Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bayesian optimal experimental design with Wasserstein information criteria
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.10092.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T14:38:11.478562Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T12:14:51.348715Z
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 3def2175-3eab-4681-82e8-59e62af5002e · inbound
Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions cites this paper.
Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions Bayesian optimal experimental design with Wasserstein information criteria
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-28T02:03:51.681556Z
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.
Observation 892c1149-6955-44f2-b95a-fd8b00a362e9 · inbound
Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems cites this paper.
Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems Bayesian optimal experimental design with Wasserstein information criteria
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-28T02:03:51.681556Z
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.
Observation 34f019da-2ea2-4b72-9204-6f855f5195fc · inbound
Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems cites this paper.
Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems Bayesian optimal experimental design with Wasserstein information criteria
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-28T02:03:51.681556Z
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.
Observation d2e1563a-1dc1-4c8c-a6ad-b8a576161851 · inbound
A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems cites this paper.
A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems Bayesian optimal experimental design with Wasserstein information criteria
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T12:14:51.350515Z
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.
Observation fbd6fdc8-0bd8-401b-b886-eeac7ceb3077 · inbound
Uncertainty quantification in mechanics: A unified Bayesian perspective cites this paper.
Uncertainty quantification in mechanics: A unified Bayesian perspective Bayesian optimal experimental design with Wasserstein information criteria
Reference 193
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:38:11.478562Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.