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--- |
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license: apache-2.0 |
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tags: |
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- agent |
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--- |
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# The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management |
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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. |
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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). |
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If you used these data in your research, or it helped you form a hypothesis, please cite us: |
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``` |
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@misc{lindenbauer2025complexitytrapsimpleobservation, |
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title={The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management}, |
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author={Tobias Lindenbauer and Igor Slinko and Ludwig Felder and Egor Bogomolov and Yaroslav Zharov}, |
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year={2025}, |
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eprint={2508.21433}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.SE}, |
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url={https://arxiv.org/abs/2508.21433}, |
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} |
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``` |
