Capture Notes

The paper proposes GT-MCP, a controller-driven multi-agent method for robust contextual reasoning under prompt injection and context poisoning.

AI security relevance:

• Treats context management as a closed-loop process rather than isolated prompt filtering.
• Uses causal consistency against a validated context graph, semantic agreement among agents, drift detection, and rollback-based self-healing.
• Relevant to long-horizon context poisoning and GraphRAG/context provenance research questions.

Suggested ingest focus:

• Compare claimed defense properties against existing prompt-injection and persistent context integrity evidence.