Pith. sign in

Paper Citation Record · LEDGER

Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.03962.

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

pith.paper-citation-record.v1
1910.03962 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:55:27.812706Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:49:59.511553Z

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 e07c5fe8-aa03-4e2a-bc62-ae9bde3ec36c · inbound

Heterophilic Graph Neural Networks Optimization with Causal Message-passing cites this paper.

Heterophilic Graph Neural Networks Optimization with Causal Message-passing Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-12T15:55:27.812706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:55:27.812706Z digest=sha256:049e3e22b45e215c80c6b0ca9f8161738d7745382f66541db2ad24130d41ae70

Observation 43504639-4cf6-47b2-ae70-6d2ac58db031 · inbound

Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning cites this paper.

Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks

Reference 66

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T18:49:59.621204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T18:49:58.692033Z digest=sha256:5c56b7d838a6902bafd69bf321a93fb454cf898292ccb0948e91707b0173c594