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LICENSE

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MIT License
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Copyright (c) 2026 ASSERT-KTH, KTH Royal Institute of Technology
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

README.md

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The experiment runs a coding agent (mini-SWE-agent) on SWE-bench, records hidden states at every assistant turn, and trains linear probes to predict per-edit properties such as *does the code currently compile?* and *are all tests currently passing?*
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## Clone
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This repo vendors `SWE-bench_Pro-os` as a git submodule, so clone recursively:
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```bash
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git clone --recurse-submodules https://github.com/ASSERT-KTH/program-probes
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# already cloned without --recurse-submodules?
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git submodule update --init --recursive
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```
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## Data
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The labeled agent trajectories used in the paper are released on the Hugging Face Hub:
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- **[ASSERT-KTH/latent-programming-horizons-trajs](https://huggingface.co/datasets/ASSERT-KTH/latent-programming-horizons-trajs)**
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These are the outputs of steps 1–2 of the [pipeline](#pipeline) (generation + labeling). Downloading them lets you skip the GPU generation step and start from hidden-state extraction (step 3) onward. Point `--traj-dir` / `--label-dir` at the downloaded trajectories in the commands below.
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## Pipeline
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```

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