Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.04289.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T17:09:35.094593Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T03:45:58.514286Z
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 5f2d3ca3-bfec-499e-a3de-b64c5f210a9a · inbound
QKFormer: Hierarchical Spiking Transformer using Q-K Attention cites this paper.
QKFormer: Hierarchical Spiking Transformer using Q-K Attention Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T03:45:58.517887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ad78182e-9162-40d7-84f2-fc8c30dd847c · inbound
Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning cites this paper.
Hybrid variable spiking graph neural networks for energy-efficient scientific machine learning Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:09:35.094593Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7dab6ac-de88-4a1a-9029-defe04011e16 · inbound
SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning cites this paper.
SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:59:46.433402Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.