Pith. sign in

Paper Citation Record · LEDGER

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles

As of 19 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2509.05332.

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

pith.paper-citation-record.v1
2509.05332 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:04:00.015044Z

measured 20 of 20 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 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

20 of 20 outbound references displayed

  • verified exact7
  • verified fuzzy8
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec079207-e8f2-433e-9cd7-ffc41dfe8260 · outbound

This paper cites Vehicle-to-Everything Cooperative Perception for Autonomous Driving.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T13:03:59.957005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:03:59.957005Z digest=sha256:a6c717259da6998d2668f75bbd8e07ce9349cd1c4584b67a814e866a74eaa396

Observation ca348c3c-799c-42f3-ac05-66a55f4a138f · outbound

This paper cites AdvGPS: Adversarial GPS for Multi-Agent Perception Attack.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles AdvGPS: Adversarial GPS for Multi-Agent Perception Attack

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:04:00.591715Z

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.

source=pdf_text observed=2026-08-05T13:03:59.961238Z digest=sha256:1def13ba23bd88a6bd2cd754a0a418e77a753b58f54953c9959987a2b846f330

Observation ab159e56-ce8b-44ba-a534-60ac93e54246 · outbound

This paper cites ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLA.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLA

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:04:00.578070Z

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.

source=pdf_text observed=2026-08-05T13:03:59.964972Z digest=sha256:6999f1579f5cababd4cc38ea971a47b88e1be6b7fe775700f8476663ac4bc3dd

Observation 5fde4b3d-9e31-45d9-9df9-f59366031774 · outbound

This paper cites Simutack - An Attack Simulation Framework for Connected and Autonomous Vehicles,.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles Simutack - An Attack Simulation Framework for Connected and Autonomous Vehicles,

Reference 4

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:04:00.563058Z

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.

source=pdf_text observed=2026-08-05T13:03:59.968422Z digest=sha256:7cf2a2a54b4e5a1d1a7f5fd5cc56d713b7d650f99bda7bcb7d9e8e0998cd13cc

Observation 9000ab92-b997-4e1e-83cd-e9d2372c7d2d · outbound

This paper cites V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception,.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception,

Reference 5

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:04:00.495181Z

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.

source=pdf_text observed=2026-08-05T13:03:59.971640Z digest=sha256:1f63a1a63ba1751361d3e9b6aa2610cee877913b4a920464c238020ed27af1ff

Observation 79d4f5b4-20dd-43ba-aa7b-80fef9d15a60 · outbound

This paper cites CARLA: An Open Urban Driving Simulator.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles CARLA: An Open Urban Driving Simulator

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T13:03:59.974640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:03:59.974640Z digest=sha256:9634e6254c094e4d656f5be773fc071ba13033f1cdd0e7c819377838112d857e

Observation 1d4d8bd6-a4ee-4e73-96ef-e19757b57696 · outbound

This paper cites Robot operating system 2: Design, architecture, and uses in the wild,.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles Robot operating system 2: Design, architecture, and uses in the wild,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T13:03:59.978419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:03:59.978419Z digest=sha256:7f957880dd32bf33455dd3a1209781f537d92be814e25a7f124b47f68ea3b917

Observation 0835e066-2c78-45f2-b544-46ce90443471 · outbound

This paper cites Open- Source Integrated Simulation Framework for Cooperative Autonomous Vehicles,.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles Open- Source Integrated Simulation Framework for Cooperative Autonomous Vehicles,

Reference 8

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:04:00.422487Z

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.

source=pdf_text observed=2026-08-05T13:03:59.981998Z digest=sha256:81f561cc1fc66aa7d9b53c6c128da463ad5f5f23c342cd365b0fb9bc4e9e4d99

Observation 4165fad2-59a9-4001-b8f5-8604db2d2ae7 · outbound

This paper cites Microscopic Traffic Simulation using SUMO,.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles Microscopic Traffic Simulation using SUMO,

Reference 9

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:04:00.343896Z

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.

source=pdf_text observed=2026-08-05T13:03:59.984821Z digest=sha256:f4feab636185ebb8e34e6d9159a745054234f8765fcb96a2cf40ef1014c99559

Observation 01860e3f-9017-40ab-88d8-923e5d2d1709 · outbound

This paper cites Artery V2X Simulation Framework.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles Artery V2X Simulation Framework

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:04:00.681908Z

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.

source=pdf_text observed=2026-08-05T13:03:59.987833Z digest=sha256:8f8a14e80d68f6994d9ad7226740d04b66b9e21b50f2f7bfd6680293b7b0348d

