RADAR Detects, Tames Reasoning Loops

RADAR points toward runtime control systems that understand why a reasoning model is looping, rather than merely cutting off long outputs after the damage is done.

• –Detects abnormal attention trends before visible repetition begins
• –Models reasoning as four states, separating useful reflection from uncontrolled generation
• –Realigns attention toward normal patterns to reduce excessive reasoning
• –Could lower inference costs and mitigate resource-exhaustion risks in deployed reasoning systems
• –Practical impact will depend on runtime overhead and validation across more model families