Research Working Papers

Topic

LLM agents

5 papers

WP29

Protocol-Guided Autonomous Research with Claude Code

Scientific Verification, Reproducibility, and the Cost of Delegation: A Controlled Study

Simon-Pierre Boucher · UQO Working Papers · October 2026 · v1.0

Instruction files that steer coding agents through research tasks range from one sentence to several thousand words of phases, gates and integrity rules, but whether that structure changes what the agent delivers has not been measured with the agent held fixed. The paper reports 288 live Claude Code runs (362…

WP27

The Invisible Hand of Machines: Price Discovery in Markets Populated by LLM Agents

Simon-Pierre Boucher · UQO Working Papers · October 2026 · v1.0

What happens to price discovery when a growing share of the traders in a market are autonomous language-model agents? The paper builds an event-sourced continuous double-auction exchange with exact accounting, a latent dividend process that separates fundamental value from public value and transaction price, seven…

WP26

Can Autonomous AI Agents Discover the Fundamental Value of Real Estate? Evidence from Quebec Transactions and Multi-Agent Deliberation

Simon-Pierre Boucher · UQO Working Papers · October 2026 · v1.0

Committees of role-specialised language-model agents that debate before answering are increasingly proposed as valuation tools. This paper asks whether the debate adds information. In a preregistered experiment on 631,866 arm's-length residential sales registered in Quebec between 2021 and 2026, evaluated under a…

WP25

When AI Agents Become Economic Agents: An Agentic General Equilibrium Theory

Simon-Pierre Boucher · UQO Working Papers · October 2026 · v1.0

Households and firms are beginning to delegate economic decisions to autonomous agents built on a few shared foundation models. This paper studies what this does in general equilibrium. A human's decision error is idiosyncratic and averages out; an AI agent's error is common to every principal that uses the same…

WP13

VQuant: An Agentic Large Language Model Architecture for Automated Quantitative Financial Analysis and Document Generation

Reasoning-Augmented Tool Orchestration, In-Loop Numerical Computation, and Multi-Format Reporting

Simon-Pierre Boucher · UQO Working Papers · October 2026 · v1.1

Large language models write fluently about finance, but fluency does not make a number correct, current, or reproducible. This paper is a design-science description of VQuant, a deployed web platform that couples a reasoning-capable LLM with a deterministic execution substrate so that a natural-language request…