Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.12921.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:46:03.769414Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:46:04.179442Z
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 a3ba938b-8245-4878-8cb5-fcc45f90c37e · inbound
Human-Machine Collaboration-Guided Space Design: Combination of Machine Learning Models and Humanistic Design Concepts cites this paper.
Human-Machine Collaboration-Guided Space Design: Combination of Machine Learning Models and Humanistic Design Concepts AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:46:04.187625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 60795c95-89fd-43a8-84cf-6b69238b0e24 · inbound
Unsupervised Multi-Attention Meta Transformer for Rotating Machinery Fault Diagnosis cites this paper.
Unsupervised Multi-Attention Meta Transformer for Rotating Machinery Fault Diagnosis AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:27:52.631815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.