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Paper Citation Record · LEDGER

Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.07595.

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

pith.paper-citation-record.v1
2405.07595 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:58:52.558366Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T16:35:42.135725Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2f3681dd-424d-4085-ad2f-e06410d1751c · inbound

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving cites this paper.

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:35:42.140997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T16:35:24.063578Z digest=sha256:73d6c40c6a9018569e7e96cabce6b226da96d12837242eb59d8f0749e16b809e

Observation c041d535-f90d-41a8-92e6-ab07bc3261ff · inbound

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation cites this paper.

3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T20:58:52.558366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:58:52.558366Z digest=sha256:4fdf503c93c58e0ae1eac8e07a3e9440ec764a31e47257e967f909dc59530cde

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

Physical Adversarial Camouflage through Gradient Calibration and Regularization cites this paper.

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.

source=pdf_text observed=2026-08-05T23:27:16.677578Z digest=sha256:0176b6bbd56e2929f2e1163cd91421b6e84105eb8bc148de7927ae832ab8c985

Observation 06ac682a-0c87-462c-8301-20e8b5367cee · inbound

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models cites this paper.

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection

Reference 86

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:05:49.124863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T20:14:02.553313Z digest=sha256:1c5b82b6fd2e7a66328020226af6219d51612ba829c9b7379769275b67dc90ad

Observation a2a1ffaa-faee-464d-80d2-2270dd69344f · inbound

Multimodal Backdoor Attack on VLMs for Autonomous Driving via Graffiti and Cross-Lingual Triggers cites this paper.

Multimodal Backdoor Attack on VLMs for Autonomous Driving via Graffiti and Cross-Lingual Triggers Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T21:55:49.761224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T20:30:29.032353Z digest=sha256:feb3aa41ef78ecf95a836e63f36745163df7fccf678d98a2baaebc3c8be2e392