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CoTrace: Data Recipes for Training Terminal Agents with Harness-Model Co-Evolution

Paper recorded by Signals 4 on 2026-10-07 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-07 on arXiv · recorded by Signals 4 on 2026-10-08

Category: cs.CL · 自然语言处理 · first seen 2026-10-08

Abstract

Terminal-agent capability depends jointly on model weights and the runtime harness that formats prompts, binds tools, and handles error recovery. Existing harness-model co-evolution approaches improve both components, yet often treat trajectories produced during harness search as an undifferentiated replay buffer. This practice overlooks that a trajectory's value for model training depends on the

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#297 most recent of 660 cs.CL papers we have recorded · ↑ newer: Your Prompt Should Do More: Effects of Retrieval Instructions in Embed · ↓ older: Document-Level Text Simplification in Estonian Using Large Language Mo
Cite this page: CoTrace: Data Recipes for Training Terminal Agents with Harness-Model Co-Evolution: the #297 most recent of 660 cs.CL papers we have recorded (as of 2026-10-07). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/cotrace-data-recipes-for-training-terminal-agents-with-harness-model-co-evolutio.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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