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Paper Citation Record · LEDGER

BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2110.14092.

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

pith.paper-citation-record.v1
2110.14092 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:25:54.211166Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T23:25:55.039853Z

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 b67e3b3b-7b14-46af-b314-d7bf57ad2300 · inbound

Full Integer Arithmetic Online Training for Spiking Neural Networks cites this paper.

Full Integer Arithmetic Online Training for Spiking Neural Networks BioGrad: Biologically Plausible Gradient-Based Learning for Spiking Neural Networks

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:25:55.053553Z

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=2026-08-04T23:25:54.211166Z digest=sha256:0592639062bd6b1dd736c9f487daed173917d6a4c1f4ec98f5d421f0f938785f