Paper Citation Record · LEDGER

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.04921.

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

pith.paper-citation-record.v1
2607.04921 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:26:33.422369Z

measured 38 of 38 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 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

38 of 38 outbound references displayed

verified exact7
verified fuzzy0
unresolved28
parse uncertain0
malformed identifier3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ea798fa-5175-4460-b171-8951f23fafd9 · outbound

This paper cites neurons that fire together, wire together,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing neurons that fire together, wire together,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 8d9d8781-85ff-4735-b57c-646ba9d8d29b · outbound

This paper cites Networks of spiking neurons: The third generation of neural network models,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Networks of spiking neurons: The third generation of neural network models,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation dfbd8ab6-7b81-45d9-84bb-ae4c274c97dd · outbound

This paper cites Towards spike-based machine intelligence with neuromorphic computing,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Towards spike-based machine intelligence with neuromorphic computing,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

Source-reported events for the cited work

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Observation 842da2c4-8f7a-4c33-83aa-d5b8b84b98f6 · outbound

This paper cites Neuromorphic electronic systems,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Neuromorphic electronic systems,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 5526e7a9-bfe8-4c5a-a251-4f9c1ec53e11 · outbound

This paper cites Memory and Information Processing in Neuromorphic Systems,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Memory and Information Processing in Neuromorphic Systems,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation a9522b65-7fcd-4f5a-a4cc-51a087ef6f74 · outbound

This paper cites A Survey of Neuromorphic Computing and Neural Networks in Hardware.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing A Survey of Neuromorphic Computing and Neural Networks in Hardware

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 463118a5-39af-41d1-bb78-a1d7c59473aa · outbound

This paper cites A quantitative description of membrane current and its application to conduction and excitation in nerve,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing A quantitative description of membrane current and its application to conduction and excitation in nerve,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation d5586b4f-0243-468b-8ccb-f741ad88ce18 · outbound

This paper cites Loihi: A Neuromorphic Manycore Processor with On-Chip Learning,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Loihi: A Neuromorphic Manycore Processor with On-Chip Learning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 744626af-2b05-4b0e-9049-7a05ea4d155a · outbound

This paper cites BrainChip Showcases AI Benchmarks & Improved Edge Device Metrics,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing BrainChip Showcases AI Benchmarks & Improved Edge Device Metrics,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 9528865e-bf12-4b5e-90ff-b1061037afa7 · outbound

This paper cites Available: https://brainchip.com/brainchip-showcases-compelling- benchmarks-and-recommends-better-metrics-for-ai- devices-at-the-edge/.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Available: https://brainchip.com/brainchip-showcases-compelling- benchmarks-and-recommends-better-metrics-for-ai- devices-at-the-edge/

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 7d81edea-3b43-4c5a-aed1-25804931d03a · outbound

This paper cites You Only Look Once: Unified, Real-Time Object Detection.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing You Only Look Once: Unified, Real-Time Object Detection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 21929a63-8e09-4643-9b9b-4862a0b92c88 · outbound

This paper cites Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 474d060a-5957-450a-9cc3-f7d490a65190 · outbound

This paper cites Lapicque’s introduction of the integrate- and-fire model neuron (1907),.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Lapicque’s introduction of the integrate- and-fire model neuron (1907),

Reference 13

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Observation aef461f8-a52a-4992-80d2-be36216e4bf9 · outbound

This paper cites A Review of the Integrate-and-fire Neuron Model: I. Homogeneous Synaptic Input,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing A Review of the Integrate-and-fire Neuron Model: I. Homogeneous Synaptic Input,

Reference 14

Resolution: verified exact; doi, observed 2026-07-11T11:27:58.105991Z

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 2ea9ef9e-3b2b-4ab2-ba66-4a979781e84f · outbound

This paper cites A multisynaptic spiking neuron for simultaneously encoding spatiotemporal dynamics,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing A multisynaptic spiking neuron for simultaneously encoding spatiotemporal dynamics,

Reference 15

Resolution: verified exact; doi, observed 2026-07-11T11:27:58.067293Z

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 65738d85-8aff-4945-9aed-3b304da33ed9 · outbound

This paper cites Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics,

Reference 16

Resolution: verified exact; doi, observed 2026-07-11T11:27:58.051598Z

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 ff358045-576b-4465-b966-9318926a5de3 · outbound

This paper cites Synaptic plasticity: taming the beast,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Synaptic plasticity: taming the beast,

Reference 17

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Source-reported events for the cited work

