Efficient Spiking Point Mamba for Point Cloud Analysis | Paper Citation Record

Observation 748d6a84-9351-43a8-8366-74cfadb2986a · outbound

This paper cites Adaptive exponen- tial integrate-and-fire model as an effective description of neuronal activity.Journal of neurophysiology, 94(5):3637– 3642, 2005.

Efficient Spiking Point Mamba for Point Cloud Analysis Adaptive exponen- tial integrate-and-fire model as an effective description of neuronal activity.Journal of neurophysiology, 94(5):3637– 3642, 2005

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:03.277840Z

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Observation d832ca3a-8015-4b8b-8be0-120467636215 · outbound

This paper cites Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks.

Efficient Spiking Point Mamba for Point Cloud Analysis Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.556174Z

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Observation 53dfcb93-ce7e-413e-beab-8109a4ca2d0e · outbound

This paper cites Cooperative behavior in pe- riodically driven noisy integrate-fire models of neuronal dy- namics.Physical Review E, 53(4):3958, 1996.

Efficient Spiking Point Mamba for Point Cloud Analysis Cooperative behavior in pe- riodically driven noisy integrate-fire models of neuronal dy- namics.Physical Review E, 53(4):3958, 1996

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:03.259661Z

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Observation 5f4a8a25-099a-4d16-8099-d056f4376be6 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Efficient Spiking Point Mamba for Point Cloud Analysis ShapeNet: An Information-Rich 3D Model Repository

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.570131Z

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Observation aa250a70-b3d8-4548-91c1-33985ab7d101 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Efficient Spiking Point Mamba for Point Cloud Analysis Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.575911Z

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Observation 8bcf782c-8ca7-4543-9483-9c57c3407a0d · outbound

This paper cites Audio mamba: Bidirectional state space model for audio representation learning.IEEE Signal Processing Let- ters, 2024.

Efficient Spiking Point Mamba for Point Cloud Analysis Audio mamba: Bidirectional state space model for audio representation learning.IEEE Signal Processing Let- ters, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:03.241351Z

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Observation eb0a34d8-4f97-4e4d-a6c4-c5c1712da8e3 · outbound

This paper cites Incorporating learnable membrane time constant to enhance learning of spiking neu- ral networks.

Efficient Spiking Point Mamba for Point Cloud Analysis Incorporating learnable membrane time constant to enhance learning of spiking neu- ral networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:03.223682Z

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Observation ee59e7c4-92e6-41f1-ad12-1d47eb9b973c · outbound

This paper cites Hungry hungry hippos: Towards language modeling with state space mod- els.

Efficient Spiking Point Mamba for Point Cloud Analysis Hungry hungry hippos: Towards language modeling with state space mod- els

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:03.206938Z

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Observation 57b91c64-b611-4953-b05d-7cd27b2d2643 · outbound

This paper cites Cambridge university press, 2002.

Efficient Spiking Point Mamba for Point Cloud Analysis Cambridge university press, 2002

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:03.190122Z

Source-reported events for the cited work

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Observation 00fb78f8-da3e-4e30-9ddf-0c2ab42240dc · outbound

This paper cites It’s raw! audio generation with state-space models.

Efficient Spiking Point Mamba for Point Cloud Analysis It’s raw! audio generation with state-space models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:03.172385Z

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Observation e0cfa7b2-5c56-4343-8b70-0158ff876150 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Efficient Spiking Point Mamba for Point Cloud Analysis Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.611732Z

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Observation 4342a7b0-2a35-459a-b648-b3a2b978b997 · outbound

This paper cites Mamba: Linear-time sequence mod- eling with selective state spaces.

Efficient Spiking Point Mamba for Point Cloud Analysis Mamba: Linear-time sequence mod- eling with selective state spaces

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:03.155477Z

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Observation 3c5a0fb2-5f58-47a9-b01c-8b7788b42bd4 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Efficient Spiking Point Mamba for Point Cloud Analysis Efficiently Modeling Long Sequences with Structured State Spaces

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.624473Z

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Observation 95508bb4-5fbf-4956-a6b8-9b9375e1f112 · outbound

This paper cites On the parameterization and initialization of diagonal state space models.Advances in Neural Information Processing Systems, 35:35971–35983, 2022.

