---
title: "Who cites Too Many Frames, Not All Useful: — 9 citing papers"
description: "9 papers of the Elamur Research library cite «Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/park-2026-too-many-frames-not-all/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Too Many Frames, Not All Useful: Efficient…](https://md.research.elamur.ai/free/en/papers/park-2026-too-many-frames-not-all/) / cited by

# Who cites «Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA»](https://md.research.elamur.ai/free/en/papers/park-2026-too-many-frames-not-all/)

1. **[Minimal Clips, Maximum Salience: Long Video Summarization via Key Moment Extraction](https://md.research.elamur.ai/free/en/papers/pennec-2026-minimal-clips-maximum-salience-long/) [International Workshop on Spoken Dialogue System Technology](https://md.research.elamur.ai/free/en/venues/iwsds/)**Galann Pennec, Zhengyuan Liu, Nicholas Asher, et al.*2026*
2. **[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*

7 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/park-2026-too-many-frames-not-all/) — Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA