Paper Citation Record · LEDGER

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes

As of 14 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2412.15679.

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

pith.paper-citation-record.v1
2412.15679 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:16:41.113837Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T07:07:33.125667Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T07:12:09.588158Z

Reference resolution

44 of 44 outbound references displayed

verified exact14
verified fuzzy6
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a1a8591-66e2-42e2-aade-1c65530cf99c · outbound

This paper cites Shirk, Terrence J.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Shirk, Terrence J

Reference 1

Resolution: verified exact; doi, observed 2026-08-11T11:16:41.633167Z

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Observation 80944bae-a12f-4ae3-8ccc-6ad5dfb55211 · outbound

This paper cites an unresolved cited work.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work

Reference 2

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Source-reported events for the cited work

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Observation d30dff3d-d466-4cb3-baba-e061c79cf6cb · outbound

This paper cites Dillinger, Thomas Klimmek, Mostafa M.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Dillinger, Thomas Klimmek, Mostafa M

Reference 3

Resolution: verified exact; doi, observed 2026-08-11T11:16:41.607286Z

Source-reported events for the cited work

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Observation 32690975-4160-4082-b272-22fc2f190920 · outbound

This paper cites Bayesian Approach to Global Optimization : Theory and Applications.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Bayesian Approach to Global Optimization : Theory and Applications

Reference 4

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Source-reported events for the cited work

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Observation 058c691f-e9f0-4dcb-8f06-b8668e4b2d1f · outbound

This paper cites Multidisciplinary design optimization with mixed categorical variables for aircraft design.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Multidisciplinary design optimization with mixed categorical variables for aircraft design

Reference 5

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Source-reported events for the cited work

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Observation 412587fb-5ae3-43b7-b1d0-9191926ca07c · outbound

This paper cites A Tutorial on Bayesian Optimization.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes A Tutorial on Bayesian Optimization

Reference 6

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Source-reported events for the cited work

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Observation 47af3566-f8ba-4153-a0a0-12bd31fb5b13 · outbound

This paper cites High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces

Reference 7

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Source-reported events for the cited work

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Observation de954cab-f452-4a69-99a7-6884999e737f · outbound

This paper cites Optimisation bayésienne sous contraintes et en grande dimension appliquée à la conception avion avant projet.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Optimisation bayésienne sous contraintes et en grande dimension appliquée à la conception avion avant projet

Reference 8

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Source-reported events for the cited work

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Observation 9f52ee65-d5f8-4169-9ecd-b739f5353a6a · outbound

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High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 42294d1a-65e9-4d88-b012-c16da64c93f6 · outbound

This paper cites an unresolved cited work.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation 87f61ab3-2892-4d4d-8004-490a9457fff9 · outbound

This paper cites , Tiesis, V.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes , Tiesis, V

Reference 11

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Source-reported events for the cited work

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Observation d0b67390-0dcd-4619-b079-67e3a4bf79fe · outbound

This paper cites Thompson.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Thompson

Reference 12

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Source-reported events for the cited work

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Observation 92287bc2-29cc-4ce9-82ee-958f7a50754b · outbound

This paper cites Bayesian Optimization with Inequality Constraints.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Bayesian Optimization with Inequality Constraints

Reference 13

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Source-reported events for the cited work

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Observation 341b400b-dac7-4873-97ff-1e879566a18a · outbound

This paper cites Bayesian Optimization with Unknown Constraints.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Bayesian Optimization with Unknown Constraints

Reference 14

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Source-reported events for the cited work

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Observation 1b61c496-373d-40ab-b254-9b6e215d7c78 · outbound

This paper cites A General Framework for Constrained Bayesian Optimization using Information-based Search.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes A General Framework for Constrained Bayesian Optimization using Information-based Search

Reference 15

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Source-reported events for the cited work

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Observation 49945d78-7422-4d8a-928a-aa692c60cd4b · outbound

This paper cites Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space

Reference 16

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Source-reported events for the cited work

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Observation 7826aee3-ad45-4408-a483-e0b2365c22d7 · outbound

This paper cites Scalable Global Optimization via Local Bayesian Optimization.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Scalable Global Optimization via Local Bayesian Optimization

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6435cee2-bad7-4120-869a-4350e08c1301 · outbound

This paper cites A Survey on High -dimensional Gaussian Process Modeling with Application to Bayesian Optimization.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes A Survey on High -dimensional Gaussian Process Modeling with Application to Bayesian Optimization

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57e72aae-4f4a-42f6-9f2f-67dbe20c90ad · outbound

This paper cites Bayesian Optimization in a Billion Dimensions via Random Embeddings.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Bayesian Optimization in a Billion Dimensions via Random Embeddings

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a48e5b31-e6b6-467c-b8ac-34c3eb08e3f8 · outbound