Efficient Spiking Point Mamba for Point Cloud Analysis On the parameterization and initialization of diagonal state space models.Advances in Neural Information Processing Systems, 35:35971–35983, 2022

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.631664Z

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Observation f36e8644-7386-435c-8a6d-571abe9c02f8 · outbound

This paper cites How to train your hippo: State space mod- els with generalized orthogonal basis projections.

Efficient Spiking Point Mamba for Point Cloud Analysis How to train your hippo: State space mod- els with generalized orthogonal basis projections

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:03.125356Z

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Observation ee8c5baf-718d-4c72-8e9a-655654130b06 · outbound

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

Efficient Spiking Point Mamba for Point Cloud Analysis Rmp- loss: Regularizing membrane potential distribution for spik- ing neural networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.641973Z

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Observation fa04d254-4ed5-484e-b6d9-a3d5a75c3b8a · outbound

This paper cites Diagonal state spaces are as effective as structured state spaces.Advances in Neural Information Processing Systems, 35:22982–22994,.

Efficient Spiking Point Mamba for Point Cloud Analysis Diagonal state spaces are as effective as structured state spaces.Advances in Neural Information Processing Systems, 35:22982–22994,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.648667Z

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Observation 29303a92-d966-4c12-b73e-e2180013fc22 · outbound

This paper cites Mamba3d: Enhancing local features for 3d point cloud anal- ysis via state space model.

Efficient Spiking Point Mamba for Point Cloud Analysis Mamba3d: Enhancing local features for 3d point cloud anal- ysis via state space model

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:03.083941Z

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Observation 6e2da256-18af-4aab-919f-65e31bfdfdc6 · outbound

This paper cites Reducing ann-snn conversion error through residual membrane potential.

Efficient Spiking Point Mamba for Point Cloud Analysis Reducing ann-snn conversion error through residual membrane potential

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:03.064176Z

Source-reported events for the cited work

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Observation 9d724d3b-a1fa-47fe-8b5e-9c6af4fbcd18 · outbound

This paper cites Fast-snn: fast spiking neural network by converting quan- tized ann.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 2023.

Efficient Spiking Point Mamba for Point Cloud Analysis Fast-snn: fast spiking neural network by converting quan- tized ann.IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 2023

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:03.047064Z

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Observation aa39b3e1-e74c-40eb-814f-4bfea44e5c87 · outbound

This paper cites Efficient converted spiking neural network for 3d and 2d classification.

Efficient Spiking Point Mamba for Point Cloud Analysis Efficient converted spiking neural network for 3d and 2d classification

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:03.028683Z

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Observation 701e4b06-429d-4f7f-888b-65458a3dcf45 · outbound

This paper cites Videomamba: State space model for efficient video understanding.

Efficient Spiking Point Mamba for Point Cloud Analysis Videomamba: State space model for efficient video understanding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.681887Z

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Observation f2ec7033-9835-4532-974e-076a74e1f3be · outbound

This paper cites End-to-end learning local multi-view descriptors for 3d point clouds.

Efficient Spiking Point Mamba for Point Cloud Analysis End-to-end learning local multi-view descriptors for 3d point clouds

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.998857Z

Source-reported events for the cited work

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Observation 77d79c9d-6de3-4747-8ccd-4006f56463f1 · outbound

This paper cites Pointmamba: A simple state space model for point cloud analysis.Advances in neural information processing systems, 37:32653–32677,.

Efficient Spiking Point Mamba for Point Cloud Analysis Pointmamba: A simple state space model for point cloud analysis.Advances in neural information processing systems, 37:32653–32677,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.692394Z

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Observation e3f27950-d8c4-47d2-9640-aa04fd4b43d6 · outbound

This paper cites Masked discrimina- tion for self-supervised learning on point clouds.

Efficient Spiking Point Mamba for Point Cloud Analysis Masked discrimina- tion for self-supervised learning on point clouds

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.971424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d7645da0-3e1c-427d-b54c-d77d90f780f0 · outbound

This paper cites MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models.

