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Paper Citation Record · LEDGER

Edge Intelligence with Spiking Neural Networks

As of 19 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 2026-08-19T06:32:44.657259+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

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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

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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

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source=pdf_text observed=2026-08-06T16:13:24.569344Z digest=sha256:2abd5150111697507a3c5413d464914c2a4625749d3e47596a2e0d8f78b8e4f6

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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source=pdf_text observed=2026-08-06T16:13:27.026075Z digest=sha256:a2668316bd6002a9ad9c0aecf5e0eeb6d03a31aa946dce355845196a3778ce20

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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source=pdf_text observed=2026-08-06T16:13:28.432584Z digest=sha256:2c3fd7724e2994750feda2c13899d535f0b529fbe7175fe1d3352bf41d92ab8d

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

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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

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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

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source=pdf_text observed=2026-08-06T16:13:28.871365Z digest=sha256:118611f5ceabb06cb73ff8144062dd83e564deb3a8cb123aa525db77a794a523

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

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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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source=pdf_text observed=2026-08-06T16:13:29.112044Z digest=sha256:a278136a86200eaaeded27a4745b21f742f7845112527aa8b27c2a267d392d3f

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

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source=pdf_text observed=2026-08-06T16:13:29.262515Z digest=sha256:c5874d39afca166595de1b9e4bdab8698c4fa1bab6e77dffe8f5b1136ed0083a

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

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source=pdf_text observed=2026-08-06T16:13:29.395541Z digest=sha256:8e400bbcf129a0aacce8599ce4eae5c6f32161af3daadcb948806a9e0da8f3c5

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

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source=pdf_text observed=2026-08-06T16:13:29.497815Z digest=sha256:f162007240820c050d336c077276ffae97e0b2ae3d8cfe92943cb34e4613684c

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

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source=pdf_text observed=2026-08-06T16:13:29.611731Z digest=sha256:d2729078b9699d05f14f225bda64b55a1b83edc9e3539af01d7ea3909017b7a4

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

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source=pdf_text observed=2026-08-06T16:13:29.761105Z digest=sha256:d24545608d0f4af57fec10cef4c7313f377e37bca869b4a523ff6339c48a9f37

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

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source=pdf_text observed=2026-08-06T16:13:29.939731Z digest=sha256:8ad2a340aa68f1b1ad6ea711bf98d82986dc6584cb360e3276f4d59e1e9c4e70

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:13:30.065989Z digest=sha256:af8398f0e234956ef266bde028439c241491ab5d38b8c04f37278251c6419681

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:13:30.167382Z digest=sha256:00d8886f0f110c8e5a759222330ec870f755f9e88db16dee65131cb8822a6375

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

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source=pdf_text observed=2026-08-06T16:13:30.284610Z digest=sha256:11560b07cc73d2d08b5b1016582b3ffdff31a6bf148e024d1618f28e3577541c

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

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source=pdf_text observed=2026-08-06T16:13:30.425418Z digest=sha256:435d0f47a2abda77447c3db952e2f2c3e16f6883d06ee046029cbc8f6ade908b

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

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source=pdf_text observed=2026-08-06T16:13:30.486448Z digest=sha256:37f16e63efbc2f275775680da4aadd8d51148731ffdd03d0163fae16f1080cfc

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

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source=pdf_text observed=2026-08-06T16:13:30.596588Z digest=sha256:1322934bcaedc4d606547681cf3f75205fe1ab54692d946418772ce7e4e9f414

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

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source=pdf_text observed=2026-08-06T16:13:30.714397Z digest=sha256:8092c1c986227f00f7b30da10cbfa93a16f7f033632de9e3db564e2116d46934

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

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source=pdf_text observed=2026-08-06T16:13:30.806740Z digest=sha256:60e15f3f9e82a73605f89a2af3f131532e8c3c678362dd4294f4ac37048c3aa7

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:13:30.908409Z digest=sha256:be4fdb881a50c2edd145cd164d02dd0cb219f30e9d5c4394ac4e12015c152f4a

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:13:31.086074Z digest=sha256:e270c6bf6de03284d7b000356cd5d8392d17952502f99bc053a7a454c27c9786

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

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source=pdf_text observed=2026-08-06T16:13:31.184414Z digest=sha256:f202e6e7e1cab4a2c0f58fa4e10212bca1678d09375265c6bd2b69f26020cd14

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:13:31.273832Z digest=sha256:c5e37b0bfee9e090277f555f73eece0904319b6652ecd8a1d4e15010cd8ef70c

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

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source=pdf_text observed=2026-08-06T16:13:31.417781Z digest=sha256:65d118955788daf2e2805cc6ec73fb6172eb0440018dfec8d383be07d6183129

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

This paper cites Gpu computing,.

