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Paper Citation Record · LEDGER

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks

As of 9 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2507.07734.

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

pith.paper-citation-record.v1
2507.07734 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:38:18.918655Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

49 of 49 outbound references displayed

  • verified exact4
  • verified fuzzy33
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dda9df96-3cc4-4b5c-b05c-ffd0a0069741 · outbound

This paper cites Scaling Egocentric Vision: The EPIC-KITCHENS Dataset.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

Reference 1

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unresolved
no resolver link, observed 2026-08-06T18:38:14.862983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:38:14.862983Z digest=sha256:81e13fd9135004283ab5a71deb550dc8cd67144e1a631ee31a70b1b01426037d

Observation 9944baa9-e7ae-41de-bb32-e74ebe22e891 · outbound

This paper cites Online human action detection and anticipation in videos: A survey,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Online human action detection and anticipation in videos: A survey,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T18:38:25.901476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:14.903297Z digest=sha256:db4b51439a34f5f2ba3e5ed3c8fb27f2823910459d010df98a25859dafddd48a

Observation 845a5f07-7aa5-4911-a0da-309e2b282ef8 · outbound

This paper cites Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

Reference 3

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no resolver link, observed 2026-08-06T18:38:14.970233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:38:14.970233Z digest=sha256:326ae5523779a201216f327234e9fcbbb671343ea91be0f2e114f93b72aa9d64

Observation ba96d034-2b79-41b7-b3d5-9b85a4a9d775 · outbound

This paper cites Event-based Vision for Early Prediction of Manipulation Actions.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Event-based Vision for Early Prediction of Manipulation Actions

Reference 4

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verified exact
local_arxiv, observed 2026-08-06T18:38:19.782051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:15.038287Z digest=sha256:4dfef26ea220df5eadd5aa74156f221273152f048c2eccb888b165b3cd679073

Observation 3bab9a4c-bf9a-4780-a176-d2e411b79c94 · outbound

This paper cites An overview of Human Action Recognition in sports based on Computer Vision,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks An overview of Human Action Recognition in sports based on Computer Vision,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:15.130968Z digest=sha256:027895b7fb5bf6fb2dc2b3e561613d13b94db059b36426f2b3ad716778d75b91

Observation 7074b30d-94c8-43c4-8ce6-db1865f28561 · outbound

This paper cites IMU-based Human Activity Recognition using Machine Learning and Deep Learning models,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks IMU-based Human Activity Recognition using Machine Learning and Deep Learning models,

Reference 6

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raw_fallback, observed 2026-08-06T18:38:25.525698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:15.250085Z digest=sha256:a25e8b9de1bbbc98020fb7667a680e0726896f838de00bbcd594a036e905364e

Observation c367bfcb-b176-4b60-b28a-c9ad095d2175 · outbound

This paper cites Lightweight Deep Learning Model in Mobile-Edge Computing for Radar-Based Human Activity Recognition,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Lightweight Deep Learning Model in Mobile-Edge Computing for Radar-Based Human Activity Recognition,

Reference 7

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raw_fallback, observed 2026-08-06T18:38:25.231893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:15.333636Z digest=sha256:4c5f6400bf276a927ce8bc76750f8705d9d0c0a31c86534a6c972af6d21eec8b

Observation a19acc18-3094-459e-a417-93eab3542682 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:38:15.426539Z digest=sha256:e2194ea6ca58795ee98b013c26fbc82272442b63eb4ebdbb825ad46e70206a93

Observation fba67fe6-ef03-40b7-b6a7-5c4d71bbd018 · outbound

This paper cites A Survey on Deep Learning Techniques for Action Anticipation.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks A Survey on Deep Learning Techniques for Action Anticipation

Reference 9

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no resolver link, observed 2026-08-06T18:38:15.500780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:38:15.500780Z digest=sha256:71e4c8e6de9eaab6a47e71c5645a1ba650be29186e09bdcac4f8740c6b47c08e

