Overview
Curated abstract when available.
This exemplar documents template_sia, a deterministic implementation of the Self-Improvement Agent (SIA) harness contract described in the Self-Improvement Agents specification (Hexo AI, 2026, arXiv:2605.27276). The default pipeline replays fixture-backed generations for the mini_classify task; opt-in live mode runs bounded target subprocesses and optional Ollama-backed meta/feedback steps.
Run snapshot. Task mini_classify, run 1, 3 generation(s), live=false. Final accuracy=0.8333 over 6 held-out samples. Values are injected by scripts/z_generate_manuscript_variables.py after analysis.
Keywords: self-improvement agents, benchmark harness, reproducible evaluation, agent loops
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Associated artifacts
GitHub release: v0.1.2 (https://github.com/docxology/template_sia/releases/tag/v0.1.2)
DOI: https://doi.org/10.5281/zenodo.20453879
Zenodo: https://zenodo.org/records/20453879
PDF SHA-256: 6e6d19d04182628bb825471cf8094b5c32d2c491d2c646652ec7e2439ba80773
Overview source: Curated paper metadata.
Artifacts
Tracked documentation and PDFs served directly from this folder.
README AGENTS SKILL Metadata Extracted text Citation metadata
- Friedman_2026_Selfimprovement_6e6d19d0.pdf 223,019 bytes · extracted-text source
- Friedman_2026_Selfimprovement_7087b6d1.pdf 42,046 bytes
- Friedman_2026_Selfimprovement_e350973a.pdf 82,577 bytes
