Paper Citation Record · LEDGER

Edge Intelligence with Spiking Neural Networks

As of 8 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 4 inbound Pith citation observations for arXiv:2507.14069.

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

pith.paper-citation-record.v1
2507.14069 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:13:35.512600Z

measured 104 of 104 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 2026-07-12T04:14:41.207068Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T19:12:43.740686Z

Reference resolution

100 of 300 outbound references displayed

verified exact2
verified fuzzy0
unresolved98
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ca2c712f-e26c-4312-9d7a-fb3d50291f51 · outbound

This paper cites Large language model based multi-agents: a survey of progress and challenges,.

Edge Intelligence with Spiking Neural Networks Large language model based multi-agents: a survey of progress and challenges,

Reference 1

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Observation 627ee9ae-0e8c-47c1-8968-035e1ca941d4 · outbound

This paper cites Object detection in 20 years: A survey,.

Edge Intelligence with Spiking Neural Networks Object detection in 20 years: A survey,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:24.315031Z

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Observation 0bf086b4-fd58-47eb-91ca-8899038fb185 · outbound

This paper cites Benchmarking news recom- mendation in the era of green ai,.

Edge Intelligence with Spiking Neural Networks Benchmarking news recom- mendation in the era of green ai,

Reference 3

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Observation ffc49a4f-06f5-428f-ac66-35adeee288bb · outbound

This paper cites Foundation models for time series analysis: A tutorial and survey,.

Edge Intelligence with Spiking Neural Networks Foundation models for time series analysis: A tutorial and survey,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:24.474660Z

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Observation c6bf1ef6-b7d6-4a02-a0bc-c2cd180ec0f7 · outbound

This paper cites Edge computing with artificial intelligence: A machine learning perspective,.

Edge Intelligence with Spiking Neural Networks Edge computing with artificial intelligence: A machine learning perspective,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:24.569344Z

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Observation 26f8b2e2-e1e2-4e73-aa0b-d79451696181 · outbound

This paper cites Deep learning for iot big data and streaming analytics: A survey,.

Edge Intelligence with Spiking Neural Networks Deep learning for iot big data and streaming analytics: A survey,

Reference 6

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Observation 3bbf465f-75d4-4acd-81a2-1747d9ae1324 · outbound

This paper cites The eu general data protection regulation (gdpr),.

Edge Intelligence with Spiking Neural Networks The eu general data protection regulation (gdpr),

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:24.790182Z

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Observation 425aca06-ec9b-4dfa-8998-074eaf2f9ca0 · outbound

This paper cites Edge intelligence: The confluence of edge computing and artificial intelligence,.

Edge Intelligence with Spiking Neural Networks Edge intelligence: The confluence of edge computing and artificial intelligence,

Reference 8

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Observation 4dc35807-1384-42de-9df9-afd0c13338b6 · outbound

This paper cites Edge intelligence: Empowering intelligence to the edge of network,.

Edge Intelligence with Spiking Neural Networks Edge intelligence: Empowering intelligence to the edge of network,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:25.062291Z

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Observation 8a62832a-65ff-4ecf-a418-a4ba22b97709 · outbound

This paper cites Bottom-up and top-down ap- proaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence,.

Edge Intelligence with Spiking Neural Networks Bottom-up and top-down ap- proaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:25.228163Z

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Observation c33a2f46-54ce-4cf7-a326-1cb3277780b2 · outbound

This paper cites Brain-inspired computing: A systematic survey and future trends,.

Edge Intelligence with Spiking Neural Networks Brain-inspired computing: A systematic survey and future trends,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:25.359879Z

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Observation 19c21e15-3674-4212-bdd8-7b541fe82e19 · outbound

This paper cites Opportunities for neuromorphic computing algorithms and applications,.

Edge Intelligence with Spiking Neural Networks Opportunities for neuromorphic computing algorithms and applications,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:25.495369Z

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Observation 97ed39b2-1a33-4c9f-9656-9b2fabe940a8 · outbound

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

Edge Intelligence with Spiking Neural Networks Networks of spiking neurons: the third generation of neural network models,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:25.613247Z

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Observation 74e32b51-50cf-4934-9377-78b18c03e216 · outbound

This paper cites Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip,.

Edge Intelligence with Spiking Neural Networks Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip,

Reference 14

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Observation beca8b4a-8795-441b-a41c-2988cbef70f4 · outbound

This paper cites ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks.

