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Paper Citation Record · LEDGER

Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.10686.

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

pith.paper-citation-record.v1
2211.10686 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:04:27.619580Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T13:48:20.957285Z

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 90e5a661-fc92-405b-a51d-30edfad688c0 · inbound

Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks cites this paper.

Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T13:04:27.619580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:04:27.619580Z digest=sha256:5ece8cf5b5912f510cfe3399b91c789a01b461dc5efaf96ed89f63b1f838122d

Observation a3b52750-fb4e-44be-8df8-6b0984522d92 · inbound

Energy-Efficient Deep Reinforcement Learning with Spiking Transformers cites this paper.

Energy-Efficient Deep Reinforcement Learning with Spiking Transformers Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T15:35:39.631733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:35:39.631733Z digest=sha256:beca85ee2a471aa0b3d8d8cb5fdcf6043f416512d54f6af8fea203a2723ce9cc

Observation 61eeab1d-480a-4cae-a698-60c51d25c7f0 · inbound

SpikeDecoder: Realizing the GPT Architecture with Spiking Neural Networks cites this paper.

SpikeDecoder: Realizing the GPT Architecture with Spiking Neural Networks Spikeformer: A Novel Architecture for Training High-Performance Low-Latency Spiking Neural Network

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:48:20.958782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-27T07:32:09.226186Z digest=sha256:483de3221cde5553b138589976b0566946e1b120d4ca434e0645f6f88e799eaa