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Paper Citation Record · LEDGER

Balanced Resonate-and-Fire Neurons

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.14603.

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

pith.paper-citation-record.v1
2402.14603 v2

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 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:59:34.814798Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:07:15.296147Z

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 b10d9464-40f8-4df7-8147-60444abec892 · inbound

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network cites this paper.

ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network Balanced Resonate-and-Fire Neurons

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T20:59:34.814798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:59:34.814798Z digest=sha256:4f026db6f8cd53399a926fff2a9656c73ca9264672f40d6661c09564bbe32dfe

Observation c0da1b04-0ff0-431d-85f8-d18c875d1005 · inbound

SiLIF: Structured State Space Model Dynamics and Parametrization for Spiking Neural Networks cites this paper.

SiLIF: Structured State Space Model Dynamics and Parametrization for Spiking Neural Networks Balanced Resonate-and-Fire Neurons

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:07:15.297474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T11:05:05.783726Z digest=sha256:f88c38667915a6599401fd849a60f56f9e8ecca14cf2d18381343a302a92ce56

Observation 2776cb31-0f96-4d66-8d06-988dffee73ce · inbound

Optimization of Low-Latency Spiking Neural Networks Utilizing Historical Dynamics of Refractory Periods cites this paper.

Optimization of Low-Latency Spiking Neural Networks Utilizing Historical Dynamics of Refractory Periods Balanced Resonate-and-Fire Neurons

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T21:44:57.532303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:44:57.532303Z digest=sha256:637821242a8eb26609e1057f8939ca1558ac39d62800575000acf9c762da09ed