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Paper Citation Record · LEDGER

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras

As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2607.26703.

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

pith.paper-citation-record.v1
2607.26703 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T23:33:07.548877Z

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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28f218bb-4936-4041-94bd-e4d158b6c9eb · outbound

This paper cites A 128 × 128 120 dB 15 µs Latency Asynchronous Temporal Contrast Vision Sensor.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras A 128 × 128 120 dB 15 µs Latency Asynchronous Temporal Contrast Vision Sensor

Reference 1

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Observation 22f9dd6c-e11c-4534-ae15-5bf1e2727e06 · outbound

This paper cites Event-based vision: A survey.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Event-based vision: A survey

Reference 2

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Observation d8f935a3-0c61-4f84-b362-029a8d99d2b6 · outbound

This paper cites Spiking Neuron Models: Single Neu - rons, Populations.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Spiking Neuron Models: Single Neu - rons, Populations

Reference 3

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Observation 5d931fa2-462a-40a5-8c2d-35cd0290d3b4 · outbound

This paper cites Networks of spiking neurons: The third generation of neural network models.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Networks of spiking neurons: The third generation of neural network models

Reference 4

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Observation 18278dde-64b1-408d-a70d-bce2b3971c8f · outbound

This paper cites Deep learning with spiking neurons: Opportu- nities and challenges.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Deep learning with spiking neurons: Opportu- nities and challenges

Reference 5

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Observation 930ead2c-a5e5-4025-bef3-1998ddf7b356 · outbound

This paper cites Memory and information processing in neu - romorphic systems.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Memory and information processing in neu - romorphic systems

Reference 6

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Observation 56df250f-2d4e-404a-91fa-9c6a7fbcd10f · outbound

This paper cites Object detection with spik- ing neural networks on automotive event data.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Object detection with spik- ing neural networks on automotive event data

Reference 7

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Observation 7c4651b1-29ce-41c1-ae63-639659ee9ee6 · outbound

This paper cites On the computational power of circuits of spiking neurons.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras On the computational power of circuits of spiking neurons

Reference 8

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Observation c42e42d6-6208-4ebd-9826-37b40c4f1c28 · outbound

This paper cites Rethinking the performance comparison between SNNS and ANNS.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Rethinking the performance comparison between SNNS and ANNS

Reference 9

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Observation 0a3fcb9a-0484-4c7e-947a-d3a759e09f96 · outbound

This paper cites Direct training for spiking neural networks: Faster, larger, better.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Direct training for spiking neural networks: Faster, larger, better

Reference 10

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Observation ada7bb8c-bbcd-4529-9731-8a2a708216ac · outbound

This paper cites Spike-timing dependent plasticity and mutual information maximization for a spiking neuron model.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Spike-timing dependent plasticity and mutual information maximization for a spiking neuron model

Reference 11

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Observation 306c0afc-267f-494e-aa24-75dd974896c4 · outbound

This paper cites Conversion of continuous-valued deep networks to efficient event-driven net- works for image classification.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Conversion of continuous-valued deep networks to efficient event-driven net- works for image classification

Reference 12

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Observation 01aa93d7-90ef-4ae6-9dd3-9da1375c72b0 · outbound

This paper cites On the future of training spik - ing neural networks.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras On the future of training spik - ing neural networks

Reference 13

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Observation 6dcde662-24e5-4a1a-91dd-ee5c2f3a1898 · outbound

This paper cites Surrogate gradient learning in spiking neural networks: Bringing the power of gradient-based optimization to spiking neural networks.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Surrogate gradient learning in spiking neural networks: Bringing the power of gradient-based optimization to spiking neural networks

Reference 14

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Observation 9c8abc1a-8159-49df-b720-967d0a6c7f11 · outbound

This paper cites Moving object detection and tracking by event frame from neuromorphic vision sensors.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Moving object detection and tracking by event frame from neuromorphic vision sensors

Reference 15

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Observation 4bf196df-b6cb-4f86-870e-5de4a0848847 · outbound

This paper cites High-temporal-resolution object detection and tracking using images and events.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras High-temporal-resolution object detection and tracking using images and events

Reference 16

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Observation 2a43d2d9-e0a6-4dae-9cf1-3b39ae1d9072 · outbound

