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PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows
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PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows (2025)PROV-AGENT: Unified Provenance for Tracki…Workflow provenance in the lifecycle of scientific machine learning (2021)Workflow provenance in the li…The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science (2025)The (R)evolution of Scientifi…Provenance and scientific workflows (2008)A survey on provenance: What for? What form? What from? (2017)FactSheets: Increasing trust in AI services through supplier's declarations of conformity (2019)MLflow2PROV: Extracting Provenance from Machine Learning Experiments (2023)Towards Lightweight Data Integration Using Multi-Workflow Provenance and Data Observability (2023)Capturing end-to-end provenance for machine learning pipelines (2024)FireWorks: a dynamic workflow system designed for high‐throughput applications (2015)CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research (2018)Applying the FAIR Principles to computational workflows (2025)
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References

  • 2021Workflow provenance in the lifecycle of scientific machine learning46 cited

Cited by

  • 2025The (R)evolution of Scientific Workflows in the Agentic AI Era: Towards Autonomous Science5 cited

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