---
title: "Who cites Stochastic Gradient Descenders at — 1 citing paper"
description: "1 paper of the Elamur Research library cite «Stochastic Gradient Descenders at DeSegMa-IT: Instruction-Tuned LLM and Token…"
canonical: "https://research.elamur.ai/free/en/papers/phu-2026-stochastic-gradient-descenders-desegma-it/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/phu-2026-stochastic-gradient-descenders-desegma-it/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Stochastic Gradient Descenders at DeSegMa-IT…](https://md.research.elamur.ai/free/en/papers/phu-2026-stochastic-gradient-descenders-desegma-it/) / cited by

# Who cites «Stochastic Gradient Descenders at DeSegMa-IT: Instruction-Tuned LLM and Token Classification for MGT Detection and Boundary Localization»

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 «Stochastic Gradient Descenders at DeSegMa-IT: Instruction-Tuned LLM and Token Classification for MGT Detection and Boundary Localization»](https://md.research.elamur.ai/free/en/papers/phu-2026-stochastic-gradient-descenders-desegma-it/)

1. **[DeSegMa-IT at EVALITA 2026: Overview of the “Detection and Segmentation of Machine Generated Texts in Italian”](https://md.research.elamur.ai/free/en/papers/puccetti-2026-desegma-it-evalita-2026-overview/) [Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop](https://md.research.elamur.ai/free/en/venues/evalita/)**Giovanni Puccetti, Andrea Pedrotti, Andrea Esuli*2026 · 1 citation*
- [← back to](https://md.research.elamur.ai/free/en/papers/phu-2026-stochastic-gradient-descenders-desegma-it/) — Stochastic Gradient Descenders at DeSegMa-IT: Instruction-Tuned LLM and Token Classification for MGT Detection and Boundary Localization
