AI RESEARCH
ATLAS-RTC: Closing the Loop on LLM Agent Output with Token-Level Runtime Control
arXiv CS.LG
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ArXi:2603.27905v1 Announce Type: new We present ATLAS-RTC, a runtime control system for autoregressive language models that enforces structured output during decoding. ATLAS-RTC monitors generation at each step, detects drift from output contracts using lightweight signals, and applies targeted interventions such as biasing, masking, and rollback. Unlike post-hoc validation or static constrained decoding, it operates in a closed loop, enabling correction before errors materialize.