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Paper Citation Record · LEDGER

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention

As of 7 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 2 inbound Pith citation observations for arXiv:2603.06228.

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

pith.paper-citation-record.v1
2603.06228 v3

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:46:02.657964Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T03:16:47.858523Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:09:30.005062Z

Reference resolution

49 of 49 outbound references displayed

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  • unresolved49
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12a8b031-39eb-4b55-903c-c683c74a245d · outbound

This paper cites Layer Normalization.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Layer Normalization

Reference 1

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Observation 799038da-e603-45f8-a994-201678900568 · outbound

This paper cites EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception

Reference 2

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Observation 0fc8c4b2-3c4a-4a51-b156-824c6e87a648 · outbound

This paper cites Hugnet: Hemi- spherical update graph neural network applied to low-latency event-based optical flow.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Hugnet: Hemi- spherical update graph neural network applied to low-latency event-based optical flow

Reference 3

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Observation 4e2645c3-1d03-4594-a921-2dc473346545 · outbound

This paper cites Graph neural network combining event stream and periodic aggre- gation for low-latency event-based vision.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Graph neural network combining event stream and periodic aggre- gation for low-latency event-based vision

Reference 4

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Observation da84e19e-6d51-410f-9ce6-e77bef6fb6c8 · outbound

This paper cites A Large Scale Event-based Detection Dataset for Automotive.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention A Large Scale Event-based Detection Dataset for Automotive

Reference 5

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Observation 5fff87bf-33a8-4c2d-bbec-ec5939c1ebef · outbound

This paper cites Mom: Linear sequence modeling with mixture- of-memories.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Mom: Linear sequence modeling with mixture- of-memories

Reference 6

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Observation 705de6fd-b3d9-47a6-8fca-64eec2cce148 · outbound

This paper cites Dy- namic obstacle avoidance for quadrotors with event cameras.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Dy- namic obstacle avoidance for quadrotors with event cameras

Reference 7

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Observation 20a66e69-2b02-4fae-b187-92fc4dd3925d · outbound

This paper cites Eventpillars: Pillar-based efficient representations for event data.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Eventpillars: Pillar-based efficient representations for event data

Reference 8

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Observation 9ba86593-f88c-4c54-870d-aa18ea1e690b · outbound

This paper cites Event-based vision: A survey.IEEE transactions on pattern analysis and machine intelligence, 44(1):154–180, 2020.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Event-based vision: A survey.IEEE transactions on pattern analysis and machine intelligence, 44(1):154–180, 2020

Reference 9

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Observation 931a125b-36b5-4972-87c6-380d26313ed1 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention YOLOX: Exceeding YOLO Series in 2021

Reference 10

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Observation ce6e834a-8c13-4c21-89ae-f2747a75a22d · outbound

This paper cites Low-latency auto- motive vision with event cameras.Nature, 629(8014):1034– 1040, 2024.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Low-latency auto- motive vision with event cameras.Nature, 629(8014):1034– 1040, 2024

Reference 11

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Observation b061099d-53cd-4a67-b2dc-bf1ed4ee1e97 · outbound

This paper cites Long short-term memory.Supervised sequence labelling with recurrent neural networks, pages 37–45, 2012.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Long short-term memory.Supervised sequence labelling with recurrent neural networks, pages 37–45, 2012

Reference 12

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Observation 44ca984f-1993-49e8-a40d-eee8609fe4ae · outbound

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

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Mamba: Linear-time sequence mod- eling with selective state spaces

Reference 13

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Observation 2c784351-0d1a-4f2e-9950-7fccd3bcb43b · outbound

This paper cites Maximizing asyn- chronicity in event-based neural networks.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Maximizing asyn- chronicity in event-based neural networks

Reference 14

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Observation 2bf7cdd1-76bd-4115-991e-7d0bf3889fbe · outbound

This paper cites Deep residual learning for image recognition.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Deep residual learning for image recognition

