Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring Parameter Spaces with Artificial Intelligence and Machine Learning Black-Box Optimisation Algorithms
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2206.09223.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:13:34.950232Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T10:26:52.360194Z
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 5bb7359f-c6b0-4fd6-b7e2-ae80278efc29 · inbound
Unearthing large pseudoscalar Yukawa couplings with Machine Learning cites this paper.
Unearthing large pseudoscalar Yukawa couplings with Machine Learning Exploring Parameter Spaces with Artificial Intelligence and Machine Learning Black-Box Optimisation Algorithms
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:13:34.950232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b07af24-664a-4508-9498-88bbf1cea678 · inbound
Machine Learning in the 2HDM2S model for Dark Matter cites this paper.
Machine Learning in the 2HDM2S model for Dark Matter Exploring Parameter Spaces with Artificial Intelligence and Machine Learning Black-Box Optimisation Algorithms
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T19:21:47.302217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fcd9953a-347d-4021-b870-24f916ac0f43 · inbound
Good flavor search in SU(5): a machine learning approach cites this paper.
Good flavor search in SU(5): a machine learning approach Exploring Parameter Spaces with Artificial Intelligence and Machine Learning Black-Box Optimisation Algorithms
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T18:30:28.611478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 732c41fe-6ae5-4bdd-bed3-a185c6f22bf6 · inbound
BSMArt 2: simpler and faster parameter space scans cites this paper.
BSMArt 2: simpler and faster parameter space scans Exploring Parameter Spaces with Artificial Intelligence and Machine Learning Black-Box Optimisation Algorithms
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T10:26:52.361508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 49189ca2-1c1f-4a32-a98a-10acf3fe5d15 · inbound
EasyScan_HEP 2: Agent-Ready Parameter Scans for High-Energy Physics cites this paper.
EasyScan_HEP 2: Agent-Ready Parameter Scans for High-Energy Physics Exploring Parameter Spaces with Artificial Intelligence and Machine Learning Black-Box Optimisation Algorithms
Reference 35
- Resolution
- malformed identifier
- arxiv_id, observed 2026-07-01T10:45:42.236826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.