Paper Citation Record · LEDGER

Physical Adversarial Camouflage through Gradient Calibration and Regularization

As of 19 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2508.05414.

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

pith.paper-citation-record.v1
2508.05414 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:27:16.751408Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:10:58.135925Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

verified exact1
verified fuzzy28
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 46874ea2-f477-464c-a419-d25dd7287fd3 · outbound

This paper cites End-to-end object detection with transformers.

Physical Adversarial Camouflage through Gradient Calibration and Regularization End-to-end object detection with transformers

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:17.090905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f499a23-7ba8-4b6b-9ee8-999be54031ac · outbound

This paper cites CARLA: An open urban driving simulator.

Physical Adversarial Camouflage through Gradient Calibration and Regularization CARLA: An open urban driving simulator

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:17.072776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 426d69d3-2f2e-4b67-9944-6f29066a9204 · outbound

This paper cites The pascal visual object classes challenge: A retrospective.

Physical Adversarial Camouflage through Gradient Calibration and Regularization The pascal visual object classes challenge: A retrospective

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:17.054041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1930b9ff-e4ae-4617-9180-0165a72bb1d2 · outbound

This paper cites Fast r-cnn.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Fast r-cnn

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:17.035830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6cbe3095-c997-4899-81dd-33c3989ecc7a · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Explaining and Harnessing Adversarial Examples

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T23:27:16.668924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98ce5f04-ab9a-4806-a785-018fd9f66c39 · outbound

This paper cites Neural 3d mesh renderer.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Neural 3d mesh renderer

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:17.019698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0e2faf39-a14c-4e97-bea2-71fe4d5135b4 · outbound

This paper cites Generate more imperceptible adversarial ex- amples for object detection.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Generate more imperceptible adversarial ex- amples for object detection

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.994443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66087b96-00db-43db-a687-85191a510976 · outbound

This paper cites Exploring inconsis- tent knowledge distillation for object detection with data augmentation.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Exploring inconsis- tent knowledge distillation for object detection with data augmentation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.985453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e1ee488e-c819-43e1-a151-64c3ec501102 · outbound

This paper cites Object Detectors in the Open Environment: Challenges, Solutions, and Outlook.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Object Detectors in the Open Environment: Challenges, Solutions, and Outlook

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T23:27:16.695316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22ba6fd3-6ffe-4ac4-8072-d56aa9ea1d24 · outbound

This paper cites Vl-trojan: Multimodal instruction backdoor attacks against autoregressive visual language models.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Vl-trojan: Multimodal instruction backdoor attacks against autoregressive visual language models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.977129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1eeed012-39bc-47de-85ad-8412005f2c3b · outbound

This paper cites YOLOv3: An Incremental Improvement.

Physical Adversarial Camouflage through Gradient Calibration and Regularization YOLOv3: An Incremental Improvement

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T23:27:16.710778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4591cc1d-a86f-4e6d-8fd9-440c83eae277 · outbound

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

Physical Adversarial Camouflage through Gradient Calibration and Regularization Faster r-cnn: Towards real-time ob- ject detection with region proposal networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.942654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1339c8f2-9e94-4635-8e51-15a7be2da20b · outbound

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

Physical Adversarial Camouflage through Gradient Calibration and Regularization Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.934166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 29760423-0645-4e96-b9b4-6dfdb09043dd · outbound

This paper cites DTA: Physical Camouflage Attacks Using Differentiable Transformation Network.

Physical Adversarial Camouflage through Gradient Calibration and Regularization DTA: Physical Camouflage Attacks Using Differentiable Transformation Network

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.926211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 08311e15-69bb-4a53-b546-6e8614489e81 · outbound

This paper cites ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Ve- hicle Evasion.

Physical Adversarial Camouflage through Gradient Calibration and Regularization ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Ve- hicle Evasion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.917353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5edc0aed-92cd-4c5c-ac87-83436b09311a · outbound

This paper cites Goodfellow, and Rob Fergus.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Goodfellow, and Rob Fergus

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.908840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a02bcf73-a696-4330-93ea-16c5ee50faa0 · outbound

This paper cites Fca: Learning a 3d full-coverage vehicle camouflage for multi-view physical adversarial attack.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Fca: Learning a 3d full-coverage vehicle camouflage for multi-view physical adversarial attack

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.899994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fce8aa18-4106-4f5b-9a88-529d22a022dc · outbound

This paper cites Transferable Adversarial Attacks for Image and Video Object Detection.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Transferable Adversarial Attacks for Image and Video Object Detection