Observation b6180b59-e86d-4c8c-b373-5b920a80ef22 · outbound

This paper cites Streaming egocentric action anticipa- tion: An evaluation scheme and approach,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Streaming egocentric action anticipa- tion: An evaluation scheme and approach,

Reference 10

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raw_fallback, observed 2026-08-06T18:38:24.986087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:15.591667Z digest=sha256:3f3aeea99cbe8b7855092c23ecfd372b0dd08577d0477ab5fbca5bac2ebdc327

Observation 82ea993f-8632-4a40-9160-d057b1fac441 · outbound

This paper cites Event-Based Vision: A Survey,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Event-Based Vision: A Survey,

Reference 11

Resolution
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raw_fallback, observed 2026-08-06T18:38:24.660344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:15.641169Z digest=sha256:c2f56d655c34b1c977f68a96170c45c182edd7c33029791c9735f78df38a540d

Observation a3c5abe6-ffbe-47a0-93ee-17829f3e10e4 · outbound

This paper cites Action Recognition and Benchmark Using Event Cam- eras,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Action Recognition and Benchmark Using Event Cam- eras,

Reference 12

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raw_fallback, observed 2026-08-06T18:38:24.374701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:15.703456Z digest=sha256:04f363516423b6e14b16b1a0ec5d6c9607998398ac24c54cb01e19006f052490

Observation 4c0b94a2-4357-4379-8b92-502e36d70f41 · outbound

This paper cites Temporal Binary Representation for Event-Based Action Recognition,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Temporal Binary Representation for Event-Based Action Recognition,

Reference 13

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raw_fallback, observed 2026-08-06T18:38:24.216268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:15.769311Z digest=sha256:acb51605a7465d578c49f6e814a97cfb0016f561de1f454610ff7e29d458899d

Observation 585645f2-0dd0-4928-a91d-d185588f5b05 · outbound

This paper cites Scalable Event-by-Event Processing of Neuromorphic Sensory Signals with Deep State-Space Models,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Scalable Event-by-Event Processing of Neuromorphic Sensory Signals with Deep State-Space Models,

Reference 14

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raw_fallback, observed 2026-08-06T18:38:24.053334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:15.854736Z digest=sha256:008020d704f5eafdc54545b13de7245223a929258bc1d0a7b2ea751b036d9c8c

Observation a94aaf34-e739-43e3-9690-fec3afa787cb · outbound

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

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Networks of spiking neurons: The third generation of neural network models,

Reference 15

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raw_fallback, observed 2026-08-06T18:38:23.917723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:15.943656Z digest=sha256:9b55f1bc4d765df95b296e8c293de2297228dcc8bfc00daaf2939e15e01dfa03

Observation 61309c0d-1132-4224-b231-afb629fe6b61 · outbound

This paper cites Efficient Neuromorphic Signal Processing with Loihi 2,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Efficient Neuromorphic Signal Processing with Loihi 2,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:23.770928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:16.026815Z digest=sha256:2a04256ed237169ba6ab1e4fff44d6eff0ca511971a59a1e1bacd569bd4ccb9b

Observation 9465716f-3e0d-48a5-bcc9-aa66a8979eb8 · outbound

This paper cites HMDB: A large video database for human motion recognition,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks HMDB: A large video database for human motion recognition,

Reference 17

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raw_fallback, observed 2026-08-06T18:38:23.620635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:16.117377Z digest=sha256:8ccd2e4ccd8ffc5d177696ea68e66eac6af5b1de9410920c488696dd0288c7d5

Observation 5cd394d3-6172-41e4-9d50-090cd0262ddd · outbound

This paper cites Long-Term Recurrent Convolutional Networks for Visual Recognition and Description,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Long-Term Recurrent Convolutional Networks for Visual Recognition and Description,

Reference 18

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raw_fallback, observed 2026-08-06T18:38:23.502155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:16.201342Z digest=sha256:012b61c4839b50ddc2675d3c65bb042eea9c304fde5772d851e6247f49b9cf1e