Reference 15

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Observation 84b316a3-aa30-4dda-ae4b-1a92fb14a44d · outbound

This paper cites Neuromorphic-enabled video- activated cell sorting.Nature communications, 15(1):10792,.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Neuromorphic-enabled video- activated cell sorting.Nature communications, 15(1):10792,

Reference 16

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Observation c012af27-7f01-4194-a20b-e77a72ecebc4 · outbound

This paper cites Averaging Weights Leads to Wider Optima and Better Generalization.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Averaging Weights Leads to Wider Optima and Better Generalization

Reference 17

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Observation 8f26abf8-9cc8-4819-b95f-5c23d3d8ae84 · outbound

This paper cites an unresolved cited work.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Unresolved cited work

Reference 18

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Observation 440e4a07-76c9-4563-95cb-38db83700a01 · outbound

This paper cites As- sociative memory augmented asynchronous spatiotemporal representation learning for event-based perception.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention As- sociative memory augmented asynchronous spatiotemporal representation learning for event-based perception

Reference 19

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Observation e7cc68ad-483b-4ae8-be62-8c3535edcf7c · outbound

This paper cites Transformers are rnns: Fast autoregressive transformers with linear attention.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Transformers are rnns: Fast autoregressive transformers with linear attention

Reference 20

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Observation 940ddcfd-c68e-4d81-8e77-2c1ca1f0c96d · outbound

This paper cites Asynchronous collaborative graph representation for frames and events.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Asynchronous collaborative graph representation for frames and events

Reference 21

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Observation 423422b9-1cda-4d71-a618-9a2dd3cf95f3 · outbound

This paper cites Graph-based asyn- chronous event processing for rapid object recognition.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Graph-based asyn- chronous event processing for rapid object recognition

Reference 22

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Observation 2496532f-a72a-4a19-87ed-05c4991a21ee · outbound

This paper cites Microsoft coco: Common objects in context.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Microsoft coco: Common objects in context

Reference 23

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Observation 48d43592-82b2-4301-bd7b-d7f53e32ecf3 · outbound

This paper cites Decoupled weight de- cay regularization.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Decoupled weight de- cay regularization

Reference 24

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Observation e6538b6c-3a06-4765-add4-6aa7c68ee99d · outbound

This paper cites Event-based asynchronous sparse con- volutional networks.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Event-based asynchronous sparse con- volutional networks

Reference 25

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source=pdf_text observed=2026-08-02T18:45:59.393433Z digest=sha256:d6bef16f1cfd032a75acf0b5911082c83454c5cff3cf2598bd1dc8f4241fd431

Observation 3a35ffdc-9c68-4812-bfdb-ffa34c05ab0e · outbound

This paper cites Converting static image datasets to spiking neuromorphic datasets using saccades.Frontiers in neuro- science, 9:437, 2015.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Converting static image datasets to spiking neuromorphic datasets using saccades.Frontiers in neuro- science, 9:437, 2015

Reference 26

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Observation 45179339-f28f-44a9-8216-2772af10461b · outbound

This paper cites Resurrecting recurrent neural networks for long se- quences.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Resurrecting recurrent neural networks for long se- quences

Reference 27

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Observation 1418681f-b10b-48e6-be10-3dba586ad593 · outbound

This paper cites Scaling linear attention with sparse state expansion.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Scaling linear attention with sparse state expansion

Reference 28

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Observation d1bacfd1-225b-4091-9867-7b68076912a8 · outbound

This paper cites Fully neuromorphic vision and control for au- tonomous drone flight.Science Robotics, 9(90):eadi0591,.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Fully neuromorphic vision and control for au- tonomous drone flight.Science Robotics, 9(90):eadi0591,

Reference 29

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Observation 00fbf6eb-8b4b-4371-aea9-895a4cc742bc · outbound

This paper cites Pytorch: An im- perative style, high-performance deep learning library.Ad- vances in neural information processing systems, 32, 2019.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Pytorch: An im- perative style, high-performance deep learning library.Ad- vances in neural information processing systems, 32, 2019

