Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.03470.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T19:59:08.091666Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T20:05:04.783980Z
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 63e1f4a4-473c-4e4b-a7fb-0ed3c7bcf2b8 · inbound
Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients cites this paper.
Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T20:05:04.786486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.