Observation abe82106-dfd8-442f-9d0f-0ea3d0ace1ea · outbound

This paper cites Learning Spatiotemporal Features with 3D Convolutional Networks,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Learning Spatiotemporal Features with 3D Convolutional Networks,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-06T18:38:23.367276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:16.263745Z digest=sha256:1d7ca87e218b4eb2a023a3f6a33619054c68f6e8b39436687e17da150b8261c1

Observation 053a3910-5189-4c66-8dfe-bdb03d5dd3fd · outbound

This paper cites Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition,

Reference 20

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raw_fallback, observed 2026-08-06T18:38:23.258097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:16.315443Z digest=sha256:42bad4067f50388d03d61280822c60bbdb26a990e3f7b1ffd25fa3d5f5f35ed4

Observation 99546ef4-283f-4875-9225-96e5ba850da8 · outbound

This paper cites Two-Stream Convolutional Networks for Action Recognition in Videos.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Two-Stream Convolutional Networks for Action Recognition in Videos

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:38:16.408390Z digest=sha256:3942dab0965b302fb18cc7bf1ecd0e3cd8b73547429ff06595c826cdafa62a3e

Observation f2db02ec-7aaa-4771-b5f2-1e88e24bb58e · outbound

This paper cites Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset,

Reference 22

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raw_fallback, observed 2026-08-06T18:38:23.093608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:16.488511Z digest=sha256:07d8fd8bb8de75ab75e1ab2dd599a172142a563a6d32675a388df69be218c82c

Observation d5a06441-ab1f-4402-8ee3-858d146cc9dd · outbound

This paper cites SlowFast Networks for Video Recognition,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks SlowFast Networks for Video Recognition,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:22.912071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:16.578010Z digest=sha256:48e68de4c81d580f6f1fa5eaf9e2145d8047dbeb8a5ec738db1bcbb1b317966d

Observation bdafe435-3711-4798-b93f-e3fa8b1b8de7 · outbound

This paper cites Enhancing Video Transformers for Action Understanding with VLM-aided Training.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Enhancing Video Transformers for Action Understanding with VLM-aided Training

Reference 24

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no resolver link, observed 2026-08-06T18:38:16.667628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:38:16.667628Z digest=sha256:9f366b28c2c11e77bb34ea656d71b4a9d3ed95481d57dd0a5a5b2d56c69a9b73

Observation e5519a07-91a7-46c7-b5d9-0a5defe7dc72 · outbound

This paper cites MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense Anticipation.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks MANTA: Diffusion Mamba for Efficient and Effective Stochastic Long-Term Dense Anticipation

Reference 25

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unresolved
no resolver link, observed 2026-08-06T18:38:16.751632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:38:16.751632Z digest=sha256:de38ac5125f9b8351b092675ab9e51a53568eb9f57a5d6da141aad00030f3ae9

Observation 7fa22a40-1d99-494c-8afb-be392f2024c1 · outbound

This paper cites Early event detection based on dynamic images of surveillance videos,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Early event detection based on dynamic images of surveillance videos,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T18:38:22.729646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:16.821946Z digest=sha256:14ece530bd9dcb524647d614e9a5f9b62415ab88dab6c7ccc07c6b790de5d38f

Observation 3d5a9246-6b86-4ae2-b5f1-b531795f3587 · outbound

This paper cites A Low Power, Fully Event-Based Gesture Recognition System,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks A Low Power, Fully Event-Based Gesture Recognition System,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-06T18:38:22.512586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:16.941996Z digest=sha256:72df636c060ec7d8ce968e64503d210f182963709e961de3f8863a304e3c8420

Observation 2a97eae4-6810-424b-80f2-523904b1e16a · outbound

This paper cites Neuromorphic Vision Datasets for Pedestrian Detection, Action Recognition, and Fall Detection,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Neuromorphic Vision Datasets for Pedestrian Detection, Action Recognition, and Fall Detection,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:22.365880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:17.029983Z digest=sha256:26b81c18d8829c9ccb2ba13160f95e6da35ed3a66261e8bd9fc0eef818413bfc

