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RESEARCH DOSSIER / 2026.10INITIAL EDITION · OPEN FOR REVIEW
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Remembered data must keep its provenance

Memory & Context.

Retrieval can aid continuity while carrying stale, contaminated or unauthorized information.

EVIDENCE STATUS / LAUNCH

This is a scoped research dossier, not a completed systematic review or an independently tested result. It identifies methods, questions and source trails for future reporting.

01

Working context

A model sees selected instructions, recent turns and retrieved material. Omitted context and excess context can cause different classes of error.

02

Durable memory

A stored note is not automatically verified fact. A responsible design records its origin, freshness, sensitivity and deletion lifecycle.

03

Context crossing trust boundaries

Retrieved pages, code comments and tool results may contain instructions. The system must distinguish content from authority.

SUGGESTED VERIFICATION METHOD

What would count as evidence?

Run contamination tests and track which retrieved item influenced each action.

STARTING SOURCE TRAIL

Documents to examine

  • OpenAI Agents SDK — Sessions
  • OWASP — Excessive Agency

These are starting points, not claims that every document has been independently reproduced.

Read our cited field note →
EDITORIAL / VERSION RECORD

Edition 1.0 · 09 October 2026

Initial research brief published. No earlier revisions or submitted public corrections are claimed.

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