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.
The Flow has not summarised this story yet — read it at arXiv AI.
arXiv:2608. 09025v1 Announce Type: new Abstract: Financial agents can turn correct context into an unauthorized effect: a customer-facing commitment, trade, or deployed policy.
arXiv:2606. 09556v1 Announce Type: new Abstract: AI Scientist agents are often evaluated as if capability were mainly a function of model quality, prompting, or reasoning scaffolds.
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.
arXiv:2608. 08621v1 Announce Type: new Abstract: Running a business is a challenging form of intelligent work.
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.
arXiv:2606. 29771v1 Announce Type: new Abstract: LLM agents are increasingly cast as autonomous portfolio managers, and benchmarks have moved from financial question-answering to sequential trading.