--- title: "Who cites RTQA : Recursive Thinking for — 5 citing papers" description: "5 papers of the Elamur Research library cite «RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with…" canonical: "https://research.elamur.ai/free/en/papers/gong-2025-rtqa-recursive-thinking-complex-temporal/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/gong-2025-rtqa-recursive-thinking-complex-temporal/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [RTQA : Recursive Thinking for Complex Temporal…](https://md.research.elamur.ai/free/en/papers/gong-2025-rtqa-recursive-thinking-complex-temporal/) / cited by # Who cites «RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models» 5 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 «RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models»](https://md.research.elamur.ai/free/en/papers/gong-2025-rtqa-recursive-thinking-complex-temporal/) 1. **[Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/gong-2026-temp-r1-unified-autonomous-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaoyan Gong, Zhiqiang Liu, Songze Li, et al.*2026 · 4 citations* 2. **[Temporal Evidence Chain for Temporal Knowledge Graph Question Answering with Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-temporal-evidence-chain-temporal-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shihao Liu, Xiaofei Zhou, Bo Wang, et al.*2026* 3 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/gong-2025-rtqa-recursive-thinking-complex-temporal/) — RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models