VeriTrace: Evolving Mental Models for Deep Research Agents

arXiv:2605.26081 · cs.AI · Submitted 2026-05-25 · Read on arXiv

cs.AI

Submitted: 2026-05-25

Updated: 2026-08-31

Code: https://github.com/youdotcom-oss/ydc-deep-research-evals

Terminology

• Core — 30× in this paper · explained in 2 episodes
• Ablation — 23× in this paper · explained in 1 episode
• Verification — 7× in this paper · explained in 2 episodes
• Aggregation — 6× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Trace — 6× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Verifier — 4× in this paper · explained in 2 episodes
• Metacognition — 3× in this paper · explained in 5 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• LLM judge — 2× in this paper · explained in 2 episodes
• Multi-Agent System — 2× in this paper · explained in 5 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Two-Stage Architecture — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Test-time Scaling — 1× in this paper · explained in 2 episodes

Sources

• Mind2Report: Expert-Level Commercial Report Synthesis via Cognitive Deep Research Agent
• DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
• Large Language Model based Multi-Agents: A Survey of Progress and Challenges
• Deep Research Agents: A Systematic Examination And Roadmap
• RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context
• WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research
• EmoMAS: Emotion-Aware Multi-Agent System for High-Stakes Edge-Deployable Negotiation with Bayesian Orchestration
• EmoDebt: Bayesian-Optimized Emotional Intelligence for Strategic Agent-to-Agent Debt Recovery
• Enterprise Deep Research: Steerable Multi-Agent Deep Research for Enterprise Analytics
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
• Qwen3 Technical Report
• FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents

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