Paper Citation Record · LEDGER

Transfer Learning for Bayesian Optimization: A Survey

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2302.05927.

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

pith.paper-citation-record.v1
2302.05927 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:09:12.794291Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

18
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 56ca77d6-eb93-4dad-a71e-b415b748e8bd · inbound

Monte Carlo Tree Search based Space Transfer for Black-box Optimization cites this paper.

Monte Carlo Tree Search based Space Transfer for Black-box Optimization Transfer Learning for Bayesian Optimization: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T19:09:12.794291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc8d825f-5f93-4a47-939c-94bf9ccf5d42 · inbound

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings cites this paper.

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings Transfer Learning for Bayesian Optimization: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:46:50.519015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6e9c1be-d234-46df-865f-c21b24501330 · inbound

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? cites this paper.

Are encoders able to learn landmarkers for warm-starting of Hyperparameter Optimization? Transfer Learning for Bayesian Optimization: A Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T16:51:15.522683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a845d0-6071-4827-ba40-ac4a30a90b3e · inbound

Efficient Visual Appearance Optimization by Learning from Prior Preferences cites this paper.

Efficient Visual Appearance Optimization by Learning from Prior Preferences Transfer Learning for Bayesian Optimization: A Survey

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T15:39:31.212436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b41d8c2d-ad9f-47d0-8f0b-6d267811dc44 · inbound

BayMOTH: Bayesian optiMizatiOn with meTa-lookahead -- a simple approacH cites this paper.

BayMOTH: Bayesian optiMizatiOn with meTa-lookahead -- a simple approacH Transfer Learning for Bayesian Optimization: A Survey

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:50:58.712293Z

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 fe3a06b0-41e6-4c1a-84cc-61a1777cc7bd · inbound

Bayesian Optimization of a Multi-Product Chemical Reactor Using Composite Models and Partial Physics Knowledge cites this paper.

Bayesian Optimization of a Multi-Product Chemical Reactor Using Composite Models and Partial Physics Knowledge Transfer Learning for Bayesian Optimization: A Survey

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-27T18:01:08.444562Z

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.