Model Detail
asset-harvester
▲ 5.2%Interpretable Deep Learning for Stock Returns: A Consensus-Bottleneck Asset Pricing Model
arXiv:2512.16251v5 Announce Type: replace-cross Abstract: We introduce the Consensus-Bottleneck Asset Pricing Model (CB-APM), which embeds aggregate analyst consensus as a structural bottleneck, treating professional beliefs as a sufficient statistic for the market's high-dimensional information set
Algorithmic Compliance and Regulatory Loss in Digital Assets
arXiv:2603.04328v2 Announce Type: replace Abstract: We study the deployment performance of machine learning based enforcement systems used in cryptocurrency anti money laundering (AML). Using forward looking and rolling evaluations on Bitcoin transaction data, we show that strong static classificati
Harness as an Asset: Enforcing Determinism via the Convergent AI Agent Framework (CAAF)
arXiv:2604.17025v1 Announce Type: cross Abstract: Large Language Models (LLMs) produce a controllability gap in safety-critical engineering: even low rates of undetected constraint violations render a system undeployable. Current orchestration paradigms suffer from sycophantic compliance, context at
R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation
arXiv:2506.07826v2 Announce Type: replace-cross Abstract: Validating autonomous driving (AD) systems requires diverse and safety-critical testing, making photorealistic virtual environments essential. Traditional simulation platforms, while controllable, are resource-intensive to scale and often suf
Asset Harvester: Extracting 3D Assets from Autonomous Driving Logs for Simulation
arXiv:2604.18468v1 Announce Type: cross Abstract: Closed-loop simulation is a core component of autonomous vehicle (AV) development, enabling scalable testing, training, and safety validation before real-world deployment. Neural scene reconstruction converts driving logs into interactive 3D environm
TechCrunch Mobility: Uber enters its assetmaxxing era
Welcome back to TechCrunch Mobility, your hub for the future of transportation and now, more than ever, how AI is playing a part.
