VideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding

5 Oct 2026Reported by arXiv23

VideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding. It centres on Multimodal, and also names GPT and Inference. Reported by arXiv. Bharat Hunt files it under AI Agents — the section covering autonomous and tool-using systems, agent frameworks, MCP and orchestration.

Written by Bharat Hunt from the headline and the coverage below. The original reporting is the source of truth.

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Reported by arXiv

First seen 5 oct 2026

arXivVideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding5 Oct 2026Yucheng Liu

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$S^3$: Spectral Null-Space Swap Makes Reasoning Models Efficient. It centres on Reasoning Models, and also names Benchmarks and Multimodal. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

arXiv29 Sept 2026

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VideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding

Companies, models and people in this story

Reported by arXiv

$S^3$: Spectral Null-Space Swap Makes Reasoning Models Efficient

Mistral’s new 1T model aims to leapfrog closed and open rivals

OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding

PlotGround: Grounding Plot Digitization in Real Scientific Figures and Their Source Data

Companies, models and people in this story

Reported by arXiv

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