Reference 30

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Observation 43633924-8651-43e5-9583-168027bfe57a · outbound

This paper cites Rwkv: Reinventing rnns for the transformer era.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Rwkv: Reinventing rnns for the transformer era

Reference 31

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Observation 5e4e7ec8-f238-4e8e-b036-6276af575404 · outbound

This paper cites Get: Group event transformer for event-based vision.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Get: Group event transformer for event-based vision

Reference 32

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Observation 29d3b7f2-c2a0-462d-9c14-715590877bba · outbound

This paper cites Scene adaptive sparse transformer for event-based object detection.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Scene adaptive sparse transformer for event-based object detection

Reference 33

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Observation 36112b50-98d3-4f05-9174-09f68821e882 · outbound

This paper cites Learning to detect objects with a 1 megapixel event camera.Advances in Neural Information Processing Systems, 33:16639–16652, 2020.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Learning to detect objects with a 1 megapixel event camera.Advances in Neural Information Processing Systems, 33:16639–16652, 2020

Reference 34

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Observation 6ebe1d4d-2b40-44a6-bdf4-17c17cfa07bb · outbound

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

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 35

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Observation 17b31b6b-e234-492b-844a-082a6ae6b08f · outbound

This paper cites Farse-cnn: Fully asynchronous, recurrent and sparse event-based cnn.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Farse-cnn: Fully asynchronous, recurrent and sparse event-based cnn

Reference 36

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Observation 0660a6fb-3c7a-4bf0-843b-07dd75548df7 · outbound

This paper cites Aegnn: Asynchronous event-based graph neural networks.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Aegnn: Asynchronous event-based graph neural networks

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Observation a707d896-31ff-460e-bef2-38078960a4ea · outbound

This paper cites Scalable event-by-event processing of neuromorphic sensory signals with deep state-space models.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Scalable event-by-event processing of neuromorphic sensory signals with deep state-space models

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source=pdf_text observed=2026-08-02T18:46:01.608728Z digest=sha256:76abf5ecd18f58d5be3af35b30b408b4c77968f4b41d13cfb70adc99fdbf700e

Observation c20ac65a-9d9e-48ac-a9e7-a764e2644fde · outbound

This paper cites Eventnet: Asynchronous recursive event processing.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Eventnet: Asynchronous recursive event processing

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Observation 0ae3b2ba-1d8d-4974-9bc5-3b92add76e5f · outbound

This paper cites Col2a: Convolution-free local linear attention for spatiotemporal event processing.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Col2a: Convolution-free local linear attention for spatiotemporal event processing

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Observation 00f178ac-6d81-40b4-a185-d05ce159386b · outbound

This paper cites S7: Selective and Simplified State Space Layers for Sequence Modeling.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention S7: Selective and Simplified State Space Layers for Sequence Modeling

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source=pdf_text observed=2026-08-02T18:46:02.054673Z digest=sha256:973ac0dd7d3669c410a3dbbd6dd0e0d8f6bc92f4a2c25f59ea7d527c5ba499de

Observation e05b7be1-edd3-415e-8784-c12105c2a1f6 · outbound

This paper cites Tri- ton: an intermediate language and compiler for tiled neu- ral network computations.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Tri- ton: an intermediate language and compiler for tiled neu- ral network computations

Reference 42

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source=pdf_text observed=2026-08-02T18:46:02.184643Z digest=sha256:b9e05b004af97b9bd45ecb1b705433e205f67ff8fa06a527dad614fc19e027ed

Observation e96f0372-7e04-4818-895d-70ef777343cd · outbound

This paper cites ALERT- transformer: Bridging asynchronous and synchronous ma- chine learning for real-time event-based spatio-temporal data.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention ALERT- transformer: Bridging asynchronous and synchronous ma- chine learning for real-time event-based spatio-temporal data