Observation 18da9220-b696-40c0-be29-9363bdbbc2d4 · outbound

This paper cites Event-based Action Recognition Using Motion Information and Spiking Neural Networks,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Event-based Action Recognition Using Motion Information and Spiking Neural Networks,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:22.167837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:17.105521Z digest=sha256:116dcb35918b7c1320e44f21a35d619e45294eda54cf49dcbc594460bfc8c885

Observation e040f444-2ea7-4957-be65-270cd9aea9ae · outbound

This paper cites Graph-Based Spatio-Temporal Feature Learning for Neu- romorphic Vision Sensing,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Graph-Based Spatio-Temporal Feature Learning for Neu- romorphic Vision Sensing,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:21.970499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:17.157312Z digest=sha256:1528c5bc3421c20ab025a15c6ae631a84912ddd6378a4f26ff846fa70e3a5af7

Observation 358be665-0208-48a5-9c18-53c4fc4d9881 · outbound

This paper cites Eventtransact: A video transformer-based framework for event-camera based action recognition,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Eventtransact: A video transformer-based framework for event-camera based action recognition,

Reference 31

Resolution
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raw_fallback, observed 2026-08-06T18:38:21.829717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:17.226838Z digest=sha256:fef0a7db764c5d9e1445bca5f366913c9b64f2c08179334628d12eb9fca9152d

Observation 76a293e9-149c-4930-9034-45989e7403b7 · outbound

This paper cites Space-Time Event Clouds for Gesture Recognition: From RGB Cameras to Event Cameras,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Space-Time Event Clouds for Gesture Recognition: From RGB Cameras to Event Cameras,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:21.671590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:17.356753Z digest=sha256:2298efba208c5849ab124db1b25cf5a7c272a717ed65ac21d4b9ccc2f4d11980

Observation 38b726f2-2cd5-4112-8722-105f3ab48836 · outbound

This paper cites Training Spiking Neural Networks Using Lessons From Deep Learning,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Training Spiking Neural Networks Using Lessons From Deep Learning,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:21.352917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:17.439332Z digest=sha256:16a84cbbd887575eac9debb3ed806c15b7ed9bb291d7572ddb728aa3adf0e6e5

Observation a2ecafa4-c76f-4595-8f5a-47ec2b1b14cf · outbound

This paper cites Spiking Neural Networks for event-based action recognition: A new task to understand their advantage,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Spiking Neural Networks for event-based action recognition: A new task to understand their advantage,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:21.092690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:17.535426Z digest=sha256:551adc81dfaab169bb9447874e95fce450041269a5d316ea242ca4af7d9abb98

Observation db5a671f-72a6-445a-b079-667f755f7f9b · outbound

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

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T18:38:17.643295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:38:17.643295Z digest=sha256:688b6308a8b7976a9d4f9f237506a1055faff0bc59d97af942612cb04ed13e64

Observation 7db1b5c1-bc39-41b7-a58a-cfa7ae6b5812 · outbound

This paper cites Temporal-Guided Spiking Neural Networks for Event-Based Human Action Recognition.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Temporal-Guided Spiking Neural Networks for Event-Based Human Action Recognition

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T18:38:17.708233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:38:17.708233Z digest=sha256:2bb0f43b9767dbfd305c0b42e18d89e6fddae652c15306667e0a30b35618278b

Observation 5d4b271f-851c-4b16-a558-57fff3342b1a · outbound

This paper cites Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Spike-HAR++: an energy-efficient and lightweight parallel spiking transformer for event-based human action recognition,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:20.885481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:17.811410Z digest=sha256:1bc270606d9b64deee7fcdc3776a45ab1e2b93a7a966f42e6a96e5432c4ffeaf

Observation aae4bd53-8cf6-4637-8a42-7801ee714153 · outbound

This paper cites Two-Stream Spiking Neural Network for Event-based Action Recognition,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Two-Stream Spiking Neural Network for Event-based Action Recognition,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:20.723954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:17.902758Z digest=sha256:ae36441e95841680481864cbc566c9b00df9e41f7e5d216bead0c8777b9542b8

