Paper Citation Record · LEDGER

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection

As of 5 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2605.17822.

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

pith.paper-citation-record.v1
2605.17822 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T12:29:51.519809Z

measured 43 of 43 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 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

43 of 43 outbound references displayed

verified exact3
verified fuzzy40
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c64891e9-f7f0-433e-bede-2433f2a9677d · outbound

This paper cites K., Sarkar, S., and Das, T.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection K., Sarkar, S., and Das, T

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.606739Z

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.

Observation 0f5ea793-2907-439f-aa2b-5c1db8e35623 · outbound

This paper cites Yolo-ms: Rethinking multi-scale representation learning for real-time object detection.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Yolo-ms: Rethinking multi-scale representation learning for real-time object detection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.596884Z

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.

Observation a67a656b-9ffc-4f21-9887-efb051345746 · outbound

This paper cites Shape matters: deformable patch attack.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Shape matters: deformable patch attack

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.610829Z

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.

Observation 93ec3644-ae92-4417-99e0-921cdefbd4a6 · outbound

This paper cites Full-distance evasion of pedestrian detectors in the physical world.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Full-distance evasion of pedestrian detectors in the physical world

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.579561Z

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.

Observation 8592f765-b322-4014-8ece-fe8086a0737e · outbound

This paper cites A., Alouani, I., and Shafique, M.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection A., Alouani, I., and Shafique, M

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.608733Z

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.

Observation bee94e24-3071-456f-8a31-7ba7deab130c · outbound

This paper cites S., Chen, J.-C., Hua, K.-L., and Cheng, W.-H.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection S., Chen, J.-C., Hua, K.-L., and Cheng, W.-H

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.583509Z

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.

Observation 0a5ba7bc-176c-46d7-8d1a-71f9a2dbb6b7 · outbound

This paper cites Adversarial texture for fooling person detectors in the physical world.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Adversarial texture for fooling person detectors in the physical world

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.612661Z

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.

Observation 98997a40-bf7c-4e54-8fa3-dafa50586b16 · outbound

This paper cites Physically realizable natural-looking clothing textures evade person detectors via 3d modeling.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Physically realizable natural-looking clothing textures evade person detectors via 3d modeling

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.577622Z

Source-reported events for the cited work

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Observation d69801e6-6179-4c91-8d59-ab637d605a9d · outbound

This paper cites Llvip: A visible-infrared paired dataset for low-light vision.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Llvip: A visible-infrared paired dataset for low-light vision

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.585796Z

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.

Observation c086ca3b-f2aa-4ff3-8e36-4d35a6766997 · outbound

This paper cites Ultralytics YOLO , January 2023.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Ultralytics YOLO , January 2023

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.572333Z

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.

Observation e168e9bd-c929-4d41-b3c4-f31640b86508 · outbound

This paper cites C., Lo, W.-Y., et al.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection C., Lo, W.-Y., et al

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.594926Z

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.

Observation 4f4fa54b-8ee3-4824-b39c-74e90e1b0837 · outbound

This paper cites Focal loss for dense object detection.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Focal loss for dense object detection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.614527Z

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.

Observation b85d7cb9-f317-4ce4-a9d5-65f7f280555c · outbound

This paper cites and Fu, K.-S.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection and Fu, K.-S

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.587727Z

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.

Observation d34dba1e-b2e4-44b3-8712-91dfa88da6b0 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection YOLOv3: An Incremental Improvement

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:33:16.913303Z

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.

Observation 243b147b-2e70-4a62-8c0a-2ecf956e6020 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.593087Z

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.

Observation bc735a64-42fc-4bb3-8b53-d022899fcb9c · outbound

This paper cites Fooling automated surveillance cameras: adversarial patches to attack person detection.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Fooling automated surveillance cameras: adversarial patches to attack person detection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.600876Z

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.

Observation 0d1e6174-8c3e-4fd1-a0a4-c4e801efb55f · outbound

This paper cites Adversarial obstacle generation against lidar-based 3d object detection.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Adversarial obstacle generation against lidar-based 3d object detection

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.581772Z

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.

Observation ca8b8c38-913e-4552-987f-d0551787bb87 · outbound

This paper cites Toward robust lidar-camera fusion in bev space via mutual deformable attention and temporal aggregation.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Toward robust lidar-camera fusion in bev space via mutual deformable attention and temporal aggregation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.666717Z

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.

Observation bfac7e99-e84f-422e-b9ed-a89949f54d50 · outbound

This paper cites Invisible triggers, visible threats! road-style adversarial creation attack for visual 3d detection in autonomous driving.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Invisible triggers, visible threats! road-style adversarial creation attack for visual 3d detection in autonomous driving

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:33:16.910735Z

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.

Observation 871fc403-e4fa-46ac-990e-b243cd34879b · outbound

This paper cites A unified framework for adversarial patch attacks against visual 3d object detection in autonomous driving.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection A unified framework for adversarial patch attacks against visual 3d object detection in autonomous driving

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.650055Z

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.

Observation 94c4d37f-b9b6-4e2b-9d45-2b6f80052818 · outbound

This paper cites Physically realizable adversarial creating attack against vision-based bev space 3d object detection.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Physically realizable adversarial creating attack against vision-based bev space 3d object detection

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.652298Z

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.

Observation 67adc1f9-77fc-46bc-8cd8-6a86bb84f977 · outbound

This paper cites Learning fourier shapes to probe the geometric world of deep neural networks.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Learning fourier shapes to probe the geometric world of deep neural networks

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:33:16.907474Z

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.

