Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An efficient method for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placemen
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2102.06627.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:49:58.793510Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T02:53:48.812183Z
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 3f461c3b-cb1a-4fc3-8674-a6ccff3cad2b · inbound
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo cites this paper.
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo An efficient method for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placemen
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:53:48.815012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ed5581c3-e350-4bca-8e7c-50e829048a9c · inbound
Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning cites this paper.
Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning An efficient method for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placemen
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:49:58.793510Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb70a63a-92ea-487f-8fe4-ba3b34208b0c · inbound
Tucker Tensor Train Taylor Series cites this paper.
Tucker Tensor Train Taylor Series An efficient method for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placemen
Reference 114
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T21:02:01.705689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.