Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2008.03658.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T05:34:14.439853Z
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 f85f2d95-767c-4e4d-b6ec-17ad57ad5839 · inbound
Spiking Neural Network Feature Discrimination Boosts Modality Fusion cites this paper.
Spiking Neural Network Feature Discrimination Boosts Modality Fusion DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T05:34:14.439853Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-09T06:31:02.800959+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.