Paper Citation Record · LEDGER

Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.02020.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.02020 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:26:16.826008Z

measured 1 of 1 external citation measurements

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 8f2b2c85-08a4-404e-8d93-39cc66a41c36 · inbound

Learnable Sparsification of Die-to-Die Communication via Spike-Based Encoding cites this paper.

Learnable Sparsification of Die-to-Die Communication via Spike-Based Encoding Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:16.826008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e63512c-c3dc-45d1-9daf-2447b2550ddd · inbound

DRiVE: Dynamic Recognition in VEhicles using snnTorch cites this paper.

DRiVE: Dynamic Recognition in VEhicles using snnTorch Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T13:00:09.315127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.