Efficient Spiking Point Mamba for Point Cloud Analysis MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.706007Z

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Observation 1014f577-9f65-4a1b-9ef3-c84cd00bae96 · outbound

This paper cites Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy.

Efficient Spiking Point Mamba for Point Cloud Analysis Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.712221Z

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Observation f6665a88-a375-42e0-b845-9fc6f4095ff4 · outbound

This paper cites Vmamba: Visual state space model.Advances in neural information processing systems, 37:103031–103063, 2025.

Efficient Spiking Point Mamba for Point Cloud Analysis Vmamba: Visual state space model.Advances in neural information processing systems, 37:103031–103063, 2025

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.955170Z

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Observation 2384da18-71e7-4134-9127-8b898f518751 · outbound

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

Efficient Spiking Point Mamba for Point Cloud Analysis Integer-valued training and spike-driven inference spiking neural network for high-performance and energy-efficient object detection

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.938890Z

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Observation 3753a8de-34de-4a35-9a96-989252b92e40 · outbound

This paper cites Re- thinking network design and local geometry in point cloud: A simple residual mlp framework.

Efficient Spiking Point Mamba for Point Cloud Analysis Re- thinking network design and local geometry in point cloud: A simple residual mlp framework

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.922746Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 556acd23-4261-4b9e-8f37-d5df3aee1c96 · outbound

This paper cites V oxnet: A 3d con- volutional neural network for real-time object recognition.

Efficient Spiking Point Mamba for Point Cloud Analysis V oxnet: A 3d con- volutional neural network for real-time object recognition

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.736574Z

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Observation 85d94c87-fad9-4ce5-b53a-72b30811e76a · outbound

This paper cites Long range language modeling via gated state spaces.

Efficient Spiking Point Mamba for Point Cloud Analysis Long range language modeling via gated state spaces

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.894337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fc78752a-db82-4b34-b3a8-d6fb6a93fbf1 · outbound

This paper cites S4nd: Modeling images and videos as multidimensional signals with state spaces.Advances in neural information processing systems, 35:2846–2861, 2022.

Efficient Spiking Point Mamba for Point Cloud Analysis S4nd: Modeling images and videos as multidimensional signals with state spaces.Advances in neural information processing systems, 35:2846–2861, 2022

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.747614Z

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Observation 7fdefb05-82c6-4159-9a7b-1c0da700d3d5 · outbound

This paper cites Resurrecting recurrent neural networks for long sequences.

Efficient Spiking Point Mamba for Point Cloud Analysis Resurrecting recurrent neural networks for long sequences

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.862447Z

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Observation afe9e683-95f0-4925-bf73-f8522017755a · outbound

This paper cites an unresolved cited work.

Efficient Spiking Point Mamba for Point Cloud Analysis Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:55:02.844602Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cb1a657b-0393-40a7-bcca-be5e81374e3d · outbound

This paper cites Masked autoencoders for point cloud self-supervised learning.

Efficient Spiking Point Mamba for Point Cloud Analysis Masked autoencoders for point cloud self-supervised learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.826131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c4a9cd88-9e7b-4e36-a68f-31ce425881ee · outbound

This paper cites Fast point transformer.

Efficient Spiking Point Mamba for Point Cloud Analysis Fast point transformer

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.769712Z

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Unavailable: canonical work link unavailable.

Observation 4e5fb105-1d64-4c7d-a726-8ab7e84cbf4e · outbound

This paper cites Dgcnn: A convolutional neural network over large-scale labeled graphs.Neural Networks, 108:533– 543, 2018.

Efficient Spiking Point Mamba for Point Cloud Analysis Dgcnn: A convolutional neural network over large-scale labeled graphs.Neural Networks, 108:533– 543, 2018

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.796858Z

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Observation 7c507e21-8a37-4015-b1de-50ce0f7f57d0 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

Efficient Spiking Point Mamba for Point Cloud Analysis Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.779408Z

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Observation 151c1019-5a73-4c72-97c2-b6b134182407 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017.

