Paper Citation Record · LEDGER

DRiVE: Dynamic Recognition in VEhicles using snnTorch

As of 10 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2502.10421.

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

pith.paper-citation-record.v1
2502.10421 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:00:09.344019Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact7
verified fuzzy2
unresolved8
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e698c305-e744-4e41-a686-dc6e9d8f5144 · outbound

This paper cites Spiking Neural Networks and Their Applications: A Review,.

DRiVE: Dynamic Recognition in VEhicles using snnTorch Spiking Neural Networks and Their Applications: A Review,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T13:00:09.290840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 703d3e8e-2d87-4ec6-998e-55bf1ad79b1c · outbound

This paper cites Training Spiking Neural Networks Using Lessons From Deep Learning,.

DRiVE: Dynamic Recognition in VEhicles using snnTorch Training Spiking Neural Networks Using Lessons From Deep Learning,

Reference 2

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T13:00:09.987636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 278f96fe-7947-4e7f-9a7e-b12d2f3c45b5 · outbound

This paper cites A Review of Object Detection Models based on Convolutional Neural Network,.

DRiVE: Dynamic Recognition in VEhicles using snnTorch A Review of Object Detection Models based on Convolutional Neural Network,

Reference 3

Resolution: verified exact; doi, observed 2026-08-09T13:00:09.456953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 75e6fb41-459d-4aad-9ef4-c5584e06fe65 · outbound

This paper cites A Review on Traditional and Deep Learning based Object Detection Methods,.

DRiVE: Dynamic Recognition in VEhicles using snnTorch A Review on Traditional and Deep Learning based Object Detection Methods,

Reference 4

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T13:00:09.653821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff6191ef-7869-4cf4-9724-989f87608033 · outbound

This paper cites A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices.

DRiVE: Dynamic Recognition in VEhicles using snnTorch A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T13:00:09.304478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e3a2d0c-62da-49eb-b692-6084b20969db · outbound

This paper cites Parallelized Multi-Agent Bayesian Optimization in Lava.

DRiVE: Dynamic Recognition in VEhicles using snnTorch Parallelized Multi-Agent Bayesian Optimization in Lava

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:00:09.438033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a50a285-856c-4d4c-a8cf-7d3d796001ef · outbound

This paper cites On Neuromorphic Computing: A Case Study on Radio Resource Allocation with LAVA Software Framework,.

DRiVE: Dynamic Recognition in VEhicles using snnTorch On Neuromorphic Computing: A Case Study on Radio Resource Allocation with LAVA Software Framework,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:00:10.005899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4bc7881d-4474-4749-9332-0d6eaabe6e3d · outbound

This paper cites Recognizing Images with at most one Spike per Neuron.

DRiVE: Dynamic Recognition in VEhicles using snnTorch Recognizing Images with at most one Spike per Neuron

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:00:09.427513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4e63512c-c3dc-45d1-9daf-2447b2550ddd · outbound

This paper cites Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket.

DRiVE: Dynamic Recognition in VEhicles using snnTorch Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T13:00:09.315127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75fac64c-2938-413b-9c98-fe82cf88a9ea · outbound

This paper cites Keys to accurate feature extraction using residual spiking neural networks,.

DRiVE: Dynamic Recognition in VEhicles using snnTorch Keys to accurate feature extraction using residual spiking neural networks,

Reference 11

Resolution: verified exact; doi, observed 2026-08-09T13:00:09.410259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f45d290-69be-425c-9e29-f80eff3c69ac · outbound

This paper cites Fast Convergence of Competitive Spiking Neural Networks with Sample -Based Weight Initialization,.

DRiVE: Dynamic Recognition in VEhicles using snnTorch Fast Convergence of Competitive Spiking Neural Networks with Sample -Based Weight Initialization,

Reference 12

Resolution: malformed identifier; no resolver link, observed 2026-08-09T13:00:09.321849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 648bba46-8066-473b-b0b2-83eadf39aba3 · outbound

This paper cites (PDF) Research Progress of spiking neural network in image classification: a review,.

DRiVE: Dynamic Recognition in VEhicles using snnTorch (PDF) Research Progress of spiking neural network in image classification: a review,

Reference 13

Resolution: verified exact; doi, observed 2026-08-09T13:00:09.401091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 342051ea-e980-403f-81ba-00dffa27fb5e · outbound

This paper cites SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks,.

DRiVE: Dynamic Recognition in VEhicles using snnTorch SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T13:00:09.327366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3aa7508-9a9b-4639-b938-68036d802500 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DRiVE: Dynamic Recognition in VEhicles using snnTorch Adam: A Method for Stochastic Optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T13:00:09.330779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64055f2c-a5b3-469e-9042-8d3355361e2e · outbound

This paper cites Decoupled Weight Decay Regularization.

DRiVE: Dynamic Recognition in VEhicles using snnTorch Decoupled Weight Decay Regularization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T13:00:09.333645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cacf87bb-8f2a-4daa-8aab-9a54561e896a · outbound

This paper cites Surrogate Gradient Learning in Spiking Neural Networks.

DRiVE: Dynamic Recognition in VEhicles using snnTorch Surrogate Gradient Learning in Spiking Neural Networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T13:00:09.336835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe46cae2-ea85-4aaf-a504-96ef6f210f0d · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

DRiVE: Dynamic Recognition in VEhicles using snnTorch Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T13:00:09.340324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1dd7dce-4446-437e-85ea-da247b1fc883 · outbound

This paper cites Vehicle Detection Image Set.

DRiVE: Dynamic Recognition in VEhicles using snnTorch Vehicle Detection Image Set

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:00:09.997062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.