Edge Intelligence with Spiking Neural Networks ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:25.897340Z

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Observation 200b8cda-31e6-4f65-a84b-3e58dd32134c · outbound

This paper cites Gerstner, W.

Edge Intelligence with Spiking Neural Networks Gerstner, W

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:26.035911Z

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Observation 0a165cf2-8d70-41dd-b550-e13bffb4861b · outbound

This paper cites Stdp-based pruning of connections and weight quantization in spiking neural networks for energy-efficient recognition,.

Edge Intelligence with Spiking Neural Networks Stdp-based pruning of connections and weight quantization in spiking neural networks for energy-efficient recognition,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:26.203614Z

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Observation 90bd170d-5932-4008-be8d-0cfedd9e69a6 · outbound

This paper cites Bridging the gap between ANNs and SNNs by calibrating offset spikes,.

Edge Intelligence with Spiking Neural Networks Bridging the gap between ANNs and SNNs by calibrating offset spikes,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:26.353313Z

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Observation a44adf1d-1697-4e00-ad97-f501549c5c8c · outbound

This paper cites Direct training for spiking neural networks: Faster, larger, better,.

Edge Intelligence with Spiking Neural Networks Direct training for spiking neural networks: Faster, larger, better,

Reference 19

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Observation 17aac9f3-8fcc-4a74-a720-2159d10b6526 · outbound

This paper cites Lite-snn: design- ing lightweight and efficient spiking neural network through spatial- temporal compressive network search and joint optimization,.

Edge Intelligence with Spiking Neural Networks Lite-snn: design- ing lightweight and efficient spiking neural network through spatial- temporal compressive network search and joint optimization,

Reference 20

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Observation 00f086cf-b144-4314-be31-ddbbb18d2855 · outbound

This paper cites Autosnn: Towards energy-efficient spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Autosnn: Towards energy-efficient spiking neural networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:26.774799Z

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Observation d980f1a2-5a6d-43f9-8a48-9953e0b84ddc · outbound

This paper cites Towards efficient deep spiking neural networks construction with spiking activity based pruning,.

Edge Intelligence with Spiking Neural Networks Towards efficient deep spiking neural networks construction with spiking activity based pruning,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:26.914770Z

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Observation 9426ecb3-ff1a-43cb-8951-1097262195b9 · outbound

This paper cites Qp-snn: Quantized and pruned spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Qp-snn: Quantized and pruned spiking neural networks,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:27.026075Z

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Observation 8582568e-9cbc-4f45-8063-9bb412ed1b16 · outbound

This paper cites Quantized spike-driven transformer,.

Edge Intelligence with Spiking Neural Networks Quantized spike-driven transformer,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:27.130675Z

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Observation 786a9697-a6c9-49c7-a900-c94dba95a9d7 · outbound

This paper cites Alade-snn: Adaptive logit alignment in dynamically expandable spiking neural networks for class incremental learning,.

Edge Intelligence with Spiking Neural Networks Alade-snn: Adaptive logit alignment in dynamically expandable spiking neural networks for class incremental learning,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:27.243073Z

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Observation 132f434e-827d-4b35-bf4c-a771434fd268 · outbound

This paper cites Enhancing training of spiking neural network with stochastic latency,.

Edge Intelligence with Spiking Neural Networks Enhancing training of spiking neural network with stochastic latency,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:27.380180Z

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Observation 2722e0ef-3726-4f2a-9592-836e284e5631 · outbound

This paper cites Asteroid: Resource- efficient hybrid pipeline parallelism for collaborative dnn training on heterogeneous edge devices,.

Edge Intelligence with Spiking Neural Networks Asteroid: Resource- efficient hybrid pipeline parallelism for collaborative dnn training on heterogeneous edge devices,

Reference 27

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Observation b8b499c4-3eaf-43de-86c4-f80277d5b0a0 · outbound

This paper cites Federated learning with spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Federated learning with spiking neural networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:27.616433Z

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Observation b6475fb3-3e60-45d2-81bf-e9a8934693a3 · outbound

This paper cites Privatesnn: privacy-preserving spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Privatesnn: privacy-preserving spiking neural networks,

Reference 29

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Observation 646d15f8-01fc-49c0-ab00-b5f85e38a731 · outbound

This paper cites Dif- ferentially private spiking variational autoencoder,.

