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Paper Citation Record · LEDGER

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection

As of 18 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2507.15150.

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

pith.paper-citation-record.v1
2507.15150 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:43:53.142216Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

61 of 61 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ebcde2f-3f2f-4683-933c-74874c21cc35 · outbound

This paper cites SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception

Reference 1

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Observation 291df325-1eb4-4f7d-b69a-4ac248282824 · outbound

This paper cites A low power, fully event-based gesture recognition system.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection A low power, fully event-based gesture recognition system

Reference 2

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Observation 8218c04b-a636-4e0e-96e8-d6803e78f709 · outbound

This paper cites Monocular event-based vision for obstacle avoidance with a quadrotor.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Monocular event-based vision for obstacle avoidance with a quadrotor

Reference 3

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Observation 50ce73fe-0292-4819-9624-8c0a26daa4d3 · outbound

This paper cites Graph-based object classifica- tion for neuromorphic vision sensing.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Graph-based object classifica- tion for neuromorphic vision sensing

Reference 4

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

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Observation 08bea77a-1d60-499a-87b5-33f8db5c393d · outbound

This paper cites Graph-based spatio-temporal feature learning for neuromorphic vision sensing.IEEE Transactions on Image Processing, 2020.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Graph-based spatio-temporal feature learning for neuromorphic vision sensing.IEEE Transactions on Image Processing, 2020

Reference 5

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Source-reported events for the cited work

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

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Observation 46d9e9b6-fb2b-4180-b694-89e938bff742 · outbound

This paper cites T¨onnies.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection T¨onnies

Reference 6

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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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Observation f9965a0c-eb4e-4427-aca3-e9a451425e2c · outbound

This paper cites Pedro: An event-based dataset for person detection in robotics.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Pedro: An event-based dataset for person detection in robotics

Reference 7

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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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Observation d20e94b7-c534-4534-b8e0-dc4c56e4a6b1 · outbound

This paper cites How attentive are graph attention networks? InInternational Conference on Learning Representations.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection How attentive are graph attention networks? InInternational Conference on Learning Representations

Reference 8

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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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Observation caf2f59e-3c76-483f-b7d3-842284fc78a0 · outbound

This paper cites Asynchronous convolutional networks for object detection in neuromorphic cameras.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Asynchronous convolutional networks for object detection in neuromorphic cameras

Reference 9

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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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Observation 2f6da0d2-ff3b-49c2-922f-f4fb3c551674 · outbound

This paper cites Recent Event Camera Innovations: A Survey.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Recent Event Camera Innovations: A Survey

Reference 10

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Source-reported events for the cited work

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Observation 859c2de5-9912-4ca7-9008-152cf86c7c70 · outbound

This paper cites Ob- ject detection with spiking neural networks on automotive event data.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Ob- ject detection with spiking neural networks on automotive event data

Reference 11

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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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Observation e04412a8-e038-4d3d-b32f-f02630a0d10c · outbound

This paper cites Ob- ject detection with spiking neural networks on automotive event data.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Ob- ject detection with spiking neural networks on automotive event data

Reference 12

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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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Observation ddf5e2d3-6056-48bd-a3e8-d693031783d3 · outbound

This paper cites A large scale event-based detec- tion dataset for automotive, 2020.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection A large scale event-based detec- tion dataset for automotive, 2020

Reference 13

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Source-reported events for the cited work

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Observation 3ceb40b0-01a3-47dd-84b2-b766c42c7360 · outbound

This paper cites A voxel graph cnn for object classification with event cameras.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection A voxel graph cnn for object classification with event cameras

Reference 14

Resolution
verified fuzzy
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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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Observation 0ffe3b1a-690c-4ec8-9c6e-c1acc363894e · outbound

This paper cites A dynamic gcn with cross-representation distillation for event-based learn- ing.Proceedings of the AAAI Conference on Artificial Intel- ligence, 38(2):1492–1500, 2024.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection A dynamic gcn with cross-representation distillation for event-based learn- ing.Proceedings of the AAAI Conference on Artificial Intel- ligence, 38(2):1492–1500, 2024

Reference 15

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verified fuzzy
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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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Observation 88bde24c-ef6f-46bd-8aa0-8707067b3c4c · outbound

This paper cites PyTorch Lightning, 2019.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection PyTorch Lightning, 2019

Reference 16

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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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Observation 5df9569d-52ed-4fbb-80fe-ee0437ed5b16 · outbound

This paper cites an unresolved cited work.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Unresolved cited work

