VideoLoop: Looped Working Memory Against Semantic Thrashing in Long-Form Video Agents

arXiv:2609.38119 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-30

Code: https://github.com/philipxjm/videoloop

Terminology

• Accuracy — 17× in this paper · explained in 1 episode
• Benchmark — 13× in this paper · explained in 2 episodes
• Agentic System — 6× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Agentic Reasoning — 2× in this paper · explained in 1 episode
• Grounding — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Agent Memory — 1× in this paper · explained in 1 episode
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Agentic Search — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes

Sources

• M2A: Multimodal Memory Agent with Dual-Layer Hybrid Memory for Long-Term Personalized Interactions
• Gemini: A Family of Highly Capable Multimodal Models
• Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
• Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos
• VideoMem: Enhancing Ultra-Long Video Understanding via Adaptive Memory Management
• Divide, then Ground: Adapting Frame Selection to Query Types for Long-Form Video Understanding
• An Empirical Study for Representations of Videos in Video Question Answering via MLLMs
• LongVideoAgent: Multi-Agent Reasoning with Long Videos
• All-Mem: Agentic Lifelong Memory via Dynamic Topology Evolution
• GPT-4 Technical Report
• MemGPT: Towards LLMs as Operating Systems
• Agentic Very Long Video Understanding
• LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos
• Video-EM: Event-Centric Episodic Memory for Long-Form Video Understanding
• Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding
• LongVidSearch: An Agentic Benchmark for Multi-hop Evidence Retrieval Planning in Long Videos
• RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models