---
title: "Who cites StreamMeCo: Long-Term Agent — 3 citing papers"
description: "3 papers of the Elamur Research library cite «StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video…"
canonical: "https://research.elamur.ai/free/en/papers/wang-2026-streammeco-long-term-agent-memory/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/wang-2026-streammeco-long-term-agent-memory/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [StreamMeCo: Long-Term Agent Memory Compression…](https://md.research.elamur.ai/free/en/papers/wang-2026-streammeco-long-term-agent-memory/) / cited by

# Who cites «StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding»

3 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding»](https://md.research.elamur.ai/free/en/papers/wang-2026-streammeco-long-term-agent-memory/)

1. **[FBS: Modeling Native Parallel Reading inside a Transformer](https://md.research.elamur.ai/free/en/papers/wang-2026-fbs-modeling-native-parallel-reading/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tongxi Wang*2026 · 14 citations*
2. **[UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision](https://md.research.elamur.ai/free/en/papers/fang-2026-unicorn-self-improving-unified-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Fang, Ruiyan Han, XinYu Sun, et al.*2026 · 11 citations*
3. **[Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-agent-gwo-collaborative-agents-dynamic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xudong Wang, Chaoning Zhang, Chenghao Li, et al.*2026*
- [← back to](https://md.research.elamur.ai/free/en/papers/wang-2026-streammeco-long-term-agent-memory/) — StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding