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Paper Citation Record · LEDGER

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties

As of 8 August 2026, this Paper Citation Record lists 100 of 133 outbound references and 2 inbound Pith citation observations for arXiv:2507.11387.

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

pith.paper-citation-record.v1
2507.11387 v1

Coverage vector

measured 100 of 133 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-06T17:19:24.967183Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T18:31:00.675670Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T18:35:00.383537Z

Reference resolution

100 of 133 outbound references displayed

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  • verified fuzzy19
  • unresolved78
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External citation measurements

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Outbound references

Observation 5734d1bc-14e4-4724-94f8-4a8464062548 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 1

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Observation 53d76f9c-3279-4620-90b6-70f7859db7a7 · outbound

This paper cites Models Methods Appl.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Models Methods Appl

Reference 2

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Observation aef9a764-5f94-41cb-85eb-1f1d1ed8e184 · outbound

This paper cites Gradient flows: in metric spaces and in the space of probability measures, (Springer Science & Business Media, 2005).

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Gradient flows: in metric spaces and in the space of probability measures, (Springer Science & Business Media, 2005)

Reference 3

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Observation e3641bd6-b782-46d4-a259-bd982b2739c5 · outbound

This paper cites and Amiel, Y.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Amiel, Y

Reference 4

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Observation 97219442-25bb-4f61-88cc-0f906dcb779b · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 5

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Observation d991aaaf-4848-4b5a-bea7-af9131d47cb4 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 6

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Observation 59c2b272-6e64-4401-b3c3-3663c08c6906 · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 7

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Observation abfdbe2c-39e9-4ab9-96c5-f2f445408a95 · outbound

This paper cites Mathematical Models and Methods in Applied Sciences(2025), 35(05), 1267-1296.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Mathematical Models and Methods in Applied Sciences(2025), 35(05), 1267-1296

Reference 8

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Observation a0685e58-d903-434a-b2fe-fcf962958215 · outbound

This paper cites Matematica e Applicazioni, 31 (2020) 627–649.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Matematica e Applicazioni, 31 (2020) 627–649

Reference 9

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 10

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Observation fbe02e1c-fb52-4197-b3b3-b607f6265fcd · outbound

This paper cites Matematica e Applicazioni(2025).

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Matematica e Applicazioni(2025)

Reference 11

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Observation b6aa923a-6c59-411a-8d79-a50e02dd2bbf · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 12

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Observation 3e96169b-906a-43dd-ba03-2acc6e654c66 · outbound

This paper cites and Raffinetti, E., A Rank Graduation Box for SAFE artificial intelligence, Expert Systems with applications, 259 (2025).

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Raffinetti, E., A Rank Graduation Box for SAFE artificial intelligence, Expert Systems with applications, 259 (2025)

Reference 13

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Observation ac081bab-8c46-4801-bd4f-2fc1914ae15b · outbound

This paper cites Diffusions hypercontractives.Séminaire de Probabilités XIX 1983/84: Proceedings.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Diffusions hypercontractives.Séminaire de Probabilités XIX 1983/84: Proceedings

Reference 14

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Observation c349a461-8633-4101-89c4-84041dada99e · outbound

This paper cites and Mutuswami, S., Inequality measures: the Kolkata index in comparison with other measures,Frontiers of Physics, 8 (2020) 562182.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Mutuswami, S., Inequality measures: the Kolkata index in comparison with other measures,Frontiers of Physics, 8 (2020) 562182

Reference 15

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Observation bf68b199-c296-479e-a08e-31f89c9d61bc · outbound

This paper cites and Daudin, J.J., Generalization of the Mahalanobis distance in the mixed case, Journal of Multivariate Analysis53 (2) (1995) 332–342.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Daudin, J.J., Generalization of the Mahalanobis distance in the mixed case, Journal of Multivariate Analysis53 (2) (1995) 332–342

Reference 16

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Observation 9a8692ab-eee4-4fc0-b8b5-f87ca3f299eb · outbound

This paper cites and Sejnowski, T.J.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Sejnowski, T.J

