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Paper Citation Record · LEDGER

A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.03553.

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

pith.paper-citation-record.v1
2002.03553 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:26:16.814718Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

6
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1d451ec0-61ce-407e-bfdb-37326f4f0397 · inbound

Learnable Sparsification of Die-to-Die Communication via Spike-Based Encoding cites this paper.

Learnable Sparsification of Die-to-Die Communication via Spike-Based Encoding A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T20:26:16.814718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:26:16.814718Z digest=sha256:942be46d73beb1cc4faa2a43c62975576e395c74383bfade16ebf5d2cb0161c0

Observation ec762cae-862c-4c4e-951d-d682ab448c9a · inbound

Unsupervised Sparse Coding-based Spiking Neural Network for Real-time Spike Sorting cites this paper.

Unsupervised Sparse Coding-based Spiking Neural Network for Real-time Spike Sorting A Spike in Performance: Training Hybrid-Spiking Neural Networks with Quantized Activation Functions

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:32:43.201009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T21:32:42.024505Z digest=sha256:2b35ab289cc0f609d516d2c85f4bc5c90b10038c297df877ed41b2f8e8ccba7c