinkhorn Divergences for Unbalanced Optimal Transport

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:1910.12958.

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

pith.paper-citation-record.v1
1910.12958 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:51.926466Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:00:05.200558Z

Reference resolution

0 of 0 outbound references displayed

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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 daddacaa-5731-4c90-af39-38eaa04cb3cb · inbound

Distributionally Robust Deep Q-Learning cites this paper.

Distributionally Robust Deep Q-Learning Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 51

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unresolved
no resolver link, observed 2026-08-07T14:26:51.926466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:51.926466Z digest=sha256:6a11af501dbcad89cb2320b3a81e62093f0d5d3c8fdf071d9ff08b1ee8b5622f

Observation 33741fee-9d58-47eb-a8a5-f5c0d6241253 · inbound

Distributionally Robust Shape and Topology Optimization cites this paper.

Distributionally Robust Shape and Topology Optimization Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-06T12:46:31.712920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:46:31.712920Z digest=sha256:770fd89bf962234f51bc234f3dffccf92a42adde49210cebbec3676f3ff46cae

Observation 34e35a0e-a10c-44da-b078-c9a0c1c7eb15 · inbound

Sharp Convergence Rates of Empirical Unbalanced Optimal Transport for Spatio-Temporal Point Processes cites this paper.

Sharp Convergence Rates of Empirical Unbalanced Optimal Transport for Spatio-Temporal Point Processes Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 13

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unresolved
no resolver link, observed 2026-08-05T10:21:55.330229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:21:55.330229Z digest=sha256:790e7a6f2674277415fd4997d13fe3fca0f10dd7d90d55ecb7d60e0976756d04

Observation b92ea5a7-7f94-4001-89c1-371f28a7ca9b · inbound

Multivariate Time Series Data Imputation via Distributionally Robust Regularization cites this paper.

Multivariate Time Series Data Imputation via Distributionally Robust Regularization Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 41

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verified exact
arxiv_id, observed 2026-05-16T08:42:36.964970Z

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=2026-05-16T08:42:34.961550Z digest=sha256:21463b38f2712e3134edfff70bf28d97de79771f8099561a7c48d0d1031a5d03

Observation f2ba6d01-e73a-4709-8ec2-b7d324760e35 · inbound

Debiasing optimal transport: classical and entropic cites this paper.

Debiasing optimal transport: classical and entropic Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 25

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verified exact
arxiv_id, observed 2026-05-11T13:21:22.824070Z

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=2026-05-10T01:48:03.985614Z digest=sha256:c499ad711118352feb17ae88824790894f73a4c730e1eda561331bd325c5f018

Observation d41fb5f8-9cff-444b-bdec-c6fc0dd7de4d · inbound

Debiasing optimal transport: classical and entropic cites this paper.

Debiasing optimal transport: classical and entropic Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 25

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unresolved
no resolver link, observed 2026-07-12T18:48:26.600702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T18:48:26.600702Z digest=sha256:0ef0672c1e00510e31c6e4c2915be86d0420dbe4bfa094a09ddd342c9bcffdfe

Observation 3a9b0af5-478a-42b6-b9cc-aa7cc6b4bb13 · inbound

Spherical Harmonic Optimal Transport: Application to Climate Models Comparisons cites this paper.

Spherical Harmonic Optimal Transport: Application to Climate Models Comparisons Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 46

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verified exact
arxiv_id, observed 2026-05-20T13:03:17.988529Z

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=2026-05-20T12:59:14.748190Z digest=sha256:49ced7cfd15ec19859c8bfc085c099be7186194c7fe142b24b716875a52f76d3

Observation 53ca2d29-fe57-4231-b0fc-27118e5aa1b3 · inbound

TimeLAVA: Learning-Agnostic Valuation for Time Series Data cites this paper.

TimeLAVA: Learning-Agnostic Valuation for Time Series Data Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 68

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metadata mismatch
arxiv_id, observed 2026-07-04T02:39:25.531380Z

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=2026-06-26T19:24:11.409158Z digest=sha256:f701b8be16ba60a9f75b55c76de8ecf2407bf6c5dbbc397acc504ba9b8761c57

Observation e9bebaa8-7c17-46b8-883e-83e7e0c0992c · inbound

TimeLAVA: Learning-Agnostic Valuation for Time Series Data cites this paper.

TimeLAVA: Learning-Agnostic Valuation for Time Series Data Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 68

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metadata mismatch
arxiv_id, observed 2026-06-30T11:34:38.135067Z

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=2026-06-30T11:26:55.141746Z digest=sha256:a8a09bd44a8650d7fd418a514c3433711a2624e65c6cf78a8bb834cc3539ebe8

Observation 58bcbc37-a7f1-434c-8e62-0cb18f0eda9c · inbound

Sample complexity of unbalanced entropic OT cites this paper.

Sample complexity of unbalanced entropic OT Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 21

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verified exact
arxiv_id, observed 2026-07-04T19:00:05.202051Z

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=2026-06-25T22:09:11.474342Z digest=sha256:db27ffdf3d86d1fb57efb9a3487263c06ace23c2b8a505e2c4e298315f88119d

Observation a9670b9b-b170-4c61-8ec0-c8622ed594a2 · inbound

RECAST: Model Reconstruction via Counterfactual-Aware Wasserstein Geometry under Limited Data cites this paper.

RECAST: Model Reconstruction via Counterfactual-Aware Wasserstein Geometry under Limited Data Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 68

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metadata mismatch
arxiv_id, observed 2026-06-29T17:33:45.655869Z

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=2026-06-29T05:16:50.471967Z digest=sha256:40b94cc44952a2dca6491f340411ca0cada5b5119f8e2d0960f4ae094b68ca13

Observation 4a3f7f52-d999-4d2f-82e1-ffb034f95ea2 · 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 Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 118

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metadata mismatch
arxiv_id, observed 2026-06-30T08:44:27.704170Z

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=2026-06-30T08:38:03.985543Z digest=sha256:72f30c77d7d0faafd22cb0f8a0fd8b8a1690633fbe1f36a64770adc07bd34243

Observation d0a9d8c1-8521-4456-9330-a815c33cb9ba · 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 Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 117

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metadata mismatch
arxiv_id, observed 2026-07-02T08:06:47.668363Z

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=2026-07-02T08:05:55.418491Z digest=sha256:0357c29256d28124b885a0fe7264ca810c9162c74d196e91ad60170791b192fb

Observation 2124a52a-29be-41d0-a6ab-09609391a48b · inbound

Distributional Determinantal Point Process for Repulsive Clustering of Distributions cites this paper.

Distributional Determinantal Point Process for Repulsive Clustering of Distributions Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 33

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unresolved
no resolver link, observed 2026-08-01T06:39:54.058560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:39:54.058560Z digest=sha256:33227fc4627b13dc477290d3995b0ec792e8829e79adb73bcfbf6b7b6b61bdcb

Observation 2ada7778-7c71-429b-83c8-ee7ff55ebd5f · inbound

Symmetrized Sinkhorn-Gibbs Inference for Oscillatory Inverse Problems cites this paper.

Symmetrized Sinkhorn-Gibbs Inference for Oscillatory Inverse Problems Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 42

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unresolved
no resolver link, observed 2026-08-01T00:25:04.703171Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:25:04.703171Z digest=sha256:727779f318ed6cbddf12f2422ea11e645416fe3ecf7ce972146ce2e8a5d2af1c