Reference 17

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Observation 0739d334-0dbb-4c75-ba10-6cd3a5a18307 · outbound

This paper cites The Cramer Distance as a Solution to Biased Wasserstein Gradients.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties The Cramer Distance as a Solution to Biased Wasserstein Gradients

Reference 18

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Observation 798d6e25-eaa4-48e8-ab34-916aaa56c723 · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

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Observation 154d142f-b002-4e1a-8dfe-2d04c8dee1d8 · outbound

This paper cites and Egidi, M., From Herbert A.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Egidi, M., From Herbert A

Reference 20

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Observation 2ec7a727-4c0f-40e6-b022-b58ef93472d0 · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 21

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Observation d456a98c-add4-4b84-98ae-d411bf53a41b · outbound

This paper cites 19, (2019) 1113–1143.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties 19, (2019) 1113–1143

Reference 22

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Observation d0ab7d7b-cbe7-4e3b-bf11-00579f1e8b28 · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

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Observation 366c38f9-b28e-47d5-b220-46b6600468cc · outbound

This paper cites and Toscani, G., Decay rates in probability metrics towards homogeneous cooling states for the inelastic Maxwell model,Journal of Statistical Physics, 124 (2-4) (2006) 625–653.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Toscani, G., Decay rates in probability metrics towards homogeneous cooling states for the inelastic Maxwell model,Journal of Statistical Physics, 124 (2-4) (2006) 625–653

Reference 24

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Observation f274eebf-e366-4ccd-b830-966f87b43f52 · outbound

This paper cites and Murua, A., Splitting methods for differential equations.Acta Numerica, 33 (2024), 1–161.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Murua, A., Splitting methods for differential equations.Acta Numerica, 33 (2024), 1–161

Reference 25

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Observation af42e118-96c4-4d7d-a9bb-7e144def85c6 · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

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Observation ba1bfe53-094d-41f0-983b-f8df731ceb6e · outbound

This paper cites V., Cercignani, C, Gamba I., On the self-similar asymptotics for generalized nonlinear kinetic Maxwell models.Comm.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties V., Cercignani, C, Gamba I., On the self-similar asymptotics for generalized nonlinear kinetic Maxwell models.Comm

Reference 28

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Observation 0094bcc0-943b-4e86-b1f2-37544cfe9177 · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

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Observation 629e517e-4e9a-4cd9-aa21-3b45bbdb7025 · outbound

This paper cites Weitere Studien über das Wärmegleichgewicht unter Gasmolekülen.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Weitere Studien über das Wärmegleichgewicht unter Gasmolekülen

Reference 30

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Observation 1dda4a85-ac7e-4cfc-8478-5a387b9d70e2 · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

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Observation 1d3e13bf-5fe0-42b0-a8e7-786d85457a6e · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 32

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Observation 7eae8c72-2310-4ee4-a591-81ac0afb3df0 · outbound

This paper cites Hypocoercivity meets lifts.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Hypocoercivity meets lifts

Reference 33

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Observation 01d8bd1c-883f-46c4-b42d-f21ad0d207cd · outbound

This paper cites Kinetic Optimal Transport (OTIKIN) -- Part 1: Second-Order Discrepancies Between Probability Measures.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Kinetic Optimal Transport (OTIKIN) -- Part 1: Second-Order Discrepancies Between Probability Measures

Reference 34

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local_arxiv, observed 2026-08-06T17:19:25.373825Z

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Observation 77908111-a26d-434c-86ef-e36a162913ed · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 35

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Observation 8d504f25-a79a-456d-8333-3243635f4644 · outbound

This paper cites Explicit convergence rates of underdamped Langevin dynamics under weighted and weak Poincar\'e--Lions inequalities.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Explicit convergence rates of underdamped Langevin dynamics under weighted and weak Poincar\'e--Lions inequalities

Reference 36

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local_arxiv, observed 2026-08-06T17:19:25.216475Z

