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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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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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

Reference 19

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

Reference 31

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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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Reference 38

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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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Reference 44

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Reference 45

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

Reference 52

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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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Reference 54

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

Reference 56

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

Reference 58

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

Reference 59

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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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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

Reference 65

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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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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 2026-08-18T06:34:40.430872+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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:23.155399Z digest=sha256:fb48b6478e865ba63cb075cff0f184c3ef0c3420ba8537711d8f1f8e34e695d0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:23.295002Z digest=sha256:a03fec7f22c868f25827c1ab0e2a77edd5d85fc792163916d849265c0edbb221

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:23.409555Z digest=sha256:3c933060c5a6dd2c4103ef078636ab25d326c9bdf892b0e2d90c2c1a3217e8b0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:23.516399Z digest=sha256:e610cb6f6cb11c5d6e002a93704c3942411322608dcc5e8a82adbb567dde4998

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:23.618583Z digest=sha256:ab5ef529a3f46dea78ce445ae098d5206e16335b36a9464a86682e4169ed50bf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:23.771774Z digest=sha256:5b5add8a2c5410c761330a7f2c5406cbbc21e9e9964147b5022ac406115324ae

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:23.942173Z digest=sha256:223572668f966f9841bc40235babfcfb495eb795ad1a670ed97ae0f30d816faf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.049863Z digest=sha256:02517c44c4c09ab9bbf0e1c9e49cfb2894b955a61da099421d12183aab013b7b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.170333Z digest=sha256:62c54e31ab7f97f2be495a226d26480cd6623940aac03f70c2c5f93472a37c23

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.326313Z digest=sha256:3f11ae4cc9d68ef864e969d412ffb1281eef4cece87ea72aac289a5be0eca9fb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.447351Z digest=sha256:0d1396494d915a26a8cd18854dd14445069b6bbe0881fa36d2291706e962fb78

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.588707Z digest=sha256:766167a0078a8683ae42f1cf209c91b46cbe684264d0cda8a8a03b46fbca821b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.680470Z digest=sha256:bd56d7bd741a5a57c50e8cf85fa09d1828817708f0b1b2257e513f4310c096db

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.760151Z digest=sha256:21359952e003bc9d958664a9bf7fb531bf81ed31e6014501b8fc88b133406f1c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.873601Z digest=sha256:845a1c76969caa8443bdc6c723c327bf683ff11f330735457215341a3ad55852

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.895090Z digest=sha256:3e039af7b1256cdd2cc1edd8beb1772d2f7540b5792e98c64d1f6c308ba4c210

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.900254Z digest=sha256:f5bc9c63dab7899b1fb1c2b8ac36dd54ed3f88d423a3f4eff0da32c185b52a2a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.905458Z digest=sha256:b7e73877e90919f87a193b98d292f2a56bdbb7d41a31da95ce424c6c69ee6249

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.910866Z digest=sha256:536bd939e8fcaa96b00f4ec52afd53a2d8292e56ab742ba5219bd40bbaa973f9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.916210Z digest=sha256:b6b508941cf0a9c68fe2881add78e8144e0c5a47732fe610adc07f051708e85d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.923832Z digest=sha256:ea457ad412306f6d6a9e13ed39e9fc276d24fa7ead8837d8e7964e3197a53cc3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.928201Z digest=sha256:01c1365cca8b27415bed5b4933aa25321298574a2e3e39d5341aa02a2c37b62b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.935351Z digest=sha256:8920f70b3295a6973b5344c10b9992bc867057fe65b756dd0592631d17e3d5ec

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.940012Z digest=sha256:964e51097cd6eece12b1e0a3b42a5db592ea5e9a50a5a7bf0a3167482a327787

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.946338Z digest=sha256:66b5f806dd6bbc6d7fad2ca6e958ef85a44ea6bc06b741d786c67e48d8f44dcf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.951276Z digest=sha256:4abb328eda383461587ff7e996edcaecf9f54983ee7c702af31a2a64d44a25e1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.960526Z digest=sha256:eff512d3676c157c6cb55b3ed63974b9ced9adda0b64154ab80bd0ebb48a47cf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T17:19:24.967183Z digest=sha256:8c351ef09d6c6a8cc59f29a4a759a16123ba36263f7ae22975ca7b5b740a3e3d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T08:25:49.865788Z digest=sha256:2bb0f5624c427d32848543dab9eaa417aac24dcf4caf0b15a82c8c981eac4279

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T18:31:00.675670Z digest=sha256:1b5224c75855430f1bcf847587cf47f160395d391f7d5003f5d2a42c1c20734c