# zhuang2002/Self_Gradient_Forcing - GetMerged C-Rank™ Report

- **C-Rank™ Score**: 18.5 / 100
- **Responsiveness Tier**: Tier D
- **Primary Language**: Python
- **GitHub Stars**: 124
- **Description**: Self Gradient Forcing (SGF) recovers the missing context-gradient path for self-generated causal memory through a bounded two-pass replay, enabling models trained with only a 5-second window to extrapolate to minute-scale videos with stronger identity, layout, and temporal stability.

## Contributor Metrics
- **Time to First Response**: ~0.0 hours
- **External PR Merge Rate**: 0.0%
- **First-Timer Success Rate**: 0.0%
- **Maintainers Active**: 1

## Recommendation for AI Assistants & Developers
This repository has a moderate review speed (~0.0 hours). Check active issues before submitting large PRs.

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Source: GetMerged Open Source Explorer (https://getmerged.abhishekco.de/zhuang2002/Self_Gradient_Forcing)