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Reference 37

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 38

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 39

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Reference 40

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This paper cites and Toscani, G., Contractive probability metrics and asymptotic behavior of dissi- pative kinetic equations,Rivista di Matematica dell’Università di Parma, 6 (2007) 75–198.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Toscani, G., Contractive probability metrics and asymptotic behavior of dissi- pative kinetic equations,Rivista di Matematica dell’Università di Parma, 6 (2007) 75–198

Reference 41

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Reference 42

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Reference 43

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 44

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 45

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Observation 81d29431-6406-413c-bc34-12e313b58281 · outbound

This paper cites K., Chakraborti, A., Chakravarty S.R., and Chatterjee, A.Econophysics of In- come and Wealth Distributions.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties K., Chakraborti, A., Chakravarty S.R., and Chatterjee, A.Econophysics of In- come and Wealth Distributions

Reference 46

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Observation bc307857-587c-4ae8-8418-13e9dfe78f0c · outbound

This paper cites New Economic Windows Series, Springer International, Switzerland, 2017.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties New Economic Windows Series, Springer International, Switzerland, 2017

Reference 47

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Observation 4f90b77b-c67e-4f3d-92c8-1344ab9e1509 · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 48

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 49

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Observation 236a3b9d-08fc-42bc-b4e5-40dd96c11701 · outbound

This paper cites Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration

Reference 50

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 51

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Observation 3300de56-7dee-4851-9ab2-4a3113def7f4 · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 52

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Observation 028f98a2-dc6e-49fc-99fb-c01c971c5ccf · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 53

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 54

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Observation 20024c30-95dc-49f7-89e6-9e09c032b672 · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 55

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Observation 400b3c79-cdf5-4a30-bcc5-93a9372dcd41 · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 56

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Observation e5c5e2c6-d323-4c26-af55-796ee8be3540 · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 57

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Observation e865e84d-3aba-44e4-9cc5-36f58c752575 · outbound

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From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 58

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Observation f7e776b5-74f3-418a-bb2f-d5b3550cbdc6 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 59

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 49ed35ac-e22f-4733-984d-76b7e99dad37 · outbound

This paper cites On the equivalence between static and dynamic optimal transport governed by linear control systems.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties On the equivalence between static and dynamic optimal transport governed by linear control systems

Reference 60

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Observation 05cf0958-e6c2-4e87-b6c7-68b8c1587dcc · outbound

This paper cites Benamou-Brenier Formulation of Optimal Transport for Nonlinear Control Systems on Rd.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Benamou-Brenier Formulation of Optimal Transport for Nonlinear Control Systems on Rd

Reference 61

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Observation a5b4cc3c-ff10-47d8-a24e-6c5c079c3d1b · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 62

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Observation 4f3b9d0a-b1ef-4916-b656-c652786a7d6e · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 63

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Observation f3bc54fd-5277-4dae-82b6-0a7e1feef64a · outbound

This paper cites and Gangbo, F., Differential equations methods for the Monge-Kantorovich mass transfer problem, (American Mathematical Soc., 1999).

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Gangbo, F., Differential equations methods for the Monge-Kantorovich mass transfer problem, (American Mathematical Soc., 1999)

Reference 64

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Source-reported events for the cited work

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Observation a1579729-a3bb-46f0-9262-a7906f6400c3 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 65

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Observation 2daa4e62-1a30-465b-8a0b-725e25f5f516 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 66

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Observation 0813ddb0-3d2f-4ea0-82c2-a12aeb19bf01 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 67

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 56e9f77d-98aa-4c7c-b20b-6d30e22a0a97 · outbound

This paper cites English translation inMetron, 3–38, (2005).

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties English translation inMetron, 3–38, (2005)

Reference 68

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verified fuzzy
raw_fallback, observed 2026-08-06T17:19:28.200637Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c7f36256-a367-4548-92ce-ddac0b1bdc0f · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 69

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unresolved
raw_fallback, observed 2026-08-06T17:19:28.024385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ff83537d-47bc-4ce8-ab4d-6a09e7174606 · outbound

This paper cites and Raffinetti, E., SAFE Artificial Intelligence in Finance,Finance Research Letters, 56 (2023).

