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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.

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}, 
}