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Paper Citation Record · LEDGER

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection

As of 20 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.09115.

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

pith.paper-citation-record.v1
2607.09115 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T15:21:19.692521Z

measured 32 of 32 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

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Outbound references

Observation 7bd759b0-3eea-45c0-84b8-b54ea3f94cfc · outbound

This paper cites Adversarial attacks on event-based pedestrian detectors: A physical approach,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Adversarial attacks on event-based pedestrian detectors: A physical approach,

Reference 1

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:ea0b9d168bae4ca3a2dc9786ee32ed683c1f8ef6570e56fea38fdb13ec812e79

Observation 9ea1af50-4714-4e64-a78b-bb1a95b5e316 · outbound

This paper cites Toward ensuring safety for autonomous driving perception: Standardization progress, research advances, and perspectives,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Toward ensuring safety for autonomous driving perception: Standardization progress, research advances, and perspectives,

Reference 2

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Observation 05c1ac73-f49b-4898-8c79-8232b6f811ef · outbound

This paper cites Robotic vision for human-robot interaction and collaboration: A survey and systematic review,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Robotic vision for human-robot interaction and collaboration: A survey and systematic review,

Reference 3

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Observation 8878ece4-d293-48db-8089-79174b956f10 · outbound

This paper cites Autonomous uav navigation using deep learning-based computer vision frameworks: A systematic literature review,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Autonomous uav navigation using deep learning-based computer vision frameworks: A systematic literature review,

Reference 4

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:458040f2e3e488fdcd24340140f9cd20cd3289b30e416aa9250a134fc1e3bd26

Observation 5fb2ae12-0506-453b-b61b-6f0aea0c4391 · outbound

This paper cites The tail at scale,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection The tail at scale,

Reference 5

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:834214e58cb9774a98cc03a810da32a7c87c1750893e094663599e7ac3cbce43

Observation 0a6af942-5563-454b-91f9-5af3d0c34226 · outbound

This paper cites Edge computing: Vision and challenges,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Edge computing: Vision and challenges,

Reference 6

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:4dbe3cebf2687662caae1ad68ccd00b7a8cab4d19c8f06840de403f2e661f00c

Observation 12f74c9d-6d47-4d61-a3a4-1d0d1f8dc512 · outbound

This paper cites Gemel: Model merging for memory-efficient, real-time video analytics at the edge,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Gemel: Model merging for memory-efficient, real-time video analytics at the edge,

Reference 7

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Observation dc0a4bbf-0f89-4e0b-bf13-467f9b42f1d0 · outbound

This paper cites Pantheon: Preemptible multi-dnn inference on mobile edge gpus,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Pantheon: Preemptible multi-dnn inference on mobile edge gpus,

Reference 8

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:3008e5db817975805ffdc4d41cb2b070aaae651678eb88788db0ab1101a04cf4

Observation f6527250-4223-4ddb-b03d-fc1adfe7dab5 · outbound

This paper cites Towards spike-based machine intelligence with neuro- morphic computing,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Towards spike-based machine intelligence with neuro- morphic computing,

Reference 9

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:d1b93c62f23fc4c4ce8dc1fac057e8a869b970b09a202179e2080c7a88c0864f

Observation 37eff04d-3b41-4f72-b36e-d1fa47bcf27a · outbound

This paper cites Spatio-temporal backpropagation for training spiking neural networks,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Spatio-temporal backpropagation for training spiking neural networks,

Reference 10

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:d302f02ea7b78e6eb7fd78eed2b8c7ea428a30ab338791431fcd4341bd2c123d

Observation 90ec281e-a65a-4711-bea0-fb778fbcf825 · outbound

This paper cites Hire-snn: Harnessing the inherent robustness of energy-efficient deep spiking neural networks by training with crafted input noise,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Hire-snn: Harnessing the inherent robustness of energy-efficient deep spiking neural networks by training with crafted input noise,

Reference 11

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:a6ee396e18f2e0a8d699a35e8c843d44883ba81834ae14cc3abfc324645065b5

Observation c8433e1b-2cbe-4c17-aa29-58fbf20e9498 · outbound

This paper cites Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection

Reference 12

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:9103dac7ca663996a3283bda459b295bbcc4849020b12dd8c7d036c88eece952

Observation 0612c516-4296-4974-ae27-1c5247f44085 · outbound

This paper cites Sponge Examples: Energy-Latency Attacks on Neural Networks.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Sponge Examples: Energy-Latency Attacks on Neural Networks

Reference 13

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:91487aff18b4307524f89d4e283520771efa413ebed1b12c3287eafc583a2306

Observation 66e61fe5-a1a8-426a-a9c0-0a4607c075df · outbound

This paper cites Sponge backdoor attack: Increasing the latency of object detection exploiting non-maximum suppression,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Sponge backdoor attack: Increasing the latency of object detection exploiting non-maximum suppression,

Reference 14

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:aecf8e54bc13c92775839f17f4826a1cea045599c31c762b17a7d01e28835ce1

Observation 8254d6d9-db04-4a42-b372-2e342927e949 · outbound

This paper cites Phantom sponges: Exploiting non-maximum suppres- sion to attack deep object detectors,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Phantom sponges: Exploiting non-maximum suppres- sion to attack deep object detectors,

Reference 15

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:509a624b3c827296e0b67140cf3e9ed59075c52c769b4382127f9ec230ada376