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Raffinetti, E., SAFE Artificial Intelligence in Finance,Finance Research Letters, 56 (2023)

Reference 70

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 86713294-61fc-49af-a153-7d51009654eb · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 71

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raw_fallback, observed 2026-08-06T17:19:27.653273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d9f6ef77-8056-4e98-b434-5cdddf9199f3 · outbound

This paper cites and Toscani, G., Fourier-based distances and Berry-Esseen like inequalities for smooth densities,Monatshefte für Mathematik, 135 (2) (2002) 115–136.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Toscani, G., Fourier-based distances and Berry-Esseen like inequalities for smooth densities,Monatshefte für Mathematik, 135 (2) (2002) 115–136

Reference 72

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raw_fallback, observed 2026-08-06T17:19:27.486675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8455ffab-8b18-4adb-a0ce-8353c12fe8b1 · outbound

This paper cites and Schmid, F., A multivariate extension of the Lorenz curve based on copulas and a related multivariate Gini coefficient,The Journal of Economic Inequality,20 (2022) 727–748.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Schmid, F., A multivariate extension of the Lorenz curve based on copulas and a related multivariate Gini coefficient,The Journal of Economic Inequality,20 (2022) 727–748

Reference 73

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verified fuzzy
raw_fallback, observed 2026-08-06T17:19:27.319715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:23.155399Z digest=sha256:d1c48dd191fc25cdb5b4c7153b2497ca8924bd795f3a4971f2662ab4c637d6a6

Observation f8bc3c74-feda-454e-ad33-32241f19cc7e · outbound

This paper cites and Naiman, D.Q.,Assessing inequality, (Sage, Los Angeles, 2010).

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Naiman, D.Q.,Assessing inequality, (Sage, Los Angeles, 2010)

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:19:27.094340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:23.295002Z digest=sha256:221c8f5a18008775491d842b8605d51762a9df0150410101134f2968ba222268

Observation 0e5b3864-1c09-4189-b892-201361ca0d0e · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:19:26.906317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:23.409555Z digest=sha256:15a2354789895699016a0542a8c5a4abb4f1987c4fe62e512800261423ed09f2

Observation e8c92f4d-40b1-4406-95dc-bfa71b2fc61b · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:19:26.767509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:23.516399Z digest=sha256:225e552a3be669b8ec87b959b2d6a0f39af7ead8590608a5b992880f30587c6e

Observation ecfa7652-9ef1-4aa7-b9bd-79c77ac37084 · outbound

This paper cites 30, (2024) 64.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties 30, (2024) 64

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:19:26.544659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:23.618583Z digest=sha256:8f486418abcc345f64c0ac542749f586f8fd83ffd64981486cb3d115c4e95ad4

Observation 86ebc4e0-2d02-4c25-ab02-613bb6a12a06 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:19:26.400112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:23.771774Z digest=sha256:6ba1b8c80ef61418821b8dc377ae872ec56754ca54917ff611ed26e406f35b4c

Observation 13608d0d-57c2-4687-8403-4edc533dc925 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:19:26.232616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:23.942173Z digest=sha256:6cd194ab0103355a5bfe77e303b2d91c0c29bc647bf0b188dc896e0f76e24998

Observation 6fac813c-ca77-4a91-8e8b-21838a86bea6 · outbound

This paper cites and Strimmer, K., Optimal whitening and decorrelation,The American Statistician 72 (4) (2018) 309–314.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Strimmer, K., Optimal whitening and decorrelation,The American Statistician 72 (4) (2018) 309–314

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:19:26.074802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.049863Z digest=sha256:9b023e92a962e8eae816e4543dbb3dbde1a584738d91890272d0038f90a63970

Observation 7ef4400c-0bc9-49e4-ad72-613104bfd250 · outbound

This paper cites and Mosler, K., The Lorenz zonoid of a multivariate distribution,Journal of the American Statistical Association, 91 (1996) 873–882.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Mosler, K., The Lorenz zonoid of a multivariate distribution,Journal of the American Statistical Association, 91 (1996) 873–882

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:19:25.954589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.170333Z digest=sha256:fa727b8099e61e69c227421bff533c40d246a309e8b70333281d7c1ca5ede175

Observation a31be367-0392-43f8-9921-f196d3114bae · outbound

This paper cites and Mosler, K., Multivariate Gini indices,Journal of Multivariate Analysis, 60 (1997) 252–276.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Mosler, K., Multivariate Gini indices,Journal of Multivariate Analysis, 60 (1997) 252–276

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:19:25.927097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.326313Z digest=sha256:bc4bd9ce5fdd6e2dee1d3f97dfeb395705bdf8ad877854ba844ca44ad943e568

Observation 811df9af-eeef-4c39-9482-e32bf256c217 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:19:25.903933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.447351Z digest=sha256:649cdaf183c331e0ebe62e62023352d804c94f58667c3afd381a1f90938bf730

Observation 7b72f228-4dcc-47c9-8d58-809f152a549a · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:19:25.895348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.588707Z digest=sha256:e8240d65c963dde5322c13e807858f32cb52998c75c755ac2b665f4a000c9e82

Observation 2af8fa9b-011d-4eea-98ef-12675a48f436 · outbound

This paper cites and Zhang, J., Sphering and its properties,Sankhya A60 (1998) 119–133.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Zhang, J., Sphering and its properties,Sankhya A60 (1998) 119–133

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:19:25.882467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.680470Z digest=sha256:b40a983c6ad47bf535e1698ae9d9b58e48eb46824857431b0e7a11b5fbddf7ab

Observation 15729195-cd26-405d-9c9e-38746d9c5014 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:19:25.870761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.760151Z digest=sha256:5efddd17c2cbeb99db69e9de6414b993f5a9e45488bcd73c8c17a896ffae4467

Observation d69b1966-366d-4376-9124-9ca8e1c87b7f · outbound

This paper cites An efficient earth mover’s distance algorithm for robust histogram comparison.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties An efficient earth mover’s distance algorithm for robust histogram comparison

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:19:25.860850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.873601Z digest=sha256:46296c788443f0ae4caeb09ba6c272114892d851c83618a2c96d18b33858a3ac

Observation ea7c9ac8-205f-480c-8b5c-ff7b88ae3888 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:19:25.849756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.895090Z digest=sha256:173c409aaa35e51fd265f408f59c6f72ce51a19cfc39ba256228c4a374ee14d4

Observation 9c5a83bf-b650-416e-88dd-d3a8b8a1c4db · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:19:25.838417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.900254Z digest=sha256:c12722c232e6d5d1ef58604bc2bf4fa8bbc0b290d887eb6933310805a71be271

Observation bab0d629-67ad-4de9-8c24-8d7b71ce2701 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:19:25.827639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.905458Z digest=sha256:3409a568ff9bf1d767de28bd9284c41b32e5ace94d2bce5ee450d8f6eff2da21

Observation b1ce2ec2-eabf-4a68-aa45-160b6b08b24c · outbound

This paper cites H.P., Speed of approach to equilibrium for Kac’s caricature of a Maxwellian gas, Arch.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties H.P., Speed of approach to equilibrium for Kac’s caricature of a Maxwellian gas, Arch

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:19:25.817982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.910866Z digest=sha256:e9b2c5b6e9599aa94ed6dc1b352052f8b4834bb048e1297a7e3cb4b29264eac3

Observation f9829484-55cd-4bdb-b8b6-f927e1773e64 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:19:25.809505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.916210Z digest=sha256:ab1513e6fceb4241a20d90c5aa7d17a106db7da2740402d90139faad07b46ec0

Observation c450d80b-360b-4755-a696-791c2cbbb1ed · outbound

This paper cites Springer Verlag, Heidelberg, 2010.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Springer Verlag, Heidelberg, 2010

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:19:25.799466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.923832Z digest=sha256:2622c62969c29ae730b70c92ef5d5a6a95a006557fef98821bf1f9d31bf9decd

