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CordisBench: Can Language Models Reason About Component Lifecycles in Dynamic Agent Harnesses?

Paper recorded by Signals 4 on 2026-09-01 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-01 on arXiv · recorded by Signals 4 on 2026-09-02

Category: cs.AI · 人工智能 · first seen 2026-09-02

Abstract

Dynamic agent harnesses let language models change the software that shapes their own execution. This flexibility brings a new reasoning burden: a local plugin change can propagate through dependencies and cleanup. We introduce CordisBench, a 1,200-question benchmark of this lifecycle reasoning. It combines a controlled formal setting with programs executed against Cordis, a runtime that manages c

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#223 most recent of 300 cs.AI papers we have recorded · ↑ newer: Adaptive Critical Token-Aware Retrieval for Repository-Level Code Gene · ↓ older: The Rise of Verbal Reinforcement Learning
Cite this page: CordisBench: Can Language Models Reason About Component Lifecycles in Dynamic Agent Harnesses?: the #223 most recent of 300 cs.AI papers we have recorded (as of 2026-09-01). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cordisbench-can-language-models-reason-about-component-lifecycles-in-dynamic-age.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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