Paper Citation Record · LEDGER

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization

As of 17 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2505.11281.

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

pith.paper-citation-record.v1
2505.11281 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:59:07.526851Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

16 of 16 outbound references displayed

verified exact1
verified fuzzy12
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdd216f9-2453-4f5e-94e1-91f9c703fbc4 · outbound

This paper cites Multi-fidelity surrogate-based optimization for electromagnetic simulation acceleration,.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization Multi-fidelity surrogate-based optimization for electromagnetic simulation acceleration,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:07.838163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fe255ca5-983e-42ef-b43b-99990e2b69ad · outbound

This paper cites A global bayesian optimization algorithm and its application to integrated system design,.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization A global bayesian optimization algorithm and its application to integrated system design,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:07.819583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ab878ee5-cd07-4a3b-9a98-b0c6983e37d2 · outbound

This paper cites Batch bayesian optimization via multi- objective acquisition ensemble for automated analog circuit design,.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization Batch bayesian optimization via multi- objective acquisition ensemble for automated analog circuit design,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:07.802209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation beff6280-e412-4c80-bdd6-9b75f909a31e · outbound

This paper cites Hyperopt: A python library for optimizing the hyperparameters of machine learning algorithms,.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization Hyperopt: A python library for optimizing the hyperparameters of machine learning algorithms,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:07.784613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f9d8f165-9af9-45d8-b31c-8b4d8d776b36 · outbound

This paper cites Practical bayesian optimization of machine learning algorithms,.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization Practical bayesian optimization of machine learning algorithms,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:07.470192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85e84c4b-c38c-42ef-870a-fa71ed35a39f · outbound

This paper cites A bayesian interactive optimization approach to procedural animation design,.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization A bayesian interactive optimization approach to procedural animation design,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:07.756104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bf3cdae2-fab7-4505-8f4e-41f1f627fdcc · outbound

This paper cites Bayesian optimization in high dimensions via random embeddings,.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization Bayesian optimization in high dimensions via random embeddings,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:07.738626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f3ccae11-5c8d-437a-a8c3-70df848ecb08 · outbound

This paper cites Scalable global optimization via local bayesian optimization,.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization Scalable global optimization via local bayesian optimization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:07.721872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 86198bbe-bac9-42d4-8a70-7b6a71506a3d · outbound

This paper cites Practical heteroscedastic gaussian process modeling for large simulation experiments,.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization Practical heteroscedastic gaussian process modeling for large simulation experiments,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:07.703838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3796d6cb-fbb1-477e-b138-d2412fd92cae · outbound

This paper cites High dimensional Bayesian Optimization via Condensing-Expansion Projection.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization High dimensional Bayesian Optimization via Condensing-Expansion Projection

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:59:07.615447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8ad1f535-fb51-4a83-8cba-185d239ef022 · outbound

This paper cites Bayesian optimization in high-dimensional spaces: A brief survey,.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization Bayesian optimization in high-dimensional spaces: A brief survey,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:07.685477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 83e9f788-d596-48cb-a5fd-52145f6130bf · outbound

This paper cites Mixed-Variable Bayesian Optimization.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization Mixed-Variable Bayesian Optimization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:07.506135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81aae248-53e1-45e7-b8c0-7ff786e93ef5 · outbound

This paper cites Multi-task bayesian optimization,.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization Multi-task bayesian optimization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:07.668814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c3529cf2-3487-4804-ac41-201117c54204 · outbound

This paper cites Bayesian optimization in a billion dimensions via random embeddings,.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization Bayesian optimization in a billion dimensions via random embeddings,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:07.652952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 34ad8746-f08c-4e06-8c3b-9ba6f0212d0a · outbound

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

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:07.521305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb5fb8ff-c4e5-4c73-8a09-b137f1387b55 · outbound

This paper cites Smoothed analysis of the condition numbers and growth factors of matrices,.

Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization Smoothed analysis of the condition numbers and growth factors of matrices,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:07.634906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.