This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23499870. The paper introduces PACE-Bench, 43 production tasks from an enterprise coding-agent platform with 750 expert-audited Code Points built from the final PRD (Sections 1-3)....
Evgeny V. Arsentyev· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23446298. Summary. The authors test five instruction categories for an AGENTS.md file (Table I) on five small Python libraries (Table II), using Gemma 4-26B-A4B and GPT-5.4. They co...
Evgeny V. Arsentyev· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23423668. TurnCost re-scores 600 public coding-agent trajectories (nvidia/Open-SWE-Traces; OpenHands and SWE-agent crossed with Qwen3.5-122B-A10B and Minimax-M2.5, 150 per cell) und...
Evgeny V. Arsentyev· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23335998. Thank you for this paper. You build CRBugBench from human-verified bugs mined from repository history and traced back to the pull request that introduced them, 1,000 tasks...
Evgeny V. Arsentyev· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23282285. Thank you for this paper. You model the always-loaded context file (AGENTS.md and similar) as an assortment of instructions competing for limited attention, each with a se...
Evgeny V. Arsentyev· Zenodo (CERN European Organi...· 0 citations
What the work claimsThe authors treat folding in the 3D Hydrophobic-Polar lattice model as a sequential decision problem: the chain is built as a self-avoiding walk on the cubic lattice, one residue per step, and a Deep Q-Network with experience replay and a target network learns where to place the next residue, with t...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23132634. Thank you for this paper. You took 30 Korean-language artifacts (code modules, tutorials and presentation scripts, generated by Claude Opus 4.6) with 150 planted errors, a...
Evgeny V. Arsentyev· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23132634. Thank you for this paper. You took 30 Korean-language artifacts (code modules, tutorials and presentation scripts, generated by Claude Opus 4.6) with 150 planted errors, a...
Evgeny V. Arsentyev· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22974223. Inside a coding-agent harness one user turn is many API requests on a prompt cache, and the authors route only where no live conversation needs that cache rebuilt. In an e...
Evgeny V. Arsentyev· Zenodo (CERN European Organi...· 0 citations
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