Edge Intelligence with Spiking Neural Networks Dif- ferentially private spiking variational autoencoder,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:27.909663Z

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Observation 8b51ca67-ac0f-4fed-a080-3c3e67aad459 · outbound

This paper cites Recent advances in scalable energy-efficient and trustworthy spiking neural networks: from algorithms to technology,.

Edge Intelligence with Spiking Neural Networks Recent advances in scalable energy-efficient and trustworthy spiking neural networks: from algorithms to technology,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:28.017886Z

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Observation 5a20fa03-a617-4e1e-905f-f5e12b772302 · outbound

This paper cites Rate gradient approximation attack threats deep spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Rate gradient approximation attack threats deep spiking neural networks,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:28.097087Z

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Observation e94802b2-4cdf-4755-9fc7-5eeda4645250 · outbound

This paper cites Snn-rat: Robustness- enhanced spiking neural network through regularized adversarial train- ing,.

Edge Intelligence with Spiking Neural Networks Snn-rat: Robustness- enhanced spiking neural network through regularized adversarial train- ing,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:28.158295Z

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Observation 354ec70d-1177-4808-bf2a-b42021fa853e · outbound

This paper cites Toward robust spiking neural network against adversarial perturbation,.

Edge Intelligence with Spiking Neural Networks Toward robust spiking neural network against adversarial perturbation,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:28.294879Z

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Observation 40684a83-f4da-45ac-bbcb-0bf9e57c3ebb · outbound

This paper cites Exploring vulnerabilities in spiking neural networks: Direct adversarial attacks on raw event data,.

Edge Intelligence with Spiking Neural Networks Exploring vulnerabilities in spiking neural networks: Direct adversarial attacks on raw event data,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:28.432584Z

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Observation 8eeca9e7-778a-4dc3-ac85-9e1d9906f5f3 · outbound

This paper cites Ec-snn: Splitting deep spiking neural networks for edge devices,.

Edge Intelligence with Spiking Neural Networks Ec-snn: Splitting deep spiking neural networks for edge devices,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:28.570818Z

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Observation 397523d5-c8f8-4a44-9abe-6d170ce9877a · outbound

This paper cites Exploiting Label Skewness for Spiking Neural Networks in Federated Learning.

Edge Intelligence with Spiking Neural Networks Exploiting Label Skewness for Spiking Neural Networks in Federated Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:28.703060Z

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Observation 16f75ed3-05a0-4da4-96ac-f95bb22443a1 · outbound

This paper cites The neurobench framework for benchmarking neuromorphic computing algorithms and systems,.

Edge Intelligence with Spiking Neural Networks The neurobench framework for benchmarking neuromorphic computing algorithms and systems,

Reference 38

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Observation 1c25afaa-864b-4246-9972-c1e213d0f7db · outbound

This paper cites Spiking neural networks and their applications: A review,.

Edge Intelligence with Spiking Neural Networks Spiking neural networks and their applications: A review,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:28.871365Z

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Observation c7bd9c51-a571-46a1-818c-dbf6ede15bf6 · outbound

This paper cites Exploring neuromorphic computing based on spiking neural networks: Algorithms to hardware,.

Edge Intelligence with Spiking Neural Networks Exploring neuromorphic computing based on spiking neural networks: Algorithms to hardware,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:29.002660Z

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Observation ea27b8a7-0ac4-4e88-b00a-bcad1650a321 · outbound

This paper cites Neuromorphic computing at scale,.

Edge Intelligence with Spiking Neural Networks Neuromorphic computing at scale,

Reference 41

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Observation d8fd035d-e961-4ad2-8b1a-cde0a31ccbf5 · outbound

This paper cites Complex dynamic neurons improved spiking transformer network for efficient automatic speech recognition,.

Edge Intelligence with Spiking Neural Networks Complex dynamic neurons improved spiking transformer network for efficient automatic speech recognition,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:29.262515Z

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Observation 10f4800c-f816-4c35-bb91-3d5e02cc37d6 · outbound

This paper cites Temporal-wise attention spiking neural networks for event streams classification,.

Edge Intelligence with Spiking Neural Networks Temporal-wise attention spiking neural networks for event streams classification,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:29.395541Z

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Observation 7ae44362-8c50-4fe3-ab90-f1f80f905011 · outbound

This paper cites Deep directly-trained spiking neural networks for object detection,.

