Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.09218.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:17:01.809213Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T01:10:33.917989Z
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 64156cc0-bef9-4587-8439-52ccd876e8af · inbound
MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents cites this paper.
MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:17:01.809213Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c188e97-5a8a-44b9-8923-3dd471e0a178 · inbound
Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network cites this paper.
Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T01:10:33.921011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.