Reference 17

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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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Observation cb2de199-4b9f-48bf-bf4d-1cae4955a3e6 · outbound

This paper cites Event-based, 6-dof camera tracking from photometric depth maps.IEEE transactions on pattern analysis and machine intelligence, 40(10):2402–2412, 2017.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Event-based, 6-dof camera tracking from photometric depth maps.IEEE transactions on pattern analysis and machine intelligence, 40(10):2402–2412, 2017

Reference 18

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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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Observation aba0c136-9bdc-4303-a85b-00db62800082 · outbound

This paper cites Event-based Vision: A Survey.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Event-based Vision: A Survey

Reference 19

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Source-reported events for the cited work

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Observation 325d3a95-c44e-42a6-88cb-6168f693e72c · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection YOLOX: Exceeding YOLO Series in 2021

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:53.042874Z digest=sha256:87e72cdae3fe6762f2090d8669b99c3075b756c220d4815b08bf7d2a841f09fe

Observation 3b693688-a176-4cab-be51-077575f1d667 · outbound

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

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Low-latency auto- motive vision with event cameras.Nature, 629(8014):1034– 1040, 2024

Reference 21

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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.

source=pdf_text observed=2026-08-06T15:43:53.045766Z digest=sha256:973d95719745fa54b531870216ccbbd11fabf2a2937bcda864d8ecfc9de3585f

Observation 8dd142cd-81f3-432d-821e-f4cf4a4cfb72 · outbound

This paper cites Recurrent vision transformers for object detection with event cameras.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Recurrent vision transformers for object detection with event cameras

Reference 22

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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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Observation bbd31d99-5ad9-4579-8930-e71fdee5391a · outbound

This paper cites Dsec: A stereo event camera dataset for driving scenarios.IEEE Robotics and Automation Letters, 2021.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Dsec: A stereo event camera dataset for driving scenarios.IEEE Robotics and Automation Letters, 2021

Reference 23

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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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Observation 74e81d11-2efb-4269-ba22-a8a91eaf8d4d · outbound

This paper cites Region-based convolutional networks for accurate object detection and segmentation.IEEE transactions on pattern analysis and machine intelligence, 38(1):142–158,.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Region-based convolutional networks for accurate object detection and segmentation.IEEE transactions on pattern analysis and machine intelligence, 38(1):142–158,

Reference 24

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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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Observation 80280df0-e686-47d2-be4d-310b500f50ab · outbound

This paper cites Hierarchical neural memory network for low latency event processing.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Hierarchical neural memory network for low latency event processing

Reference 25

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verified fuzzy
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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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Observation 7a94ea11-2e50-46b8-947f-e13f37cad45e · outbound

This paper cites Robust estimation of a location parameter.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Robust estimation of a location parameter

Reference 26

Resolution
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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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Observation 1917fabf-50b1-4896-aba0-4afb0b2f188b · outbound

This paper cites Towards event-driven object detection with off-the-shelf deep learning.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Towards event-driven object detection with off-the-shelf deep learning

Reference 27

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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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Observation f5ae3cab-5e96-4f4c-8e91-052949608cfd · outbound

This paper cites Memory-efficient graph convolutional networks for object classification and detection with event cameras.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Memory-efficient graph convolutional networks for object classification and detection with event cameras

Reference 28

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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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Observation 0e992ac9-33cc-4cfa-b00a-085ec952fbe6 · outbound

This paper cites Chen, Zhenshan Bing, and Alois Knoll.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Chen, Zhenshan Bing, and Alois Knoll

Reference 29

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raw_fallback, observed 2026-08-06T15:43:53.450477Z

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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Observation fb4228ae-54c4-43b8-9da6-d609096bc318 · outbound

This paper cites Mixed frame-/event-driven fast pedestrian detection.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Mixed frame-/event-driven fast pedestrian detection

Reference 30

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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.

source=pdf_text observed=2026-08-06T15:43:53.067882Z digest=sha256:7d8097d59cbe49fe4dba19984f72de85e171dbffb6b13af301eb46275d11599e

Observation c19277f6-e19a-4298-bd25-44d811dec096 · outbound

This paper cites an unresolved cited work.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-06T15:43:53.434695Z

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.

source=pdf_text observed=2026-08-06T15:43:53.070164Z digest=sha256:dfcf6eb3db85bb33587e62122ed00159e6a7adbf22b3071209e08de153ba4ce1

Observation 3d4afe8b-72a4-4002-989e-7a206e801eac · outbound

This paper cites Shi, and Ryad B.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Shi, and Ryad B

