Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2307.16236.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:09:32.364738Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:09:35.095595Z
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 408de803-5924-4c9f-bd93-867c94aa970f · inbound
CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge cites this paper.
CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey
Reference 28
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T14:09:35.175066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.