Observation 074d7bf0-289e-4795-b9b4-65cb8e3d0949 · outbound

This paper cites Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:20.563515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:18.033320Z digest=sha256:b360a05d196e4adfba7f41842b6c1a57a6a9b4735f3b5fd325498903088d8cac

Observation bc56c685-1d90-49d8-b352-48afc05d0cb6 · outbound

This paper cites Neuronal Dy- namics: From Single Neurons To Networks And Models Of Cognition,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Neuronal Dy- namics: From Single Neurons To Networks And Models Of Cognition,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:20.415094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:18.123440Z digest=sha256:3afe45ad79c0646b21b402a23c1905121c9e89e98988eb19df6843268316576c

Observation a2748d2d-7849-48cc-8cba-4f4e38a45fd3 · outbound

This paper cites Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T18:38:18.227722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:38:18.227722Z digest=sha256:eed53b67e921acf2d55b6fd0cb29e24fb383de458492ac402ce24f5012b012f0

Observation ed8e93a9-17fd-4a2b-a4c3-74108910951d · outbound

This paper cites Neuromorphic Lip-Reading with Signed Spiking Gated Recurrent Units,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Neuromorphic Lip-Reading with Signed Spiking Gated Recurrent Units,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:20.310774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:18.326321Z digest=sha256:f75532f59f3ba609632514368e51add5dbd8a1e7f97f48e472517d2ba02acafd

Observation 2383e970-80c5-4dde-b56d-b481b5d7b017 · outbound

This paper cites Efficient recurrent architectures through activity sparsity and sparse back-propagation through time.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Efficient recurrent architectures through activity sparsity and sparse back-propagation through time

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T18:38:18.427735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:38:18.427735Z digest=sha256:8e554292ee0aa79d44d82390dfc25708d9ddf65d2e4a7110a0ed438119bcb9a6

Observation c5f17a4b-be4a-4fd6-876f-1e7ccf64c790 · outbound

This paper cites Temporal Contrastive Learning for Spiking Neural Networks.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Temporal Contrastive Learning for Spiking Neural Networks

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:38:19.508574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:18.511446Z digest=sha256:f974a4be9734f7395f642e97fe5bfe7fbcfcba7c5c469acf7d54f0eb333784a5

Observation 500172d7-16ad-4ecb-8aef-ccc64aca666f · outbound

This paper cites ED-sKWS: Early-Decision Spiking Neural Networks for Rapid,and Energy-Efficient Keyword Spotting.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks ED-sKWS: Early-Decision Spiking Neural Networks for Rapid,and Energy-Efficient Keyword Spotting

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:38:19.313348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:18.577872Z digest=sha256:af3735f7010492370de56a686130b9c86464573336ca8d4b133bde9eb73a4cf3

Observation 85b0dc49-9c3a-440a-81a2-933b70e6cbc0 · outbound

This paper cites NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:38:19.129025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:18.657204Z digest=sha256:fad94388b68d963084eae18a0ded6c75a3e1f1d9c6164a722f86bb5eb582797f

Observation 394a7deb-abb7-4173-8bea-d15f28ea5d22 · outbound

This paper cites Separate visual pathways for perception and action,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Separate visual pathways for perception and action,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:20.156232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:18.711646Z digest=sha256:1d34472f1d03592cdee0a242602ede10273bdf87ddd68e355268dda5f351acaa

Observation 9a823a39-1a77-4584-a4eb-64e8474d2a7d · outbound

This paper cites Were RNNs All We Needed?.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Were RNNs All We Needed?

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T18:38:18.816732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:38:18.816732Z digest=sha256:1bad67141aeec8f979bc881cc64efc293d0cbd8bc33d1698d6c814ea5902e23c

Observation 0170deb2-23a4-4b2b-8cb7-968774d35bc4 · outbound

This paper cites Comprehensive Survey on Human Motion Tracking System,.

EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks Comprehensive Survey on Human Motion Tracking System,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:38:19.990180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T18:38:18.918655Z digest=sha256:d290d5dc109ca771b137f07cddcb8ce0c2da34241b17634e1cdf0075fae55b5e

Pith citing papers

No inbound Pith citation observations are available.