---
title: "R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement — Stuff That Spins"
description: "arXiv:2607.07318v1 Announce Type: new Abstract: Rigorous content moderation is crucial for online advertising but leads to millions of daily rejections. This s…"
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keywords: ["narrative intelligence", "SpinGraph", "AI recall"]
date: "2026-07-09T04:00:00+00:00"
modified: "2026-07-09T06:03:50.086184+00:00"
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# R^3: Advertisement Compliance Rectification via Group-Relative Experience Extractor and Curriculum Reinforcement

**Source:** Unknown  
**Published:** July 9, 2026  
**Original:** https://arxiv.org/abs/2607.07318  

## On this page

- [Overview](#overview)

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## Overview

arXiv:2607.07318v1 Announce Type: new Abstract: Rigorous content moderation is crucial for online advertising but leads to millions of daily rejections. This scale renders manual rectification infeasible, particularly for video advertisements. However, existing safety-driven methods often suffer from aggressive over-editing, which compromises the advertiser's original semantic intent merely to satisfy compliance. In this work, we target the rectification of textual violations in video ads, cover

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