SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning | Paper Citation Record

Observation 5c7eab1f-0a52-417b-a132-fe2bb2f6f666 · outbound

This paper cites Spiking neural networks hardware implementations and challenges: A survey.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Spiking neural networks hardware implementations and challenges: A survey

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:00:00.177215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8120bea2-0290-4a44-85d5-15e59f7e1fd2 · outbound

This paper cites Differentiable hierarchical and surrogate gradient search for spiking neural networks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Differentiable hierarchical and surrogate gradient search for spiking neural networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:00:00.055754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62cf9a60-1653-4110-92ea-9e27868f0451 · outbound

This paper cites Pruning of deep spiking neural networks through gradient rewiring.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Pruning of deep spiking neural networks through gradient rewiring

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:59.801174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b933431d-1414-4a37-80f7-61f15de6c530 · outbound

This paper cites State tran- sition of dendritic spines improves learning of sparse spiking neural networks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning State tran- sition of dendritic spines improves learning of sparse spiking neural networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:59.632191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e726e5c7-7782-454a-a4a9-ca63be87175c · outbound

This paper cites A Unified Framework for Soft Threshold Pruning.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning A Unified Framework for Soft Threshold Pruning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:59:48.905676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 78a418f2-9046-49e1-b0e5-2c04645c99fd · outbound

This paper cites Spatio-temporal pruning and quantization for low-latency spiking neural networks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Spatio-temporal pruning and quantization for low-latency spiking neural networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:59.489638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e431b43b-f1ce-4929-84fc-95204499d3e0 · outbound

This paper cites Loihi: A neuromorphic manycore processor with on-chip learning.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Loihi: A neuromorphic manycore processor with on-chip learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:41.126667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbbb5e4f-c5b2-497f-a90a-8de1bd6773bc · outbound

This paper cites Imagenet: A large- scale hierarchical image database.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Imagenet: A large- scale hierarchical image database

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:41.236682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ce725f6-36a1-4173-acd6-49ce53c6665b · outbound

This paper cites Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:41.348884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7cfd2d1-f966-45df-8d3b-67dca8fa0437 · outbound

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

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Ec-snn: splitting deep spiking neural networks for edge devices

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:59.286455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d255538b-e28a-4f8e-813a-e33b0e0acd83 · outbound

This paper cites Deep residual learning in spiking neural networks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Deep residual learning in spiking neural networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:58.953833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb07b622-9c37-4d97-a1e1-40688fed8031 · outbound

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

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Spikingjelly: An open-source machine learning infrastructure platform for spike-based intelligence

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:41.829784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e536f2b-0cde-4d42-a1ad-d39d1a7c32e2 · outbound

This paper cites Large-scale neuromorphic computing systems.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Large-scale neuromorphic computing systems

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:58.588598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7ca1b261-2948-48ab-a078-e1e79fe4ff14 · outbound

This paper cites Jointly training and pruning cnns via learnable agent guidance and alignment.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Jointly training and pruning cnns via learnable agent guidance and alignment

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:58.331773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 997ebd42-cc45-4055-af38-49769e42f157 · outbound

This paper cites A low effort approach to structured cnn design using pca.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning A low effort approach to structured cnn design using pca

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:42.175716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf83ab6d-5de2-432b-9b45-40b7fa9aea3c · outbound

This paper cites A survey on efficient convolutional neural networks and hardware acceleration.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning A survey on efficient convolutional neural networks and hardware acceleration

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:58.061369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c6fdafb3-4ac9-4d42-b613-ff2b3d7b21c0 · outbound

This paper cites Model compression using progressive channel pruning.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Model compression using progressive channel pruning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:57.668175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 832a954c-cf88-4681-8300-131ebcfd63c1 · outbound

This paper cites Im-loss: information maximization loss for spiking neural networks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Im-loss: information maximization loss for spiking neural networks

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:57.382167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e78f94a3-bf2f-4a49-a54a-333387a97f9b · outbound

This paper cites Rmp-loss: Regularizing membrane potential distribution for spiking neural networks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Rmp-loss: Regularizing membrane potential distribution for spiking neural networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:57.126339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9b917aac-82cd-44ff-8413-d1c446e494f8 · outbound

This paper cites Adaptive sparse structure development with pruning and regeneration for spiking neural networks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Adaptive sparse structure development with pruning and regeneration for spiking neural networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:56.764384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c758e88e-f1af-4eb8-b742-7bcad6ce404a · outbound

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

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning A progressive training framework for spiking neural networks with learnable multi-hierarchical model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:56.454609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a729aa5c-db64-41db-a4e5-1b1d12ed0c84 · outbound

This paper cites Deep residual learning for image recognition.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Deep residual learning for image recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:56.112730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0750170b-baa6-4478-b53e-c9c8da943d05 · outbound

This paper cites Structured pruning for deep convolutional neural networks: A survey.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Structured pruning for deep convolutional neural networks: A survey

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:42.776240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a25f3f08-1255-43e5-b296-264ebda4d1fd · outbound

This paper cites Amc: Automl for model compression and acceleration on mobile devices.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Amc: Automl for model compression and acceleration on mobile devices

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:55.717387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 703d7f6e-1001-4ab3-82e2-e815abd51aaf · outbound

This paper cites 1.1 computing’s energy problem (and what we can do about it).

