Paper Citation Record · LEDGER

Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2302.08890.

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

pith.paper-citation-record.v1
2302.08890 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 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 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:12:30.239481Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T05:24:31.811418Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3384d38b-9695-42e1-9a7d-82bd4868a49e · inbound

EventCrab: Harnessing Frame and Point Synergy for Event-based Action Recognition and Beyond cites this paper.

EventCrab: Harnessing Frame and Point Synergy for Event-based Action Recognition and Beyond Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-23T16:35:42.380725Z

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 e8fd68e8-126b-481c-884d-b0955e5130d9 · inbound

EventGPT: Event Stream Understanding with Multimodal Large Language Models cites this paper.

EventGPT: Event Stream Understanding with Multimodal Large Language Models Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 47

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Observation 1729ad24-a7d8-45bb-865d-b702ea4f1737 · inbound

Expanding Event Modality Applications through a Robust CLIP-Based Encoder cites this paper.

Expanding Event Modality Applications through a Robust CLIP-Based Encoder Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 62

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Observation 003d9656-cd59-49a4-a0f3-4a8e21b1ad88 · inbound

Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view RGB and Event Streams cites this paper.

Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view RGB and Event Streams Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 64

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Observation 13b7239b-6528-4c27-aa95-103c1c70ef13 · inbound

MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection cites this paper.

MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 11

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Observation cb47f512-92d8-456e-88f8-fea1075911ae · inbound

Neural Ganglion Sensors: Learning Task-specific Event Cameras Inspired by the Neural Circuit of the Human Retina cites this paper.

Neural Ganglion Sensors: Learning Task-specific Event Cameras Inspired by the Neural Circuit of the Human Retina Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 48

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Observation cd5ae109-5273-4f94-9920-b915a8ecb5ad · inbound

Segment Any RGB-Thermal Model with Language-aided Distillation cites this paper.

Segment Any RGB-Thermal Model with Language-aided Distillation Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 1

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Observation d3ce162d-53f1-407a-9840-da164c299d3e · inbound

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection cites this paper.

Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 79

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Observation 1763f9a8-886c-4515-9730-faefa5ba6184 · inbound

From Events to Enhancement: A Survey on Event-Based Imaging Technologies cites this paper.

From Events to Enhancement: A Survey on Event-Based Imaging Technologies Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 86

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Observation 1bdc6eaa-34dd-4697-b1d1-09726076d5be · inbound

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization cites this paper.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 14

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Observation 43926a14-5e6e-43ce-8214-4e186594081c · inbound

A Survey of 3D Reconstruction with Event Cameras cites this paper.

A Survey of 3D Reconstruction with Event Cameras Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:51.626352Z

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Observation 5aa8b794-8c96-49ba-815b-1d8f51cb48b6 · inbound

EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation cites this paper.

EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 67

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Observation 172d7e1a-c57f-456c-b8cd-1ef613d50092 · inbound

Towards Omnidirectional Reasoning with 360-R1: A Dataset, Benchmark, and GRPO-based Method cites this paper.

Towards Omnidirectional Reasoning with 360-R1: A Dataset, Benchmark, and GRPO-based Method Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 83

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Observation f1f0f181-d3aa-4f30-b2ed-01657d64df5f · inbound

MLLMs are Deeply Affected by Modality Bias cites this paper.

MLLMs are Deeply Affected by Modality Bias Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 11

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Observation ed898604-9d66-4632-aea7-4c27d8e9dc48 · inbound

Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling cites this paper.

Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:43:02.850359Z

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Observation c9d38745-974f-4587-b0fc-16b5690e280c · inbound

BiXFormer: A Robust Framework for Maximizing Modality Effectiveness in Multi-Modal Semantic Segmentation cites this paper.

BiXFormer: A Robust Framework for Maximizing Modality Effectiveness in Multi-Modal Semantic Segmentation Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T11:04:00.771080Z

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Observation d996c8c3-d5b1-43af-af7a-4f83a20abc7a · inbound

Edge Intelligence with Spiking Neural Networks cites this paper.