Efficient Spiking Point Mamba for Point Cloud Analysis Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30, 2017

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.768777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 51edfb7b-3a05-42b5-ab47-dc87084c3087 · outbound

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

Efficient Spiking Point Mamba for Point Cloud Analysis Efficient 3D Recognition with Event-driven Spike Sparse Convolution

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.790032Z

Source-reported events for the cited work

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Observation 2be8f0c8-7240-47c0-ba33-5375433ccc5e · outbound

This paper cites Spiking pointnet: Spik- ing neural networks for point clouds.Advances in Neural Information Processing Systems, 36, 2024.

Efficient Spiking Point Mamba for Point Cloud Analysis Spiking pointnet: Spik- ing neural networks for point clouds.Advances in Neural Information Processing Systems, 36, 2024

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.750195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0aef252d-5fc8-48f8-827d-aca024d9ef4b · outbound

This paper cites Towards spike-based machine intelligence with neuromor- phic computing.Nature, 575(7784):607–617, 2019.

Efficient Spiking Point Mamba for Point Cloud Analysis Towards spike-based machine intelligence with neuromor- phic computing.Nature, 575(7784):607–617, 2019

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.724636Z

Source-reported events for the cited work

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Observation 258d1f93-90b2-417c-9a66-410770283c6a · outbound

This paper cites Opportunities for neu- romorphic computing algorithms and applications.Nature Computational Science, 2(1):10–19, 2022.

Efficient Spiking Point Mamba for Point Cloud Analysis Opportunities for neu- romorphic computing algorithms and applications.Nature Computational Science, 2(1):10–19, 2022

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.709111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 422f72a9-f10e-4607-81ca-ba264619440c · outbound

This paper cites Visual analysis of leaky integrate-and-fire spiking neuron models and circuits.

Efficient Spiking Point Mamba for Point Cloud Analysis Visual analysis of leaky integrate-and-fire spiking neuron models and circuits

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.691990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 341daa51-d49d-4fc7-9bbe-e1a501c5cf96 · outbound

This paper cites SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models.

Efficient Spiking Point Mamba for Point Cloud Analysis SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:01.852755Z

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Observation 71d2ab77-fc5d-45dc-a21d-5c80b75a4abf · outbound

This paper cites Pv-rcnn: Point- voxel feature set abstraction for 3d object detection.

Efficient Spiking Point Mamba for Point Cloud Analysis Pv-rcnn: Point- voxel feature set abstraction for 3d object detection

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.672057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c9e80731-bd7e-48b3-bb62-d73e67a74d5a · outbound

This paper cites Simplified state space layers for sequence modeling.

Efficient Spiking Point Mamba for Point Cloud Analysis Simplified state space layers for sequence modeling

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.654322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fafdf7c4-4340-412f-8382-2708f2683b49 · outbound

This paper cites Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data.

Efficient Spiking Point Mamba for Point Cloud Analysis Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.637502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 222d6b38-2dcb-4169-9ccb-a3354373abcd · outbound

This paper cites Masked spiking trans- former.

Efficient Spiking Point Mamba for Point Cloud Analysis Masked spiking trans- former

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.619585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5305b2e1-45d8-4c66-9198-c2dd34e7a56b · outbound

This paper cites Attention-based point cloud edge sampling.

Efficient Spiking Point Mamba for Point Cloud Analysis Attention-based point cloud edge sampling

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.600102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9d3acacd-a7c6-4c15-a7aa-d0dfd49511eb · outbound

This paper cites Spiking point transformer for point cloud classification,.

Efficient Spiking Point Mamba for Point Cloud Analysis Spiking point transformer for point cloud classification,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.581686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57630763-0325-4e75-9ace-e937f0c096af · outbound

This paper cites Point-to-spike residual learning for energy- efficient 3d point cloud classification.

Efficient Spiking Point Mamba for Point Cloud Analysis Point-to-spike residual learning for energy- efficient 3d point cloud classification

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.565742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2a424f31-173e-42c2-b7d1-098daa3697fb · outbound

This paper cites Point-to-spike residual learning for energy- efficient 3d point cloud classification.

Efficient Spiking Point Mamba for Point Cloud Analysis Point-to-spike residual learning for energy- efficient 3d point cloud classification

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.548836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe328d9e-f710-4bf7-ad35-58732e6599c7 · outbound

This paper cites Point transformer v2: Grouped vector atten- tion and partition-based pooling.Advances in Neural Infor- mation Processing Systems, 35:33330–33342, 2022.

