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Paper Citation Record · LEDGER

Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.16235.

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

pith.paper-citation-record.v1
2307.16235 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:09:32.233122Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T06:02:32.900941Z

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 1ee15b79-b176-4761-892a-8458b2ceb590 · inbound

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge cites this paper.

CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:09:32.233122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:09:32.233122Z digest=sha256:5bdb3d4e227a0a0f5aa968ed6019e436153ba947135a76372297c6bb6291334c

Observation 29c43566-b207-48b4-8f14-42c140c30666 · inbound

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection cites this paper.

Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-07T06:02:32.904336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T06:02:32.544491Z digest=sha256:27c2af7dd4d3762725d3e737e9d255965f3614f543337265cce1c58ad94ce713