Edge Intelligence with Spiking Neural Networks Deep directly-trained spiking neural networks for object detection,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:29.497815Z

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Observation d131e395-0dfb-40e4-bca4-7645bb36cb0c · outbound

This paper cites Autonomous driving with spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Autonomous driving with spiking neural networks,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:29.611731Z

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Observation f936f0bd-10dd-4a88-86cc-a05b1c40b033 · outbound

This paper cites Spiking convolutional neural networks for text classification,.

Edge Intelligence with Spiking Neural Networks Spiking convolutional neural networks for text classification,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:29.761105Z

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Observation e99d5031-142d-4562-bd88-0b7e57f136f1 · outbound

This paper cites Temporal spiking neural networks with synaptic delay for graph reasoning,.

Edge Intelligence with Spiking Neural Networks Temporal spiking neural networks with synaptic delay for graph reasoning,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:29.939731Z

Source-reported events for the cited work

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Observation 1e187229-0571-4e8d-98e1-baeec887a58b · outbound

This paper cites Attention spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Attention spiking neural networks,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:30.065989Z

Source-reported events for the cited work

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Observation 2dc20eb2-4097-469b-8e8a-5cbb0d88bcc9 · outbound

This paper cites Spikingresformer: bridging resnet and vision transformer in spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Spikingresformer: bridging resnet and vision transformer in spiking neural networks,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:30.167382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22a83ab2-9208-4bb1-bb48-da728e2e72e2 · outbound

This paper cites Advancing spiking neural networks for sequential modeling with central pat- tern generators,.

Edge Intelligence with Spiking Neural Networks Advancing spiking neural networks for sequential modeling with central pat- tern generators,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:30.284610Z

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Observation 73d24602-8834-46ac-b7db-5efc127720c7 · outbound

This paper cites Training spiking neural networks using lessons from deep learning,.

Edge Intelligence with Spiking Neural Networks Training spiking neural networks using lessons from deep learning,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:30.425418Z

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Unavailable: canonical work link unavailable.

Observation edc9a26b-bb18-4acc-a116-fa848e610512 · outbound

This paper cites A survey of encoding techniques for signal processing in spiking neural networks,.

Edge Intelligence with Spiking Neural Networks A survey of encoding techniques for signal processing in spiking neural networks,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:30.486448Z

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Observation ecbd0e30-a4da-40af-a1d1-234cf91d7b37 · outbound

This paper cites Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence,.

Edge Intelligence with Spiking Neural Networks Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:30.596588Z

Source-reported events for the cited work

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Observation 5a5cc2f5-37cb-4a53-b5a7-23cad073a5cb · outbound

This paper cites What is the other 85 percent of v1 doing,.

Edge Intelligence with Spiking Neural Networks What is the other 85 percent of v1 doing,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:30.714397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 350d78b7-4797-4c8e-81ba-08674a340591 · outbound

This paper cites Learning by the dendritic prediction of somatic spiking,.

Edge Intelligence with Spiking Neural Networks Learning by the dendritic prediction of somatic spiking,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:30.806740Z

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Observation 0ed10f08-58c9-450f-b745-b73cd7cfc5e9 · outbound

This paper cites Dendritic cortical microcircuits approximate the backpropagation algorithm,.

Edge Intelligence with Spiking Neural Networks Dendritic cortical microcircuits approximate the backpropagation algorithm,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:30.908409Z

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Observation d21fcd3f-b186-4dc1-ba74-8f262833d962 · outbound

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

Edge Intelligence with Spiking Neural Networks A quantitative description of membrane current and its application to conduction and excitation in nerve,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:31.086074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7989efe8-ebb2-4da2-8bf7-20b9e8603843 · outbound

This paper cites Simple model of spiking neurons,.

Edge Intelligence with Spiking Neural Networks Simple model of spiking neurons,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:31.184414Z

Source-reported events for the cited work

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Observation d7b1adb5-d481-4a46-a499-7337e8098de9 · outbound

This paper cites Impact of active dendrites and structural plasticity on the memory capacity of neural tissue,.

Edge Intelligence with Spiking Neural Networks Impact of active dendrites and structural plasticity on the memory capacity of neural tissue,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:31.273832Z

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Observation c5f8c52b-d430-440f-a852-9628b5befadc · outbound

This paper cites Which model to use for cortical spiking neurons?.

