Paper Citation Record · LEDGER

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net

As of 21 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2411.14585.

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

pith.paper-citation-record.v1
2411.14585 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:11:30.947260Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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verified fuzzy27
unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d174f4f5-b9c0-41e6-be32-8c373904e3ef · outbound

This paper cites PointNet: Deep learning on point sets for 3D classification and segmentation,.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net PointNet: Deep learning on point sets for 3D classification and segmentation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.677282Z

Source-reported events for the cited work

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Observation 91a10537-5647-428e-bfea-168dfc8e59e0 · outbound

This paper cites PointNet++: Deep hierarchical feature learning on point sets in a metric space,.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net PointNet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.662421Z

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Observation 4d58be48-95c4-4c08-9d27-b5e5ae828988 · outbound

This paper cites Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 3

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Observation 758b3ce6-8c45-4779-b46a-c6818841a233 · outbound

This paper cites Space-time event clouds for gesture recognition: From RGB cameras to event cameras,.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Space-time event clouds for gesture recognition: From RGB cameras to event cameras,

Reference 4

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Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Unresolved cited work

Reference 5

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Observation c95ccd45-659f-456d-9748-7f14f7b98e83 · outbound

This paper cites A., et al.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net A., et al

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.616672Z

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Observation 8f3a80bf-7225-4152-b473-ef0ae2113ae5 · outbound

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Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Unresolved cited work

Reference 7

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Observation 475f9024-3539-4481-bcb5-cc18d405269b · outbound

This paper cites Davies, N.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Davies, N

Reference 8

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Reference 9

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Observation 6a1a189f-9579-4f98-b615-94506640b344 · outbound

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Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Unresolved cited work

Reference 10

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Observation 4cd9c139-7a86-4a4a-97ed-48c1e4737628 · outbound

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Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Unresolved cited work

Reference 11

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Observation 47f56d45-9762-4e24-aaf0-48f6179934de · outbound

This paper cites The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net The SpiNNaker 2 Processing Element Architecture for Hybrid Digital Neuromorphic Computing

Reference 12

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Source-reported events for the cited work

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Reference 13

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Observation 451ae352-5cc4-42bd-8dfe-3a9b32c0420d · outbound

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Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Unresolved cited work

Reference 14

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Observation 3cc06496-2cc4-4c05-9bdf-dc2b6b4a2143 · outbound

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Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Unresolved cited work

Reference 15

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Observation cb73f0d1-9905-4cb4-812d-33488a0ac3dd · outbound

This paper cites M., K ¨ostinger, G., Nielsen, C., Qiao, N., & Indiveri, G.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net M., K ¨ostinger, G., Nielsen, C., Qiao, N., & Indiveri, G

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.492794Z

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Observation ef183467-239e-4d39-800d-2151c400304d · outbound

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Reference 17

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Observation 427d278b-597e-43df-b3b2-7c5dde61bbbc · outbound

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Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Unresolved cited work

Reference 18

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Observation 585bfb9f-1dbb-4943-abfa-af3a2245b076 · outbound

This paper cites NVM neuromorphic core with 64k-cell (256-by-256) phase change memory synaptic array with on-chip neuron circuits for continuous in-situ learning,.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net NVM neuromorphic core with 64k-cell (256-by-256) phase change memory synaptic array with on-chip neuron circuits for continuous in-situ learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.449957Z

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Observation c1c6d712-46d8-4b9b-828c-97013ddfbe6e · outbound

This paper cites ”Nanoelectronic Programmable Synapses Based on Phase Change Materials for Brain-Inspired Computing.” Nano Letters, vol.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net ”Nanoelectronic Programmable Synapses Based on Phase Change Materials for Brain-Inspired Computing.” Nano Letters, vol

Reference 20

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Observation e71cb23d-1abf-4f49-857f-3c090fff2443 · outbound

This paper cites Detecting correlations using phase-change neurons and synapses,.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Detecting correlations using phase-change neurons and synapses,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.420291Z

Source-reported events for the cited work

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Observation 4584c0b4-cdfe-4d84-83ab-eefe85f78000 · outbound

This paper cites Analog memristive synapse in spiking networks imple- menting unsupervised learning,.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Analog memristive synapse in spiking networks imple- menting unsupervised learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.406391Z

Source-reported events for the cited work

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Observation 12215a03-28f9-4520-937f-de69b9d48b53 · outbound

This paper cites All-memristive neuromorphic computing with level-tuned neurons,.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net All-memristive neuromorphic computing with level-tuned neurons,

Reference 23

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Observation 71cc14c6-df33-4576-988e-22f22efe0cb3 · outbound

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Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Unresolved cited work

Reference 24

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Source-reported events for the cited work

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Observation 2631e3b3-a889-4748-b47d-d40d3d6c2cb6 · outbound

This paper cites Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses,.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.363161Z

Source-reported events for the cited work

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Observation 83e33901-e610-4f24-9895-db0e6dbbca7f · outbound

This paper cites Memory devices and applications for in- memory computing.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Memory devices and applications for in- memory computing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.348973Z

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Observation 4e4e1b21-4442-429a-9811-77e7ddec9042 · outbound

This paper cites Memory and information pro- cessing in neuromorphic systems.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Memory and information pro- cessing in neuromorphic systems

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.334382Z

Source-reported events for the cited work

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Observation b6bc6887-1910-4c34-8755-86bc8fa87f6d · outbound

This paper cites D-SELD: Dataset- Scalable Exemplar LCA-Decoder.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net D-SELD: Dataset- Scalable Exemplar LCA-Decoder

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.319517Z

Source-reported events for the cited work

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Observation 5d1d4508-f893-46f1-af83-1bfe7751bd12 · outbound

This paper cites ViT-LCA: A Neuromorphic Approach for Vision Transformers.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net ViT-LCA: A Neuromorphic Approach for Vision Transformers

Reference 29

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Observation 9778e7b6-523e-4727-9974-15023540ae17 · outbound

This paper cites Sparse coding via thresholding and local competition in neural circuits,.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Sparse coding via thresholding and local competition in neural circuits,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.304399Z

Source-reported events for the cited work

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Observation 31d7a1d0-aa40-4a42-8ecd-ac3f00839b22 · outbound

This paper cites Locally Com- petitive Algorithms for Sparse Approximation,.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Locally Com- petitive Algorithms for Sparse Approximation,

Reference 31

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Source-reported events for the cited work

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Observation b436a51b-ce90-4203-8e2b-45bbfdf2019c · outbound

This paper cites Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Sac- cades,.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Sac- cades,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.289966Z

Source-reported events for the cited work

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Observation 1ac205bd-bec1-4567-8d7c-db6d4955d04b · outbound

This paper cites The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Net- works,.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Net- works,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.276176Z

Source-reported events for the cited work

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Observation 57b47ac8-aefb-49bb-b581-6e35169124a9 · outbound

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

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Spiking pointnet: Spiking neural networks for point clouds,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.261872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe10345a-23ac-452f-8142-54b548023030 · outbound

This paper cites SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition,.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.247363Z

Source-reported events for the cited work

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Observation c8423bbe-43a9-40d8-9721-f176f156afd4 · outbound

This paper cites Paszke, S.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Paszke, S

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.233211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0de8a2bb-d523-4eea-810b-64805372efa2 · outbound

This paper cites Joshua, and Qian, He.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Joshua, and Qian, He

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.216893Z

Source-reported events for the cited work

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Observation 3aeec79c-d214-44ff-a3a2-40ab558befe5 · outbound

This paper cites Point Trans- former,.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Point Trans- former,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.200901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0ce78224-abd5-4dae-866d-cb948cbbb33c · outbound

This paper cites ”Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions.” Applied Sciences, vol.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net ”Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions.” Applied Sciences, vol

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.185770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 48b62406-5bf3-4c1e-a58b-4e8ab98546ec · outbound

This paper cites Khaddam-Aljameh, M.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Khaddam-Aljameh, M

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.171603Z

Source-reported events for the cited work

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Observation 06fcccbb-b84d-40f0-a43c-bb002a5dd9cb · outbound

This paper cites Le Gallo, R.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Le Gallo, R

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.157498Z

Source-reported events for the cited work

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Observation 28a97e85-98f3-4b00-bab4-c6519944c06a · outbound

This paper cites Joshua, Lu, Wei, Chang, Meng-Fan, Ielmini, Daniele, Yang, Yuchao, et al.

Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net Joshua, Lu, Wei, Chang, Meng-Fan, Ielmini, Daniele, Yang, Yuchao, et al

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:11:31.143976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.