Paper Citation Record · LEDGER

DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2008.03658.

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

pith.paper-citation-record.v1
2008.03658 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:34:51.569959Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T20:05:04.796569Z

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 f21b8709-0dfc-4738-b2c1-04b0c9777414 · inbound

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks cites this paper.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:51.569959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4e211f8-af38-49f2-bc3e-dd0524671fef · inbound

TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers cites this paper.

TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T08:05:00.095767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caefacab-0ee8-42c6-bce4-4b921e2aa9f8 · inbound

Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients cites this paper.

Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:05:04.798571Z

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.

Observation e9f57887-21e8-40f7-bc89-0ca5ab11bbb8 · inbound

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks cites this paper.

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T00:04:39.131894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.