Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Gradient Descent for Spiking Neural Networks
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1706.04698.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:16:30.606204Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T05:16:31.429787Z
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 55400f3b-42a2-48f1-864a-cf38f9e80e70 · inbound
Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective cites this paper.
Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective Gradient Descent for Spiking Neural Networks
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T05:16:31.435049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.