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Source record · 2026

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Qizheng Zhang, Changran Hu and colleagues

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Type
Academic and provider research
Publication
Stanford, UC Berkeley and SambaNova
Version used
arXiv v3
Source date
29 March 2026
Recorded in Atlas
23 October 2026
License
Original source rights apply; Atlas explanations and artwork are original.

Date of the consulted version, not a claim of independent replication. No separate validity period has been established for the finding.

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When agents learn from experience

Section 3; Limitations and Challenges

The stored playbook changes while model weights remain fixed.

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Supports this claim:Reusable context needs a policy for updating it.