Paper Citation Record · LEDGER

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective

As of 20 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2507.09857.

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

pith.paper-citation-record.v1
2507.09857 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:51:02.711547Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T19:22:13.890495Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T23:05:48.100101Z

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy41
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 976d1d23-d26b-4216-9c29-ed541df36504 · outbound

This paper cites Physical and digital adversarial attacks on grasp quality networks.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Physical and digital adversarial attacks on grasp quality networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.795337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b6794167-cb63-4bb3-9f86-be1e625f9888 · outbound

This paper cites Vision-based safety system for barrierless human-robot collaboration.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Vision-based safety system for barrierless human-robot collaboration

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.773284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0019dbf-6206-4813-b04a-2e111bf42fae · outbound

This paper cites Bicchi and V.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Bicchi and V

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.752537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 00d1d821-357d-4e82-ad30-9755f7a1030f · outbound

This paper cites Towards evaluating the robustness of neural networks.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Towards evaluating the robustness of neural networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.733191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dd43f15f-86cb-4eb4-a451-ff87233cbd42 · outbound

This paper cites The intelligent techniques in robot kejia--the champion of robocup@ home 2014.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective The intelligent techniques in robot kejia--the champion of robocup@ home 2014

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.713969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e12a282f-4fa3-4b4b-83fa-c9c11519a190 · outbound

This paper cites Pybullet, a python module for physics simulation for games, robotics and machine learning.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Pybullet, a python module for physics simulation for games, robotics and machine learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.690295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3c6fa5eb-d19b-4f72-8abe-8df468a442ea · outbound

This paper cites On grasp choice, grasp models, and the design of hands for manufacturing tasks.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective On grasp choice, grasp models, and the design of hands for manufacturing tasks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.652563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dc2ed511-c252-403a-bacc-8ff6c2aa7acb · outbound

This paper cites Security for the robot operating system.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Security for the robot operating system

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.629314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 47e329fe-3e5f-4cbe-a927-9a8af62535e8 · outbound

This paper cites Boosting adversarial attacks with momentum.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Boosting adversarial attacks with momentum

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.605848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 97ca027a-360f-439a-995a-52524caf154e · outbound

This paper cites Graspnet-1billion: A large-scale benchmark for general object grasping.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Graspnet-1billion: A large-scale benchmark for general object grasping

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.585294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8a6cc0c0-c6df-47fc-9326-e14175f7f7b2 · outbound

This paper cites Robust grasping across diverse sensor qualities: The graspnet-1billion dataset.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Robust grasping across diverse sensor qualities: The graspnet-1billion dataset

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.563776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0b67e0e3-99c1-4724-bf70-ee2f39fd7873 · outbound

This paper cites Planning optimal grasps.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Planning optimal grasps

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.540276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5b24127a-3f61-41b9-921c-e16a0172ed2c · outbound

This paper cites Explaining and harnessing adversarial examples.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Explaining and harnessing adversarial examples

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.515033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1f5d4b8a-af8c-409d-82bb-b1e27b844f42 · outbound

This paper cites Detection of cyber-attacks to indoor real time localization systems for autonomous robots.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Detection of cyber-attacks to indoor real time localization systems for autonomous robots

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.488669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 83bfc902-a989-44f5-a120-5ae45435baaa · outbound

This paper cites Mean value coordinates for closed triangular meshes.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Mean value coordinates for closed triangular meshes

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.467813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ebf3c7e-1db7-4f5c-b60d-1506878fbd8a · outbound

This paper cites Analysis of binning of normals for spherical harmonic cross-correlation.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Analysis of binning of normals for spherical harmonic cross-correlation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.444467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 82688860-24eb-4b55-a9ef-baa0c4f20a9a · outbound

This paper cites GenDexGrasp: Generalizable Dexterous Grasping.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective GenDexGrasp: Generalizable Dexterous Grasping

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T17:51:02.509381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abb00cc5-af64-41cb-82f2-99cb2f24d3f5 · outbound

This paper cites Pointnetgpd: Detecting grasp configurations from point sets.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Pointnetgpd: Detecting grasp configurations from point sets

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.421207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c04bd33a-6b31-458b-90c5-5c8dead5cd01 · outbound

This paper cites Manipulation planning from demonstration via goal-conditioned prior action primitive decomposition and alignment.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Manipulation planning from demonstration via goal-conditioned prior action primitive decomposition and alignment

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.400122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d71f0586-086f-451d-8a07-655a772de421 · outbound

This paper cites Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Dex-net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.375557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f1753926-28cd-4752-b2ca-390a77550ab1 · outbound

This paper cites Dex-net 3.0: Computing robust vacuum suction grasp targets in point clouds using a new analytic model and deep learning.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Dex-net 3.0: Computing robust vacuum suction grasp targets in point clouds using a new analytic model and deep learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.344279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f9cc6931-e91d-4883-a79e-1048bb932cb2 · outbound

This paper cites Robot Hands and the Mechanics of Manipulation.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Robot Hands and the Mechanics of Manipulation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.318550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d62f00c5-b38b-4268-9afc-7c42dd43ed36 · outbound