Edge Intelligence with Spiking Neural Networks Which model to use for cortical spiking neurons?

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:31.417781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9663ec46-c06a-4011-b558-037b0a40d849 · outbound

This paper cites Gpu computing,.

Edge Intelligence with Spiking Neural Networks Gpu computing,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:31.551485Z

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Unavailable: canonical work link unavailable.

Observation 68b5583d-51bb-440a-aa05-17a67f80193a · outbound

This paper cites Learning delays in spiking neural networks using dilated convolutions with learnable spacings,.

Edge Intelligence with Spiking Neural Networks Learning delays in spiking neural networks using dilated convolutions with learnable spacings,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:31.677498Z

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Observation 6224cb3e-13a8-47b3-a74c-5a3e27f9fe30 · outbound

This paper cites Glif: A unified gated leaky integrate-and-fire neuron for spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Glif: A unified gated leaky integrate-and-fire neuron for spiking neural networks,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:31.763786Z

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Observation fd9f2897-3cac-443d-a2ea-9c2f0ff1d7b0 · outbound

This paper cites P-spikessm: Harnessing probabilistic spiking state space models for long-range dependency tasks,.

Edge Intelligence with Spiking Neural Networks P-spikessm: Harnessing probabilistic spiking state space models for long-range dependency tasks,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:31.874310Z

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Observation ff0fbee1-6720-4ecf-9a46-30e3ff8d0203 · outbound

This paper cites Deep spiking neural network with neural oscillation and spike-phase information,.

Edge Intelligence with Spiking Neural Networks Deep spiking neural network with neural oscillation and spike-phase information,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:31.999397Z

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Observation 5c71fc52-5d0b-4ed6-8b93-c11ca11e1a36 · outbound

This paper cites Ternary spike: Learning ternary spikes for spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Ternary spike: Learning ternary spikes for spiking neural networks,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:32.112427Z

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Observation 8817bc68-05b5-42b7-895d-09e269720b03 · outbound

This paper cites Vistream: Improving computation efficiency of visual streaming per- ception via law-of-charge-conservation inspired spiking neural net- work,.

Edge Intelligence with Spiking Neural Networks Vistream: Improving computation efficiency of visual streaming per- ception via law-of-charge-conservation inspired spiking neural net- work,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:32.189046Z

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Observation 90f195e4-eb99-4587-b263-db16ae7c14c1 · outbound

This paper cites Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons,.

Edge Intelligence with Spiking Neural Networks Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:32.275162Z

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Observation cc83e075-a45b-4fe8-b086-563d46a7a276 · outbound

This paper cites High-performance temporal reversible spiking neural networks withO(l) training memory andO(1) inference cost,.

Edge Intelligence with Spiking Neural Networks High-performance temporal reversible spiking neural networks withO(l) training memory andO(1) inference cost,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:32.418658Z

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Observation a22b43fc-64ff-47f3-a576-30a8abb003ea · outbound

This paper cites PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks.

Edge Intelligence with Spiking Neural Networks PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:32.531683Z

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Observation 7961b598-7803-448a-84bb-efca345db882 · outbound

This paper cites Parallel spiking neurons with high efficiency and ability to learn long-term dependencies,.

Edge Intelligence with Spiking Neural Networks Parallel spiking neurons with high efficiency and ability to learn long-term dependencies,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:32.641255Z

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Observation 235043d2-2100-4fe4-b38a-41bf8c621e37 · outbound

This paper cites A vision chip with complementary pathways for open-world sensing,.

Edge Intelligence with Spiking Neural Networks A vision chip with complementary pathways for open-world sensing,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:32.762191Z

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Unavailable: canonical work link unavailable.

Observation 14e08647-8557-4f8a-a2a6-df354b88782b · outbound

This paper cites Spike2former: Efficient spiking transformer for high-performance image segmenta- tion,.

Edge Intelligence with Spiking Neural Networks Spike2former: Efficient spiking transformer for high-performance image segmenta- tion,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:32.852970Z

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Observation e89249cc-0afd-49f2-be7b-68192f19d8f6 · outbound

This paper cites Incorporating learnable membrane time constant to enhance learning of spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Incorporating learnable membrane time constant to enhance learning of spiking neural networks,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:32.958345Z

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Observation 7c64e2d9-cf16-428b-b90e-949885b58c52 · outbound

This paper cites Reducing information loss for spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Reducing information loss for spiking neural networks,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:33.033635Z

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Observation 75f98d3a-27be-437c-a1be-50096b371403 · outbound

This paper cites Ltmd: learning improvement of spiking neural networks with learnable thresholding neurons and moderate dropout,.

