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Identity drift in generative agents reveals that anti-self-deception is a dominant modification behavior, challenging assumptions about agent fidelity under pressure.
Recovery routing can outperform escalation strategies by leveraging execution feedback, achieving a higher solve rate at only 35% of the typical recovery cost.
Even the most advanced vision-language models struggle to accurately identify anatomical structures in medical images, raising serious concerns about their reliability in clinical settings.
Ditching text chunks for full document page images in medical RAG boosts QA accuracy by a full percentage point, proving that visual context matters.
