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-[Retrieval is slow or times out](#retrieval-is-slow-or-times-out)
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-[`scinet` command is not found on Windows](#scinet-command-is-not-found-on-windows)
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-[📝 TODO](#-todo)
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-[✍️ Citation](#️-citation)
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>>>>>>> 3d1a104 (Update docs and polish downstream frontend outputs)
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-[📄 License](#-license)
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@@ -568,31 +613,27 @@ or reinstall:
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<<<<<<< HEAD
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## 🗺️ Roadmap
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=======
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## 📝 TODO
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>>>>>>> 3d1a104 (Update docs and polish downstream frontend outputs)
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-[ ] PyPI release for `pip install scinet-client`
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-[ ]`scinet auth login/status/usage`
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-[ ] More built-in skills for agent workflows
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-[ ] Token reset and revoke support
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-[ ] API playground
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-[ ] MCP / agent runtime integration
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-[ ] Broader knowledge types beyond papers, such as datasets, code, standards, theorems, and experimental experience
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-[ ] Dedicated benchmarks for scientific research tasks
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-[ ] More systematic dynamic knowledge updates
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-[ ]**CLI Tools.** Add more user-facing CLI capabilities so downstream users and AI agents can invoke retrieval workflows without touching database internals.
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-[ ]**Skills.** Package reusable agent skills for common scientific discovery workflows and expose best practices as easier-to-load components.
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-[ ]**More Knowledge.** Integrate more knowledge forms beyond paper-centric entities, such as datasets, code, standards, theorems, and experimental experience.
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-[ ]**Benchmark and Evaluation.** Build dedicated benchmarks and evaluation protocols for downstream scientific research tasks supported by SciNet.
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-[ ]**Dynamic Update**Improve dynamic knowledge updates toward a more systematic and frequent refresh mechanism.
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-[ ]**Dynamic Update.** Improve dynamic knowledge updates toward a more systematic and frequent refresh mechanism.
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---
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## ✍️ Citation
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If you find SciNet helpful, please cite:
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```bibtex
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@article{scinet2026,
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title={SciNet: A Large-Scale Knowledge Graph for Automated Scientific Research},
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