Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.04486.
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 2026-08-07T05:34:51.538548Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:45:00.567978Z
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 67b64e3e-a6fd-4f8b-8ff0-596fd2db3edb · inbound
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks cites this paper.
ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:34:51.538548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d877848-bb68-491e-bd1e-ccc6a3b951dc · inbound
Optimization of Low-Latency Spiking Neural Networks Utilizing Historical Dynamics of Refractory Periods cites this paper.
Optimization of Low-Latency Spiking Neural Networks Utilizing Historical Dynamics of Refractory Periods Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:45:00.613919Z
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.