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Paper Citation Record · LEDGER

Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2005.01807.

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

pith.paper-citation-record.v1
2005.01807 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:34:14.436688Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T06:19:49.684656Z

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 0a7ee116-ec51-465b-9457-90112da336f9 · inbound

Spiking Neural Network Feature Discrimination Boosts Modality Fusion cites this paper.

Spiking Neural Network Feature Discrimination Boosts Modality Fusion Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-09T05:34:14.436688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:34:14.436688Z digest=sha256:dd7d625736d220e44beeb7f90844b8669595b8f15073a39c3e64208d0f1e1059

Observation 12f3cc5c-16fe-4f7e-be70-2158e96dd7cd · inbound

Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons cites this paper.

Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T11:12:15.464585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:12:15.464585Z digest=sha256:0e07c2b9ed4b366377314486da596d244d04e62df7cb97407e78508c034f8599

Observation 15447c8c-4558-4b66-b6ef-07921dfa6e63 · 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 Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:51.573620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:51.573620Z digest=sha256:b503a62cfb95c32ed593c6fe8e813ff72d519f0fae6625f78012f3a28c693263

Observation d21f8350-eeae-4c15-b9ef-855fb7825c55 · inbound

Breaking Global Self-Attention Bottlenecks in Transformer-based Spiking Neural Networks with Local Structure-Aware Self-Attention cites this paper.

Breaking Global Self-Attention Bottlenecks in Transformer-based Spiking Neural Networks with Local Structure-Aware Self-Attention Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:19:49.688861Z

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=2026-05-15T06:17:49.425564Z digest=sha256:5286eaa9394835bf6c26731f22226cc5ba992499f0cb12f3c0fd6860e04b571c

Observation 7414da1d-0783-4333-9242-f82a4627ba2c · inbound

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

SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-05T00:04:39.069240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:04:39.069240Z digest=sha256:c56760ece3e8adc87f95185cae364bbf7a9e954e791be5578b3fa3d0e08e14ca

Observation f092f5db-fe4f-498d-8266-1c0cbe0103dd · inbound

AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning cites this paper.

AS-FedBridge: Pseudo-Spike Bridge Distillation for Heterogeneous ANN-SNN Federated Learning Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T21:03:56.580797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:03:56.580797Z digest=sha256:9abab06f67cd9e328b6c6cc8d966318344250d1b7aacc4f60718ab40ce160006