Reversa is a reverse documentation engineering framework that deploys a multi-agent pipeline to extract implicit rules from legacy software and produce traceable specifications with confidence scores and explicit gaps for human review.
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14 Pith papers cite this work. Polarity classification is still indexing.
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A new discrete-time AMM model with diffusive plus jump price processes shows CEX-DEX arbitrage requires volumes comparable to major liquidity pools and produces profits on the scale of total MEV.
Chain-of-illocution prompting improves source adherence in RAG explanations for programming education by up to 63% over baselines.
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.
Bridge volume and integrations show heterogeneous effects on DeFi lending TVL and revenue, with more bridges linked to liquidity outflows and bridge hacks to positive performance shifts.
Longitudinal analysis of Reddit posts shows human-AI romance discourse evolving from intimate personal stories to focus on platform governance, technical problems, and societal impacts.
Agora uses AI to ground policy discussions in real human voices and a small study shows it improves users' perspective-taking compared to numerical summaries alone.
Recurrent networks driven by low-dimensional sensory dynamics generically embed those dynamics as smooth internal manifolds, with prediction accuracy forcing state separation up to a resolution limit set by prediction error.
A novel state-space dynamic functional regression model is proposed for multicurve fixed income spread analysis and stress testing, integrating dynamic Nelson-Siegel with kernel PCA for tractable estimation.
Discounting sensitivities align liquidity forecasting with self-financing replication, while a liquidity valuation adjustment captures settlement lags.
A closed multi-asset market model with trend-and-valuation trading shows that raising the momentum coefficient destabilizes equilibrium prices and produces oscillations via Hopf bifurcation.
An AI system that elicits personal experiences and visualizes policy support increased perceived legitimacy and perspective-taking in collective decisions despite unfavorable outcomes.
Hiding generative AI use to signal expertise reduces knowledge sharing and transparency among workplace colleagues.
An integrated open-source visual analysis system for creating parameter-varied blood flow simulation ensembles from subject-specific MRI data and examining them via 2D similarity embeddings.
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Embedding of Low-Dimensional Sensory Dynamics in Recurrent Networks: Implications for the Geometry of Neural Representation
Recurrent networks driven by low-dimensional sensory dynamics generically embed those dynamics as smooth internal manifolds, with prediction accuracy forcing state separation up to a resolution limit set by prediction error.