Paper Citation Record · LEDGER

Wasserstein Barycenter Gaussian Process based Bayesian Optimization

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2505.12471.

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

pith.paper-citation-record.v1
2505.12471 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:43.407851Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:29:27.629052Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy22
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation 8e82abce-73c1-4448-9f6f-c6c997a87246 · outbound

This paper cites an unresolved cited work.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:38:45.056315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13512649-821d-4366-bc9c-3a1f465690af · outbound

This paper cites In: International conference on machine learning.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization In: International conference on machine learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.967259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 608dd13b-ac46-4466-8cdf-c07b051335a0 · outbound

This paper cites PI is back! Switching Acquisition Functions in Bayesian Optimization.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization PI is back! Switching Acquisition Functions in Bayesian Optimization

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T20:38:43.808405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 24d4397b-37d4-4737-8498-d6395a4acc48 · outbound

This paper cites Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T20:38:43.680822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 95cdfa60-5977-4f87-91ef-6e03f08bea43 · outbound

This paper cites Machine Learning 112(10), 3713–3747 (2023).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Machine Learning 112(10), 3713–3747 (2023)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.954642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa9f3566-d16d-46cd-99f9-c42986b255d2 · outbound

This paper cites No-Regret Bayesian Optimization with Unknown Hyperparameters.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization No-Regret Bayesian Optimization with Unknown Hyperparameters

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T20:38:43.663396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f2d8aa28-52c7-4b4c-be59-fca896fba647 · outbound

This paper cites Ad- vances in Neural Information Processing Systems34, 3004–3015 (2021).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Ad- vances in Neural Information Processing Systems34, 3004–3015 (2021)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.942860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation afb294de-3ee5-4a5e-947d-3d94508f9bf0 · outbound

This paper cites Journal of Machine Learning Research12(10) (2011).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Journal of Machine Learning Research12(10) (2011)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.931020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a3255b4d-a092-4778-a968-b3ea7a8bf9e7 · outbound

This paper cites Transactions of the American Mathemat- ical Society 135, 199–212 (1969).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Transactions of the American Mathemat- ical Society 135, 199–212 (1969)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.918949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27493a94-ce14-48a0-be8b-6cee90fd284e · outbound

This paper cites Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T20:38:43.646987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db44aca0-e68c-4717-9a77-8adf6cb0f414 · outbound

This paper cites In: International Conference on Learning and Intelligent Optimization.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization In: International Conference on Learning and Intelligent Optimization

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.905583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45629116-82f7-4950-aa64-92c1ef6edc16 · outbound

This paper cites In: HPC for Drug Discovery and Biomedicine, pp.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization In: HPC for Drug Discovery and Biomedicine, pp

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.823062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9d52928-0212-4547-837d-9d380afbca1e · outbound

This paper cites In: Interna- tional conference on machine learning.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization In: Interna- tional conference on machine learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.713702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2d10367e-b4af-47dc-8e61-1e15497cb808 · outbound

This paper cites ACM Transactions on Evolutionary Learning and Optimization1(1), 1–22 (2021).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization ACM Transactions on Evolutionary Learning and Optimization1(1), 1–22 (2021)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.702425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f550d9d-28ae-4a5b-977a-fec140bcad43 · outbound

This paper cites Communications in Mathematical Physics342, 151–187 (2016).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Communications in Mathematical Physics342, 151–187 (2016)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.690086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3eb5e6a6-bafc-44c4-8cf2-1a9055e09a27 · outbound

This paper cites In: Recent advances in optimization and mod- eling of contemporary problems, pp.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization In: Recent advances in optimization and mod- eling of contemporary problems, pp

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:43.127737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79790bb7-9f60-491a-881f-e19efb834eb0 · outbound

This paper cites Cambridge University Press (2023) WBGP-BO 13.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Cambridge University Press (2023) WBGP-BO 13

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.491641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 590d43e8-9867-4983-854c-4eb0044dd765 · outbound