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source=pdf_text observed=2026-08-02T18:46:02.313421Z digest=sha256:2e50af95c774c397c0e14adffbe25eee9cc39df853a16d7bd1bb5de45a5f38dc

Observation 570f771a-af77-44cb-9fde-019ce3b1dd41 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Attention is all you need.Advances in neural information processing systems, 30, 2017

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source=pdf_text observed=2026-08-02T18:46:02.395622Z digest=sha256:25f08663b8c03ea4140f3c331acb11c9b0b5fdf8b5a3992b853b0fc6f07fa170

Observation 0ac919e1-e26b-4d83-b07a-3f18fc725fbd · outbound

This paper cites Smamba: Sparse mamba for event- based object detection.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Smamba: Sparse mamba for event- based object detection

Reference 45

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source=pdf_text observed=2026-08-02T18:46:02.431480Z digest=sha256:63e6f112ff3d3c32c8b1c13000b8af01286a9f7c0ae198c411b89f5a9000a072

Observation e886139b-f685-49ba-a8c4-d67b7b0d1d36 · outbound

This paper cites Gated Linear Attention Transformers with Hardware-Efficient Training.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Gated Linear Attention Transformers with Hardware-Efficient Training

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source=pdf_text observed=2026-08-02T18:46:02.463573Z digest=sha256:230094bc71d3149b6202482b47fc1359e0de656719e4366cc44037ac7d84aad2

Observation 0970e1d0-5ba8-4c76-8bdc-6caddbc8e833 · outbound

This paper cites Parallelizing linear transformers with the delta rule over sequence length.Advances in neural information processing systems, 37:115491–115522, 2024.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Parallelizing linear transformers with the delta rule over sequence length.Advances in neural information processing systems, 37:115491–115522, 2024

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source=pdf_text observed=2026-08-02T18:46:02.541831Z digest=sha256:545cc05040d9a421c77bc28d169db9146d6e11ad42c8558cca1982f5d540c9d5

Observation fe1d0e65-ffe1-4aaf-84c6-b445d8df1d0d · outbound

This paper cites Compute-in- memory implementation of state space models for event se- quence processing.Nature Communications, 2026.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention Compute-in- memory implementation of state space models for event se- quence processing.Nature Communications, 2026

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source=pdf_text observed=2026-08-02T18:46:02.578415Z digest=sha256:02b845683753480faccde67d8d8f933ba8fc588c18dcec39f3b0427e6556eb4e

Observation b1c449dd-b99c-45fd-9a0b-3698784cc022 · outbound

This paper cites From chaos comes order: Ordering event rep- resentations for object recognition and detection.

Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention From chaos comes order: Ordering event rep- resentations for object recognition and detection

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source=pdf_text observed=2026-08-02T18:46:02.657964Z digest=sha256:ceea6f3f9a6dacf564a834b170491d84bed00de57cb6f879ab9c1deb47c96cc9

Pith citing papers

Observation 857eac38-a806-4c55-aaeb-c899b891c79d · inbound

FATE: Pillar Encoding and Frequency-Aware Training for Event-Based Object Detection cites this paper.

FATE: Pillar Encoding and Frequency-Aware Training for Event-Based Object Detection Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention

Reference 18

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arxiv_id, observed 2026-07-16T02:22:33.739408Z

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

source=pdf_text observed=2026-06-27T03:16:47.858523Z digest=sha256:eff219cd6708107a9b299cb44d2ec48fad03cfe6f47f5b2a94869e1c89f39c51

Observation c696b944-944e-42f4-9719-af646471ac50 · inbound

Neural Events: Discrete Asynchronous Autoencoders for Event-Based Vision cites this paper.

Neural Events: Discrete Asynchronous Autoencoders for Event-Based Vision Low-latency Event-based Object Detection with Spatially-Sparse Linear Attention

Reference 24

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arxiv_id, observed 2026-07-16T02:22:33.739408Z

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.

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