Reference 32

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raw_fallback, observed 2026-08-06T15:43:53.427367Z

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.

source=pdf_text observed=2026-08-06T15:43:53.072604Z digest=sha256:c284633f59bfd7a867a3457eb5297355a0a729acd708b6c9f4611cfeaaeb1bb3

Observation 1b960ca3-9406-4556-9c10-03462e3ca75f · outbound

This paper cites Asynchronous spatio-temporal memory net- work for continuous event-based object detection.IEEE Transactions on Image Processing, 2022.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Asynchronous spatio-temporal memory net- work for continuous event-based object detection.IEEE Transactions on Image Processing, 2022

Reference 33

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raw_fallback, observed 2026-08-06T15:43:53.420211Z

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.

source=pdf_text observed=2026-08-06T15:43:53.074922Z digest=sha256:396db92dca84e607d7aeb23dbb7be34dfff52b94cee677ef12e24c3527915653

Observation 7cdb761d-cbaa-4aa7-a46a-2bd4b2699ca7 · outbound

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

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Graph-based asyn- chronous event processing for rapid object recognition

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.412847Z

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.

source=pdf_text observed=2026-08-06T15:43:53.077108Z digest=sha256:642356b35fb01fc071816fba86e729e510d9457bb4f990dd843936b2cca84c93

Observation b2f08b0d-5279-4d28-8496-51c4e28b5797 · outbound

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

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Graph-based asyn- chronous event processing for rapid object recognition

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.405017Z

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.

source=pdf_text observed=2026-08-06T15:43:53.079548Z digest=sha256:a2bfe7b3b93b028e413bed00ce3d5d47be389e5a8857c77c323433c29d72974c

Observation 525822db-ab99-4625-80e2-17fb643bde16 · outbound

This paper cites A 128×128 120 db 15µs latency asynchronous temporal con- trast vision sensor.IEEE Journal of Solid-State Circuits, 43 (2):566–576, 2008.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection A 128×128 120 db 15µs latency asynchronous temporal con- trast vision sensor.IEEE Journal of Solid-State Circuits, 43 (2):566–576, 2008

Reference 36

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unresolved
no resolver link, observed 2026-08-06T15:43:53.082476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:53.082476Z digest=sha256:614bab6e1623d1452837f38b62c2dd25df58c643e585ed25fe4136fbb7001df0

Observation 3c3d12e1-dd3b-49e4-855a-4474200c9ebf · outbound

This paper cites Microsoft coco: Common objects in context.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Microsoft coco: Common objects in context

Reference 37

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unresolved
no resolver link, observed 2026-08-06T15:43:53.085157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:53.085157Z digest=sha256:b2fef72134339ec0b30666584452175d49a96337c95a6cd526bb6e30fad143c6

Observation 37822321-5307-455e-ac38-f7b2f22ba8ff · outbound

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

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Event-based asynchronous sparse con- volutional networks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.388029Z

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.

source=pdf_text observed=2026-08-06T15:43:53.087457Z digest=sha256:09dfdacb3bbaee0d972c487dcf60cfcee7afb992497787477241f9aae2f07831

Observation d7c80ffd-8dd7-4163-9d8b-acb85c760383 · outbound

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

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Event-based asynchronous sparse con- volutional networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.380697Z

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.

source=pdf_text observed=2026-08-06T15:43:53.089676Z digest=sha256:11c4464f2f6266ca90a451776a41a78b1093e107ff0038ca18e383511178a835

Observation f4b7255f-3d19-478e-8c9e-7b2f7469eb9f · outbound

This paper cites Learning visual motion segmentation using event surfaces.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Learning visual motion segmentation using event surfaces

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.372213Z

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.

source=pdf_text observed=2026-08-06T15:43:53.092004Z digest=sha256:8597e1f6cb15b07f3a7f1e7233dafdbb64e02ff50583350a0f5e9641446760ac

Observation 3bb8e3f1-6ea0-496e-89ab-3f6e71ae269b · outbound

This paper cites Better and faster: Adaptive event conver- sion for event-based object detection.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Better and faster: Adaptive event conver- sion for event-based object detection

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.364802Z

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.

source=pdf_text observed=2026-08-06T15:43:53.094374Z digest=sha256:ddd77dd8659652847954dda1ecbd56df7b2395010f9393f6bdcfa2b052d79c23

Observation 3aad0118-e3fc-48a6-a581-5ef032668050 · outbound

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

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Get: Group event transformer for event- based vision