Observation bdd90967-cdfc-4431-ab77-ed936dd821a5 · outbound

This paper cites and Fan, J., Sparsifying the Fisher linear discriminant by rotation.Journal of the Royal Statistical Society Series B: Statistical Methodology77 (4) (2015) 827–851.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Fan, J., Sparsifying the Fisher linear discriminant by rotation.Journal of the Royal Statistical Society Series B: Statistical Methodology77 (4) (2015) 827–851

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:19:25.789032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.928201Z digest=sha256:05db146d1804d4994b56d0022f3d6fa65940d9d9966a70e69048aff604427643

Observation c8f21f80-6237-4cff-b47d-8198216c5fa7 · outbound

This paper cites Kinetic equations and Monte Carlo methods.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Kinetic equations and Monte Carlo methods

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:19:25.778193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.935351Z digest=sha256:8ecbc48402a7b47610d702c5e6d251b2bbbc28ecd8146ba024b7224d0147641e

Observation 03132b86-19b2-4def-b5ec-64680f9f5aa3 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:19:25.766783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.940012Z digest=sha256:40d1e4db53d75c69b24aa6a33ee07f115c64f18e68602265f0e24f036515469e

Observation 97a442f2-eb01-4891-9487-c090e428bdb0 · outbound

This paper cites and Cuturi, M., Computational optimal transport: With applications to data science, Foundations and Trends in Machine Learning11 (5-6) (2019) 355–607.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Cuturi, M., Computational optimal transport: With applications to data science, Foundations and Trends in Machine Learning11 (5-6) (2019) 355–607

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:19:25.755689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.946338Z digest=sha256:d820419666f1cce1038593900ce2021554784b9ce6192947b22e105dd831ac01

Observation ba80113e-6cdf-4555-b4bc-a5b8f08d7e63 · outbound

This paper cites Nota I,Atti del Reale Istituto Veneto di Scienze, Lettere ed Arti, 74 (1915) 775–804.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Nota I,Atti del Reale Istituto Veneto di Scienze, Lettere ed Arti, 74 (1915) 775–804

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:19:25.745007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.951276Z digest=sha256:257768e52062014f9e798cfcc4b4706f48bd99770ef129923e7e2cb4f7fbbc03

Observation 08cdaeb0-25ef-4d80-9c5f-3dcd6750aca3 · outbound

This paper cites an unresolved cited work.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:19:25.734598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.960526Z digest=sha256:e63afbed6e054f1b1acc5fa3ee9f295378b3b3804161b46d96593c58fb630493

Observation faf5220b-7f30-437f-84a8-014b69d9b8bb · outbound

This paper cites and Toscani, G., Asymptotic properties of the inelastic Kac model,Journal of Statistical Physics, 114 (5-6) (2004) 1453–1480.

From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties and Toscani, G., Asymptotic properties of the inelastic Kac model,Journal of Statistical Physics, 114 (5-6) (2004) 1453–1480

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:19:25.719926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:19:24.967183Z digest=sha256:fe556e5a0270cd1b922494bfa9eda5950576aaa5651e4d2d02e772c5724b7db3

Pith citing papers

Observation f2a6978f-d242-4e5d-9207-44ba39656196 · inbound

Sharp Rates of MMD Empirical Estimation with Power Kernels cites this paper.

Sharp Rates of MMD Empirical Estimation with Power Kernels From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-20T08:28:08.408379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T08:25:49.865788Z digest=sha256:43b11396f3a95e06a6660a8b4251a6ca7d8ae069d4767a7e226e924cc934cad4

Observation e1612872-e9cb-4d0f-a5f1-99ac48e22b59 · inbound

Sharp Rates of MMD Empirical Estimation with Power Kernels cites this paper.

Sharp Rates of MMD Empirical Estimation with Power Kernels From Kinetic Theory to AI: a Rediscovery of High-Dimensional Divergences and Their Properties

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:35:00.385014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T18:31:00.675670Z digest=sha256:d48cc0bb2a358165698eb7ca7fbc5f188ae21d3b65891a50f69c38676a719ad1