Pith. sign in

Paper Citation Record · LEDGER

A General Framework for User-Guided Bayesian Optimization

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.14645.

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

pith.paper-citation-record.v1
2311.14645 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:39:07.464979Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:21:25.335049Z

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 f2265d17-76ad-41b6-9d99-41f245892f0e · inbound

FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization cites this paper.

FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization A General Framework for User-Guided Bayesian Optimization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T05:39:07.464979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:39:07.464979Z digest=sha256:d7e0225a678dec0a503371ad0996f5ac51c5f58967844b485d6a92e0cdc17bec

Observation 5765588b-19f7-4f22-a670-723dd4e68a70 · inbound

Active Learning for Gaussian Process Regression Under Self-Induced Boltzmann Weights cites this paper.

Active Learning for Gaussian Process Regression Under Self-Induced Boltzmann Weights A General Framework for User-Guided Bayesian Optimization

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:21:25.343848Z

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.

source=arxiv_source observed=2026-05-12T04:23:15.205989Z digest=sha256:a9b9e5c54d279cd6df6a03bcd3ccda399bd9bb76de74007d6ea5044784908972