Paper Citation Record · LEDGER

Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2005.14601.

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

pith.paper-citation-record.v1
2005.14601 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:40:02.574634Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T09:24:17.293051Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0ff90f98-884d-47dc-8858-8e52822d7731 · inbound

Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces cites this paper.

Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:24:17.296865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0a6e117f-1e7c-4136-932b-8901432c382a · inbound

High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces cites this paper.

High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T10:34:45.245878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ee07279-5fc5-4f46-864c-40ff16ce13a3 · inbound

Understanding High-Dimensional Bayesian Optimization cites this paper.

Understanding High-Dimensional Bayesian Optimization Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:32:28.412221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 258d6b54-b39c-43c6-8f6d-cf6b74d8cf1e · inbound

Finding the Needle in a Haystack: Test-Time Analog Circuit Representation Adaptation for Bayesian Optimization cites this paper.

Finding the Needle in a Haystack: Test-Time Analog Circuit Representation Adaptation for Bayesian Optimization Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T04:40:02.574634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.