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Paper Agents, Paper Gains: An Empirical Analysis of DeFi Investment Agents

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1 SIGNALFIRST DETECTED 29 May 2026
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29 Apr
AI Identity: Standards, Gaps, and Research Directions for AI Agents

arXiv:2604.23280v1 Announce Type: new Abstract: AI agents are now running real transactions, workflows, and sub-agent chains across organizational boundaries without continuous

REPORT · HOW · ArXiv CS.AIOPEN STORY
9 Sept
What LLM Trading Agents Actually Do in Production: A Six-Month, Population-Scale Record from Two Fleets

arXiv:2609.05663v1 Announce Type: new Abstract: We present a continuous, population-scale measurement record of autonomous language-model trading agents operating in production

REPORT · WHAT · ArXiv CS.AIOPEN STORY
9 Apr
Architecture Without Architects: How AI Coding Agents Shape Software Architecture

arXiv:2604.04990v1 Announce Type: cross Abstract: AI coding agents select frameworks, scaffold infrastructure, and wire integrations, often in seconds. These are architectural

REPORT · HOW · ArXiv CS.AIOPEN STORY
16 Oct
Kolab: Benchmarking Human-Agent Collaboration in Long-Horizon Workflows

arXiv:2610.21109v1 Announce Type: new Abstract: When humans collaborate with AI agents on long-horizon tasks, what happens to the agents' contributions? For solving long-horizon

REPORT · WHEN · ArXiv CS.AIOPEN STORY
2 Oct
Measuring the Microtask Eligibility Gap: When Is an Off-the-Shelf SLM Enough for an Agent Harness?

arXiv:2610.00025v1 Announce Type: new Abstract: Agent harnesses increasingly want to run small language models (SLMs) on the microtasks around a frontier large language model

REPORT · WHEN · ArXiv CS.AIOPEN STORY
30 Apr
Operating-Layer Controls for Onchain Language-Model Agents Under Real Capital

arXiv:2604.26091v1 Announce Type: new Abstract: We study reliability in autonomous language-model agents that translate user mandates into validated tool actions under real

REPORT · WHAT · ArXiv CS.AIOPEN STORY
16 May
GraphBit: A Graph-based Agentic Framework for Non-Linear Agent Orchestration

arXiv:2605.13848v1 Announce Type: new Abstract: Agentic LLM frameworks that rely on prompted orchestration, where the model itself determines workflow transitions, often suffer

REPORT · WHERE · ArXiv CS.AIOPEN STORY
6 May
Evaluating Agentic AI in the Wild: Failure Modes, Drift Patterns, and a Production Evaluation Framework

arXiv:2605.01604v1 Announce Type: new Abstract: Existing evaluation frameworks for large language models -- including HELM, MT-Bench, AgentBench, and BIG-bench -- are designed for

REPORT · WHEN · ArXiv CS.AIOPEN STORY
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