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Paper Citation Record · LEDGER

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization

As of 17 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2509.17405.

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

pith.paper-citation-record.v1
2509.17405 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:52:23.647215Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

22 of 22 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c195b2c9-c189-48ef-97f8-59ff2ace131f · outbound

This paper cites E USE OFLARGELANGUAGEMODELS Large language models (LLMs) were used in the preparation of this paper.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization E USE OFLARGELANGUAGEMODELS Large language models (LLMs) were used in the preparation of this paper

Reference 1

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Source-reported events for the cited work

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Observation 37a0fc3e-480c-4953-afc1-fc615fb1e45a · outbound

This paper cites Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure

Reference 7

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Unavailable: canonical work link unavailable.

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Observation c752f77d-497a-4090-b7df-65efa5db1ea4 · outbound

This paper cites GPflowOpt: A Bayesian Optimization Library using TensorFlow.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization GPflowOpt: A Bayesian Optimization Library using TensorFlow

Reference 8

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Observation 9fcdbd44-542c-4e42-9d8e-f922a0eb8633 · outbound

This paper cites Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates

Reference 9

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local_arxiv, observed 2026-08-15T15:52:24.161365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fe231631-dc75-4f21-a4b4-3d90ccc1cd76 · outbound

This paper cites Sliced Wasserstein Estimation with Control Variates.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization Sliced Wasserstein Estimation with Control Variates

Reference 10

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Observation 8ce31833-7726-4c45-9e4d-33f5e92b7293 · outbound

This paper cites A User's Guide to Sampling Strategies for Sliced Optimal Transport.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization A User's Guide to Sampling Strategies for Sliced Optimal Transport

Reference 15

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Observation e6a97bea-2389-48ab-b776-3dc749941027 · outbound

This paper cites Constrained bayesian optimization for automatic underwater vehicle hull design.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization Constrained bayesian optimization for automatic underwater vehicle hull design

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 53e04e7c-2a77-4134-b423-17dadaf4d29b · outbound

This paper cites C´edric Villani et al.Optimal transport: old and new, volume.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization C´edric Villani et al.Optimal transport: old and new, volume

Reference 17

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Observation cb4ee777-27f8-4601-b312-e39d5db53758 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization 3d shapenets: A deep representation for volumetric shapes

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3a0f3d3f-978c-4b66-9c83-b4ac79f0e772 · outbound

This paper cites Bounding the performance of BOSW for finiteLis an interesting open question.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization Bounding the performance of BOSW for finiteLis an interesting open question

Reference 21

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Observation df6f08dc-adc3-4b45-8844-3afb09b9eddf · outbound

This paper cites Figure 10: Ablation study of different values of the cosine-similarity cutoff threshold used in our method.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization Figure 10: Ablation study of different values of the cosine-similarity cutoff threshold used in our method

Reference 100

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bc0c85af-581b-490d-b7d7-174aaf313e02 · outbound

This paper cites 9781611970081.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization 9781611970081

Reference 1992

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b1368f06-6263-4e57-8bcf-58c5674191b5 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization ShapeNet: An Information-Rich 3D Model Repository

Reference 2008

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Observation 801193cb-80b6-4097-9bca-7b359519249a · outbound

This paper cites David Duvenaud.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization David Duvenaud

Reference 2010

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verified exact
doi, observed 2026-08-15T15:52:23.735782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4544e612-2fef-483b-81ff-414b0caeb3e0 · outbound

This paper cites David Eriksson and Matthias Poloczek.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization David Eriksson and Matthias Poloczek

Reference 2012

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verified fuzzy
raw_fallback, observed 2026-08-15T15:52:24.424434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7a9873a3-7906-48d0-bb57-b865460676c8 · outbound

This paper cites Nicolas Bonnotte.Unidimensional and evolution methods for optimal transportation.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization Nicolas Bonnotte.Unidimensional and evolution methods for optimal transportation

Reference 2015

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Unavailable: canonical work link unavailable.

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Observation 17d31d1e-22ff-4bc9-a994-341cce020046 · outbound

This paper cites Yihang Shen and Carl Kingsford.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization Yihang Shen and Carl Kingsford

Reference 2016

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Unavailable: canonical work link unavailable.

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Observation 852191f4-19cb-496a-94ac-e471396a4595 · outbound

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

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas

Reference 2019

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Observation 4148159d-e0fa-49b6-b828-9f93380062db · outbound

This paper cites Weak independence of events and the converse of the Borel--Cantelli Lemma.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization Weak independence of events and the converse of the Borel--Cantelli Lemma

Reference 2021

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Observation 049a3297-bcb0-42c8-9834-9769bca0bae5 · outbound

This paper cites C ABLATIONSTUDIES Section 3.1 describes several modeling and parameter choices made for our implementation of Bayesian optimization.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization C ABLATIONSTUDIES Section 3.1 describes several modeling and parameter choices made for our implementation of Bayesian optimization

Reference 2023

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 216bda21-c021-4e2d-a2ff-c995663cade5 · outbound

This paper cites Vanilla Bayesian Optimization Performs Great in High Dimensions.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 2024

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Observation 123ae3b8-8d8d-43cc-9ec6-881618733c1a · outbound

This paper cites Gabriel Peyr´e and Marco Cuturi.Computational Optimal Transport, volume 11 ofFoundations and Trends in Machine Learning.

Efficient Sliced Wasserstein Distance Computation via Adaptive Bayesian Optimization Gabriel Peyr´e and Marco Cuturi.Computational Optimal Transport, volume 11 ofFoundations and Trends in Machine Learning

Reference 2025

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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