Observation e5ceb59c-f91e-471d-b5af-9b48c39d4910 · outbound

This paper cites Overload: Latency attacks on object detection for edge devices,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Overload: Latency attacks on object detection for edge devices,

Reference 16

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:7007a05e0721c6d4912b03bf202dedc942528499c9f6ed56f9ff6f7f6fe2a7f8

Observation cd264b6f-4c63-4ffb-ae48-1f844f31bd4c · outbound

This paper cites Strip: A defence against trojan attacks on deep neural networks,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Strip: A defence against trojan attacks on deep neural networks,

Reference 17

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Observation 0ad1757f-f8da-400f-87e0-da6c3dfdff07 · outbound

This paper cites Event-based vision: A survey,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Event-based vision: A survey,

Reference 18

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:e92f6badb774b5a781d0fccf901814f5c247040af593f44c7f8bcd16bf892311

Observation 7b6bb216-84ef-49f5-bf75-77cd7a161399 · outbound

This paper cites Daedalus: Breaking nonmaximum suppression in object detection via adversarial examples,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Daedalus: Breaking nonmaximum suppression in object detection via adversarial examples,

Reference 19

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Observation e092c7f9-dac8-479f-9519-82c5dd233e1d · outbound

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

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Networks of spiking neurons: The third generation of neural network models,

Reference 20

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:fff4869e25a2e5d90a587c11751841c4060c75223cad08b2cbddb79ab454aa24

Observation 38054cbe-1cd5-4c35-97fd-b2eeb614f6a8 · outbound

This paper cites Effi- ciency attacks on spiking neural networks,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Effi- ciency attacks on spiking neural networks,

Reference 21

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:63a74ab86f9db88d2c9a21bd610d7132e5505423aba947deb5b65736ba79f990

Observation 6e60f6c9-ef9f-468a-b57f-9aee7fb7b0c7 · outbound

This paper cites Fast and efficient information transmission with burst spikes in deep spiking neural networks,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Fast and efficient information transmission with burst spikes in deep spiking neural networks,

Reference 22

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Observation ddaf5223-a53c-4d5e-8568-c8745edc1a6b · outbound

This paper cites Sparseprop: Efficient event-based simulation and training of sparse recurrent spiking neural networks,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Sparseprop: Efficient event-based simulation and training of sparse recurrent spiking neural networks,

Reference 23

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:2badb9f293fbead5ac6dd0e4c6b96b1235c2da653302726ad8034ef2280673e0

Observation e2a35e85-4810-4094-86a7-0439d35e68b6 · outbound

This paper cites Ultralytics yolov8,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Ultralytics yolov8,

Reference 24

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:9b1719ee099440185c0d61e357c6052b59d13f692a19fd40e8a6a3ddf44c2b99

Observation f00e678a-780b-49e3-9da0-af2e84df2991 · outbound

This paper cites Soft-nms: Improving object detection with one line of code,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Soft-nms: Improving object detection with one line of code,

Reference 25

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:dd74a2fcf495f2ac5f5fcb91e4cdca0c85dccbf79ec53847ddba98ec57c53849

Observation 21d8069b-bb24-406f-937e-44be25d61e54 · outbound

This paper cites Denial of service via algorithmic complexity attacks,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Denial of service via algorithmic complexity attacks,

Reference 26

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:9684288a936b24d814ffd81cbdcbc60cdcb27af56005ca616a3ff22d2d937d98

Observation cc71b557-b04e-46fa-b2b8-d40ee9d99ad2 · outbound

This paper cites Learning non-maximum suppression,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Learning non-maximum suppression,

Reference 27

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:50237f47ac2d451c350744c38b08abc93c66d14404da8dcdd4b7b5536d1c29a0

Observation a13f3bb7-43c5-4533-b6d7-d23994910cd9 · outbound

This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 28

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:d5bc7229e191761f11de736297a3f0ebf3d48a4ee2910f45e1107b70e1e510f8

Observation e15f22b4-2432-499a-831f-614045070499 · outbound

This paper cites Poster: Backdoor attacks on spiking nns and neuromor- phic datasets,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Poster: Backdoor attacks on spiking nns and neuromor- phic datasets,

Reference 29

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:212834932f9a4ebd069ab13a5d0e3ed78bdeb84463b504fa3ae64e9b2f643999

Observation f9ac200e-f39f-442a-8fb2-079a9c8c57d1 · outbound

This paper cites Sok: Efficiency robustness of dynamic deep learning systems,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Sok: Efficiency robustness of dynamic deep learning systems,

Reference 30

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:b83bcb47adb0bc8c8ad549ac17b016f71c0b268be250e03c4b7aa79bb3fb620e

Observation 4d7e14b1-f46f-4ade-a066-81b419d156af · outbound

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

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection A Large Scale Event-based Detection Dataset for Automotive

Reference 31

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:dc0a84f3ca28bffae253c2d9dbe27650219ea006ffaedea07d852b377e2a4cb6

Observation b42d4079-d33b-467c-87b1-1cb5923cf1eb · outbound

This paper cites Jetson orin nano developer kit user guide,.

Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection Jetson orin nano developer kit user guide,

Reference 32

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source=pdf_text observed=2026-07-14T15:21:19.692521Z digest=sha256:01a4a587f163864521ef89205915ab195bf9a21537a38855828994e6f2e2b66c

Pith citing papers

No inbound Pith citation observations are available.