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README.md

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----
-license: apache-2.0
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+---
+license: apache-2.0
+tags:
+- agent
+---
+# The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management
+This dataset contains our raw experimental data (ie. agent trajectories) accompanying the paper **"The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management"** and Tobias Lindenbauer's Master's thesis.
+
+The data in this repository are compressed to `.tar.gz` archives. For detailed instructions on how to use these data please refer to our code repository on [Github](https://github.com/JetBrains-Research/the-complexity-trap).
+
+If you used these data in your research, or it helped you form a hypothesis, please cite us:
+```
+@misc{lindenbauer2025complexitytrapsimpleobservation,
+      title={The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management}, 
+      author={Tobias Lindenbauer and Igor Slinko and Ludwig Felder and Egor Bogomolov and Yaroslav Zharov},
+      year={2025},
+      eprint={2508.21433},
+      archivePrefix={arXiv},
+      primaryClass={cs.SE},
+      url={https://arxiv.org/abs/2508.21433}, 
+}
+```