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Observation e1219d10-6889-4035-96b8-d27da125b1ac · outbound

This paper cites Spike Timing–Dependent Plasticity: A Hebbian Learning Rule,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Spike Timing–Dependent Plasticity: A Hebbian Learning Rule,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 4f3818ab-232c-4fb0-989c-024293c2825c · outbound

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Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

Source-reported events for the cited work

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Observation dba71834-e5a0-46c1-91dd-8e90781a6cac · outbound

This paper cites Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

Source-reported events for the cited work

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Observation 707c0df2-2084-4037-b903-522328d3911f · outbound

This paper cites The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 8453cbab-79cb-4b7e-b176-2ef05b2c0011 · outbound

This paper cites Training Deep Spiking Neural Networks Using Backpropagation,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Training Deep Spiking Neural Networks Using Backpropagation,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 2e060be2-6e94-4d99-8f52-e52cedab3abe · outbound

This paper cites Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing,

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-11T11:27:58.097058Z

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 b8881011-ef50-4ec1-a76c-9207f8de26b1 · outbound

This paper cites Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

Source-reported events for the cited work

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Observation 18972174-d7a9-4ad4-a9b0-486547ba928b · outbound

This paper cites Competitive Hebbian learning through spike-timing-dependent synaptic plasticity,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Competitive Hebbian learning through spike-timing-dependent synaptic plasticity,

Reference 25

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Source-reported events for the cited work

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Observation c372bf9a-711f-48aa-bf17-13ff8583ea8a · outbound

This paper cites STDP-based Unsupervised Feature Learning using Convolution- over-time in Spiking Neural Networks for Energy- Efficient Neuromorphic Computing,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing STDP-based Unsupervised Feature Learning using Convolution- over-time in Spiking Neural Networks for Energy- Efficient Neuromorphic Computing,

Reference 26

Resolution: verified exact; doi, observed 2026-07-11T11:27:58.025775Z

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 679b2d36-b516-45ac-8be4-bc6dedc6a6a1 · outbound

This paper cites On-Chip Unsupervised Learning Using STDP in a Spiking Neural Network,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing On-Chip Unsupervised Learning Using STDP in a Spiking Neural Network,

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-11T11:27:58.041825Z

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 080c50f3-53bd-4f0c-824c-2093e47c21dd · outbound

This paper cites An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks,

Reference 28

Resolution: verified exact; doi, observed 2026-07-11T11:27:58.110893Z

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 58d004f1-e3b3-4399-bf3d-63338c7aefcc · outbound

This paper cites Spatio- Temporal Backpropagation for Training High- Performance Spiking Neural Networks,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Spatio- Temporal Backpropagation for Training High- Performance Spiking Neural Networks,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

Source-reported events for the cited work

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Observation 38b98ebd-df4d-4dbe-baeb-75b0b5ef6525 · outbound

This paper cites Surrogate Gradient Learning in Spiking Neural Networks.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Surrogate Gradient Learning in Spiking Neural Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

Source-reported events for the cited work

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Observation f03fbcaa-4b74-4f4e-8a3c-a6116bbc4708 · outbound

This paper cites Backpropagation through time: what it does and how to do it,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Backpropagation through time: what it does and how to do it,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation f3ef01ce-d04d-405a-ac24-bcfe1150c910 · outbound

This paper cites Are we ready for autonomous driving? The KITTI vision benchmark suite,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Are we ready for autonomous driving? The KITTI vision benchmark suite,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 6ddddf5d-4c47-4ad0-849e-2ccb29c11058 · outbound

This paper cites BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation aa10ea11-f6e9-4607-b8ec-5923b39e18ca · outbound

This paper cites Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 3aef4bb9-577a-49ec-adc6-73323980c2ed · outbound

This paper cites HOTA: A Higher Order Metric for Evaluating Multi-object Tracking,.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing HOTA: A Higher Order Metric for Evaluating Multi-object Tracking,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 45597d0a-5e63-424f-a301-5abca618fc23 · outbound

This paper cites BoT-SORT: Robust Associations Multi-Pedestrian Tracking.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation cb0e4baf-3023-4a96-aa3f-58f6f7429797 · outbound

This paper cites YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Observation 9b2b5ed8-0979-458a-8c5e-20a8c775fef2 · outbound

This paper cites ByteTrack: Multi-Object Tracking by Associating Every Detection Box.

Efficient Perception in Automotive Detection and Tracking Using Neuromorphic Computing ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-11T11:26:33.422369Z

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Pith citing papers

No inbound Pith citation observations are available.