This paper cites CRC press (2020).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization CRC press (2020)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.368400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 991441b6-ccfe-485a-aab3-67babce5bf19 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Advances in Neural Information Processing Systems 36 (2024)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.355784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 336821fe-cbb0-48c1-8db1-27b0d087dee3 · outbound

This paper cites Information14(4), 223 (2023).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Information14(4), 223 (2023)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.343756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation acace328-c136-4530-a51b-9930195bf8a3 · outbound

This paper cites Journal of Machine Learning Research24(120), 1–47 (2023).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Journal of Machine Learning Research24(120), 1–47 (2023)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.332534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 95403426-4c52-4e7d-9850-b6634ef62671 · outbound

This paper cites IEEE Transac- tions on Pattern Analysis and Machine Intelligence (2024).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization IEEE Transac- tions on Pattern Analysis and Machine Intelligence (2024)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:43.151304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cc570c7-5883-41a9-993d-a23a21030311 · outbound

This paper cites Advances in Neural Information Processing Systems30 (2017).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Advances in Neural Information Processing Systems30 (2017)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.310821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4815aa71-3335-4e03-ba40-16e019b76941 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Ma- chine Intelligence (2024).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization IEEE Transactions on Pattern Analysis and Ma- chine Intelligence (2024)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.143818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6fb7715f-179a-46f9-a2e6-dc5511ae8d1c · outbound

This paper cites an unresolved cited work.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:38:44.105288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a5b7401-dff5-4366-9a26-eddf6613913f · outbound

This paper cites Foundations and Trends® in Machine Learning11(5-6), 355–607 (2019).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Foundations and Trends® in Machine Learning11(5-6), 355–607 (2019)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:43.325263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1710fe3-6235-4379-8ef1-3fd338d871d9 · outbound

This paper cites Birkäuser, NY 55(58-63), 94 (2015).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Birkäuser, NY 55(58-63), 94 (2015)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.083323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef8ae3d4-7436-49f2-8c0b-9ee3631738e1 · outbound

This paper cites Knowledge-Based Systems273, 110604 (2023).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Knowledge-Based Systems273, 110604 (2023)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:44.009582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9d9ebb93-76ff-4c72-ac30-2826da58b07a · outbound

This paper cites IEEE transactions on information theory58(5), 3250–3265 (2012).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization IEEE transactions on information theory58(5), 3250–3265 (2012)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:43.955258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a806e9d4-4673-496b-9d20-de1c752f5841 · outbound

This paper cites Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T20:38:43.533789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5dd4217-4c40-4bb9-862b-44a56568271c · outbound

This paper cites Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:43.390566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8348d466-f2ee-46b1-afb6-ece24a7ce64a · outbound

This paper cites Journal of Artificial Intelli- gence Research 55, 361–387 (2016).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Journal of Artificial Intelli- gence Research 55, 361–387 (2016)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:43.943015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f0697709-a4b8-41d9-b47c-a0e03f1a6685 · outbound

This paper cites an unresolved cited work.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-15T20:38:43.930852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f9578c4f-a31d-4f1e-bd7f-48bab723c190 · outbound

This paper cites Robotica 41(10), 3101–3115 (2023).

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Robotica 41(10), 3101–3115 (2023)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:38:43.918066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 817b74c7-8116-423e-913e-5c89a9b3633a · outbound

This paper cites Time-Varying Gaussian Process Bandits with Unknown Prior.

Wasserstein Barycenter Gaussian Process based Bayesian Optimization Time-Varying Gaussian Process Bandits with Unknown Prior

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:43.407851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation abb116fa-b256-485d-a91d-a15478d17b0c · inbound

Gromov-Wasserstein and optimal transport: from assignment problems to probabilistic numeric cites this paper.

Gromov-Wasserstein and optimal transport: from assignment problems to probabilistic numeric Wasserstein Barycenter Gaussian Process based Bayesian Optimization

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-08-05T10:29:27.845840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.