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.357518Z

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.

source=pdf_text observed=2026-08-06T15:43:53.096548Z digest=sha256:8dfc33d9222781bd92e7a6e540599b5a83d3438e0956d6f27a507b64a1e1a79c

Observation a78ee76f-6158-41e7-bba5-051c9c71684f · outbound

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

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Scene adaptive sparse transformer for event-based object detection

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.349600Z

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.

source=pdf_text observed=2026-08-06T15:43:53.098854Z digest=sha256:5476b0b7fc12ee549eb5978618601ef89db4d1fbb7d0d3eb01cc9a02d611d2c4

Observation ddc62e34-42e0-487b-94a4-c9c48d5cb9da · outbound

This paper cites Learning to detect objects with a 1 megapixel event camera.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Learning to detect objects with a 1 megapixel event camera

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.342157Z

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.

source=pdf_text observed=2026-08-06T15:43:53.101193Z digest=sha256:6711230a739dccf9958895234b7f9e7dfaac1b630367b1663ebd251ae3420ed9

Observation e068902b-53d3-44f4-8cf7-ec6ea7d31738 · outbound

This paper cites High speed and high dynamic range video with an event camera.IEEE transactions on pattern analysis and machine intelligence, 43(6):1964–1980, 2019.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection High speed and high dynamic range video with an event camera.IEEE transactions on pattern analysis and machine intelligence, 43(6):1964–1980, 2019

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T15:43:53.103574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:53.103574Z digest=sha256:ee9e83369275e887d7dec3e040f135da71fa4c0f7608e9d20ae4dee139f38414

Observation 05fcc7f7-3ccd-4223-aa30-165221d8b314 · outbound

This paper cites You only look once: Unified, real-time object de- tection.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection You only look once: Unified, real-time object de- tection

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.329976Z

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.

source=pdf_text observed=2026-08-06T15:43:53.105858Z digest=sha256:203873a0e8395ac4a948d70ece317ebc62e91b8c458f244bf87fe6c605260fcc

Observation 0470995e-3f00-48cb-8518-0a3e0e78c1e1 · outbound

This paper cites Focal loss for dense ob- ject detection.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Focal loss for dense ob- ject detection

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.322952Z

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.

source=pdf_text observed=2026-08-06T15:43:53.108008Z digest=sha256:ea39dcad5996acd555aa227061cc41583cd7198d85942cd1ef541e466fd450b4

Observation aa999a51-c0e8-43c5-80c6-b1d9e8f4d313 · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T15:43:53.110574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:53.110574Z digest=sha256:e876a5450d34bce8ba83f61b10aca874b3e1e49f166dcd1295adb1015d3b38d0

Observation 57da78b3-ab4a-414e-88ac-27942105c8da · outbound

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

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Aegnn: Asynchronous event-based graph neural networks

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.315251Z

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.

source=pdf_text observed=2026-08-06T15:43:53.113319Z digest=sha256:90aa17d1c06b1c7a9b887c7a8ea8597a4b4fc92c2f04cf7aa7414f680cb04951

Observation 535caa29-d33a-4962-b9e9-775ed45ee969 · outbound

This paper cites Eventnet: Asynchronous recursive event processing.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Eventnet: Asynchronous recursive event processing

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.308068Z

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.

source=pdf_text observed=2026-08-06T15:43:53.115599Z digest=sha256:d06a07c4e1e95335595d10382e73268767e3c330863a3f4a8504b2f1f05f08b5

Observation 50516eb7-47f0-4836-a0d3-61263a599ade · outbound

This paper cites Hats: Histograms of aver- aged time surfaces for robust event-based object classifica- tion.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Hats: Histograms of aver- aged time surfaces for robust event-based object classifica- tion

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.300732Z

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.

source=pdf_text observed=2026-08-06T15:43:53.118107Z digest=sha256:39231ff94e645c3b7ae0ed366385fc1232ca8de550224f1290fd70245a3b3ba4

Observation f015f9e7-23e1-4e2d-89a3-a949a7d67a41 · outbound

This paper cites Deep directly-trained spik- ing neural networks for object detection.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Deep directly-trained spik- ing neural networks for object detection

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.293189Z

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.

source=pdf_text observed=2026-08-06T15:43:53.120541Z digest=sha256:c459aaea481f30774a958d7ae4a30cd2f9e3d7cfb7141ec5649ce3af6b9cefa3

Observation f2726e35-43b8-419a-a7bc-2173ea936733 · outbound

This paper cites etram: Event-based traffic monitoring dataset.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection etram: Event-based traffic monitoring dataset

