Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.02020.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T07:26:58.608421Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
12
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 6cab2ef9-bc19-4d4f-b397-c40ce1d37960 · inbound
SVL: Empowering Spiking Neural Networks for Efficient 3D Open-World Understanding cites this paper.
SVL: Empowering Spiking Neural Networks for Efficient 3D Open-World Understanding Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T02:14:31.417382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 888fa27d-04f9-4283-a639-60737c20f2ff · inbound
Closing the Theory-Practice Gap in Spiking Transformers via Effective Dimension cites this paper.
Closing the Theory-Practice Gap in Spiking Transformers via Effective Dimension Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:23:36.564133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c0ff016a-09ee-4aba-80a9-22558caeab49 · inbound
Uncertainty-Aware Token Importance Estimation in Spiking Transformers cites this paper.
Uncertainty-Aware Token Importance Estimation in Spiking Transformers Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:11:24.253643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d409c248-dc40-4024-93e0-965d7fe17ea9 · inbound
Breaking Global Self-Attention Bottlenecks in Transformer-based Spiking Neural Networks with Local Structure-Aware Self-Attention cites this paper.
Breaking Global Self-Attention Bottlenecks in Transformer-based Spiking Neural Networks with Local Structure-Aware Self-Attention Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T06:19:49.653698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 166ced12-60eb-4804-abda-9a63a4aa3266 · inbound
LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning cites this paper.
LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T13:48:21.532581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.