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Harness Continual Learning: Continual Adaptation Beyond Model Parameters
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Paper demonstrates that updating agent harnesses—prompts, tools, and routing—causes behavioral drift even when underlying LLM weights are frozen.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 2 October 2026
- Collected by OneBench
- 20 Aug 2026, 15:29 UK
Stored source excerpt
arXiv:2608.19013v1 Announce Type: new Abstract: Continual learning has largely been model-centric, treating model parameters as the state that changes with sequential experience. Modern agents can…
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