This paper cites Event-based moving object detection and tracking.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Event-based moving object detection and tracking

Reference 17

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Observation 5b3e78c0-de9c-4fb5-9cc8-7aaef12477ce · outbound

This paper cites Asynchro - nous convolutional networks for object detection in neuromor - phic cameras.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Asynchro - nous convolutional networks for object detection in neuromor - phic cameras

Reference 18

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Observation 19d039eb-6204-418a-ace5-3c691f4d5dc0 · outbound

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

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Learning to detect objects with a 1 megapixel event camera

Reference 19

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Observation cc3e5b87-e726-4ba8-83af-46128cd8b820 · outbound

This paper cites Asynchronous spa- tio-temporal memory network for continuous event-based object detection.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Asynchronous spa- tio-temporal memory network for continuous event-based object detection

Reference 20

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Observation 705dce2c-a55f-47b5-9301-208577cb2b9e · outbound

This paper cites Sodformer: Streaming object detection with transformer using events and frames.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Sodformer: Streaming object detection with transformer using events and frames

Reference 21

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Observation 98f660d5-9836-4fed-93e7-495ada9f3328 · outbound

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

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Get: Group event trans- former for event-based vision

Reference 22

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Observation 668e8e14-0a27-4303-9ed4-4cb3de21d84d · outbound

This paper cites State space models for event cameras.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras State space models for event cameras

Reference 23

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Observation 89817d18-b605-4129-bdaa-802801f9076c · outbound

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

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Recurrent vision transformers for object detection with event cameras

Reference 24

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Observation 64ee9296-fb5b-4242-8c52-9e5be225ae89 · outbound

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

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Scene adaptive sparse trans- former for event-based object detection

Reference 25

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Observation e6bcaf5d-32c6-4d1f-86cb-f7ffa80313b1 · outbound

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

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Sparse mamba for event-based object detection

Reference 26

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Observation 506b8e7b-72fb-467c-8bc7-fe3bc198b57e · outbound

This paper cites Evrt-detr: Latent space adaptation of image detectors for event-based vision.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Evrt-detr: Latent space adaptation of image detectors for event-based vision

Reference 27

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Observation 864505d3-ca19-4c62-b99a-2f1251bd1381 · outbound

This paper cites Detrs beat yolos on real-time object detection.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Detrs beat yolos on real-time object detection

Reference 28

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Observation 17e4cddc-6e4f-403f-b445-c3b9d72320c5 · outbound

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

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Deep directly-trained spiking neural networks for object detection

Reference 29

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Observation ba5be679-84a5-4ed9-b2f7-f5a24d60be35 · outbound

This paper cites SFOD: Spiking fusion object detector.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras SFOD: Spiking fusion object detector

Reference 30

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Observation 65fc0da4-a652-41c4-b442-1bc8b389569d · outbound

This paper cites Spik - ing centerNet: A distillation-boosted spiking neural network for object detection.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Spik - ing centerNet: A distillation-boosted spiking neural network for object detection

Reference 31

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Observation 43ac3d9f-f30c-4d58-960c-52103bd54c4c · outbound

This paper cites SpikingViT: A multi-scale spiking vision transformer model for event-based object detection.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras SpikingViT: A multi-scale spiking vision transformer model for event-based object detection

Reference 32

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Observation a174a2ad-3344-4b3e-ab34-d0a01778a7f9 · outbound

This paper cites Automotive object detection via learning sparse events by spiking neurons.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Automotive object detection via learning sparse events by spiking neurons

Reference 33

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Observation 902c6a27-a76d-42a9-8f74-66ca28eabc81 · outbound

This paper cites Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention

Reference 34

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Observation 1ca5139e-d66c-4482-8af8-5d40d8862956 · outbound

This paper cites Hybrid spiking vision transformer for object detection with event cameras.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Hybrid spiking vision transformer for object detection with event cameras

Reference 35

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Observation d88e5bdc-f912-4dc9-be07-bdeb58ce0de6 · outbound

This paper cites Integer-valued training and spike-driven inference spiking neural network for high-perfor - mance and energy-efficient object detection.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Integer-valued training and spike-driven inference spiking neural network for high-perfor - mance and energy-efficient object detection

Reference 36

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Observation c0a59722-9eaf-4601-ac46-c970fafbf167 · outbound