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning 1.1 computing’s energy problem (and what we can do about it)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:55.329100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e6f841ca-daac-4089-8bc5-206b46fe1d2a · outbound

This paper cites Spiking deep residual networks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Spiking deep residual networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:55.077516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 72a36404-4718-401c-901a-3e412d2674ca · outbound

This paper cites CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:43.166652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61962c35-2438-4881-b865-3869f6ad0284 · outbound

This paper cites Neural architecture search for spiking neural networks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Neural architecture search for spiking neural networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:54.792283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb33e76d-8e9e-4066-97ca-92bef0dcd94f · outbound

This paper cites Learning multiple layers of features from tiny images.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Learning multiple layers of features from tiny images

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:43.302306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47cbd3d6-693f-48bf-a855-fa12c38c4d94 · outbound

This paper cites Tiny imagenet visual recognition challenge.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Tiny imagenet visual recognition challenge

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:43.379058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb9e74a5-911b-41c9-ad90-29d462b85c6a · outbound

This paper cites Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:59:48.555862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2681b180-a56d-41e6-a2c5-c68258f48408 · outbound

This paper cites Pruning Filters for Efficient ConvNets.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Pruning Filters for Efficient ConvNets

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:43.606448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9501aede-ec43-40f6-bb72-cf73caea67cd · outbound

This paper cites Cifar10-dvs: an event- stream dataset for object classification.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Cifar10-dvs: an event- stream dataset for object classification

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:43.672462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2077b667-c558-40ba-949e-a624881ce805 · outbound

This paper cites Efficient structure slimming for spiking neural networks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Efficient structure slimming for spiking neural networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:54.360142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef4c3dbb-d04b-4409-b7fe-7929692c5863 · outbound

This paper cites Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:59:48.305051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e187ca35-0ea8-4bc5-849f-3e5c04f4bcdc · outbound

This paper cites Continuous control with deep reinforcement learning.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Continuous control with deep reinforcement learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:43.861154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa1e06d2-7703-4675-b3f8-63e147fdd5b3 · outbound

This paper cites DARTS: Differentiable Architecture Search.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning DARTS: Differentiable Architecture Search

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:43.934393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42264e34-0f32-406e-ae4e-5eb083ba124b · outbound

This paper cites LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:44.011784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 945ffacc-a87c-4c55-84ec-5623c6c1e897 · outbound

This paper cites A survey on evolutionary neural architecture search.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning A survey on evolutionary neural architecture search

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:53.971361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be9f8dde-928c-4d9f-b37f-45c60f1c3aa2 · outbound

This paper cites Learning efficient convolutional networks through network slimming.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Learning efficient convolutional networks through network slimming

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:44.277564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36884f19-b701-4c3e-9846-8936a698fc29 · outbound

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

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Integer-valued training and spike-driven inference spiking neural network for high-performance and energy-efficient object detection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:53.882841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 90cfb317-b047-46eb-b2fe-be592b281bbc · outbound

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

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Autosnn: Towards energy-efficient spiking neural networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:53.761627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94744b28-205b-4ba6-8ec7-98eddbe40de0 · outbound

This paper cites Towards artificial general intelligence with hybrid tianjic chip architecture.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Towards artificial general intelligence with hybrid tianjic chip architecture

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:44.687592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 763877d3-5c19-4a11-95eb-6b1a3bff7002 · outbound

This paper cites Efficient 3D Recognition with Event-driven Spike Sparse Convolution.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Efficient 3D Recognition with Event-driven Spike Sparse Convolution

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:59:48.153817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7766b914-84f1-4e79-832c-2e489daffd8e · outbound

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

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Gated attention coding for training high-performance and efficient spiking neural networks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:53.626984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe8acbaa-f796-4a86-936c-c9e131de6d3e · outbound

This paper cites On the distribution of the correlation coefficient in small samples.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning On the distribution of the correlation coefficient in small samples

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:53.514171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d4fbbd64-88c2-4877-864b-5eb13ea099ff · outbound

This paper cites Wang, Chiao Liu, and Kaushik Roy.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Wang, Chiao Liu, and Kaushik Roy

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:53.398828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b03f2f02-88f6-462b-9e14-14407c33c50e · outbound

This paper cites Towards energy efficient spiking neural networks: An unstructured pruning framework.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Towards energy efficient spiking neural networks: An unstructured pruning framework

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:53.261618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f5ae19d5-af80-49bd-964c-aacedbdbaba9 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Very deep convolutional networks for large-scale image recognition

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:53.127408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45a8f93e-7607-4735-aafd-27343df14cf1 · outbound

This paper cites Snn-bert: Training-efficient spiking neural networks for energy-efficient bert.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Snn-bert: Training-efficient spiking neural networks for energy-efficient bert

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:52.964849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f9412ea4-dfad-4026-94e1-3c5b6d4b6dbb · outbound

