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Paper Citation Record · LEDGER

Expressivity of Spiking Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.08218.

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

pith.paper-citation-record.v1
2308.08218 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:16:20.000075Z

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

0
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 132396c5-5537-4aeb-aca4-731d31a94432 · inbound

Is In-Context Universality Enough? MLPs are Also Universal In-Context cites this paper.

Is In-Context Universality Enough? MLPs are Also Universal In-Context Expressivity of Spiking Neural Networks

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-09T05:16:20.000075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:16:20.000075Z digest=sha256:c10c53cdb512a1ae7607886c4d1ac91c8223a68c72e3c7013c198fa5b25fe43e

Observation c94cb6a0-28d6-4ce2-bc1f-eeecae377754 · 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 Expressivity of Spiking Neural Networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:23:36.535235Z

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.

source=pdf_text observed=2026-05-10T09:23:35.108010Z digest=sha256:41f16cd61d8145c99ae11c957e330158514dcd51d0567551f19b75b43db37b99