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

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Trainable spiking-yolo for low-latency and high-performance object detec- tion

Reference 37

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Observation 5700f837-f406-44e2-994a-118e893e1b7e · outbound

This paper cites Object detection with spiking neural networks on event videos for driving sce - narios.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Object detection with spiking neural networks on event videos for driving sce - narios

Reference 38

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Observation ea7101ba-5143-4c7b-80d0-ec15bd58cb60 · outbound

This paper cites SSD: Single shot multibox detector.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras SSD: Single shot multibox detector

Reference 39

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Observation 02855d13-993f-4a2a-8c34-ee0730b44927 · outbound

This paper cites Densely con - nected convolutional networks.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Densely con - nected convolutional networks

Reference 40

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Observation dd862210-dac5-4a1d-80ca-a9f5b47b5045 · outbound

This paper cites Incorpo- rating learnable membrane time constant to enhance learning of spiking neural networks.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Incorpo- rating learnable membrane time constant to enhance learning of spiking neural networks

Reference 41

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Observation 7ab810b5-7970-4b96-b973-537d61ecf954 · outbound

This paper cites Quanti- zation and training of neural networks for efficient integer-arith- metic-only inference.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Quanti- zation and training of neural networks for efficient integer-arith- metic-only inference

Reference 42

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Observation b4b7370c-b56b-4cc6-b154-2f0a30237f87 · outbound

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

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras A Large Scale Event-based Detection Dataset for Automotive

Reference 43

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Observation 648e3596-b20c-4454-b6f6-0bb61c6ac71a · outbound

This paper cites Focal loss for dense object detection.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Focal loss for dense object detection

Reference 44

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Observation 16d95c24-e218-4517-a9b5-35b476462a24 · outbound

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

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Towards event-driven object detection with off-the-shelf deep learning

Reference 45

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source=pdf_text observed=2026-07-30T23:33:07.520508Z digest=sha256:79fcdb5052a40b8a3a1cd815d82ddd32ff764b58f480b790735b6d5ea922c900

Observation 06420dc7-dc03-45ad-85ee-c61723e06e69 · outbound

This paper cites Pseudo-labels for supervised learning on dynamic vision sensor data, applied to object detection under ego-motion.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Pseudo-labels for supervised learning on dynamic vision sensor data, applied to object detection under ego-motion

Reference 46

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source=pdf_text observed=2026-07-30T23:33:07.525168Z digest=sha256:6c3cf52fa2243cfac44b89b5ccd09fc97a44e0f740249aa5d1c2ede70fb35500

Observation f3043c33-914e-443a-9806-97f5019fcba5 · outbound

This paper cites YOLOv3: An incremental improvement.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras YOLOv3: An incremental improvement

Reference 47

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source=pdf_text observed=2026-07-30T23:33:07.529709Z digest=sha256:029f4e799ab910acf914153ff6b11a965d25ade07da16b97c46743a3b64be130

Observation 46217036-c50f-468e-a18d-451867149251 · outbound

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

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Mixed frame-/event-driven fast pedestrian detection

Reference 48

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source=pdf_text observed=2026-07-30T23:33:07.534251Z digest=sha256:a8a5943813d8c94bd6029b42049d647fb300ac525c965c617e8f9cc06a302869

Observation dbed8d71-5307-4e75-8236-635575542c71 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras YOLOX: Exceeding YOLO Series in 2021

Reference 49

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source=pdf_text observed=2026-07-30T23:33:07.538833Z digest=sha256:bf95deca085a23a9d7b8fdd3899429d57e7272c1f6e2d42bd310ba6c4bbb04d2

Observation 129ff59d-41ca-40e1-bc04-52845f9a1fae · outbound

This paper cites Beyond classification: directly train- ing spiking neural networks for semantic segmentation.

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras Beyond classification: directly train- ing spiking neural networks for semantic segmentation

Reference 50

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Observation 045855e2-1bed-4137-b272-c444be47f35e · outbound

This paper cites 1.1 Computing’s energy problem (and what we can do about it).

Sequence-SOD: Bio-inspired Sequence-aware Spiking ObjectDetection for Event Cameras 1.1 Computing’s energy problem (and what we can do about it)

Reference 51

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Pith citing papers

No inbound Pith citation observations are available.