Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.09191.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:19:32.682263Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T16:19:55.914024Z
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 9ad815e8-4009-42e6-8804-d00f973ae559 · inbound
Generative Multi-Form Bayesian Optimization cites this paper.
Generative Multi-Form Bayesian Optimization Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T16:19:55.919728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 835f0457-280e-4ed1-9e68-87716be78b6c · inbound
Soft-Constrained Optimization of Latent Space in Variational Autoencoders cites this paper.
Soft-Constrained Optimization of Latent Space in Variational Autoencoders Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T13:42:10.496453Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d361324e-a4aa-4663-bf91-acc5faa3d92f · inbound
How to Spend Your Oracle Budget: Practical Guidance for Protein Structure Prediction Models cites this paper.
How to Spend Your Oracle Budget: Practical Guidance for Protein Structure Prediction Models Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:19:32.682263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.