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Paper Citation Record · LEDGER

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

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:41:01.817799Z

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

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External citation measurements

No source-named external measurement is stored.

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T16:33:11.271072Z digest=sha256:d40edf8073a4ad01a8a5d149fa0df6c1b35696441e5e87e6153e619b2bc21ae1

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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unresolved
no resolver link, observed 2026-08-05T16:41:01.817799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:41:01.817799Z digest=sha256:260f6527e31b783bc8a3f13307c195f22f9ea55e7549f1ad74618ca2a9729012

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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unresolved
no resolver link, observed 2026-08-04T18:53:22.971883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:53:22.971883Z digest=sha256:66b0b126a5857f3c85f791a27c9fc6aa3bd89f04a6c4a80a0fc87e4718b792ef

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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unresolved
no resolver link, observed 2026-08-04T18:25:02.677583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:25:02.677583Z digest=sha256:66faa3756bad88045cfb8cf87329f76f6c3109d8ea20b4990c704054f09b3e62

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T13:47:12.875888Z digest=sha256:1fd310ca8384e5ccb8c682770c535b47e51ab5cb78a4fb411e846cc129513de7

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T17:45:42.414771Z digest=sha256:f43289fd43b3d57924c39e12209d75973a42509a53289d186262329c7cc664bb

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T13:11:05.168342Z digest=sha256:4b1e35fa2786aa33c5cdbe1786cf387d3c90b5c5ce979cbc866ae155bb3b45de

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T06:33:12.448178Z digest=sha256:9eb3a29ba4eceadcdd1c9dbba03dd7e09eabab7d58ce07a0e512d54065b085bb

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T01:38:12.723401Z digest=sha256:91b9075e97400fff1a72038173efd662d105cb5f17ca650a9c869ae644370a85

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T07:01:48.330369Z digest=sha256:40aaefdf8bb320595e8b3914320ff0a67272c9da006f87696373f7c47f5aab69

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-08T05:22:04.559515Z digest=sha256:89aae7e498daf37b0a1934f5d27ee5b190276959dcec9d12db55ceb6ebc7af5f

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

Resolution
unresolved
no resolver link, observed 2026-07-14T16:02:08.139778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:02:08.139778Z digest=sha256:ebed97e9b3658a5158c0817327c419c08e1f518deeb6cc941345234c2a740ccf

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:07:01.933850Z digest=sha256:0acd73500956d965b7296501655b8e8a2b1deab60263fbfbb3127c2e55e4dd6a