Observation b5fadec6-3349-42fc-a680-c0fae6985ede · outbound

This paper cites Badpatch: Diffusion-based generation of physical adversarial patches.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Badpatch: Diffusion-based generation of physical adversarial patches

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.642151Z

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.

Observation dbfe08db-2e35-4bf7-99b2-b73aac114fa4 · outbound

This paper cites Hotcold block: Fooling thermal infrared detectors with a novel wearable design.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Hotcold block: Fooling thermal infrared detectors with a novel wearable design

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.655668Z

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.

Observation 970a3be3-4a77-43b2-a92d-5ce622b23870 · outbound

This paper cites Physical adversarial attack meets computer vision: A decade survey.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Physical adversarial attack meets computer vision: A decade survey

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.657563Z

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.

Observation 61142d55-9536-4063-b939-ab4331baae1e · outbound

This paper cites Unified adversarial patch for cross-modal attacks in the physical world.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Unified adversarial patch for cross-modal attacks in the physical world

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.640136Z

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.

Observation 03996e65-24df-49c7-8f4d-f6266bc78b6a · outbound

This paper cites Unified adversarial patch for visible-infrared cross-modal attacks in the physical world.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Unified adversarial patch for visible-infrared cross-modal attacks in the physical world

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.644127Z

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.

Observation e6a04aa5-c9c5-4e55-a6ab-7219be904f9b · outbound

This paper cites Physically adversarial infrared patches with learnable shapes and locations.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Physically adversarial infrared patches with learnable shapes and locations

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.648036Z

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.

Observation 77f0bc8d-0517-4df9-b6b3-e6ea9c91df95 · outbound

This paper cites Infrared adversarial patches with learnable shapes and locations in the physical world.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Infrared adversarial patches with learnable shapes and locations in the physical world

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.664635Z

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.

Observation 2974f524-db62-4938-8a60-a635097a0c20 · outbound

This paper cites Real-world adversarial defense against patch attacks based on diffusion model.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Real-world adversarial defense against patch attacks based on diffusion model

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.636003Z

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.

Observation 977b25bc-98da-4f29-b651-98e2bd7ede7b · outbound

This paper cites Sam as the guide: mastering pseudo-label refinement in semi-supervised referring expression segmentation.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Sam as the guide: mastering pseudo-label refinement in semi-supervised referring expression segmentation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.638108Z

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.

Observation 5bb59d21-3af3-4223-a617-e1b699bd470a · outbound

This paper cites Resolution adaptive networks for efficient inference.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Resolution adaptive networks for efficient inference

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.620288Z

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.

Observation 2892ef2a-d97b-4725-a7bf-a72a219e5bf1 · outbound

This paper cites Condensenet v2: Sparse feature reactivation for deep networks.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Condensenet v2: Sparse feature reactivation for deep networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.660818Z

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.

Observation 02de68ca-b109-40f2-82c2-fc9254d7670f · outbound

This paper cites A unified framework for generating diverse and stealthy adversarial patches against aerial object detection.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection A unified framework for generating diverse and stealthy adversarial patches against aerial object detection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.631651Z

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.

Observation a1ec67c1-7a9c-470e-aaf3-6b64e2e2137a · outbound

This paper cites Omni-angle assault: An invisible and powerful physical adversarial attack on face recognition.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Omni-angle assault: An invisible and powerful physical adversarial attack on face recognition

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.633793Z

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.

Observation 6657beda-497a-4788-8d7e-2ff3da2cfd86 · outbound

This paper cites A comparative study of fourier descriptors for shape representation and retrieval.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection A comparative study of fourier descriptors for shape representation and retrieval

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.646155Z

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.

Observation fe29b4af-c994-4ce6-919f-1dc2b887018f · outbound

This paper cites Generalizable multi-camera 3d object detection from a single source via fourier cross-view learning.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Generalizable multi-camera 3d object detection from a single source via fourier cross-view learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.624493Z

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.

Observation 470adf2e-9a0c-4f5b-9fc4-719f2ce52b78 · outbound

This paper cites Image fusion via vision-language model.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Image fusion via vision-language model

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.616496Z

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.

Observation f37ecefa-d80a-4a56-8f92-51f55b7cae6e · outbound

This paper cites Physical 3d adversarial attacks against monocular depth estimation in autonomous driving.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Physical 3d adversarial attacks against monocular depth estimation in autonomous driving

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.618395Z

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.

Observation bfadbd73-241d-4c56-8cd2-b57401b5dfbb · outbound

This paper cites Rauca: a novel physical adversarial attack on vehicle detectors via robust and accurate camouflage generation.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Rauca: a novel physical adversarial attack on vehicle detectors via robust and accurate camouflage generation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.626470Z

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.

Observation 231c6f6d-84c8-4f83-957e-98b6dbe9033a · outbound

This paper cites Fooling thermal infrared pedestrian detectors in real world using small bulbs.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Fooling thermal infrared pedestrian detectors in real world using small bulbs

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.668746Z

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.

Observation 1863e68e-cd97-4c31-9c38-2853269b7cbb · outbound

This paper cites Infrared invisible clothing: Hiding from infrared detectors at multiple angles in real world.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Infrared invisible clothing: Hiding from infrared detectors at multiple angles in real world

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.622588Z

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.

Observation fcc31210-c8f8-4d4d-9929-80ccb85443cc · outbound

This paper cites Infrared adversarial car stickers.

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection Infrared adversarial car stickers

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T12:33:17.662693Z

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.

Pith citing papers

No inbound Pith citation observations are available.