Paper Citation Record · LEDGER

Dimensionality Reduction Techniques for Global Bayesian Optimisation

As of 13 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2412.09183.

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

pith.paper-citation-record.v1
2412.09183 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:18:07.107064Z

measured 31 of 31 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

31 of 31 outbound references displayed

verified exact6
verified fuzzy8
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7eeff0f9-2487-408c-ae22-07a3d13fcf69 · outbound

This paper cites BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization.

Dimensionality Reduction Techniques for Global Bayesian Optimisation BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:06.942605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2e899c1-2fa3-442a-8a4b-90c6f67cf9bb · outbound

This paper cites Generating Sentences from a Continuous Space.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Generating Sentences from a Continuous Space

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:06.949011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1756b0a-9322-4d2d-9158-d2772740c1a9 · outbound

This paper cites Understanding disentangling in $\beta$-VAE.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Understanding disentangling in $\beta$-VAE

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:06.955163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67407462-ef89-4433-891d-a35f767efafa · outbound

This paper cites A dimensionality reduction technique for unconstrained global optimization of functions with low effective dimensionality.

Dimensionality Reduction Techniques for Global Bayesian Optimisation A dimensionality reduction technique for unconstrained global optimization of functions with low effective dimensionality

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:18:07.528877Z

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 73522148-20d7-4959-b9d1-7bfa353e7bf2 · outbound

This paper cites Global optimization using random embeddings.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Global optimization using random embeddings

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:18:07.504687Z

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 e0dcd17d-5027-4b6f-987d-7844d0214111 · outbound

This paper cites Escaping local minima with local derivative-free methods: a numerical investigation.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Escaping local minima with local derivative-free methods: a numerical investigation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:06.972607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f2fe348-2a36-4a0d-9415-7b316c3c1a9e · outbound

This paper cites Optimization resources: A collec- tion of software and resources for nonlinear optimization.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Optimization resources: A collec- tion of software and resources for nonlinear optimization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:07.805220Z

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 4e308fff-0c88-486c-a316-08666cd93da3 · outbound

This paper cites Tutorial on Variational Autoencoders.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Tutorial on Variational Autoencoders

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:06.983925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d60eae57-0754-4eb2-9de2-5a21b3fd6129 · outbound

This paper cites Ernesto and U.P.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Ernesto and U.P

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:07.787552Z

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 0262b64d-fb93-4f20-aca6-840e3746ea63 · outbound

This paper cites A Tutorial on Bayesian Optimization.

Dimensionality Reduction Techniques for Global Bayesian Optimisation A Tutorial on Bayesian Optimization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:06.995869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fa1812f-e5e1-4fd5-9e0a-1b220fba37ad · outbound

This paper cites Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:07.001542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04386cb1-a431-411e-8d1c-201f480448c9 · outbound

This paper cites High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning.

Dimensionality Reduction Techniques for Global Bayesian Optimisation High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:07.007906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 248090a7-edb4-42c8-a027-3796878cc07c · outbound

This paper cites an unresolved cited work.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T17:18:07.771098Z

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 8f4d3c78-ca9e-4eea-b339-bc56f56ad582 · outbound

This paper cites Deep metric learning using triplet network.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Deep metric learning using triplet network

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:07.754995Z

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 a92ae9e2-a8c3-4126-9f24-9b3d94f13f1c · outbound

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

Dimensionality Reduction Techniques for Global Bayesian Optimisation Vanilla Bayesian Optimization Performs Great in High Dimensions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:07.024672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7b24f17-b7e6-4e65-9152-77ef9b729b49 · outbound

This paper cites TVAE: Triplet-Based Variational Autoencoder using Metric Learning.

Dimensionality Reduction Techniques for Global Bayesian Optimisation TVAE: Triplet-Based Variational Autoencoder using Metric Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T17:18:07.029390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60ca4c45-3a57-41f2-9d15-be6838c93829 · outbound

This paper cites an unresolved cited work.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Unresolved cited work

Reference 17

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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 7b4f5246-3704-4df1-9515-1375a593f382 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Adam: A Method for Stochastic Optimization

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab7b3589-e0ac-450a-a1fb-47dab8a51db6 · outbound

This paper cites Auto-Encoding Variational Bayes.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Auto-Encoding Variational Bayes

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e3a24bb-edbe-4e2e-bb6b-a62f896bb98e · outbound

This paper cites an unresolved cited work.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-11T17:18:07.724143Z

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 8d7d9026-514d-426c-a582-be98036bc620 · outbound

This paper cites A framework for bayesian opti- mization in embedded subspaces.

Dimensionality Reduction Techniques for Global Bayesian Optimisation A framework for bayesian opti- mization in embedded subspaces

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:07.707246Z

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 f066d117-d56e-4017-b32b-a766e3146ccc · outbound

This paper cites A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance.

Dimensionality Reduction Techniques for Global Bayesian Optimisation A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:18:07.211158Z

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 a4ba31ba-d924-4e3c-91dc-07c18c06c77d · outbound

This paper cites On the robustness of a simple domain reduction scheme for simulation-based optimization.

Dimensionality Reduction Techniques for Global Bayesian Optimisation On the robustness of a simple domain reduction scheme for simulation-based optimization

Reference 23

Resolution: verified exact; doi, observed 2026-08-11T17:18:07.186359Z

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 4d922604-54af-47da-a15d-2a43b7986ab2 · outbound

This paper cites Surjanovic and D.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Surjanovic and D

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:07.689194Z

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 6fdb5a1c-8f8b-464d-b272-527886b11564 · outbound

This paper cites Sample-efficient opti- mization in the latent space of deep generative models via weighted retraining.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Sample-efficient opti- mization in the latent space of deep generative models via weighted retraining

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:07.670720Z

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 31f96cdd-290c-42fb-a14f-4f8c1c736bd2 · outbound

This paper cites Velliangiri, S.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Velliangiri, S

Reference 26

Resolution: verified exact; doi, observed 2026-08-11T17:18:07.168286Z

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 38efd49b-e121-4d4c-8fc8-9c65a3e650ca · outbound

This paper cites an unresolved cited work.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-11T17:18:07.653042Z

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

Observation 74eec4d3-4d5f-4ca6-8a85-bea3af0cd77a · outbound

This paper cites Black, and Eric Nyberg.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Black, and Eric Nyberg

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:07.635864Z

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 ac6aad8a-b722-45cc-b60e-c751c9b5b07a · outbound

This paper cites The models are pre-trained according to the details in Table 5.

Dimensionality Reduction Techniques for Global Bayesian Optimisation The models are pre-trained according to the details in Table 5

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:18:07.617665Z

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

Observation 89dd4d0d-233c-4129-86b3-459db2e73262 · outbound

This paper cites an unresolved cited work.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-11T17:18:07.600985Z

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 17f46729-f93e-41c7-8f3b-89c04496c7af · outbound

This paper cites URL http://dx.doi.org/10.21437/ Interspeech.2019-2278.

Dimensionality Reduction Techniques for Global Bayesian Optimisation URL http://dx.doi.org/10.21437/ Interspeech.2019-2278

Reference 2019

Resolution: verified exact; doi, observed 2026-08-11T17:18:07.150325Z

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.