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Paper Citation Record · LEDGER

Bayesian Optimization with High-Dimensional Outputs

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.12997.

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

pith.paper-citation-record.v1
2106.12997 v2

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:16:41.035075Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:25:55.435380Z

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 24f5b6b4-7b88-41e9-928b-d71520babfcf · 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 Bayesian Optimization with High-Dimensional Outputs

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T11:16:41.035075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:16:41.035075Z digest=sha256:911e47c1ca096045da3f5fc2bd3035acaab5e7deecbb77d52d76004af71f1359

Observation b4ec7644-8d2f-4977-8ae5-0972fff3c19a · inbound

Multi-fidelity Bayesian Data-Driven Design of Energy Absorbing Spinodoid Cellular Structures cites this paper.

Multi-fidelity Bayesian Data-Driven Design of Energy Absorbing Spinodoid Cellular Structures Bayesian Optimization with High-Dimensional Outputs

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:25:55.439578Z

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.

source=pdf_text observed=2026-08-06T14:25:55.323365Z digest=sha256:e43b43fef48d7f98ebb69ee7ea25dfe1face3d25e32084a3ead9131dfaeb2e24