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.285408Z

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.

source=pdf_text observed=2026-08-06T15:43:53.122759Z digest=sha256:f6c1d9a482a65a8511da1c517fb2f0fefe4c4d322ba5e54f3715fe5b707861e6

Observation 3154e26f-03e7-464f-ad09-5ea15cd43037 · outbound

This paper cites EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T15:43:53.125130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:53.125130Z digest=sha256:5edb5e5c20862c99be3b3f1ea74472e9296a5ee8ba5c5320105bc39aadb50418

Observation 5a57e763-4de0-402d-ac30-eef879467af5 · outbound

This paper cites Spikingvit: a multi- scale spiking vision transformer model for event-based ob- ject detection.IEEE Transactions on Cognitive and Devel- opmental Systems, 2024.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Spikingvit: a multi- scale spiking vision transformer model for event-based ob- ject detection.IEEE Transactions on Cognitive and Devel- opmental Systems, 2024

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.277867Z

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.

source=pdf_text observed=2026-08-06T15:43:53.127875Z digest=sha256:a05cb7595e6e276599880e98e378b24eb13f5c0424ecee0843edafed2addfa1b

Observation 80b035cd-e760-43f2-9a4c-fe55f6ceeffb · outbound

This paper cites Trainable spiking-yolo for low-latency and high-performance object detection.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Trainable spiking-yolo for low-latency and high-performance object detection

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.270060Z

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.

source=pdf_text observed=2026-08-06T15:43:53.130232Z digest=sha256:3fdcc11d4f137cac3efc2ad31c6600406d399907f8c630deefa84875c8653104

Observation a9808e46-9f9b-444b-a290-9160f948297a · outbound

This paper cites Deep learning for event-based vision: A comprehensive survey and bench- marks, 2023.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Deep learning for event-based vision: A comprehensive survey and bench- marks, 2023

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.260419Z

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.

source=pdf_text observed=2026-08-06T15:43:53.132580Z digest=sha256:573a1f3ec0d47438a40e8320fc196ec5b288df3b5b435edb93451d90a0cbfcdb

Observation 3dad5281-fa79-4ab2-929d-93afaa2f63d3 · outbound

This paper cites Enhancing ge- ometric factors in model learning and inference for object detection and instance segmentation.IEEE transactions on cybernetics, 52(8):8574–8586, 2021.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Enhancing ge- ometric factors in model learning and inference for object detection and instance segmentation.IEEE transactions on cybernetics, 52(8):8574–8586, 2021

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.252709Z

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.

source=pdf_text observed=2026-08-06T15:43:53.134932Z digest=sha256:e26dbdd891fffb9f310edfdd2abd038b48b7aa344fe24c27aeb8ea56411f022c

Observation ce5ad970-bd71-446b-9a5e-c101f055287f · outbound

This paper cites Event-based motion segmentation with spatio- temporal graph cuts.IEEE Transactions on Neural Networks and Learning Systems, 34(8):4868–4880, 2023.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection Event-based motion segmentation with spatio- temporal graph cuts.IEEE Transactions on Neural Networks and Learning Systems, 34(8):4868–4880, 2023

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.244880Z

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.

source=pdf_text observed=2026-08-06T15:43:53.137497Z digest=sha256:6a1e9359ca181667e9a35341b718bc81e848ac977e95a9427b082b1ac4a085e0

Observation a94ce581-fcaf-4171-90dc-f85fb1ae1766 · outbound

This paper cites The multi- vehicle stereo event camera dataset: An event camera dataset for 3d perception.IEEE Robotics and Automation Letters, 3 (3):2032–2039, 2018.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection The multi- vehicle stereo event camera dataset: An event camera dataset for 3d perception.IEEE Robotics and Automation Letters, 3 (3):2032–2039, 2018

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.236505Z

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.

source=pdf_text observed=2026-08-06T15:43:53.139890Z digest=sha256:773617107177c1c16a65182150f6fe2963f246321938939feb0ba4afeeb747d5

Observation 0b2b2a4d-37a6-4878-8982-c2ab1dc7ca78 · outbound

This paper cites State space models for event cameras.

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection State space models for event cameras

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:43:53.227207Z

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.

source=pdf_text observed=2026-08-06T15:43:53.142216Z digest=sha256:03a578269903e5b4888ccaa92d936aa680fd8c59cf88b088fe4c529556ddd411

Pith citing papers

No inbound Pith citation observations are available.