Efficient Spiking Point Mamba for Point Cloud Analysis Point transformer v2: Grouped vector atten- tion and partition-based pooling.Advances in Neural Infor- mation Processing Systems, 35:33330–33342, 2022

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:02.013387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d88eba41-5b8b-4e70-804d-2ee6585f08c9 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

Efficient Spiking Point Mamba for Point Cloud Analysis 3d shapenets: A deep representation for volumetric shapes

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:02.018128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fdd54e3-9836-4127-99b3-f649f8d2ac7b · outbound

This paper cites Vivim: a Video Vision Mamba for Medical Video Segmentation.

Efficient Spiking Point Mamba for Point Cloud Analysis Vivim: a Video Vision Mamba for Medical Video Segmentation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:02.023484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff522dee-c507-454b-b532-a34721784377 · outbound

This paper cites Spike-driven transformer.Ad- vances in neural information processing systems, 36, 2024.

Efficient Spiking Point Mamba for Point Cloud Analysis Spike-driven transformer.Ad- vances in neural information processing systems, 36, 2024

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.510031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8503f18-4ea3-464c-b605-2a51d8b68024 · outbound

This paper cites A scalable active framework for region annotation in 3d shape collections.ACM Transactions on Graphics (ToG), 35(6):1–12, 2016.

Efficient Spiking Point Mamba for Point Cloud Analysis A scalable active framework for region annotation in 3d shape collections.ACM Transactions on Graphics (ToG), 35(6):1–12, 2016

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:02.032433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3eff624-ca3b-498f-92c4-9062840e4f4c · outbound

This paper cites Dynamic spiking graph neural net- works.

Efficient Spiking Point Mamba for Point Cloud Analysis Dynamic spiking graph neural net- works

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.480745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 963aed73-5d3d-465e-8e6c-cff885ce20f2 · outbound

This paper cites Point-bert: Pre-training 3d point cloud transformers with masked point modeling.

Efficient Spiking Point Mamba for Point Cloud Analysis Point-bert: Pre-training 3d point cloud transformers with masked point modeling

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.465149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 84c59e54-620a-404f-b3d5-d5f3abf08ca9 · outbound

This paper cites Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection.

Efficient Spiking Point Mamba for Point Cloud Analysis Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:02.048147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7389d35f-66f2-4a30-9d0b-9f8e0f95823c · outbound

This paper cites Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training.

Efficient Spiking Point Mamba for Point Cloud Analysis Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.449016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0ad0eae4-19d2-4123-9a0d-0419d1b99bcf · outbound

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

Efficient Spiking Point Mamba for Point Cloud Analysis Tc-lif: A two-compartment spiking neuron model for long-term sequential modelling

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.432432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9d8ac783-fd01-427f-983e-23f04a8a538b · outbound

This paper cites Point Cloud Mamba: Point Cloud Learning via State Space Model.

Efficient Spiking Point Mamba for Point Cloud Analysis Point Cloud Mamba: Point Cloud Learning via State Space Model

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:02.065255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0f8cc3e-dbcb-45e4-bd4e-0162a8702dab · outbound

This paper cites SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning.

Efficient Spiking Point Mamba for Point Cloud Analysis SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:02.070963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41cb5b75-1635-42a2-a058-c829de7f323d · outbound

This paper cites QKFormer: Hierarchical Spiking Transformer using Q-K Attention.

Efficient Spiking Point Mamba for Point Cloud Analysis QKFormer: Hierarchical Spiking Transformer using Q-K Attention

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:02.078579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e0c8ea5-94db-4629-ba9a-138225ddeabe · outbound

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

Efficient Spiking Point Mamba for Point Cloud Analysis Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:02.084304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df4bfc24-fec3-43b0-aa9a-eeae25f59254 · outbound

This paper cites Vision mamba: Efficient visual representation learning with bidirectional state space model.

Efficient Spiking Point Mamba for Point Cloud Analysis Vision mamba: Efficient visual representation learning with bidirectional state space model

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:55:02.416067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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