Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Constraining the Parameters of High-Dimensional Models with Active Learning
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1905.08628.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T00:08:52.998046Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T19:21:47.373219Z
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 9c200a36-bec1-4cad-b8b4-57affb4e6e93 · inbound
DLScanner: A parameter space scanner package assisted by deep learning methods cites this paper.
DLScanner: A parameter space scanner package assisted by deep learning methods Constraining the Parameters of High-Dimensional Models with Active Learning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T00:08:52.998046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d347ae5-37bc-432e-b316-f46e438b77ac · inbound
Normalizing Flow-Assisted Nested Sampling on Type-II Seesaw Model cites this paper.
Normalizing Flow-Assisted Nested Sampling on Type-II Seesaw Model Constraining the Parameters of High-Dimensional Models with Active Learning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:21:25.293594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 026b891e-6b5f-43a7-802b-59186f4a16c1 · inbound
Machine Learning in the 2HDM2S model for Dark Matter cites this paper.
Machine Learning in the 2HDM2S model for Dark Matter Constraining the Parameters of High-Dimensional Models with Active Learning
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T19:21:47.375886Z
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.