Paper Citation Record · LEDGER

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition

As of 22 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2505.11232.

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

pith.paper-citation-record.v1
2505.11232 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:59:23.949474Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

32 of 32 outbound references displayed

verified exact4
verified fuzzy3
unresolved20
parse uncertain0
malformed identifier4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7d41689e-f411-4ca2-8d13-c7fce3602edb · outbound

This paper cites A 240×180 10mW 12us latency sparse-out put vision sensor for mobile applications,.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition A 240×180 10mW 12us latency sparse-out put vision sensor for mobile applications,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:25.806630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4104bfed-2e59-44ee-9f94-86b59e1d5d4d · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.767915Z

Source-reported events for the cited work

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Observation 6eefa98e-3f3a-44ed-89a8-4314feb16e3b · outbound

This paper cites End-to-End Learning of Representatio ns for Asynchronous Event-Based Data,.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition End-to-End Learning of Representatio ns for Asynchronous Event-Based Data,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:25.782567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f1f4b81-b17c-4f13-b1cc-355e5a8e8bba · outbound

This paper cites Events-to-Video: Bringing Modern Computer Vision to Event Cameras.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Events-to-Video: Bringing Modern Computer Vision to Event Cameras

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:59:24.292094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b0a120c2-dbed-4ac4-9f10-a58b6a525ea7 · outbound

This paper cites A Differentiable Recurrent Surface for Asynchronous Event-Based Data.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition A Differentiable Recurrent Surface for Asynchronous Event-Based Data

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.798789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ec92375-de98-4e14-b118-b0c66c8d5fc1 · outbound

This paper cites HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.804168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3365de46-ca4c-4b7c-ac82-56716f7bfb3e · outbound

This paper cites HOTS: A Hierarchy of Event-Based Time -Surfaces for Pattern Recognition,.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition HOTS: A Hierarchy of Event-Based Time -Surfaces for Pattern Recognition,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.809291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 564aca77-cb1a-408e-9fb1-6e12298f043a · outbound

This paper cites HFirst: A Temporal Approach to Object Recognition.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition HFirst: A Temporal Approach to Object Recognition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.813735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3764563-6286-4ff0-989f-d4ed79857954 · outbound

This paper cites Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:59:24.192045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 50091e3c-c53f-4b8e-b049-dc6d3f2e0b5d · outbound

This paper cites Learning Visual Motion Segmentat ion Using Event Surfaces,.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Learning Visual Motion Segmentat ion Using Event Surfaces,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.823133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1faa9aa-cac1-47b3-a6de-7474818b70c2 · outbound

This paper cites Graph-Based Object Classiﬁcation for Neu romor- phic Vision Sensing,.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Graph-Based Object Classiﬁcation for Neu romor- phic Vision Sensing,

Reference 11

Resolution: malformed identifier; no resolver link, observed 2026-08-15T20:59:23.828641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de99e342-dae7-428c-95d1-b54bd662d920 · outbound

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

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Space-Time Event C louds for Gesture Recognition: From RGB Cameras to Event Cameras,

Reference 12

Resolution: malformed identifier; no resolver link, observed 2026-08-15T20:59:23.833542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 505f78f3-2e52-42bf-af43-00a663ef4281 · outbound

This paper cites Interacting Maps for Fast Visual Interp retation,.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Interacting Maps for Fast Visual Interp retation,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.838032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d96a5f10-f909-405a-ad93-d8ebc823bdaa · outbound

This paper cites Inductive Representation Learning on Large Graphs.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Inductive Representation Learning on Large Graphs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.846059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc69cd82-6763-4d01-a920-d7de3b0f5ee9 · outbound

This paper cites Graph Attention Networks.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Graph Attention Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.851631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcafe7a2-577d-4f25-83c8-46b26eeefb8f · outbound

This paper cites Event-Stream Representation for Human Gaits Identi- ﬁcation Using Deep Neural Networks,.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Event-Stream Representation for Human Gaits Identi- ﬁcation Using Deep Neural Networks,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.859996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fc5b506-d3b2-4065-b60e-97b98ebd28e0 · outbound

This paper cites A Spiking Neural Network Architectu re for Visual Motion Estimation,.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition A Spiking Neural Network Architectu re for Visual Motion Estimation,

Reference 17

Resolution: malformed identifier; doi_truncated, observed 2026-08-15T20:59:25.158022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1551d01b-5a4c-4834-b3a0-897b1b3e0ca0 · outbound

This paper cites Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.868578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 818a304c-aa8d-4558-a845-48ae8ea5668b · outbound

This paper cites Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.873122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa12fb6-bd05-49b6-bff1-b45f3e56ef81 · outbound

This paper cites Event-based Asynchronous Sparse Convolutional Networks.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Event-based Asynchronous Sparse Convolutional Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.878340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b7b8bc2-af5e-4107-b026-3ee38471bf6a · outbound

This paper cites 3D Semant ic Seg- mentation with Submanifold Sparse Convolutional Networks ,.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition 3D Semant ic Seg- mentation with Submanifold Sparse Convolutional Networks ,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.884414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 603bd2e3-5696-4f24-9d7a-7b47090ef865 · outbound

This paper cites Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:59:24.083030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3b8bac57-8efe-408f-b084-7c2914c29ba6 · outbound

This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.895065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 776eb9a2-c98a-432f-bbee-f31ff14b4aee · outbound

This paper cites EventNet: Asynchro nous Recursive Event Processing,.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition EventNet: Asynchro nous Recursive Event Processing,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.900544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64428779-2b0b-4ac5-8f5d-74d1176c49c2 · outbound

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

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Event-Based Vision: A Survey,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.905841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b831d27f-edcb-4abf-9a81-c53fade85873 · outbound

This paper cites AGSF: Adaptive Graph Fo rmulation and Hand-Crafted Graph Spectral Features for Shape Represe ntation,.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition AGSF: Adaptive Graph Fo rmulation and Hand-Crafted Graph Spectral Features for Shape Represe ntation,

Reference 26

Resolution: malformed identifier; no resolver link, observed 2026-08-15T20:59:23.915051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7a38fe7-98bf-42ef-bc63-ada08284515f · outbound

This paper cites Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:59:24.028193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 556e7d2c-dfe2-416f-a80d-b26a5ffd5111 · outbound

This paper cites CIFAR10-DVS: An Event-Stream Dataset for Object Classiﬁcation,.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition CIFAR10-DVS: An Event-Stream Dataset for Object Classiﬁcation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:59:25.749254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7686bc01-94ad-43d3-80bf-b4fc91cdd741 · outbound

This paper cites Pok er-DVS and MNIST-DVS. Their History, How They Were Made, and Other De- tails,.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Pok er-DVS and MNIST-DVS. Their History, How They Were Made, and Other De- tails,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.943792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f2d5a08-70b1-4de6-8df5-445585aeef15 · outbound

This paper cites E-MLB: Multilevel Benchmark for Event- Based Camera Denoising,.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition E-MLB: Multilevel Benchmark for Event- Based Camera Denoising,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.949474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b141cfd8-c4f5-44dc-9c83-bd99d545fc1e · outbound

This paper cites an unresolved cited work.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition Unresolved cited work

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T20:59:23.935990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69483ff3-3f26-46fb-9df8-1debe18ea200 · outbound

This paper cites End-to-End Learning of Representations for Asynchronous Event-Based Data.

AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition End-to-End Learning of Representations for Asynchronous Event-Based Data

Reference 2019

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T20:59:24.332437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.