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T23:27:16.733195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da2ad3e7-b1c3-418d-98e5-9c3e6d286543 · outbound

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

Physical Adversarial Camouflage through Gradient Calibration and Regularization Physical adversarial attack meets computer vision: A decade survey

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.890098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c3b6ea26-c0ae-4a0b-b9a4-2037714428e3 · outbound

This paper cites Real-time kd-tree construction on graph- ics hardware.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Real-time kd-tree construction on graph- ics hardware

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.881196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 933663af-bd89-46a6-a5b7-33f6f860859a · outbound

This paper cites Deformable DETR: De- formable Transformers for End-to-End Object Detection.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Deformable DETR: De- formable Transformers for End-to-End Object Detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.872122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d20ad3c4-3f69-45a2-b00d-fbe481c9381a · outbound

This paper cites {TPatch}: A triggered physical adversarial patch.

Physical Adversarial Camouflage through Gradient Calibration and Regularization {TPatch}: A triggered physical adversarial patch

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.862428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3666dbf3-f5bf-4637-bc90-7e8991284ee9 · outbound

This paper cites Object detection in 20 years: A survey.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Object detection in 20 years: A survey

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.852425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cfa4c5b3-3264-4927-8b47-4d363e7ac66a · outbound

This paper cites RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation.

Physical Adversarial Camouflage through Gradient Calibration and Regularization RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation

Reference 2008

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:27:16.779123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66604a1f-f7f4-4709-97ad-ded26d22ea39 · outbound

This paper cites Efficient adversarial attacks for visual object tracking.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Efficient adversarial attacks for visual object tracking

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:17.003099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 153a8094-f503-4a96-b43f-31abdcb4bb64 · outbound

This paper cites Mask r-cnn.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Mask r-cnn

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:17.027757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2afa9f11-14b8-4d36-9a68-9e8a2b0e5055 · outbound

This paper cites YOLOX: Exceeding YOLO Series in.

Physical Adversarial Camouflage through Gradient Calibration and Regularization YOLOX: Exceeding YOLO Series in

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:17.044885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d71e321b-3fce-451c-81c3-d84502dda6af · outbound

This paper cites {X-Adv}: Physical adversarial object attacks against x-ray prohibited item detection.

Physical Adversarial Camouflage through Gradient Calibration and Regularization {X-Adv}: Physical adversarial object attacks against x-ray prohibited item detection

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.958708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 73ac68d9-fa4d-4d9a-a5b7-53a9e7d34de3 · outbound

This paper cites Centernet: Keypoint triplets for object detection.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Centernet: Keypoint triplets for object detection

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:17.063397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f99e0a75-03c1-4ceb-9a1e-55bf6b96a24c · outbound

This paper cites Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-05T23:27:16.677578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24f8a5a1-97c3-4e37-83b3-5c637f29eb7f · outbound

This paper cites Moderngl, high perfor- mance python bindings for opengl 3.3+.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Moderngl, high perfor- mance python bindings for opengl 3.3+

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:17.082299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cacd8c97-7858-4c73-966b-47085c4d5579 · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

Physical Adversarial Camouflage through Gradient Calibration and Regularization MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-05T23:27:16.643508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77b52fc8-dca5-4cbe-be09-a368cdc53ff5 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Physical Adversarial Camouflage through Gradient Calibration and Regularization YOLOX: Exceeding YOLO Series in 2021

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T23:27:16.662274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac66848a-75df-49cf-ad9e-6c76115f3964 · outbound

This paper cites Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T23:27:16.689453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9508c1f-affe-48ca-a634-f4648ec5b684 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Towards deep learning models resistant to adversarial attacks

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.950470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0534d708-280e-44e0-b749-815fa2f1aa8d · outbound

This paper cites Gram-schmidt orthogonalization: 100 years and more.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Gram-schmidt orthogonalization: 100 years and more

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:17.011448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6066994-22ac-4fb0-b9ff-94e41995e6b4 · outbound

This paper cites Ssd: Single shot multibox detector.

Physical Adversarial Camouflage through Gradient Calibration and Regularization Ssd: Single shot multibox detector

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:27:16.967351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 5d0cca62-612e-4431-a5a5-a44ae497be9a · inbound

AdvSerial: Physical Adversarial Attacks on Infrastructure-mounted Pedestrian Detectors via Semantic Feature Suppression cites this paper.

AdvSerial: Physical Adversarial Attacks on Infrastructure-mounted Pedestrian Detectors via Semantic Feature Suppression Physical Adversarial Camouflage through Gradient Calibration and Regularization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T19:10:58.135925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.