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Paper Citation Record · LEDGER

Bayesian Optimization in Materials Science: A Survey

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2108.00002.

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

pith.paper-citation-record.v1
2108.00002 v1

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:52:14.857560Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:07:14.506381Z

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 c97db557-f3c1-4cf6-a13a-e2359c34df10 · inbound

Taking the GP Out of the Loop cites this paper.

Taking the GP Out of the Loop Bayesian Optimization in Materials Science: A Survey

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:07:14.509941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T09:05:26.561226Z digest=sha256:fabc2f936572491dd344ef7020fdc9ab0843083040cb87426a8211e4325bb212

Observation 0afb8637-8195-42a9-b754-5f9f0dd02373 · inbound

Active Learning Guided Design Space Refinement for Scalable Multi-Objective Bayesian Optimization in Materials Discovery cites this paper.

Active Learning Guided Design Space Refinement for Scalable Multi-Objective Bayesian Optimization in Materials Discovery Bayesian Optimization in Materials Science: A Survey

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T19:52:14.857560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:52:14.857560Z digest=sha256:9fdb768dfcedd8888eff156bb148af07be4e72d4550999a3a64d35758e630715