Edge Intelligence with Spiking Neural Networks Ltmd: learning improvement of spiking neural networks with learnable thresholding neurons and moderate dropout,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:33.069219Z

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Observation 2e161367-8004-4099-8aae-d69e3ed59f28 · outbound

This paper cites Biologically inspired dynamic thresholds for spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Biologically inspired dynamic thresholds for spiking neural networks,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:33.149355Z

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Observation fc12d320-ddc4-4105-b8ea-b2d01793024d · outbound

This paper cites Temporal-coded spiking neural networks with dynamic firing thresh- old: Learning with event-driven backpropagation,.

Edge Intelligence with Spiking Neural Networks Temporal-coded spiking neural networks with dynamic firing thresh- old: Learning with event-driven backpropagation,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:33.271072Z

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Observation 4ab5ec1f-48a5-43de-ae1a-2b257324b3e0 · outbound

This paper cites Clif: Complementary leaky integrate-and-fire neuron for spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Clif: Complementary leaky integrate-and-fire neuron for spiking neural networks,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:33.383798Z

Source-reported events for the cited work

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Observation 6cf14679-065b-4011-9e4d-101b6514a1a7 · outbound

This paper cites Asynchronous bioplausible neuron for spiking neural networks for event-based vision,.

Edge Intelligence with Spiking Neural Networks Asynchronous bioplausible neuron for spiking neural networks for event-based vision,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:33.465694Z

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Observation 06346e41-4a3f-43a2-9dc0-181db04c1709 · outbound

This paper cites DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks.

Edge Intelligence with Spiking Neural Networks DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:14:02.245394Z

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 db50ae94-9f44-4a57-8dd8-c25a35b7cf06 · outbound

This paper cites Rethinking spiking neu- ral networks from an ensemble learning perspective,.

Edge Intelligence with Spiking Neural Networks Rethinking spiking neu- ral networks from an ensemble learning perspective,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:33.631957Z

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Observation 5d541eed-1757-4cd5-9df3-bfc431b78a7f · outbound

This paper cites Tc-lif: A two-compartment spiking neuron model for long-term sequential mod- elling,.

Edge Intelligence with Spiking Neural Networks Tc-lif: A two-compartment spiking neuron model for long-term sequential mod- elling,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:33.701140Z

Source-reported events for the cited work

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Observation 41e0121e-33a6-4050-898a-fed60370f10a · outbound

This paper cites Spiking-leaf: A learnable auditory front-end for spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Spiking-leaf: A learnable auditory front-end for spiking neural networks,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:33.802267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4af21358-6ea5-4c74-9ede-895884fba113 · outbound

This paper cites A progres- sive training framework for spiking neural networks with learnable multi-hierarchical model,.

Edge Intelligence with Spiking Neural Networks A progres- sive training framework for spiking neural networks with learnable multi-hierarchical model,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:33.933039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee19be71-cf3e-40d5-b3d3-a6c72f42f3cf · outbound

This paper cites Autaptic synaptic circuit enhances spatio-temporal predictive learning of spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Autaptic synaptic circuit enhances spatio-temporal predictive learning of spiking neural networks,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:34.027800Z

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Observation 5be9b229-db97-4799-b9ba-a32894e3dcbb · outbound

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

Edge Intelligence with Spiking Neural Networks Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:34.163618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3efcd53a-b520-4677-8599-9f3c349c4b97 · outbound

This paper cites TS-LIF: A tem- poral segment spiking neuron network for time series forecasting,.

Edge Intelligence with Spiking Neural Networks TS-LIF: A tem- poral segment spiking neuron network for time series forecasting,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:34.314882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e697bb1-38a0-42f5-b781-6ab34e220752 · outbound

This paper cites Enhancing robustness of spiking neural networks through retina-like coding and memory-based neurons,.

Edge Intelligence with Spiking Neural Networks Enhancing robustness of spiking neural networks through retina-like coding and memory-based neurons,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:34.393350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73a8db05-9c60-498c-bf26-e321f59b8ec3 · outbound

This paper cites KLIF: An optimized spiking neuron unit for tuning surrogate gradient slope and membrane potential.

