Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:05:54.600215Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 1 inbound Pith citation observation for arXiv:2507.21163.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:05:54.600215Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-09T20:29:23.561292Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T15:11:08.030757Z
100 of 105 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Generating Adversarial Point Clouds Using Diffusion Model Unresolved cited work
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Generating Adversarial Point Clouds Using Diffusion Model Diffusion Models for Imperceptible and Transferable Adversarial Attack
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Generating Adversarial Point Clouds Using Diffusion Model Unresolved cited work
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Reference 24
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Observation 84cfad92-e0b0-4871-89ea-3a9786de2bd4 · outbound
Generating Adversarial Point Clouds Using Diffusion Model Unresolved cited work
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Observation ede6b042-90ee-491a-bcfa-6370ba9bcd7a · outbound
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Observation 94b6479d-f976-4168-9fca-1a9fd991e47d · outbound
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Observation cf58eb4a-cfb9-4508-bae8-02c56255604a · outbound
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Generating Adversarial Point Clouds Using Diffusion Model Unresolved cited work
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Generating Adversarial Point Clouds Using Diffusion Model Unresolved cited work
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Generating Adversarial Point Clouds Using Diffusion Model Unresolved cited work
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Generating Adversarial Point Clouds Using Diffusion Model Unresolved cited work
Reference 81
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Reference 92
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Generating Adversarial Point Clouds Using Diffusion Model Run-time Monitoring of 3D Object Detection in Automated Driving Systems Using Early Layer Neural Activation Patterns
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Generating Adversarial Point Clouds Using Diffusion Model Unresolved cited work
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Generating Adversarial Point Clouds Using Diffusion Model Unresolved cited work
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Generating Adversarial Point Clouds Using Diffusion Model Unresolved cited work
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Generating Adversarial Point Clouds Using Diffusion Model Unresolved cited work
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Generating Adversarial Point Clouds Using Diffusion Model Unresolved cited work
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Generating Adversarial Point Clouds Using Diffusion Model Unresolved cited work
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Adversarial Flow Matching for Imperceptible Attacks on End-to-End Autonomous Driving Generating Adversarial Point Clouds Using Diffusion Model
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