Line-Aligning Yaw Scoring recovers sub-degree yaw under ±20 m location noise and ±180° heading ambiguity by radially invariant column-to-line voting without height or known-position assumptions.
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21 Pith papers cite this work, alongside 805 external citations. Polarity classification is still indexing.
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Pith papers citing it
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cs.HC 4 cond-mat.mtrl-sci 2 cs.CV 2 cs.CY 2 q-fin.PR 2 cs.CL 1 cs.CR 1 cs.DL 1 cs.SE 1 cs.SI 1roles
background 2representative citing papers
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The paper introduces the first comprehensive taxonomy and visualization of 11 categories of technologies facilitating AI-generated non-consensual intimate images, derived from synthesis of primary sources and demonstrated through case studies.
A decoupled pipeline with YOLO detection, deterministic prompt encoding, and QLoRA-adapted 1.5B LLM achieves superior structured report generation compared to monolithic VLMs on synthetic maintenance data.
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Hiding generative AI use to signal expertise reduces knowledge sharing and transparency among workplace colleagues.
An ensemble of three local LLMs classifies Wikidata items as mathematical concepts with 98.2% accuracy on MathWorld-backed positives and surfaces three distinct disagreement categories.
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Cross-View Yaw Estimation in Location Uncertainty with Line-Aligning Yaw Scoring
Line-Aligning Yaw Scoring recovers sub-degree yaw under ±20 m location noise and ±180° heading ambiguity by radially invariant column-to-line voting without height or known-position assumptions.
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Non-Spanning Identification of Scheduled Event Risk in Option Pricing
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