Paper Citation Record · LEDGER

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds

As of 13 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2502.03439.

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

pith.paper-citation-record.v1
2502.03439 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:49:30.324855Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy25
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87aecbf7-ed5f-4655-810f-074c39585b68 · outbound

This paper cites Learning representations and generative models for 3d point clouds, 2018.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Learning representations and generative models for 3d point clouds, 2018

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.696612Z

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Observation 5ad0f778-0a7b-41f2-9de6-03c28a1dde69 · outbound

This paper cites an unresolved cited work.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-09T04:49:30.686199Z

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Observation 26dbd91c-95cf-4212-9fdd-0f1e8b4267df · outbound

This paper cites A User’s Guide to Optimal Transport, pages 1–155.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds A User’s Guide to Optimal Transport, pages 1–155

Reference 3

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Observation 12fede98-333c-4f2a-bbfa-1cb1e26ee19e · outbound

This paper cites Wasserstein generative adversarial networks.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Wasserstein generative adversarial networks

Reference 4

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Observation 460e75b9-5111-4f8b-b534-10d7f9973d52 · outbound

This paper cites Boyer, Yonatan Lipman, Elizabeth M.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Boyer, Yonatan Lipman, Elizabeth M

Reference 5

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Observation 107bb4ba-bf13-4f30-af86-be9b6287690b · outbound

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Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Unresolved cited work

Reference 6

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Observation 2015f0c7-1431-44bf-8458-9a6cbc42c4ec · outbound

This paper cites Approximating persistent homology for large datasets, 2022.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Approximating persistent homology for large datasets, 2022

Reference 7

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Observation 5c73af06-a1f3-4c54-8c30-e168f9bd91fe · outbound

This paper cites Kung, Prabhjot Mundi, Joseph O.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Kung, Prabhjot Mundi, Joseph O

Reference 8

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Observation 92f19a2a-599a-4afe-9db3-3d250f127f21 · outbound

This paper cites Linearized wasserstein dimen- sionality reduction with approximation guarantees, 2023.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Linearized wasserstein dimen- sionality reduction with approximation guarantees, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.617656Z

Source-reported events for the cited work

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Observation 7df131f4-ccfc-4744-a779-4f5e5be4e890 · outbound

This paper cites Rates of estimation of optimal transport maps using plug-in estimators via barycentric projections.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Rates of estimation of optimal transport maps using plug-in estimators via barycentric projections

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.608272Z

Source-reported events for the cited work

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Observation 8fbb4788-df16-4300-ad09-12b81e99816b · outbound

This paper cites The diffusion geometry of fibre bundles: Horizontal diffusion maps.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds The diffusion geometry of fibre bundles: Horizontal diffusion maps

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.598952Z

Source-reported events for the cited work

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Observation 60a00a07-f5cd-4f24-83ff-948afdd7e4b6 · outbound

This paper cites On Hölder continuity-in-time of the optimal transport map towards measures along a curve.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds On Hölder continuity-in-time of the optimal transport map towards measures along a curve

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.589163Z

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Observation 7ba367ee-29a9-4f6d-bcc2-9301b1f07c58 · outbound

This paper cites Supervised learning of sheared distributions using linearized optimal transport.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Supervised learning of sheared distributions using linearized optimal transport

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.578216Z

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Observation 48f7e1fc-f63d-4708-aa80-0240bcbaf7db · outbound

This paper cites an unresolved cited work.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Unresolved cited work

Reference 14

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Observation b5a463be-9aab-482e-b86f-e11f94b91ca3 · outbound

This paper cites Kevrekidis, Joseph O.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Kevrekidis, Joseph O

Reference 15

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Observation c6331501-be5a-4ecf-a852-1a28661ec69f · outbound

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Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Unresolved cited work

Reference 16

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Observation d0e3ae75-26b3-49ac-867e-bc9fed47fdb5 · outbound

This paper cites Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.536248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b3d015e8-4d24-4ffd-a8a7-cd188b3649ed · outbound

This paper cites Linear Optimal Transport Embedding: Provable Wasserstein classification for certain rigid transformations and perturbations.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Linear Optimal Transport Embedding: Provable Wasserstein classification for certain rigid transformations and perturbations

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.525621Z

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Observation a11cc9c5-1cf9-4c89-a36c-98b9c7e82ee8 · outbound

This paper cites The geometry of dissipative evolution equations: The porus medium equation.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds The geometry of dissipative evolution equations: The porus medium equation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.515561Z

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Observation 2be34425-d486-42eb-ab68-f5203b9bb156 · outbound

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Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-09T04:49:30.504734Z

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Observation 0238cdcb-6bac-4790-93b1-99e66050ac1e · outbound

This paper cites Computational optimal transport.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Computational optimal transport

Reference 21

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Source-reported events for the cited work

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Observation d730c8cc-d31f-4033-bbf4-cc2b582e02d5 · outbound

This paper cites Entropic estimation of optimal transport maps.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Entropic estimation of optimal transport maps

Reference 22

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Source-reported events for the cited work

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Observation 8181b929-bb6d-45b2-af9a-892024f4668c · outbound

This paper cites Qi, Hao Su, Kaichun Mo, and Leonidas J.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Qi, Hao Su, Kaichun Mo, and Leonidas J

Reference 23

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Source-reported events for the cited work

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This paper cites Qi, Li Yi, Hao Su, and Leonidas J.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Qi, Li Yi, Hao Su, and Leonidas J

Reference 24

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Source-reported events for the cited work

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Observation 86aec906-3961-4a7d-a11e-3a2eb78b02be · outbound

This paper cites On a generalization of wasserstein distance and the beckmann problem to connection graphs, 2024.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds On a generalization of wasserstein distance and the beckmann problem to connection graphs, 2024

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.473465Z

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This paper cites The earth mover’s distance as a metric for image retrieval.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds The earth mover’s distance as a metric for image retrieval

Reference 26

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This paper cites Wasserstein propagation for semi- supervised learning.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Wasserstein propagation for semi- supervised learning

Reference 27

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Observation d5e17b44-6ee8-4828-9d11-d32b3fa1619b · outbound

This paper cites St Clair and Doug M.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds St Clair and Doug M

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.443468Z

Source-reported events for the cited work

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Observation ada8563e-a06b-4fb8-9506-3f1d4ace78e1 · outbound

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Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Unresolved cited work

Reference 29

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Observation 91b830d9-9d09-4f78-bb69-bdd6ded0e401 · outbound

This paper cites Optimal Transport: Old and New, volume 338.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Optimal Transport: Old and New, volume 338

Reference 30

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Observation 21262817-edad-4641-be20-85d061db0a94 · outbound

This paper cites Ozolek, and Gustavo K.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Ozolek, and Gustavo K

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.413313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8110b876-13f2-46e7-a34a-9617b2d67763 · outbound

This paper cites Sarma, Michael M.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Sarma, Michael M

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.403179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 640e57da-153b-418d-84c3-8f29f495acb3 · outbound

This paper cites an unresolved cited work.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Unresolved cited work

Reference 33

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Observation 078e1fce-e826-4086-8c9c-037650949d09 · outbound

This paper cites Deep sets.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Deep sets

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.381245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e6b4d8e4-2b6c-4965-814d-4a97580d9cc7 · outbound

This paper cites Understanding bag-of-words model: a statistical framework.

Linearized Optimal Transport pyLOT Library: A Toolkit for Machine Learning on Point Clouds Understanding bag-of-words model: a statistical framework

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:49:30.369448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.