Edge Intelligence with Spiking Neural Networks Gpu computing,

Reference 61

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source=pdf_text observed=2026-08-06T16:13:31.551485Z digest=sha256:971e9445357c83ba6536cce265411a075c41bb1ed5afeeadf44511b5580be1dd

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

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source=pdf_text observed=2026-08-06T16:13:31.677498Z digest=sha256:9312a07167a3e90222aff4f09feb4fc8afe3eb6f564cc2dbc806ee90f88b4e98

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

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source=pdf_text observed=2026-08-06T16:13:31.763786Z digest=sha256:1eb6124fd0c2319a97e3488a453e88fafb6e9443a634d65cda5ee1183285c145

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

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source=pdf_text observed=2026-08-06T16:13:31.874310Z digest=sha256:560d4cbfb3808ba996e4c76be772b6c8a9c6eee440dc18dda0a1b74167942e2b

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

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source=pdf_text observed=2026-08-06T16:13:31.999397Z digest=sha256:848cbf32d8729aa8267918d56140b58e8e5691b925152983d8652a0dfb4181b9

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:13:32.112427Z digest=sha256:b29d87581859003ef30b590a4a9559516c15ee5320eb18ce161d6802363464c2

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

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source=pdf_text observed=2026-08-06T16:13:32.189046Z digest=sha256:848d1f431b1ed5bd45ebffbe8e3d273d5110119e58783241e2a806aa6649696e

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:13:32.275162Z digest=sha256:7e1659389d65b598bd47210d1c2f4a3f898929b21851bbbd6ccbe01fe94055ff

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

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source=pdf_text observed=2026-08-06T16:13:32.418658Z digest=sha256:0274148cf75372df3403049c46cf64142116d5216b2bda32ee7170c97b23d395

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

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source=pdf_text observed=2026-08-06T16:13:32.531683Z digest=sha256:521ae73e77204ae813b421ab784a0a680b84782c46ed15ef45433e7cd1989c95

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

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source=pdf_text observed=2026-08-06T16:13:32.641255Z digest=sha256:a1d74d70718f4e7f2fdc10f5a3989fef417b2d32a98105e47a970b5bb3d50fc2

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

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source=pdf_text observed=2026-08-06T16:13:32.762191Z digest=sha256:0a5c8f18357bf00f5a8669a29c46efc03d308bee88d055cca88ba21eb34102d7

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

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source=pdf_text observed=2026-08-06T16:13:32.852970Z digest=sha256:cd5cee062aa446f2fc1d11bb666057d1d3194fa7b9423d08441bb83b95d7cb68

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

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source=pdf_text observed=2026-08-06T16:13:32.958345Z digest=sha256:9a64c5e5eb97e32ee8aae76c3ae2ba7dfa6fc344d1d559dd32a46662a00f6b8a

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:13:33.033635Z digest=sha256:c2e8abf4c1e3cbe4fd49d13f212fbdaee3d94c832a648a932eb4db5a8e2cbe31

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:13:33.069219Z digest=sha256:f70b3c22238ab652ed768b7f0153f8cd15b96dd73709940fe8a8273501e5a271

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:13:33.149355Z digest=sha256:6cf8357a259f5ed7b63f1fb00a8a4227749cbd672d2b50a29ccfbf105d0a4273

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

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source=pdf_text observed=2026-08-06T16:13:33.271072Z digest=sha256:a13aaf434883377addf83bd52b8bfc699d6af690313463da9803bb9b55e6c3a3

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

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source=pdf_text observed=2026-08-06T16:13:33.383798Z digest=sha256:52833c58e5d69279624b5ae09bcda048feb9663b1f464345938fdd518e9e71e3

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

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source=pdf_text observed=2026-08-06T16:13:33.465694Z digest=sha256:4580705b2a3cf697f11f41e9054bc4914b444942c45cf0d1a0dc9eff9e538f57

