---
title: "Who cites Agentic Very Long Video — 1 citing paper"
description: "1 paper of the Elamur Research library cite «Agentic Very Long Video Understanding», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/rege-2026-agentic-very-long-video-understanding/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/rege-2026-agentic-very-long-video-understanding/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Agentic Very Long Video Understanding](https://md.research.elamur.ai/free/en/papers/rege-2026-agentic-very-long-video-understanding/) / cited by

# Who cites «Agentic Very Long Video Understanding»

1 paper of our library cites it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «Agentic Very Long Video Understanding»](https://md.research.elamur.ai/free/en/papers/rege-2026-agentic-very-long-video-understanding/)

1. **[SagaQA: A Multi-hop Reasoning Benchmark for Long-form Narrative Understanding in TV Series](https://md.research.elamur.ai/free/en/papers/pennec-2026-sagaqa-multi-hop-reasoning-benchmark/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Galann Pennec, Zhengyuan Liu, Nicholas Asher, et al.*2026*
- [← back to](https://md.research.elamur.ai/free/en/papers/rege-2026-agentic-very-long-video-understanding/) — Agentic Very Long Video Understanding
