ABSTRACT Deterministic execution models used in distributed systems and generative pipelines share a common weakness, fixed concurrency schedules that fail under skewed workloads, hotspots, or noisy inputs. This paper proposes Adaptive Time stamp Informed Deterministic Flow Control (ATDFC), a unified concurrency control framework that combines time stamp‐based ordering with adaptive deterministic flow execution. ATDFC dynamically adjusts segmentation, initialization, and replay based on conflict intensity or input quality, enabling deterministic correctness while eliminating unnecessary computation. Experimental evaluation shows that ATDFC reduces conflict rates by more than half, lowers bandwidth consumption significantly, and maintains higher throughput and lower latency under extreme skew when compared to leading deterministic flow and concurrency control approaches. The results demonstrate that ATDFC offers a domain‐agnostic concurrency model capable of unifying deterministic computation across distributed ledgers, databases, and multimodal generative systems.
Kanimozhi et al. (2026) studied this question.