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T16:13:33.543190Z digest=sha256:f9c144ef6b9cd4829744d483381cdd9856703d0b2618f340880caa8cb051e9a3

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

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source=pdf_text observed=2026-08-06T16:13:33.631957Z digest=sha256:bcbe73c7a9b4f7797084fa96bfb113eaa4e62ac4c80d3f1e6ca3a9262f0f6a35

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

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source=pdf_text observed=2026-08-06T16:13:33.701140Z digest=sha256:dbf00b185e576c8ba17254b78ebf28960f0fb8ac773bb4a2e0c9085a5053b1b2

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:13:33.802267Z digest=sha256:54e6ad405c7b26b31b503d7c7a1fe38dcfa48535f3cb96f0ed4448e04ee0c2a1

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:13:33.933039Z digest=sha256:812dd2d8416ea2c473aecdae816d6288ffb2fc407ae276a309e457b12e7a33e9

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:13:34.027800Z digest=sha256:f2c8fc8a99028d9e71834799d48cf4c4aa59992ec29cf7840187bd9188b42331

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:13:34.163618Z digest=sha256:bcd861bd8a5580778eb1e6353df6f1571b02299ae72fbc990c5a88ba6c4c53e5

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:13:34.314882Z digest=sha256:f6f0f0fe9d0cc5ada6e17da47a8347083244dcc7480673694f7f8631e459d729

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:13:34.393350Z digest=sha256:5fe53c907b7033d7d946963121fd113fa5cb6a29c3f5b89f33f3b0b6ec8f0d9c

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
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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T16:13:34.461598Z digest=sha256:0c83e23c97a6e22c0abc359cf84e8ee4d5a93e60c01f9bf77e5906abe475c125

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

This paper cites Deep learning,.

Edge Intelligence with Spiking Neural Networks Deep learning,

Reference 91

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:13:34.544607Z digest=sha256:561437556ed13ab30597bb905852d65bf2ae0d1e27e3a902850cf9cd0487e0c0

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

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source=pdf_text observed=2026-08-06T16:13:34.645727Z digest=sha256:8f6e066e3e0eb0d72b149461b1bd365c138db04455215df666a1d2116e5523de

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T16:13:34.764575Z digest=sha256:d548fe1349b43fe8db781dfeaca606785b4fc18a2342591a2778ae87b881046b

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

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source=pdf_text observed=2026-08-06T16:13:34.879391Z digest=sha256:f12e41abdccb52c4564454c18ae80e8c1f95cd5ca046bb63444a5a8474a1d316

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

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source=pdf_text observed=2026-08-06T16:13:34.925163Z digest=sha256:497cec74d2ad95442a0f19e09129262178628f79d9313798668bb751c507be00

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

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source=pdf_text observed=2026-08-06T16:13:35.062261Z digest=sha256:b090571ea44f9222a44c432a0c595d67c7f3c1f312e143d9474a91ebcf54716e

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

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source=pdf_text observed=2026-08-06T16:13:35.246967Z digest=sha256:17a75c28b244edfbb0fe8e68d50744ad3ab7131a394a737841e4c4d633a80c12

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

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source=pdf_text observed=2026-08-06T16:13:35.320518Z digest=sha256:ec53a62b17098ecb4efb1858558716b66cca981268a63ee6bb7562f86ef50cc6

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

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source=pdf_text observed=2026-08-06T16:13:35.401502Z digest=sha256:5e9e062943d60e411f9158be26aaeeef256456ef15ee38cb44d8c9450cc9791b

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

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source=pdf_text observed=2026-08-06T16:13:35.512600Z digest=sha256:6281d308e991848a52c16fa369a3bc7d06da6705c41c27bc8090e41b8c24513b

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T19:16:51.787216Z digest=sha256:148a0c888d254177f8bc7f7ce8117c71b97f9a48c6c01ffa8c44616a0df1253e

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T19:09:25.570289Z digest=sha256:1ab6153a988ad828ad81bb08e111aac56cfdb4f8b00ccf8ba64ef20b4c261f48

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T04:14:41.207068Z digest=sha256:7907fdece303076d9020979cd4734d7983a3f4057357b161d528005b42503ba9

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:07:46.423300Z digest=sha256:998301d70fb7d8ffce429b599c3e435da9ce44e5592a5fe2df1d7d4f6eb3ee80