This paper cites High Dimensional Bayesian Optimization Assisted by Principal Component Analysis.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes High Dimensional Bayesian Optimization Assisted by Principal Component Analysis

Reference 20

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Source-reported events for the cited work

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Observation 73e98771-cea5-4204-84c4-e2403ed5fa0f · outbound

This paper cites High Dimensional Bayesian Optimization with Kernel Principal Component Analysis.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes High Dimensional Bayesian Optimization with Kernel Principal Component Analysis

Reference 21

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Source-reported events for the cited work

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Observation 82591608-b8aa-4a52-9fc4-381c76597a0c · outbound

This paper cites Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 205388e8-918a-4627-80fc-da93ba80d5b4 · outbound

This paper cites High Dimensional Bayesian Optimisation and Bandits via Additive Models.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes High Dimensional Bayesian Optimisation and Bandits via Additive Models

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6e53146d-598e-47e5-a8d5-5a62b8fb85dd · outbound

This paper cites Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?

Reference 24

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Source-reported events for the cited work

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Observation f2db80e3-d594-4e3a-9103-e36759daf40c · outbound

This paper cites Scalable Constrained Bayesian Optimization.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Scalable Constrained Bayesian Optimization

Reference 25

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Source-reported events for the cited work

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Observation 3d093ab2-d02a-4645-a615-238fc1b4f048 · outbound

This paper cites Computer Model Calibration Using High - Dimensional Output.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Computer Model Calibration Using High - Dimensional Output

Reference 26

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Source-reported events for the cited work

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Observation ee804d40-5b69-42d6-acb7-7e34c22c6654 · outbound

This paper cites Jolliffe and Jorge Cadima.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Jolliffe and Jorge Cadima

Reference 27

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Observation ce60ed03-6b1c-407f-b96c-89cebccce9d9 · outbound

This paper cites Nonlinear Component Analysis as a Kernel Eigenvalue Problem.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Nonlinear Component Analysis as a Kernel Eigenvalue Problem

Reference 28

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Observation c88b2acf-628d-4a61-8b9d-a99a9c15a830 · outbound

This paper cites Xing, A.A.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Xing, A.A

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9ba3a61f-8e08-43a5-88c3-1eb45088b6f9 · outbound

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High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e7137585-5f2f-4fdc-8e39-ff9f21bfbf39 · outbound

This paper cites Kernels for Vector-Valued Functions: a Review.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Kernels for Vector-Valued Functions: a Review

Reference 31

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Source-reported events for the cited work

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Observation 7658792e-b12f-446b-bfb9-dec5a0979239 · outbound

This paper cites Multi-task gaussian process prediction.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Multi-task gaussian process prediction

Reference 32

Resolution: verified exact; raw_fallback, observed 2026-08-11T11:16:41.750124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7817dc47-3955-42c6-a69b-5ec766f1a169 · outbound

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High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24f5b6b4-7b88-41e9-928b-d71520babfcf · outbound

This paper cites Bayesian Optimization with High-Dimensional Outputs.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Bayesian Optimization with High-Dimensional Outputs

Reference 34

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Observation b88ac208-2adb-492f-9cef-b9b20d08278b · outbound

This paper cites Bruinsma, Eric Perim, Will Tebbutt, J.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Bruinsma, Eric Perim, Will Tebbutt, J

Reference 35

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Observation 8579a16b-bb6f-46d8-830f-882aa3241247 · outbound

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High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Reference 36

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Observation 110378b0-9fe7-4481-9494-ca6f97a2a48b · outbound

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High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration

Reference 37

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Source-reported events for the cited work

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Observation 83c3c824-cd4e-48bb-83d8-b0b6abe93248 · outbound

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High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Lemonge, H.J.C

Reference 38

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9dbe17c6-77b4-4b35-96c0-e55fe76c124c · outbound

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High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bdbbe5f1-814a-4ae8-b789-8f12d0675f15 · outbound

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High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Daniel and Ori Ishai

Reference 40

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Observation b8304b9b-d210-417a-91ff-097354b3d439 · outbound

This paper cites Maathuis, Roeland De Breuker, and Saullo G.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Maathuis, Roeland De Breuker, and Saullo G

Reference 41

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Source-reported events for the cited work

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Observation 2dad9c05-a9ec-4739-99ea-ad07a741c1ce · outbound

This paper cites an unresolved cited work.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-11T11:16:42.037759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 41028c1e-e977-4d6a-ac42-91d2437fa6ea · outbound

This paper cites an unresolved cited work.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Unresolved cited work

Reference 43

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Source-reported events for the cited work

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Observation 36131640-8df6-495d-b131-18fe5c737e09 · outbound

This paper cites Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization.

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-11T11:16:41.175513Z

Source-reported events for the cited work

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Pith citing papers

Observation b3913073-8d20-4c9a-8a62-8f9ea2e33b0a · inbound

Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization cites this paper.

Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.