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Paper Citation Record · LEDGER

Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.01072.

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

pith.paper-citation-record.v1
2406.01072 v1

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 2026-08-08T17:34:36.884254Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:59:48.241875Z

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 4aad932b-08b6-491a-a082-ba733016ef28 · inbound

QP-SNN: Quantized and Pruned Spiking Neural Networks cites this paper.

QP-SNN: Quantized and Pruned Spiking Neural Networks Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T17:34:36.884254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:34:36.884254Z digest=sha256:c9c98d9dc0ac422b1f769a98427d1dbfb8aecac8cfb7a4fe9b805842410251bf

Observation ef4c3dbb-d04b-4409-b7fe-7929692c5863 · inbound

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning cites this paper.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:59:48.305051Z

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=2026-08-06T21:59:43.805654Z digest=sha256:0f60ec5409fe40ad542c70d91dc414a4c20b468a12df158bfed130f7e8a6a343