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Paper Citation Record · LEDGER

Sinkhorn Divergences for Unbalanced Optimal Transport

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 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 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:11:59.388073Z

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

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 942493f0-071b-4253-bd64-3c4b0193ed96 · 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 Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 67

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no resolver link, observed 2026-08-11T10:57:13.317195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:57:13.317195Z digest=sha256:45003012e2c0deebece7cbb0a0027ded9edc506709a7f5cb131401fed1e49fc5

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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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=sha256:206f5413f399d6d6181f0a92ecc37183e00674fb0f439aca3e342d0b335fde3a

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

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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:b20fcc70328ede13ab1aa56323917e1052247f2b1dbbf99d7649668737205eb0

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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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=sha256:98d35f19f26a0d642f7da5bce0c6e76d5c0907897cd107f993c8f91c08727f21

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T08:42:34.961550Z digest=sha256:89dddd326b32f46603d4eb8597bfa9f35b21ed4e111ac9a79c0bc8577b926ba6

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-10T01:48:03.985614Z digest=sha256:07fa6e28d2932108f41842b86dfec7893e95de0b583ecf6d3f8811361dd92202

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:ff0fe2101ae8a0b7458fdef19b1b51392976e66875e1269b2e5354d310bd6ada

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

Resolution
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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T12:59:14.748190Z digest=sha256:bcbfc3fbe31c833e1b0207c31d809ec97a8ca2db53a96aea4178398b4c35c3e2

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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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-26T19:24:11.409158Z digest=sha256:dbe5b4c32c159abacc34e8bf815b6a92b47dec70ad9adeaa9adcff52d2ef2e33

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-30T11:26:55.141746Z digest=sha256:d88b2206edd9f4ff7c1ba0a91bacf022cbaa30a4a8dbeb9175b843fe83ae66e5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-25T22:09:11.474342Z digest=sha256:186fae32d33b4d2cc23dab2f6017f591aadbba45f7a0bf87bf1fd0079a54c8fc

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

Resolution
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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-29T05:16:50.471967Z digest=sha256:d10de6354e812395d06dca5408dbd11d4563206c3b439a5f7b669c32b7e80bcf

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-30T08:38:03.985543Z digest=sha256:c7fa9575fe6b8914bb2c83a6140147c9077f804851700156f541a81badf8b050

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-07-02T08:05:55.418491Z digest=sha256:81e9bd3629c44ac505a591c1df29fa7ae59cb8e89cb582db59d03bda89cd0e68

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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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:a89b7f1dea716d80c99714d95af8b12804aa8cd988bd98cd2a83a6a8b8e8b63e

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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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=sha256:3be4045f35174edd7be912522626cd7835c52d6f2edf05eb18d1e2feab131676

Observation d391bcf0-eeb9-485c-8dec-62e6c27ccbcf · inbound

Gromov-Wasserstein Quantization and Clustering: Structure, Rates, and Algorithms cites this paper.

Gromov-Wasserstein Quantization and Clustering: Structure, Rates, and Algorithms Sinkhorn Divergences for Unbalanced Optimal Transport

Reference 62

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no resolver link, observed 2026-08-12T12:11:59.388073Z

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Unavailable: canonical work link unavailable.

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