This paper cites Benchmarking grasping and manipulation: Properties of the objects of daily living.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Benchmarking grasping and manipulation: Properties of the objects of daily living

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.296009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ed8da0ce-56aa-4a2f-ad38-b50348f3d2af · outbound

This paper cites Tros: Protecting humanoids ros from privileged attackers.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Tros: Protecting humanoids ros from privileged attackers

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.276807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b45a53f5-b86a-4769-a7a6-ee6180653355 · outbound

This paper cites Dynamic projection of human motion for safe and efficient human-robot collaboration.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Dynamic projection of human motion for safe and efficient human-robot collaboration

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.254692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b3d789d-3625-43ea-9fb5-8d260a5aeba1 · outbound

This paper cites Deepfool: a simple and accurate method to fool deep neural networks.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Deepfool: a simple and accurate method to fool deep neural networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.233300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0ab86d63-aec1-4c3a-b4b6-c13fca2cf720 · outbound

This paper cites Textattack: A framework for adversarial attacks, data augmentation, and adversarial training in nlp.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Textattack: A framework for adversarial attacks, data augmentation, and adversarial training in nlp

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.213061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation da868dad-c1f6-41ef-b356-bd5cfcb6e285 · outbound

This paper cites Springer handbook of robotics , volume 200.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Springer handbook of robotics , volume 200

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.188038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68d45a34-5745-4a08-89ac-977bed74815f · outbound

This paper cites Intriguing properties of neural networks.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Intriguing properties of neural networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.163514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2fc46fe1-1768-4213-9242-8f0d5cd0278d · outbound

This paper cites Rethinking perturbation directions for imperceptible adversarial attacks on point clouds.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Rethinking perturbation directions for imperceptible adversarial attacks on point clouds

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.141145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 92016594-7629-429e-bbad-ac129b41159c · outbound

This paper cites Deep manifold attack on point clouds via parameter plane stretching.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Deep manifold attack on point clouds via parameter plane stretching

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.118929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f1576e4b-c80d-4d76-b294-7f63baea881e · outbound

This paper cites Manifold constraints for imperceptible adversarial attacks on point clouds.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Manifold constraints for imperceptible adversarial attacks on point clouds

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.096889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d64f7ecf-4a90-48fd-8c57-9824f24b881c · outbound

This paper cites Flat: Flux-aware imperceptible adversarial attacks on 3d point clouds.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Flat: Flux-aware imperceptible adversarial attacks on 3d point clouds

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.074872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 27974985-e657-49e9-b9cf-8c92269820c1 · outbound

This paper cites Effective single-step adversarial training with energy-based models.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Effective single-step adversarial training with energy-based models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.047687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aaf0c633-8122-4b16-8329-cb3fd7f09d51 · outbound

This paper cites Symattack: Symmetry-aware imperceptible adversarial attacks on 3d point clouds.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Symattack: Symmetry-aware imperceptible adversarial attacks on 3d point clouds

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.025273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c69558a-3906-4ff7-848a-bcd998d76e7f · outbound

This paper cites Imperceptible 3d point cloud attacks on lattice-based barycentric coordinates.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Imperceptible 3d point cloud attacks on lattice-based barycentric coordinates

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:03.004923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 39a5f1c7-267d-41c1-82f4-e3e81cf70df4 · outbound

This paper cites Imperceptible adversarial attacks on point clouds guided by point-to-surface field.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Imperceptible adversarial attacks on point clouds guided by point-to-surface field

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:02.975955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c28dad16-bc54-49dd-94a2-d06b6c1fb111 · outbound

This paper cites Adversarial grasp objects.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Adversarial grasp objects

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:02.949280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ab707b8b-93a6-4051-a90e-e61959b2d9fe · outbound

This paper cites Eia: Edge-aware imperceptible adversarial attacks on 3d point clouds.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Eia: Edge-aware imperceptible adversarial attacks on 3d point clouds

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:02.922922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c02da949-b2d3-4540-9a31-18d482e7a7c2 · outbound

This paper cites Qi, and Bo Li.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Qi, and Bo Li

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:02.897885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c9f24d0a-0862-4f97-9f9f-0908646de541 · outbound

This paper cites Robotics cyber security: Vulnerabilities, attacks, countermeasures, and recommendations.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Robotics cyber security: Vulnerabilities, attacks, countermeasures, and recommendations

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:02.872955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7ff8761a-9a4a-48a1-8874-1fa0fb1a0a1e · outbound

This paper cites Black-box adversarial attacks on commercial speech platforms with minimal information.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective Black-box adversarial attacks on commercial speech platforms with minimal information

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:51:02.846717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b1600027-f099-4acb-b624-142cc766b1be · outbound

This paper cites write newline.

AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective write newline

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T17:51:02.711547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5c660ba5-8564-4919-89ae-372deaea03b7 · inbound

JailWAM: Jailbreaking World Action Models in Robot Control cites this paper.

JailWAM: Jailbreaking World Action Models in Robot Control AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:05:48.101835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.