Edge Intelligence with Spiking Neural Networks Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 257

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Source-reported events for the cited work

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Observation 25608951-964d-4afd-bcef-d076c15c2203 · inbound

SEBVS: Synthetic Event-based Visual Servoing for Robot Navigation and Manipulation cites this paper.

SEBVS: Synthetic Event-based Visual Servoing for Robot Navigation and Manipulation Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 26

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Observation 4e71e5b6-9650-419e-a760-74d6465deab7 · inbound

EventTracer: Fast Path Tracing-based Event Stream Rendering cites this paper.

EventTracer: Fast Path Tracing-based Event Stream Rendering Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 5

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Observation 44521fc0-d5f5-40f6-830f-e82b46f7d1fa · inbound

Visual Grounding from Event Cameras cites this paper.

Visual Grounding from Event Cameras Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 64

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Source-reported events for the cited work

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Observation 5943d237-39be-4379-9ba1-46d6b9fee13a · inbound

Event Camera Guided Visual Media Restoration & 3D Reconstruction: A Survey cites this paper.

Event Camera Guided Visual Media Restoration & 3D Reconstruction: A Survey Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 232

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Observation 2325ae1a-c27d-46da-a9af-a8d984be8068 · inbound

Adaptive Control in Autonomous Driving via Real-Time Recurrent RL cites this paper.

Adaptive Control in Autonomous Driving via Real-Time Recurrent RL Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:50:12.739670Z

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 e1222abf-a468-4544-b860-46bd5bee1647 · inbound

Memristor Technologies for Dynamic Vision Sensors: A Critical Assessment and Research Roadmap cites this paper.

Memristor Technologies for Dynamic Vision Sensors: A Critical Assessment and Research Roadmap Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-14T17:47:32.271456Z

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 fd9845b4-9d45-4d02-90fc-c7bbd4fdf6fe · inbound

Brain-inspired spike-timing plasticity for reliable label-efficient event-camera vision cites this paper.

Brain-inspired spike-timing plasticity for reliable label-efficient event-camera vision Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T13:13:18.083954Z

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 9dea67cf-dccf-4894-88bb-be9c08070378 · inbound

A Systematic Survey on Event Camera Representation Learning cites this paper.

A Systematic Survey on Event Camera Representation Learning Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 122

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:39:48.871004Z

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 5a2fef61-76ed-416a-8317-7b531382df81 · inbound

DeLux: Cross-Modal Local Artifact Restoration in Video Using Neuromorphic Data cites this paper.

DeLux: Cross-Modal Local Artifact Restoration in Video Using Neuromorphic Data Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T18:45:59.185807Z

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 82b9339d-98c3-4fc3-beb9-331cfcd4d9e3 · inbound

Event-VLA: Action-Conditioned Event Fusion for Robust Vision-Language-Action Model cites this paper.

Event-VLA: Action-Conditioned Event Fusion for Robust Vision-Language-Action Model Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:04:21.037987Z

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 2160e091-e2f7-4bb5-8822-b9ad07159e16 · inbound

A Hardware-Aware Open-Source Framework for Design Space Exploration of Mixed-Signal Spiking Neural Networks cites this paper.

A Hardware-Aware Open-Source Framework for Design Space Exploration of Mixed-Signal Spiking Neural Networks Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-07-08T05:24:31.812672Z

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 f421587a-07e5-4d88-9822-c9a12370ccb7 · inbound

A Hardware-Aware Open-Source Framework for Design Space Exploration of Mixed-Signal Spiking Neural Networks cites this paper.

A Hardware-Aware Open-Source Framework for Design Space Exploration of Mixed-Signal Spiking Neural Networks Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 55

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Observation c97265bb-5133-4133-905a-b915abb502d2 · inbound

Weaving Light and Time: Unified Harmonic-Geometric Representation Learning for Dense RGB-Event Parsing cites this paper.

Weaving Light and Time: Unified Harmonic-Geometric Representation Learning for Dense RGB-Event Parsing Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-13T05:07:01.933850Z

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Unavailable: canonical work link unavailable.