Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.21419.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:03:51.742372Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T20:15:10.615434Z
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 506dfd51-7681-485e-9133-3eb47310d523 · inbound
Large Language Models for Depression Recognition in Spoken Language Integrating Psychological Knowledge cites this paper.
Large Language Models for Depression Recognition in Spoken Language Integrating Psychological Knowledge Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:03:51.742372Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80406996-c0cd-477b-800b-e3682baf8878 · inbound
Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence cites this paper.
Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence Neuroplasticity in Artificial Intelligence -- An Overview and Inspirations on Drop In & Out Learning
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T20:15:10.618244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.