This paper cites RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning RL-Pruner: Structured Pruning Using Reinforcement Learning for CNN Compression and Acceleration

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:45.367940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98a7cb0c-a6df-4790-b3e2-4a031690c7cf · outbound

This paper cites Efficient spiking neural network design via neural architecture search.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Efficient spiking neural network design via neural architecture search

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:52.813134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f8a5f74-1c2f-4d2b-b14d-2bc0201f4639 · outbound

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

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Temporal-wise attention spiking neural networks for event streams classification

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:52.680156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a91a81a-e765-49db-8b4e-b38dd0ed0d76 · outbound

This paper cites Attention spiking neural networks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Attention spiking neural networks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:52.543817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 85d168c7-c214-4fa0-b8a9-f660566cd401 · outbound

This paper cites Spike- driven transformer.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Spike- driven transformer

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:52.414415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 55999399-d576-45ea-8a64-8968714ee2cd · outbound

This paper cites Scaling spike-driven transformer with efficient spike firing approximation training.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Scaling spike-driven transformer with efficient spike firing approximation training

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:52.276495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 035b89e5-4246-4915-8647-f0b099c94182 · outbound

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

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Glif: A unified gated leaky integrate-and- fire neuron for spiking neural networks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:52.151713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6da48ec8-3d70-4af2-8283-64b139fa2983 · outbound

This paper cites Workload-balanced pruning for sparse spiking neural networks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Workload-balanced pruning for sparse spiking neural networks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:52.012861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70c6514c-4b71-4538-9a7b-2c9f7802f658 · outbound

This paper cites Going deeper with directly-trained larger spiking neural networks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Going deeper with directly-trained larger spiking neural networks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:46.307348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7dab6ac-de88-4a1a-9029-defe04011e16 · outbound

This paper cites Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:46.433402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a71f581-97cc-46b4-9123-588adf12e1ba · outbound

This paper cites It can be found in 4 for method and 5.2 for experiments results.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning It can be found in 4 for method and 5.2 for experiments results

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:51.870301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 224f3322-a832-44a8-b3b9-0e6de414a71b · outbound

This paper cites Limitations.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Limitations

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:51.744393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a59b7a1c-b4e7-44a1-8f4b-4e439ce2b9b6 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:51.576672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bac64aca-2e98-4d7c-8f36-e9ded0aad640 · outbound

This paper cites And we have also described our algorithm in 4 with details.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning And we have also described our algorithm in 4 with details

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:51.389841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a175922-23af-41f2-a404-33b7f0e9fa80 · outbound

This paper cites Additionally, we have uploaded our code.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Additionally, we have uploaded our code

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:51.275046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d4019657-c76e-4dd7-b885-c9295ed456f3 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Guidelines: • The answer NA means that the paper does not include experiments

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:51.192901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 359f91f2-8925-4311-8919-d628a0cd8556 · outbound

This paper cites 4, both of which demonstrated significant statistical relevance/significance.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning 4, both of which demonstrated significant statistical relevance/significance

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:51.068543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c89b8043-ce9f-45d1-8433-d93da643f8a1 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Guidelines: • The answer NA means that the paper does not include experiments

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:50.839880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7c57de6c-065a-43d4-83b1-70cca7a7529e · outbound

This paper cites an unresolved cited work.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:59:50.526191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e7a9eb7b-2950-402f-a6b7-9293c1493f75 · outbound

This paper cites This work promises to bring significant advantages to Edge AI as introduced in Sec 1.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning This work promises to bring significant advantages to Edge AI as introduced in Sec 1

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:50.249784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 78bba145-84c9-4b0e-bf87-c0a26f1e01c5 · outbound

This paper cites Guidelines: • The answer NA means that the paper poses no such risks.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Guidelines: • The answer NA means that the paper poses no such risks

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:50.108085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d55c6c30-dc96-45d1-86f6-528243e88baf · outbound

This paper cites an unresolved cited work.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:59:49.859006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ee853e2-3e91-4176-9caa-14fa988a5b3e · outbound

This paper cites Guidelines: • The answer NA means that the paper does not release new assets.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Guidelines: • The answer NA means that the paper does not release new assets

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:49.659232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20bbb22c-8b1c-4c9a-a43a-972956c956d3 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:47.716181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62ba08ad-3c35-4b32-b260-0b657db8aec7 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:49.417619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b4aa886f-00f4-49a7-8475-10e3848340fc · outbound

This paper cites Answer: [NA] Justification: The core method development in this research does not involve LLMs as any important, original, or non-standard components.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Answer: [NA] Justification: The core method development in this research does not involve LLMs as any important, original, or non-standard components

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:59:49.182947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 37a2d7e2-9ad5-4f37-bdfe-54c906a147c9 · outbound

This paper cites doi: 10.24963/ijcai.2021/236.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning doi: 10.24963/ijcai.2021/236

Reference 1721

Resolution: verified exact; doi, observed 2026-08-06T21:59:47.988449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02f6c0fd-a3a4-465e-bf2a-e6b8c2319a06 · outbound

This paper cites an unresolved cited work.

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning Unresolved cited work

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:43.003000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers