arXiv AI By Lei Qu (Shanghai Xing Yun Zhi Li AI Institute)

From Ideas to Actions: A Public-Data Decision-Support Toolchain Across the Venture Lifecycle

Read the original on arXiv AI →

The Flow has not summarised this story yet — read it at arXiv AI.

arXiv Machine Learning
Jun 30

FinInvest-GTCN: Explainable Graph-Temporal-Causal Modeling for Risk-Aware Investment Decision Optimization

arXiv:2606. 28933v1 Announce Type: cross Abstract: Venture capital (VC) investment decisions face distinct challenges, such as multi-source heterogeneous data, non-stationary time series, and the demand for explainable predictions in high-stakes, low-data settings.

By Junyan Tan, Yifan Li, Minghao Wang, Zihan Chen, Haoyu Zhang
arXiv AI
Sep 24

From Agent Output to Authorized Transition

The paper introduces the Agile‑V Assurance Spine, a cross‑domain transition contract designed to manage the assurance of outputs from agentic engineering systems across software, firmware, and PCB domains. It specifies that evidence is only accepted when it demonstrates required properties through an authoritative source profile, is tightly bound to the exact artifact and policy baseline, stays current with declared dependencies, and meets risk‑appropriate independence and authority. Gate decisions are recorded as receipts, approvals and exceptions are scope‑ and time‑bounded, and authorization is rechecked at the effect boundary before any merge, deployment, flashing, release, or fabrication step.

By Christopher Koch