This paper presents a simulation framework to optimize workflow composition in high-throughput computing environments, demonstrating up to 3.8x throughput increase and a 14.9x reduction in network ove…

This paper introduces PatchOptic, an interface for managing valid local updates in agentic workflows over shared state using optics and verified patches.

MOSAIC introduces a structured agentic framework that treats automated data science as a staged, context-grounded model selection problem, improving performance and traceability over traditional AutoM…

This paper proposes a conceptual model for large language model workflows, represented as persistent knowledge objects with a distinction between deterministic computation and mediated judgment.

This paper proposes Process-Reward Tactic Evolution, a framework for training LLM agents to execute long-horizon bioinformatics workflows in Galaxy using verified workflow rollouts and process verifie…

The paper introduces a certified purity architecture that strengthens governance in cognitive workflow systems by replacing insufficient runtime checks with cryptographically attested structural guara…

This paper introduces the Goal-Oriented Dialogue Runtime (GODR), a framework-neutral design pattern for managing complex, multi-domain, interruptible conversations with multiple interdependent objecti…

This paper proposes Workflow Cognition as a theoretical framework for explaining expertise as a dynamic cognitive phenomenon.

The paper introduces FlowSteer, a prompt-only attack that exploits vulnerabilities in how multi-agent LLM systems plan workflows, significantly increasing the success rate of malicious signal propagat…

The paper presents a new semantics for choreographies and a preorder relation to prove the Endpoint Projection Theorem in a modular and simpler way.

This paper introduces a domain-specific visual graph editor for designing modular applications in edge and cloud computing environments, enabling users to model kernels, shared memory nodes, and event…

This paper introduces progressive crystallization, a lifecycle for AI agents in IT operations that converts validated agent behaviors into cheaper and more reproducible deterministic workflows, increa…

This paper proposes an organizational memory for LLM-based agents to access and share enterprise-specific procedural knowledge for reliable business process execution.

This paper introduces Agentic Workflow Injection (AWI), a new class of vulnerability in LLM-powered GitHub Actions, and presents TaintAWI, a novel taint-analysis tool that identifies hundreds of explo…

This paper studies AI development frameworks for software engineering and proposes a six-dimension process taxonomy.

This paper investigates the transformation of message logs into event logs for synthesizing Industry nets from message exchanges between processes.

This paper introduces SkillComposer, a method for structured skill composition in LLM agents, which predicts an executable skill plan that jointly specifies the activated subset, count, and execution…