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| # Citation | |
| If you use the **Logistics Shipment RL Environment** in your research or published work, please cite it as follows: | |
| ## BibTeX | |
| ```bibtex | |
| @misc{logistics_shipment_rl_2026, | |
| title = {Logistics Shipment RL: A Multi-Turn Crisis Management Benchmark for LLM Agents}, | |
| author = {Team Misai}, | |
| year = {2026}, | |
| url = {https://huggingface.co/spaces/Leavin1611/logistics-hackathon-env}, | |
| note = {Meta PyTorch OpenEnv Hackathon 2026 submission. | |
| Environment available at \url{https://github.com/leavin1611/Leavin1611-logistics-hackathon-env}}, | |
| howpublished = {Hugging Face Spaces (Docker)}, | |
| } | |
| ``` | |
| ## APA Format | |
| Team Misai. (2026). *Logistics Shipment RL: A Multi-Turn Crisis Management Benchmark for LLM Agents*. Meta PyTorch OpenEnv Hackathon. Retrieved from https://huggingface.co/spaces/Leavin1611/logistics-hackathon-env | |
| --- | |
| ## Related Work | |
| This environment is built on top of the [OpenEnv framework](https://github.com/meta-pytorch/OpenEnv) by Meta PyTorch. | |
| If you use OpenEnv, also cite: | |
| ```bibtex | |
| @misc{openenv2026, | |
| title = {OpenEnv: A Unified Framework for LLM Reinforcement Learning Environments}, | |
| author = {Meta PyTorch Team}, | |
| year = {2026}, | |
| url = {https://github.com/meta-pytorch/OpenEnv}, | |
| } | |
| ``` | |