inference-time-scaling-of-verification-self-evolvi

name	inference-time-scaling-of-verification-self-evolvi
title	Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification
version	0.0.2
engine	skillxiv-v0.0.2-claude-opus-4.6
license	MIT
url	https://arxiv.org/abs/2601.15808
keywords	["agent"]
description	Implement techniques from Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification. While the majority of existing efforts focus on enhancing policy capabilities via post-training, we propose an alternative paradigm: self-evolving the agent's ability by iteratively verifying the policy model's outputs, guided by meticulously crafted rubrics

Overview

This skill implements concepts from the research paper [2601.15808].

When to Use

• When you need to implement techniques described in this paper
• When working on problems that this research addresses
• When you want to understand the core concepts and methodology

When NOT to Use

• This skill provides research-level insights; production implementations may require additional engineering
• Some concepts may require significant tuning for specific use cases
• Always evaluate applicability to your specific problem domain

Key Concepts

The paper addresses: Recent advances in Deep Research Agents (DRAs) are transforming automated knowledge discovery and problem-solving. While the majority of existing efforts focus on enhancing policy capabilities via post-training, we propose an alternative paradigm: self-evolving the agent's ability by iteratively ver...

For detailed methodology and implementation details, refer to the full paper.