Pith. sign in

Paper Citation Record · LEDGER

Scalable Constrained Bayesian Optimization

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.08526.

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

pith.paper-citation-record.v1
2002.08526 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:16:40.973875Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T17:35:41.442313Z

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 f2db80e3-d594-4e3a-9103-e36759daf40c · inbound

High-Dimensional Bayesian Optimisation with Large-Scale Constraints via Latent Space Gaussian Processes cites this paper.

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

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T11:16:40.973875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:16:40.973875Z digest=sha256:759933f7b53da87011364b27a31550489d6889901f24c94054939dae73ad0aeb

Observation d3308dab-3e59-40de-90af-18fc2cd069fa · inbound

High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings cites this paper.

High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings Scalable Constrained Bayesian Optimization

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-09T17:35:41.446309Z

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.

source=pdf_text observed=2026-08-09T17:35:41.296225Z digest=sha256:e9a7cac377af2929471681f47e660df7e2dfb0e385fa6d8e8e81678cda29925a