Plans You Can Check: Verifier-Grounded Learning of an Open-Weight Planner for Executable Video-Editing

arXiv:2608.25622 · cs.CV, cs.CL · Submitted 2026-08-26 · Read on arXiv

cs.CV, cs.CL

Submitted: 2026-08-26

Updated: 2026-08-26

Terminology

• Verifier — 138× in this paper · explained in 2 episodes
• Distillation — 14× in this paper · explained in 2 episodes
• Benchmark — 11× in this paper · explained in 2 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Trace — 8× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Robustness — 6× in this paper · explained in 5 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Grounding — 5× in this paper · explained in 3 episodes
• Commentary — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Provenance — 3× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Direct Preference Optimization — 2× in this paper
• Failure Taxonomy — 2× in this paper · explained in 2 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Multi-Agent Framework — 2× in this paper · explained in 3 episodes
• Video-Editing Score — 2× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Agent Skills — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Direct Preference Optimization (DPO) — 1× in this paper · explained in 9 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 5 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Two-Stage Framework — 1× in this paper · explained in 2 episodes
• Verifiability — 1× in this paper · explained in 2 episodes

Sources

• Rubric-Grounded RL: Structured Judge Rewards for Generalizable Reasoning
• Training Verifiers to Solve Math Word Problems
• StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration
• HunyuanVideo: A Systematic Framework For Large Video Generative Models
• DIRECT: Video Mashup Creation via Hierarchical Multi-Agent Planning and Intent-Guided Editing
• EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics
• UniVA: Universal Video Agent towards Open-Source Next-Generation Video Generalist
• GLANCE: A Global-Local Coordination Multi-Agent Framework for Music-Grounded Non-Linear Video Editing
• Uniform-Correct Policy Optimization: Breaking RLVR's Indifference to Diversity
• Movie Gen: A Cast of Media Foundation Models
• Wan: Open and Advanced Large-Scale Video Generative Models
• Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
• Instruction-Following Evaluation for Large Language Models

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