Edge Intelligence with Spiking Neural Networks KLIF: An optimized spiking neuron unit for tuning surrogate gradient slope and membrane potential

Reference 90

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:14:01.947733Z

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 6c4423c0-3b18-4bd0-9657-688242cdf8ba · outbound

This paper cites Deep learning,.

Edge Intelligence with Spiking Neural Networks Deep learning,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:34.544607Z

Source-reported events for the cited work

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Observation 8266b712-3d49-4a91-a10c-8d7371b57911 · outbound

This paper cites Deep residual learning in spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Deep residual learning in spiking neural networks,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:34.645727Z

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Observation 560fc9d7-bdc9-4597-9b50-a4c7562ab3d5 · outbound

This paper cites Spiking pointnet: Spiking neural networks for point clouds,.

Edge Intelligence with Spiking Neural Networks Spiking pointnet: Spiking neural networks for point clouds,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:34.764575Z

Source-reported events for the cited work

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Observation 07eafd9c-6ef6-44e6-bfaf-5f437072387b · outbound

This paper cites Gated attention coding for training high-performance and efficient spiking neural networks,.

Edge Intelligence with Spiking Neural Networks Gated attention coding for training high-performance and efficient spiking neural networks,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:34.879391Z

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Observation a42c0863-2b8c-4fb6-bd37-44291a52634c · outbound

This paper cites Advancing spiking neural networks toward deep residual learning,.

Edge Intelligence with Spiking Neural Networks Advancing spiking neural networks toward deep residual learning,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:34.925163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fedfc608-a72a-4821-a036-ab596a98f883 · outbound

This paper cites Sfod: Spiking fusion object detector,.

Edge Intelligence with Spiking Neural Networks Sfod: Spiking fusion object detector,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:35.062261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95f1e200-d65a-4fcf-bbfc-be8c3fee8fa2 · outbound

This paper cites Integer-valued training and spike-driven inference spiking neural network for high- performance and energy-efficient object detection,.

Edge Intelligence with Spiking Neural Networks Integer-valued training and spike-driven inference spiking neural network for high- performance and energy-efficient object detection,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:35.246967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed931f5c-4a10-4ca4-b9af-db8d5f5ea9f0 · outbound

This paper cites Brain-inspired spiking neural networks for energy-efficient object detection,.

Edge Intelligence with Spiking Neural Networks Brain-inspired spiking neural networks for energy-efficient object detection,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:35.320518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b687287-dbfa-41ab-a0ba-40485bf04d40 · outbound

This paper cites A Spiking Neural Network for Image Segmentation.

Edge Intelligence with Spiking Neural Networks A Spiking Neural Network for Image Segmentation

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:35.401502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9989a47-0e73-4a87-8a85-e1ea54111b17 · outbound

This paper cites Segmentation and edge detection based on spiking neural network model,.

Edge Intelligence with Spiking Neural Networks Segmentation and edge detection based on spiking neural network model,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-06T16:13:35.512600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b41eb507-e598-40b9-9ecd-25b21cb1bb2f · inbound

ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization cites this paper.

ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization Edge Intelligence with Spiking Neural Networks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:55:31.985414Z

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 b60a6721-6eac-4746-873e-6bb809883ef2 · inbound

Evaluating Container Orchestration for Neuromorphic Workloads in Virtual Edge Environments cites this paper.

Evaluating Container Orchestration for Neuromorphic Workloads in Virtual Edge Environments Edge Intelligence with Spiking Neural Networks

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-19T19:12:43.742832Z

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 b56a1fe0-dc37-453f-a8ec-3549360c8f82 · inbound

AIGOR: A Modular, Event-Driven Neuromorphic Architecture for Configurable SNN Inference cites this paper.

AIGOR: A Modular, Event-Driven Neuromorphic Architecture for Configurable SNN Inference Edge Intelligence with Spiking Neural Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T04:14:41.207068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1640180e-2d58-4c0f-badc-260cddf877e7 · inbound

Online Data Reduction with Spiking Neural Networks: A Temporal-Coincidence Encoder and Distributed SNN for the ePIC dRICH Detector cites this paper.

Online Data Reduction with Spiking Neural Networks: A Temporal-Coincidence Encoder and Distributed SNN for the ePIC dRICH Detector Edge Intelligence with Spiking Neural Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T02:07:46.423300Z

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