Observation 2d5a6aa6-a152-4d8c-8d65-a7f7c11332eb · outbound

This paper cites carla-simulator/ros-bridge,.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles carla-simulator/ros-bridge,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:04:00.673064Z

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.

source=pdf_text observed=2026-08-05T13:03:59.991090Z digest=sha256:d59095860ae9d9a71e579d3715198b2613a82091dca715c1e63a90fda9b8e97b

Observation 38d42163-083c-44d6-aebc-408a60867983 · outbound

This paper cites A comprehensive study of the ro- bustness for lidar-based 3d object detectors against adversarial attacks,.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles A comprehensive study of the ro- bustness for lidar-based 3d object detectors against adversarial attacks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:04:00.663387Z

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.

source=pdf_text observed=2026-08-05T13:03:59.993913Z digest=sha256:03f3b20710e49590cf997a973077bdd680ee20bc461c0f550182a9c9b6e8c838

Observation ee41f41f-363e-47ae-9507-5a194780eae8 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T13:03:59.996810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:03:59.996810Z digest=sha256:d9d8466768c27fe4d3a78cbf6ec95ea0409d7f056f060296d0dadde0233ce589

Observation f3db3351-cc67-419f-b935-7c01fa34c3f6 · outbound

This paper cites Pointcloud saliency maps,.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles Pointcloud saliency maps,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:04:00.653042Z

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.

source=pdf_text observed=2026-08-05T13:03:59.999698Z digest=sha256:827929fd5febe90c198ad0a2f922dffa7d6d6e054208f855f7efa2af32045039

Observation fa9e1093-da1b-41ef-95ac-e2ca936262f7 · outbound

This paper cites Generating 3d adversarial point clouds,.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles Generating 3d adversarial point clouds,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:04:00.642305Z

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.

source=pdf_text observed=2026-08-05T13:04:00.002337Z digest=sha256:bc7d637da5ffa8895548cae486cef1c0e50fbc30e2d1570b5c132461c2cd75e7

Observation b23a7983-8a2b-4d09-826e-9b11def07f41 · outbound

This paper cites Extending online 4d situational awareness in connected and automated vehicles,.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles Extending online 4d situational awareness in connected and automated vehicles,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:04:00.631476Z

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.

source=pdf_text observed=2026-08-05T13:04:00.005007Z digest=sha256:9b9eb9ad775772c892e9e2b6a1dbe49db51483170b2868b59aa40743eecfde1a

Observation 453bcdb2-d9a3-4595-9893-76b415e56f23 · outbound

This paper cites Goos, Peer-to-Peer Systems: First InternationalWorkshop, IPTPS 2002 Cambridge, MA, USA, March 7-8, 2002 Revised Papers , 1st ed.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles Goos, Peer-to-Peer Systems: First InternationalWorkshop, IPTPS 2002 Cambridge, MA, USA, March 7-8, 2002 Revised Papers , 1st ed

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:04:00.621476Z

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.

source=pdf_text observed=2026-08-05T13:04:00.007574Z digest=sha256:60d4735d1871cb9925b9a30147192b485aa62d6b6a94dc898caefcb609271132

Observation ea769d23-fe1e-4474-a73f-2c8e97b37997 · outbound

This paper cites Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward,.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward,

Reference 18

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:04:00.204972Z

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.

source=pdf_text observed=2026-08-05T13:04:00.010052Z digest=sha256:acecd0825168fdf6f5a19476b83bba3579b634181f92fadc3adfeaf394286ea0

Observation 87c5ff3b-2853-428c-8c93-318633f13260 · outbound

This paper cites A practical gps location spoofing attack in road navigation scenario,.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles A practical gps location spoofing attack in road navigation scenario,

Reference 19

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T13:04:00.120209Z

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.

source=pdf_text observed=2026-08-05T13:04:00.012580Z digest=sha256:6b724275c45fc21a2003d7b47ac08093fbceeaf7ca53ce22be57f397ad9fb20b

Observation 0bc7a071-0749-4351-a1c1-4c1b8c9c0efc · outbound

This paper cites SECOND: Sparsely Embedded Convolutional Detection,.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles SECOND: Sparsely Embedded Convolutional Detection,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:04:00.611467Z

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.

source=pdf_text observed=2026-08-05T13:04:00.015044Z digest=sha256:71f7f920f23e817081db2d7a9061889dedfda4233483e065141d97018f63c0d4

Pith citing papers

No inbound Pith citation observations are available.